Applications of HCI Modeling

© Insight 2014. All Rights Reserved
LoggerMan and Applications of Human-
Computer Interaction Modeling
Zaher Hinbarji
Dublin City University
Cathal Gurrin, Rami Albatal
© Insight 2015. All Rights Reserved
Outline
• LoggerMan:
• Demo (LoggerMan.org).
• Applications:
• Digital Memory/Diary.
• Security & Identification.
• Learning Difficulties Analysis.
• Mood and Emotion Detection.
• Profiling for Personalisation and Recommendation.
Slide 2
© Insight 2015. All Rights Reserved Slide 3
Live demo (LoggerMan.org).
LoggerMan
© Insight 2015. All Rights Reserved Slide 4
The passively collected data can be seen as digital memory of
our computer activities.
Digital Memory/Diary
© Insight 2015. All Rights Reserved Slide 5
The passively collected data can be seen as digital memory of
our computer activities.
• Content we create (via typing, drawing,..) is preserved.
Digital Memory/Diary
© Insight 2015. All Rights Reserved Slide 6
The passively collected data can be seen as digital memory of
our computer activities.
• Content we consume (via reading, web surfing,..) is preserved.
Digital Memory/Diary
© Insight 2015. All Rights Reserved Slide 7
The passively collected data can be seen as digital memory of
our computer activities.
• Interest, communication, socialisation and habits are captured.
Digital Memory/Diary
© Insight 2015. All Rights Reserved Slide 8
The passively collected data can be seen as digital memory of
our computer activities.
• Automatic summarisation and event/activity/content detection
can be applied to produce richer Diary.
Digital Memory/Diary
Image source:
thesocialbot.com
© Insight 2015. All Rights Reserved Slide 9
The passively collected data can be seen as digital memory of
our computer activities.
• Personal search engine.
Digital Memory/Diary
© Insight 2015. All Rights Reserved Slide 10
Capturing the current computer usage prints and matching that
back to the previously built user profiles database.
• Mouse Dynamics
• A signature for each user based on mouse usage
characteristics.
• Keystrokes Dynamics
• Based on the way and the rhythm in which a user types on a
keyboard.
• GUI Modeling.
• Based on the method, skill or style of interaction with a
graphical user interface environment.
• Comprehensive Intrusion Detection System.
Identification & Security
© Insight 2015. All Rights Reserved Slide 11
Keyboard logging provides detailed information about the writing
process that was not accessible previously.
• Cognitive writing.
• Description of writing strategies.
• Children writing development.
• Writing and spelling difficulties analysis.
• Programming and typing skills.
• Predicting pass/fail and supporting online learning.
Learning Difficulties Analysis
© Insight 2015. All Rights Reserved Slide 12
• Stress detection based on keyboard & mouse usage analysis.
• Emotion detection.
• Depression detection?
Mood and Emotion Detection.
Credit: Syda Productions/Shutterstock.com
© Insight 2015. All Rights Reserved Slide 13
• Male/Female.
• Right handed, left handed detection.
• Age categorization.
• Interest (Sport, Movies, NEWS, …).
• Writing style.
• Work shift/schedule detection.
Profiling
Thank You
1 of 14

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Applications of HCI Modeling

  • 1. © Insight 2014. All Rights Reserved LoggerMan and Applications of Human- Computer Interaction Modeling Zaher Hinbarji Dublin City University Cathal Gurrin, Rami Albatal
  • 2. © Insight 2015. All Rights Reserved Outline • LoggerMan: • Demo (LoggerMan.org). • Applications: • Digital Memory/Diary. • Security & Identification. • Learning Difficulties Analysis. • Mood and Emotion Detection. • Profiling for Personalisation and Recommendation. Slide 2
  • 3. © Insight 2015. All Rights Reserved Slide 3 Live demo (LoggerMan.org). LoggerMan
  • 4. © Insight 2015. All Rights Reserved Slide 4 The passively collected data can be seen as digital memory of our computer activities. Digital Memory/Diary
  • 5. © Insight 2015. All Rights Reserved Slide 5 The passively collected data can be seen as digital memory of our computer activities. • Content we create (via typing, drawing,..) is preserved. Digital Memory/Diary
  • 6. © Insight 2015. All Rights Reserved Slide 6 The passively collected data can be seen as digital memory of our computer activities. • Content we consume (via reading, web surfing,..) is preserved. Digital Memory/Diary
  • 7. © Insight 2015. All Rights Reserved Slide 7 The passively collected data can be seen as digital memory of our computer activities. • Interest, communication, socialisation and habits are captured. Digital Memory/Diary
  • 8. © Insight 2015. All Rights Reserved Slide 8 The passively collected data can be seen as digital memory of our computer activities. • Automatic summarisation and event/activity/content detection can be applied to produce richer Diary. Digital Memory/Diary Image source: thesocialbot.com
  • 9. © Insight 2015. All Rights Reserved Slide 9 The passively collected data can be seen as digital memory of our computer activities. • Personal search engine. Digital Memory/Diary
  • 10. © Insight 2015. All Rights Reserved Slide 10 Capturing the current computer usage prints and matching that back to the previously built user profiles database. • Mouse Dynamics • A signature for each user based on mouse usage characteristics. • Keystrokes Dynamics • Based on the way and the rhythm in which a user types on a keyboard. • GUI Modeling. • Based on the method, skill or style of interaction with a graphical user interface environment. • Comprehensive Intrusion Detection System. Identification & Security
  • 11. © Insight 2015. All Rights Reserved Slide 11 Keyboard logging provides detailed information about the writing process that was not accessible previously. • Cognitive writing. • Description of writing strategies. • Children writing development. • Writing and spelling difficulties analysis. • Programming and typing skills. • Predicting pass/fail and supporting online learning. Learning Difficulties Analysis
  • 12. © Insight 2015. All Rights Reserved Slide 12 • Stress detection based on keyboard & mouse usage analysis. • Emotion detection. • Depression detection? Mood and Emotion Detection. Credit: Syda Productions/Shutterstock.com
  • 13. © Insight 2015. All Rights Reserved Slide 13 • Male/Female. • Right handed, left handed detection. • Age categorization. • Interest (Sport, Movies, NEWS, …). • Writing style. • Work shift/schedule detection. Profiling

Editor's Notes

  1. The stats are overwhelming. Every single minute, the world is said to generate 1.7 million billion bytes of data, equal to 360,000 DVDs or over 6 megabytes for each man, woman and child on this planet every day. Big Data projects are getting 89 million euros in 2014 and 2015 from the H2020 programme.