Robots in Museums             An Analysis of Best Practice in Human Robot Interaction                                     ...
Content1. What Robots?        From a Cultural Concept to „Robotics“,                  3 Min.                       Social ...
1. What Robots?                 Cultural Concept “Robot”                What does „Robotics“ do?             Social Robots...
1. What Robots?                                            Cultural Concept „Robots“   ANCIENT WORLD   -   artificial, man...
1. What Robots?             3 Strands from Cultural concepts of „Robots“14.06.2012                                        ...
1. What Robots?             What is „Robotics“ doing?14.06.2012                                   Andreas Bischof, M.A.
1. What Robots?                    Social Robots as border crossers- Informational Gap due to Perspective Problem: users a...
2. Robots in Museums                   Scenario “Tour Guide”                    Lock Back - Timeline                   Min...
2. Robots in Museums                            Scenario „Tour-Guide Robots“Challenges:              crowded ‘real’ enviro...
2. Robots in Museums14.06.2012            Andreas Bischof, M.A.
2. Robots in Museums             Minerva – The Pioneer14.06.2012                                Andreas Bischof, M.A.
2. Robots in Museums                                 Minerva – The PioneerFeatures making her a Trendsetter:-     on the f...
2. Robots in Museums             Fraunhofer Robots – robust species14.06.2012                                        Andre...
2. Robots in Museums                   Fraunhofer Robots – robust species- 40 km / day each- working since 11 years- simpl...
2. Robots in Museums             RoboX – class winner14.06.2012                               Andreas Bischof, M.A.
2. Robots in Museums                           RoboX – class winnersecret of success: human-like interactional behaviour- ...
2. Robots in Museums                                                    Comparing                                     Mine...
3. Designing HRI              Colliding Term “Interaction”             Having ideas, lacking Methods                   Res...
3. Designing HRI  Human Robot Interaction: Colliding Definitions of „Interaction“Informatics: one-way; Human > Computer   ...
3. Designing HRI                     Having Ideas, lacking Methods- a lot of (successfull) ideas in designing HRI, but no ...
3. Designing HRI             What is the problem about this HRI trial and error?What they say…                            ...
3. Designing HRI                     Nevertheless they evaluated HRI                                  (3 out of 60 papers)...
Which principles make HRI successfully?                          (making the other 57 papers talking)- Knowing about inter...
3. Designing HRI             „Honesty“                                „Deception“transparent design:                      ...
4. What‘s up?                 Fields to Improve             Questions on our Project             Project Idea CrossWorlds1...
4. What‘s up?                               Fields to improve                                (technical & HRI)Everything c...
Questions for our Project- Motivation: learning object, demonstrator, museum feature?- Scenario: What Problem does the rob...
4. What‘s up                             Just an Idea…- foster interactions between visitors- attach robot features to the...
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Robots in Museums - An Analysis of Best Practice in HRI

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The Talk presents a Meta Study of 60 Papers about Social Robots in Museums. The specific scenario "Tour-Guide Robot" provides several challenges, social Robots have to accomplish for everyday life usability (e.g. "sponateneous short-term interaction"). Due to this between 1996 and 2005 more than 25 different Robots were built for museal Use.
I I evalueted these Robots concerning their attributes in Human Robot Interaction:
- How did the constructers modelled the User?
- What was the Project Goal / The Main Task of the Robot
- How could the robot 'interact' with visitors
- What results brought up the implementation in the real life environment Museum?

As conclusion the Presentation introduces three different Examples of Museum Robots to show two main principles for HRI: honesty and deception.

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Robots in Museums - An Analysis of Best Practice in HRI

  1. 1. Robots in Museums An Analysis of Best Practice in Human Robot Interaction Andreas Bischof, M.A. Cultural Science Graduate School CrossWorlds University of Technology Chemnitz 06/14/201214.06.2012 Andreas Bischof, M.A.
  2. 2. Content1. What Robots? From a Cultural Concept to „Robotics“, 3 Min. Social Robots as border crossers2. Robots in Museums Scenario „Tour Guide“; Timeline; 3 Examples: 8 Min. Pioneer, robust & class winner3. Designing HRI Having Ideas, lacking Methods; What can HRI 7 Min. learn from Museums Robots?4. What‘s up? Open Issues; Project Idea CrossWorlds 2 Min.14.06.2012 Andreas Bischof, M.A.
  3. 3. 1. What Robots? Cultural Concept “Robot” What does „Robotics“ do? Social Robots as border crossers14.06.2012 Andreas Bischof, M.A.
  4. 4. 1. What Robots? Cultural Concept „Robots“ ANCIENT WORLD - artificial, man-like, subserving (i.e. Talus) MIDDLE AGES & RENAISSANCE - mechanic / automatic (DaVinci, Al-Jazari) - souled, threatening (Golem) 18th & 19th CENTURY - androids (Jaquet-Droz, E.T.A. Hoffmann ) - artificial life (Frankenstein‘s Monster) 20th CENTURY - Robots as Members of Society - Robots as Replacement for Humans14.06.2012 Andreas Bischof, M.A.
  5. 5. 1. What Robots? 3 Strands from Cultural concepts of „Robots“14.06.2012 Andreas Bischof, M.A.
  6. 6. 1. What Robots? What is „Robotics“ doing?14.06.2012 Andreas Bischof, M.A.
  7. 7. 1. What Robots? Social Robots as border crossers- Informational Gap due to Perspective Problem: users are not experts; creators are not users- People make sense about machines: Theory of Mind Uncanny Valley- Robots in social and everyday scenarios are confronted with these cultural concepts!14.06.2012 Andreas Bischof, M.A.
  8. 8. 2. Robots in Museums Scenario “Tour Guide” Lock Back - Timeline Minerva – The pioneer Fraunhofer Robots – robust species RoboX – Class Winner14.06.2012 Andreas Bischof, M.A.
  9. 9. 2. Robots in Museums Scenario „Tour-Guide Robots“Challenges: crowded ‘real’ environment, no laboratory uninformed, untrained users set of everyday tasks short length of use  „Spontaneous Short-Term Interaction“Motivations: Robots as Demonstrators Robots as learning objects Robots as attraction for museal context Robots as Products 14.06.2012 Andreas Bischof, M.A.
  10. 10. 2. Robots in Museums14.06.2012 Andreas Bischof, M.A.
  11. 11. 2. Robots in Museums Minerva – The Pioneer14.06.2012 Andreas Bischof, M.A.
  12. 12. 2. Robots in Museums Minerva – The PioneerFeatures making her a Trendsetter:- on the fly task planning- constructors aim: „believable agent“ - display internal states to reach attended goals 14.06.2012 Andreas Bischof, M.A.
  13. 13. 2. Robots in Museums Fraunhofer Robots – robust species14.06.2012 Andreas Bischof, M.A.
  14. 14. 2. Robots in Museums Fraunhofer Robots – robust species- 40 km / day each- working since 11 years- simple Navigation (scratched map)- simple Presentation (everything fixed)- limited interactional potential  darlings of the public! 14.06.2012 Andreas Bischof, M.A.
  15. 15. 2. Robots in Museums RoboX – class winner14.06.2012 Andreas Bischof, M.A.
  16. 16. 2. Robots in Museums RoboX – class winnersecret of success: human-like interactional behaviour- ‚natural‘ perception (Face, Voice)- ‚natural‘ expression (facial expression, 7 emotional states)- includes Reactive Presentation Scenarios 14.06.2012 Andreas Bischof, M.A.
  17. 17. 2. Robots in Museums Comparing Minerva Fraunhofer-Robots RoboX built 1997 built 2000 built 2002 Main Task Guiding Attracting Guiding Mapping live scratched live Task Planning on the fly fixed on the fly, reactive Perception obstacle avoidance obstacle avoidance Face, Voice, Buttons Internal States 4 States 2 States 7 States Expression Screen, Voice, Face Screen, Voice Screen, Voice, Face Presentation of Reactive Scenarios: Content* adapted: "crowded?" initialized: "people?" "yes/no?" (canned)14.06.2012 Andreas Bischof, M.A.
  18. 18. 3. Designing HRI Colliding Term “Interaction” Having ideas, lacking Methods Results of Inquiry 2 principles14.06.2012 Andreas Bischof, M.A.
  19. 19. 3. Designing HRI Human Robot Interaction: Colliding Definitions of „Interaction“Informatics: one-way; Human > Computer i.e. dragging, pushing, zooming, manipulating Average Joe: mixture of both; tends to anthropomorphise technical artifactsSocial Sciences: both ways; Human <> Human (or others?) i.e. talking, coordination on sidewalk, presenting a paper14.06.2012 Andreas Bischof, M.A.
  20. 20. 3. Designing HRI Having Ideas, lacking Methods- a lot of (successfull) ideas in designing HRI, but no methodical reflected procedures to modell user or specific interaction scenarios up front- i.e. „What does it mean for the user to be in a Museum?“- Newer developments: Axiomatic Design, Interaction Design14.06.2012 Andreas Bischof, M.A.
  21. 21. 3. Designing HRI What is the problem about this HRI trial and error?What they say… … what happens We thought… ? … this specific Voice / Content / Menu would be approperiate. The Robot does… … recognizes person, asks for aternatives.14.06.2012 Andreas Bischof, M.A.
  22. 22. 3. Designing HRI Nevertheless they evaluated HRI (3 out of 60 papers)- "people are basically destructive" (Nourbakhsh et al. 2002a)- most attracting: motion and awareness of human presence- most effective: dialogical interactions, multi modality- Physical design: height between 1.50 - 1.60 m for interactional robots- Children are significantly higher attracted by robots than adults 14.06.2012 Andreas Bischof, M.A.
  23. 23. Which principles make HRI successfully? (making the other 57 papers talking)- Knowing about interactional structures makes robots better interaction partners- Form follows function: HCI input can be adopted easily- Perception of humans in a human way raises potential for adaptive behaviour (from „something?“ to „somebody!“)14.06.2012 Andreas Bischof, M.A.
  24. 24. 3. Designing HRI „Honesty“ „Deception“transparent design: impressive design:tutorial-welcoming character designshowing (real) states and goals use of professional Storytellersallowing the user to understand using the (cultural and social pre-the machine‘s (and it‘s formed) narratives and Typecastsconstructor‘s) intention of everyday-life both principles can achieve trust (Reliability)! both principles can lead to Uncanny Valley problems!14.06.2012 Andreas Bischof, M.A.
  25. 25. 4. What‘s up? Fields to Improve Questions on our Project Project Idea CrossWorlds14.06.2012 Andreas Bischof, M.A.
  26. 26. 4. What‘s up? Fields to improve (technical & HRI)Everything concerning human speech more ‚natural‘ HRI Multi-User Usability (i.e. age)Interacting with Web Devices Locomotion Concepts adjust robot‘s features to the Museum‘s goals14.06.2012 Andreas Bischof, M.A.
  27. 27. Questions for our Project- Motivation: learning object, demonstrator, museum feature?- Scenario: What Problem does the robot solves in the Museum?- Fame: What do we do better than others?14.06.2012 Andreas Bischof, M.A.
  28. 28. 4. What‘s up Just an Idea…- foster interactions between visitors- attach robot features to the museum‘s needs- foster collaboration between graduate school members14.06.2012 Andreas Bischof, M.A.

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