SlideShare a Scribd company logo
1 of 27
Walking Your Virtual Dog:
Analysis of Awareness and Proxemics with Simulated
Support Animals in Augmented Reality
ISMAR 2019
Nahal Norouzi, Kangsoo Kim, Myungho Lee, Ryan Schubert, Austin Erickson, Jeremy Bailenson, Gerd Bruder, Greg Welch
Presenter: Seunghyeong Choe
2020. 07. 24
Contents
• Overview
• Related Work
• Research Questions
• Experimental Design
• Measures and Hypothesis
• Results
• Discussions
Overview of the paper
2
Virtual
Animal
Robotics
Animal
• social companion
• emotional support
• strong social bond
• Human-Animal Interaction
• Emotional interaction
• Co-existence
• Companionship
• Therapy
Application in VR and AR
Understanding of behaviors and characteristics of virtual animals in HMD and their interaction
• Psychology: Positive effects of domestic animals [1]
 Blood pressure [2]
 Stress management [3]
 Depression [4]
• Robotics
 Sony Aibo: Comparison of behavior between real dog and Sony Aibo [5]
 Cat toy [6]
 Similar behavioral responses towards both robot and real dog [7]
Related Work
3
[1] S. A. Zinn and A. M. Beck. From the Editors: The humananimal bond and domestication: Through the ages . . . animals in our lives. Animal Frontiers, 4(3):5–6, 2014.
[2] K. Allen. Are pets a healthy pleasure? the influence of pets on blood pressure. Current Directions in Psychological Science, 12(6):236–239, 2003.
[3] J. M. Siegel. Stressful life events and use of physician services among the elderly: the moderating role of pet ownership. Journal of personality and social psychology, 58(6):1081, 1990.
[4] D. M. Collins, S. G. Fitzgerald, N. Sachs-Ericsson, M. Scherer, R. A. Cooper, and M. L. Boninger. Psychosocial well-being and community participation of service dog partners. Disability and Rehabilitation: Assistive Technology, 1(1-2):41–48, 2006.
[5] G. F. Melson, P. H. Kahn Jr, A. M. Beck, B. Friedman, T. Roberts, and E. Garrett. Robots as dogs?: children’s interactions with the robotic dog AIBO and a live australian shepherd. In ACM Human factors in computing systems, pp. 1649–1652, 2005.
[6] K. Thodberg, L. U. Sørensen, P. B. Videbech, P. H. Poulsen, B. Houbak, V. Damgaard, I. Keseler, D. Edwards, and J.W. Christensen. Behavioral responses of nursing home residents to visits from a person with a dog, a robot seal or a toy cat. Anthrozoos, 29(1):107–121, 2016.
[7] A. Kerepesi, E. Kubinyi, G. Jonsson, M. Magnusson, and A. Miklosi. Behavioural comparison of human–animal (dog) and human–robot (aibo) interactions. Behavioural processes, 73(1):92–99, 2006.
• VR/AR on human-animal interaction
 The Sims: Pets , Nintendogs
 Animals in a digital classroom increased learning motivation [1]
 Healthy habits in eating [2] and exercise [3]
 Realistic rendering and animation [4, 5, 6, 7]
• Proxemics and Locomotion Behavior
 Proxemics (근접학)
• Managing surrounding space in reaction to other social and nonsocial entities in the space
• Keeping a comfortable distance while walking with other people
 No prior work of the effects of AR animals on proxemics and locomotion behavior
Related Work
4
[1] Z.-H. Chen, C.-Y. Chou, Y.-C. Deng, and T.-W. Chan. Active open learner models as animal companions: Motivating children to learn through interacting with my-pet and our-pet. International Journal of Artificial Intelligence in Education, 17(2):145–167, 2007.
[2] S. J. Ahn, K. Johnsen, J. Moore, S. Brown, M. Biersmith, and C. Ball. Using virtual pets to increase fruit and vegetable consumption in children: A technology-assisted social cognitive theory approach. Cyberpsychology, Behavior, and Social Networking, 19(2):86–92, 2016.
[3] S. J. Ahn, K. Johnsen, T. Robertson, J. Moore, S. Brown, A. Marable, and A. Basu. Using virtual pets to promote physical activity in children: An application of the youth physical activity promotion model. Journal of health communication, 20(7):807–815, 2015.
[4] S. Coros, A. Karpathy, B. Jones, L. Reveret, and M. Van De Panne. Locomotion skills for simulated quadrupeds. In ACM Transactions on Graphics, vol. 30, p. 59, 2011.
[5] X. B. Peng, G. Berseth, and M. Van de Panne. Dynamic terrain traversal skills using reinforcement learning. ACM Transactions on Graphics, 34(4):80, 2015.
[6] L.-Q. Yan, C.-W. Tseng, H. W. Jensen, and R. Ramamoorthi. Physically-accurate fur reflectance: modeling, measurement and rendering. ACM Transactions on Graphics, 34(6):185, 2015.
[7] H. Zhang, S. Starke, T. Komura, and J. Saito. Mode-adaptive neural networks for quadruped motion control. ACM Transactions on Graphics, 37(4):145, 2018.
• Existing initial realizations
Related Work
5
Playstation EyePet Microsoft HoloPet Magic Leap Porg
Research Questions
6
Q1
Q2
Q3
How does walking an AR dog change its owner’s locomotion behavior
and proxemics in the presence of another person?
How do the AR dog’s awareness and behavior with respect to a person
in the physical environment affect its owner’s perception of the dog
and that person?
How does another person’s apparent ability to see the AR dog affect
the owner’s perception and behavior with respect to the dog
and that person?
• Investigate AR dog on,
 Human perception, behavior, locomotion, and proxemics.
• Participants
 21 participants (8 females, 13 males, graduate and undergraduate students)
 14 owned pets
 13 reported experience interacting with virtual pets
 Familiarity
• Computer: 5.38/7
• VR: 4.71/7
• AR: 3.42/7
 4 participants were excluded because of technical issues of HoloLens HMD
Experimental Design
7
• AR dog’s appearance and control
 Beagle dog [1, 2] model animated and rendered via the Unity graphics engine
 Following and keeping a distance of 35cm from left or right side of participants
 Set speed to 0.5m/s [3, 4, 5]
 Auditory feedback: panting, barking, or sniffing
 Remotely controlled by a human experimenter using a separate computer
Experimental Design: Material
8
[1] R. Coppinger and L. Coppinger. Dogs: A Startling New Understanding of Canine Origin, Behavior & Evolution. Scribner, 1st ed., 2001.
[2] V. Schwind, K. Leicht, S. J¨ager, K. Wolf, and N. Henze. Is there an uncanny valley of virtual animals? a quantitative and qualitative investigation. International Journal of Human-Computer Studies, 111:49–61,
2018.
[3] G. Goslow, H. Seeherman, C. Taylor, M. McCutchin, and N. Heglund. Electrical activity and relative length changes of dog limb muscles as a function of speed and gait. Journal of Experimental Biology, 94(1):15–42, 1981.
[4] C. T. Rubin and L. E. Lanyon. Limb mechanics as a function of speed and gait: a study of functional strains in the radius and tibia of horse and dog. Journal of experimental biology, 101(1):187–211, 1982.
[5] Swifto: How fast should I walk my dog? . https://swifto.com/blog/howfast-should-i-walk-my-dog, 2019.
6 behavior patterns 4 color patterns
• Physical setup
Experimental Design: Material
9
 Preparation Room
• Quiet, isolated
• Give description and instruction
 Human Confederates
• Include co-experimenters
• Perform standardized behaviors
 Interaction Room
• Regular office-like image projected onto the walls
 Walkway
• Measure walking behavior
• 2 X 2 mixed factorial design
 Confederate:
• Aware: Saying ”Oh, there’s a dog”
• Unaware: Did not wear a HoloLens
 AR dog:
• Aware: Respond to the collision
• Unaware: Foot pass through the AR dog
Experimental Design: Study Design
10
• Phase 1 [Dog Personalization]
 Choosing appearance and naming
• Phase 2 [Play session]
 Wear HoloLens and see the AR dog
 3 minutes to interact and play with verbal commands
Experimental Design: Procedure
11
• Phase 3 [Witnessing Collision]
• Phase 4 [Walking without AR Dog]
• Phase 5 [Walking with AR Dog]
• Experience another Phase 3-5 with a
different condition
Experimental Design: Procedure
12
• Proxemics and Locomotion Behavior
 Logged head pose tracking information (Phase 4, 5)
Measures and Hypotheses
13
Passing Distance
Walking Speed
Head Rotation
Trajectory Length
Observation Ratio
• Minimum clearance distance to the confederate
• Indicator of participants’ personal space and social presence with other entities
• Average walking speed
• Faster or slower than 0.5m/s: participants’ connection to their dog
• Trajectory of participants’ gaze
• Length of the path
• The time participants looked at their AR dog and divided it by
the total time when the collision happened
• AR Animal Perception in a Shared Space
 Questionnaires
Measures and Hypotheses
14
Co-Presence
Godspeed
Perceived Physicality
Affective Attraction
• Basdogan’s Co-Presence questionnaire [1]
• “Anthropomorphism” category of the Godspeed questionnaire
designed by Bartneck et al. [2]
• Trajectory of participants’ gaze
• Length of the path
[1] C. Basdogan, C.-H. Ho, M. A. Srinivasan, and M. Slater. An experimental study on the role of touch in shared virtual environments. ACM Transactions on Computer-Human Interaction, 7(4):443–460, 2000.
[2] C. Bartneck, E. Croft, and D. Kulic. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1):71–81, 2009.
• Hypothesis
 H1: Different proxemics and locomotion behavior will be exhibited with the AR dog
 H2: Different proxemics and locomotion behavior will be exhibited:
• When the dog aware the confederate
• When the confederate aware the dog
 H3: If the dog is aware and reactive to the collision,
• Experience a higher level of co-presence
• Perceive it as a more physical entity
 H4: If the dog is aware and reactive to the collision,
• Score higher in the Animalism category of the Godspeed questionnaire
 H5: Lower levels of affect to the confederate through the affective attraction
• When the dog aware the confederate
• When the confederate aware the dog
Measures and Hypotheses
15
• Proxemics and Locomotion Behavior
Results
16
• AR dog influenced proxemics behavior
• No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
• Effect of social presence
• Proxemics and Locomotion Behavior
Results
17
• Slowed down when walking with their AR dog
• No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
• Proxemics and Locomotion Behavior
Results
18
• Significant difference between alone and with dog
• No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
• Proxemics and Locomotion Behavior
Results
19
• Longer path with the dog
• No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
• Proxemics and Locomotion Behavior
Results
20
• Observe more if the dog respond to the collision
• No significant difference between groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
• AR Animal Perception in a Shared Space
Results
21
𝑪 𝑿,𝑨 (respond to collision) shows,
• Higher co-presence score
• Higher associated animalism
• Higher perceived physicality score
• Lower affect was perceived
* Affective Attraction: recognize confederate, 발에 걸려 넘어지지 않았을 경우 confederate을 더 많이 의식함
• Qualitative Feedback
 No significant correlation between ownership and how they address AR dog
 Keeping distance not to collide, giving more space to the AR dog
 Check the dog is following well
 Lack of trust if the dog was unaware of confederate
 Looking back to check further interactions
Results
22
• Effect of an AR Dog on Proxemics and Locomotion Behavior
 AR dog changed movement and orientation (H1 and H2)
 No attachment sensors → might result in more attentive behavior
• Effect of an AR Dog’s Awareness on Participant Perception
 Reacting to the collision
 AR dog aware the confederate
 Walked over the aware AR dog
 No significant difference whether confederate aware the AR dog (H5-2)
• due to short duration interaction, maybe
 AR dog with awareness and collision response affects,
• the dog’s perceived awareness of the environment
• the perceived awareness of the participant
Discussion
23
→ Feel co-presence (H3)
→ Higher degree of Animalism (H4)
→ Lower affect score to the confederate (H5-1)
• Longer duration interaction
• Task oriented AR animal
• AI and IoT will increase interactivity
Future Work
24
• Psychological aspects
 Behavior modification
 Positive effects on heartrate or depression
• Good for people who have difficulty raising pets
• Task oriented AR animal
 Dogs for the blind
Criticism
25
Thank you😀
Any questions?

More Related Content

Similar to [Seminar] seunghyeong 200724

Tiii presentation by dr. ir S.A.G. Stephan Wensveen
Tiii presentation by dr. ir S.A.G. Stephan WensveenTiii presentation by dr. ir S.A.G. Stephan Wensveen
Tiii presentation by dr. ir S.A.G. Stephan WensveenIndustrial Design Center
 
Survey Report on Animal Computer Interaction (ACI) from 05 Research Papers
Survey Report on Animal Computer Interaction (ACI) from 05 Research PapersSurvey Report on Animal Computer Interaction (ACI) from 05 Research Papers
Survey Report on Animal Computer Interaction (ACI) from 05 Research PapersRoohanaRehmat
 
Learning Social Affordances and Using Them for Planning
Learning Social Affordances and Using Them for PlanningLearning Social Affordances and Using Them for Planning
Learning Social Affordances and Using Them for PlanningKadir Uyanik
 
Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...
Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...
Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...Leigh-Chantelle
 
Moving Beyond Questionnaires to Evaluate MR Experiences
Moving Beyond Questionnaires to Evaluate MR ExperiencesMoving Beyond Questionnaires to Evaluate MR Experiences
Moving Beyond Questionnaires to Evaluate MR ExperiencesMark Billinghurst
 
NCUR Presentation
NCUR PresentationNCUR Presentation
NCUR PresentationJennifer Wu
 
From artificially intelligent systems towards real thinking tools and human s...
From artificially intelligent systems towards real thinking tools and human s...From artificially intelligent systems towards real thinking tools and human s...
From artificially intelligent systems towards real thinking tools and human s...Jorn Bettin
 
UXPA2019 Everyday Experiences with Robots
UXPA2019 Everyday Experiences with RobotsUXPA2019 Everyday Experiences with Robots
UXPA2019 Everyday Experiences with RobotsUXPA International
 
Positive Computing: Technology for wellbeing
Positive Computing: Technology for wellbeing Positive Computing: Technology for wellbeing
Positive Computing: Technology for wellbeing Dorian Peters
 
Slide share poscomp_15-ccare
Slide share poscomp_15-ccareSlide share poscomp_15-ccare
Slide share poscomp_15-ccareRafael A. Calvo
 
Slide share poscomp_15-ccare
Slide share poscomp_15-ccareSlide share poscomp_15-ccare
Slide share poscomp_15-ccareRafael A. Calvo
 
Siggraph Asia 2019 VR & AI workshop-wiles-handout
Siggraph Asia 2019 VR & AI workshop-wiles-handoutSiggraph Asia 2019 VR & AI workshop-wiles-handout
Siggraph Asia 2019 VR & AI workshop-wiles-handoutJoaquim Jorge
 
Animals Workshop Presentation For 4S conference Sydney
Animals Workshop Presentation For 4S conference SydneyAnimals Workshop Presentation For 4S conference Sydney
Animals Workshop Presentation For 4S conference SydneyAnn Morrison
 
Grant proposal presentation
Grant proposal presentationGrant proposal presentation
Grant proposal presentationJason Stauffer
 
Trans-Disciplinary Practice week 6
Trans-Disciplinary Practice week 6Trans-Disciplinary Practice week 6
Trans-Disciplinary Practice week 6R. Sosa
 
COMP 4010 - Lecture 2: Presence in Virtual Reality
COMP 4010 - Lecture 2: Presence in Virtual RealityCOMP 4010 - Lecture 2: Presence in Virtual Reality
COMP 4010 - Lecture 2: Presence in Virtual RealityMark Billinghurst
 

Similar to [Seminar] seunghyeong 200724 (20)

Tiii presentation by dr. ir S.A.G. Stephan Wensveen
Tiii presentation by dr. ir S.A.G. Stephan WensveenTiii presentation by dr. ir S.A.G. Stephan Wensveen
Tiii presentation by dr. ir S.A.G. Stephan Wensveen
 
Survey Report on Animal Computer Interaction (ACI) from 05 Research Papers
Survey Report on Animal Computer Interaction (ACI) from 05 Research PapersSurvey Report on Animal Computer Interaction (ACI) from 05 Research Papers
Survey Report on Animal Computer Interaction (ACI) from 05 Research Papers
 
Learning Social Affordances and Using Them for Planning
Learning Social Affordances and Using Them for PlanningLearning Social Affordances and Using Them for Planning
Learning Social Affordances and Using Them for Planning
 
kfu_poster_a4
kfu_poster_a4kfu_poster_a4
kfu_poster_a4
 
Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...
Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...
Leigh-Chantelle's OCURA2020 Presentation on Preschoolers and their Engagement...
 
Moving Beyond Questionnaires to Evaluate MR Experiences
Moving Beyond Questionnaires to Evaluate MR ExperiencesMoving Beyond Questionnaires to Evaluate MR Experiences
Moving Beyond Questionnaires to Evaluate MR Experiences
 
NCUR Presentation
NCUR PresentationNCUR Presentation
NCUR Presentation
 
Milo
MiloMilo
Milo
 
From artificially intelligent systems towards real thinking tools and human s...
From artificially intelligent systems towards real thinking tools and human s...From artificially intelligent systems towards real thinking tools and human s...
From artificially intelligent systems towards real thinking tools and human s...
 
UXPA2019 Everyday Experiences with Robots
UXPA2019 Everyday Experiences with RobotsUXPA2019 Everyday Experiences with Robots
UXPA2019 Everyday Experiences with Robots
 
Positive Computing: Technology for wellbeing
Positive Computing: Technology for wellbeing Positive Computing: Technology for wellbeing
Positive Computing: Technology for wellbeing
 
Slide share poscomp_15-ccare
Slide share poscomp_15-ccareSlide share poscomp_15-ccare
Slide share poscomp_15-ccare
 
Slide share poscomp_15-ccare
Slide share poscomp_15-ccareSlide share poscomp_15-ccare
Slide share poscomp_15-ccare
 
Story toy
Story toyStory toy
Story toy
 
Empathic Mixed Reality
Empathic Mixed RealityEmpathic Mixed Reality
Empathic Mixed Reality
 
Siggraph Asia 2019 VR & AI workshop-wiles-handout
Siggraph Asia 2019 VR & AI workshop-wiles-handoutSiggraph Asia 2019 VR & AI workshop-wiles-handout
Siggraph Asia 2019 VR & AI workshop-wiles-handout
 
Animals Workshop Presentation For 4S conference Sydney
Animals Workshop Presentation For 4S conference SydneyAnimals Workshop Presentation For 4S conference Sydney
Animals Workshop Presentation For 4S conference Sydney
 
Grant proposal presentation
Grant proposal presentationGrant proposal presentation
Grant proposal presentation
 
Trans-Disciplinary Practice week 6
Trans-Disciplinary Practice week 6Trans-Disciplinary Practice week 6
Trans-Disciplinary Practice week 6
 
COMP 4010 - Lecture 2: Presence in Virtual Reality
COMP 4010 - Lecture 2: Presence in Virtual RealityCOMP 4010 - Lecture 2: Presence in Virtual Reality
COMP 4010 - Lecture 2: Presence in Virtual Reality
 

More from ivaderivader

DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
DDGK: Learning Graph Representations for Deep Divergence Graph KernelsDDGK: Learning Graph Representations for Deep Divergence Graph Kernels
DDGK: Learning Graph Representations for Deep Divergence Graph Kernelsivaderivader
 
So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality
So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality
So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality ivaderivader
 
Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...
Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...
Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...ivaderivader
 
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...ivaderivader
 
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...ivaderivader
 
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial NetworksA Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networksivaderivader
 
CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...
CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...
CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...ivaderivader
 
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
Perception! Immersion! Empowerment! Superpowers as Inspiration for VisualizationPerception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualizationivaderivader
 
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...ivaderivader
 
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
Neural Approximate Dynamic Programming for On-Demand Ride-PoolingNeural Approximate Dynamic Programming for On-Demand Ride-Pooling
Neural Approximate Dynamic Programming for On-Demand Ride-Poolingivaderivader
 
StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...
StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...
StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...ivaderivader
 
Bad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTube
Bad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTubeBad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTube
Bad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTubeivaderivader
 
Invertible Denoising Network: A Light Solution for Real Noise Removal
Invertible Denoising Network: A Light Solution for Real Noise RemovalInvertible Denoising Network: A Light Solution for Real Noise Removal
Invertible Denoising Network: A Light Solution for Real Noise Removalivaderivader
 
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural Network
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural NetworkTraffic Demand Prediction Based Dynamic Transition Convolutional Neural Network
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural Networkivaderivader
 
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training  MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training ivaderivader
 
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components
Screen2Vec: Semantic Embedding of GUI Screens and GUI ComponentsScreen2Vec: Semantic Embedding of GUI Screens and GUI Components
Screen2Vec: Semantic Embedding of GUI Screens and GUI Componentsivaderivader
 
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...ivaderivader
 
Natural Language to Visualization by Neural Machine Translation
Natural Language to Visualization by Neural Machine TranslationNatural Language to Visualization by Neural Machine Translation
Natural Language to Visualization by Neural Machine Translationivaderivader
 

More from ivaderivader (20)

Argument Mining
Argument MiningArgument Mining
Argument Mining
 
Papers at CHI23
Papers at CHI23Papers at CHI23
Papers at CHI23
 
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
DDGK: Learning Graph Representations for Deep Divergence Graph KernelsDDGK: Learning Graph Representations for Deep Divergence Graph Kernels
DDGK: Learning Graph Representations for Deep Divergence Graph Kernels
 
So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality
So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality
So Predictable! Continuous 3D Hand Trajectory Prediction in Virtual Reality
 
Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...
Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...
Reinforcement Learning-based Placement of Charging Stations in Urban Road Net...
 
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...
Prediction for Retrospection: Integrating Algorithmic Stress Prediction into ...
 
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...
Mem2Seq: Effectively Incorporating Knowledge Bases into End-to-End Task-Orien...
 
A Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial NetworksA Style-Based Generator Architecture for Generative Adversarial Networks
A Style-Based Generator Architecture for Generative Adversarial Networks
 
CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...
CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...
CatchLIve: Real-time Summarization of Live Streams with Stream Content and In...
 
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
Perception! Immersion! Empowerment! Superpowers as Inspiration for VisualizationPerception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
Perception! Immersion! Empowerment! Superpowers as Inspiration for Visualization
 
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...
Learning to Remember Patterns: Pattern Matching Memory Networks for Traffic F...
 
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
Neural Approximate Dynamic Programming for On-Demand Ride-PoolingNeural Approximate Dynamic Programming for On-Demand Ride-Pooling
Neural Approximate Dynamic Programming for On-Demand Ride-Pooling
 
StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...
StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...
StoryMap: Using Social Modeling and Self-Modeling to Support Physical Activit...
 
Bad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTube
Bad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTubeBad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTube
Bad Breakdowns, Useful Seams, and Face Slapping: Analysis of VR Fails on YouTube
 
Invertible Denoising Network: A Light Solution for Real Noise Removal
Invertible Denoising Network: A Light Solution for Real Noise RemovalInvertible Denoising Network: A Light Solution for Real Noise Removal
Invertible Denoising Network: A Light Solution for Real Noise Removal
 
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural Network
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural NetworkTraffic Demand Prediction Based Dynamic Transition Convolutional Neural Network
Traffic Demand Prediction Based Dynamic Transition Convolutional Neural Network
 
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training  MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
MusicBERT: Symbolic Music Understanding with Large-Scale Pre-Training
 
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components
Screen2Vec: Semantic Embedding of GUI Screens and GUI ComponentsScreen2Vec: Semantic Embedding of GUI Screens and GUI Components
Screen2Vec: Semantic Embedding of GUI Screens and GUI Components
 
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...
Augmenting Decisions of Taxi Drivers through Reinforcement Learning for Impro...
 
Natural Language to Visualization by Neural Machine Translation
Natural Language to Visualization by Neural Machine TranslationNatural Language to Visualization by Neural Machine Translation
Natural Language to Visualization by Neural Machine Translation
 

Recently uploaded

Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slidespraypatel2
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesSinan KOZAK
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking MenDelhi Call girls
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking MenDelhi Call girls
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Miguel Araújo
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityPrincipled Technologies
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitecturePixlogix Infotech
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slidevu2urc
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Allon Mureinik
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationSafe Software
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationMichael W. Hawkins
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...HostedbyConfluent
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024Results
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxOnBoard
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024Scott Keck-Warren
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 3652toLead Limited
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsMaria Levchenko
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreternaman860154
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhisoniya singh
 

Recently uploaded (20)

Slack Application Development 101 Slides
Slack Application Development 101 SlidesSlack Application Development 101 Slides
Slack Application Development 101 Slides
 
Unblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen FramesUnblocking The Main Thread Solving ANRs and Frozen Frames
Unblocking The Main Thread Solving ANRs and Frozen Frames
 
08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men08448380779 Call Girls In Friends Colony Women Seeking Men
08448380779 Call Girls In Friends Colony Women Seeking Men
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
Mastering MySQL Database Architecture: Deep Dive into MySQL Shell and MySQL R...
 
Boost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivityBoost PC performance: How more available memory can improve productivity
Boost PC performance: How more available memory can improve productivity
 
Understanding the Laravel MVC Architecture
Understanding the Laravel MVC ArchitectureUnderstanding the Laravel MVC Architecture
Understanding the Laravel MVC Architecture
 
Histor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slideHistor y of HAM Radio presentation slide
Histor y of HAM Radio presentation slide
 
Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)Injustice - Developers Among Us (SciFiDevCon 2024)
Injustice - Developers Among Us (SciFiDevCon 2024)
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
Transforming Data Streams with Kafka Connect: An Introduction to Single Messa...
 
A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024A Call to Action for Generative AI in 2024
A Call to Action for Generative AI in 2024
 
Maximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptxMaximizing Board Effectiveness 2024 Webinar.pptx
Maximizing Board Effectiveness 2024 Webinar.pptx
 
SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024SQL Database Design For Developers at php[tek] 2024
SQL Database Design For Developers at php[tek] 2024
 
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
Neo4j - How KGs are shaping the future of Generative AI at AWS Summit London ...
 
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
Tech-Forward - Achieving Business Readiness For Copilot in Microsoft 365
 
Handwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed textsHandwritten Text Recognition for manuscripts and early printed texts
Handwritten Text Recognition for manuscripts and early printed texts
 
Presentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreterPresentation on how to chat with PDF using ChatGPT code interpreter
Presentation on how to chat with PDF using ChatGPT code interpreter
 
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | DelhiFULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
FULL ENJOY 🔝 8264348440 🔝 Call Girls in Diplomatic Enclave | Delhi
 

[Seminar] seunghyeong 200724

  • 1. Walking Your Virtual Dog: Analysis of Awareness and Proxemics with Simulated Support Animals in Augmented Reality ISMAR 2019 Nahal Norouzi, Kangsoo Kim, Myungho Lee, Ryan Schubert, Austin Erickson, Jeremy Bailenson, Gerd Bruder, Greg Welch Presenter: Seunghyeong Choe 2020. 07. 24
  • 2. Contents • Overview • Related Work • Research Questions • Experimental Design • Measures and Hypothesis • Results • Discussions
  • 3. Overview of the paper 2 Virtual Animal Robotics Animal • social companion • emotional support • strong social bond • Human-Animal Interaction • Emotional interaction • Co-existence • Companionship • Therapy Application in VR and AR Understanding of behaviors and characteristics of virtual animals in HMD and their interaction
  • 4. • Psychology: Positive effects of domestic animals [1]  Blood pressure [2]  Stress management [3]  Depression [4] • Robotics  Sony Aibo: Comparison of behavior between real dog and Sony Aibo [5]  Cat toy [6]  Similar behavioral responses towards both robot and real dog [7] Related Work 3 [1] S. A. Zinn and A. M. Beck. From the Editors: The humananimal bond and domestication: Through the ages . . . animals in our lives. Animal Frontiers, 4(3):5–6, 2014. [2] K. Allen. Are pets a healthy pleasure? the influence of pets on blood pressure. Current Directions in Psychological Science, 12(6):236–239, 2003. [3] J. M. Siegel. Stressful life events and use of physician services among the elderly: the moderating role of pet ownership. Journal of personality and social psychology, 58(6):1081, 1990. [4] D. M. Collins, S. G. Fitzgerald, N. Sachs-Ericsson, M. Scherer, R. A. Cooper, and M. L. Boninger. Psychosocial well-being and community participation of service dog partners. Disability and Rehabilitation: Assistive Technology, 1(1-2):41–48, 2006. [5] G. F. Melson, P. H. Kahn Jr, A. M. Beck, B. Friedman, T. Roberts, and E. Garrett. Robots as dogs?: children’s interactions with the robotic dog AIBO and a live australian shepherd. In ACM Human factors in computing systems, pp. 1649–1652, 2005. [6] K. Thodberg, L. U. Sørensen, P. B. Videbech, P. H. Poulsen, B. Houbak, V. Damgaard, I. Keseler, D. Edwards, and J.W. Christensen. Behavioral responses of nursing home residents to visits from a person with a dog, a robot seal or a toy cat. Anthrozoos, 29(1):107–121, 2016. [7] A. Kerepesi, E. Kubinyi, G. Jonsson, M. Magnusson, and A. Miklosi. Behavioural comparison of human–animal (dog) and human–robot (aibo) interactions. Behavioural processes, 73(1):92–99, 2006.
  • 5. • VR/AR on human-animal interaction  The Sims: Pets , Nintendogs  Animals in a digital classroom increased learning motivation [1]  Healthy habits in eating [2] and exercise [3]  Realistic rendering and animation [4, 5, 6, 7] • Proxemics and Locomotion Behavior  Proxemics (근접학) • Managing surrounding space in reaction to other social and nonsocial entities in the space • Keeping a comfortable distance while walking with other people  No prior work of the effects of AR animals on proxemics and locomotion behavior Related Work 4 [1] Z.-H. Chen, C.-Y. Chou, Y.-C. Deng, and T.-W. Chan. Active open learner models as animal companions: Motivating children to learn through interacting with my-pet and our-pet. International Journal of Artificial Intelligence in Education, 17(2):145–167, 2007. [2] S. J. Ahn, K. Johnsen, J. Moore, S. Brown, M. Biersmith, and C. Ball. Using virtual pets to increase fruit and vegetable consumption in children: A technology-assisted social cognitive theory approach. Cyberpsychology, Behavior, and Social Networking, 19(2):86–92, 2016. [3] S. J. Ahn, K. Johnsen, T. Robertson, J. Moore, S. Brown, A. Marable, and A. Basu. Using virtual pets to promote physical activity in children: An application of the youth physical activity promotion model. Journal of health communication, 20(7):807–815, 2015. [4] S. Coros, A. Karpathy, B. Jones, L. Reveret, and M. Van De Panne. Locomotion skills for simulated quadrupeds. In ACM Transactions on Graphics, vol. 30, p. 59, 2011. [5] X. B. Peng, G. Berseth, and M. Van de Panne. Dynamic terrain traversal skills using reinforcement learning. ACM Transactions on Graphics, 34(4):80, 2015. [6] L.-Q. Yan, C.-W. Tseng, H. W. Jensen, and R. Ramamoorthi. Physically-accurate fur reflectance: modeling, measurement and rendering. ACM Transactions on Graphics, 34(6):185, 2015. [7] H. Zhang, S. Starke, T. Komura, and J. Saito. Mode-adaptive neural networks for quadruped motion control. ACM Transactions on Graphics, 37(4):145, 2018.
  • 6. • Existing initial realizations Related Work 5 Playstation EyePet Microsoft HoloPet Magic Leap Porg
  • 7. Research Questions 6 Q1 Q2 Q3 How does walking an AR dog change its owner’s locomotion behavior and proxemics in the presence of another person? How do the AR dog’s awareness and behavior with respect to a person in the physical environment affect its owner’s perception of the dog and that person? How does another person’s apparent ability to see the AR dog affect the owner’s perception and behavior with respect to the dog and that person?
  • 8. • Investigate AR dog on,  Human perception, behavior, locomotion, and proxemics. • Participants  21 participants (8 females, 13 males, graduate and undergraduate students)  14 owned pets  13 reported experience interacting with virtual pets  Familiarity • Computer: 5.38/7 • VR: 4.71/7 • AR: 3.42/7  4 participants were excluded because of technical issues of HoloLens HMD Experimental Design 7
  • 9. • AR dog’s appearance and control  Beagle dog [1, 2] model animated and rendered via the Unity graphics engine  Following and keeping a distance of 35cm from left or right side of participants  Set speed to 0.5m/s [3, 4, 5]  Auditory feedback: panting, barking, or sniffing  Remotely controlled by a human experimenter using a separate computer Experimental Design: Material 8 [1] R. Coppinger and L. Coppinger. Dogs: A Startling New Understanding of Canine Origin, Behavior & Evolution. Scribner, 1st ed., 2001. [2] V. Schwind, K. Leicht, S. J¨ager, K. Wolf, and N. Henze. Is there an uncanny valley of virtual animals? a quantitative and qualitative investigation. International Journal of Human-Computer Studies, 111:49–61, 2018. [3] G. Goslow, H. Seeherman, C. Taylor, M. McCutchin, and N. Heglund. Electrical activity and relative length changes of dog limb muscles as a function of speed and gait. Journal of Experimental Biology, 94(1):15–42, 1981. [4] C. T. Rubin and L. E. Lanyon. Limb mechanics as a function of speed and gait: a study of functional strains in the radius and tibia of horse and dog. Journal of experimental biology, 101(1):187–211, 1982. [5] Swifto: How fast should I walk my dog? . https://swifto.com/blog/howfast-should-i-walk-my-dog, 2019. 6 behavior patterns 4 color patterns
  • 10. • Physical setup Experimental Design: Material 9  Preparation Room • Quiet, isolated • Give description and instruction  Human Confederates • Include co-experimenters • Perform standardized behaviors  Interaction Room • Regular office-like image projected onto the walls  Walkway • Measure walking behavior
  • 11. • 2 X 2 mixed factorial design  Confederate: • Aware: Saying ”Oh, there’s a dog” • Unaware: Did not wear a HoloLens  AR dog: • Aware: Respond to the collision • Unaware: Foot pass through the AR dog Experimental Design: Study Design 10
  • 12. • Phase 1 [Dog Personalization]  Choosing appearance and naming • Phase 2 [Play session]  Wear HoloLens and see the AR dog  3 minutes to interact and play with verbal commands Experimental Design: Procedure 11
  • 13. • Phase 3 [Witnessing Collision] • Phase 4 [Walking without AR Dog] • Phase 5 [Walking with AR Dog] • Experience another Phase 3-5 with a different condition Experimental Design: Procedure 12
  • 14. • Proxemics and Locomotion Behavior  Logged head pose tracking information (Phase 4, 5) Measures and Hypotheses 13 Passing Distance Walking Speed Head Rotation Trajectory Length Observation Ratio • Minimum clearance distance to the confederate • Indicator of participants’ personal space and social presence with other entities • Average walking speed • Faster or slower than 0.5m/s: participants’ connection to their dog • Trajectory of participants’ gaze • Length of the path • The time participants looked at their AR dog and divided it by the total time when the collision happened
  • 15. • AR Animal Perception in a Shared Space  Questionnaires Measures and Hypotheses 14 Co-Presence Godspeed Perceived Physicality Affective Attraction • Basdogan’s Co-Presence questionnaire [1] • “Anthropomorphism” category of the Godspeed questionnaire designed by Bartneck et al. [2] • Trajectory of participants’ gaze • Length of the path [1] C. Basdogan, C.-H. Ho, M. A. Srinivasan, and M. Slater. An experimental study on the role of touch in shared virtual environments. ACM Transactions on Computer-Human Interaction, 7(4):443–460, 2000. [2] C. Bartneck, E. Croft, and D. Kulic. Measurement instruments for the anthropomorphism, animacy, likeability, perceived intelligence, and perceived safety of robots. International Journal of Social Robotics, 1(1):71–81, 2009.
  • 16. • Hypothesis  H1: Different proxemics and locomotion behavior will be exhibited with the AR dog  H2: Different proxemics and locomotion behavior will be exhibited: • When the dog aware the confederate • When the confederate aware the dog  H3: If the dog is aware and reactive to the collision, • Experience a higher level of co-presence • Perceive it as a more physical entity  H4: If the dog is aware and reactive to the collision, • Score higher in the Animalism category of the Godspeed questionnaire  H5: Lower levels of affect to the confederate through the affective attraction • When the dog aware the confederate • When the confederate aware the dog Measures and Hypotheses 15
  • 17. • Proxemics and Locomotion Behavior Results 16 • AR dog influenced proxemics behavior • No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋 • Effect of social presence
  • 18. • Proxemics and Locomotion Behavior Results 17 • Slowed down when walking with their AR dog • No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
  • 19. • Proxemics and Locomotion Behavior Results 18 • Significant difference between alone and with dog • No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
  • 20. • Proxemics and Locomotion Behavior Results 19 • Longer path with the dog • No significant difference between groups 𝐶 𝑋,𝐴 and 𝐶 𝑋,𝑈, and groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
  • 21. • Proxemics and Locomotion Behavior Results 20 • Observe more if the dog respond to the collision • No significant difference between groups 𝐶𝐴,𝑋 and 𝐶 𝑈,𝑋
  • 22. • AR Animal Perception in a Shared Space Results 21 𝑪 𝑿,𝑨 (respond to collision) shows, • Higher co-presence score • Higher associated animalism • Higher perceived physicality score • Lower affect was perceived * Affective Attraction: recognize confederate, 발에 걸려 넘어지지 않았을 경우 confederate을 더 많이 의식함
  • 23. • Qualitative Feedback  No significant correlation between ownership and how they address AR dog  Keeping distance not to collide, giving more space to the AR dog  Check the dog is following well  Lack of trust if the dog was unaware of confederate  Looking back to check further interactions Results 22
  • 24. • Effect of an AR Dog on Proxemics and Locomotion Behavior  AR dog changed movement and orientation (H1 and H2)  No attachment sensors → might result in more attentive behavior • Effect of an AR Dog’s Awareness on Participant Perception  Reacting to the collision  AR dog aware the confederate  Walked over the aware AR dog  No significant difference whether confederate aware the AR dog (H5-2) • due to short duration interaction, maybe  AR dog with awareness and collision response affects, • the dog’s perceived awareness of the environment • the perceived awareness of the participant Discussion 23 → Feel co-presence (H3) → Higher degree of Animalism (H4) → Lower affect score to the confederate (H5-1)
  • 25. • Longer duration interaction • Task oriented AR animal • AI and IoT will increase interactivity Future Work 24
  • 26. • Psychological aspects  Behavior modification  Positive effects on heartrate or depression • Good for people who have difficulty raising pets • Task oriented AR animal  Dogs for the blind Criticism 25