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Applications of HCI Modeling

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Applications of HCI Modeling

  1. 1. © Insight 2014. All Rights Reserved LoggerMan and Applications of Human- Computer Interaction Modeling Zaher Hinbarji Dublin City University Cathal Gurrin, Rami Albatal
  2. 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. 3. © Insight 2015. All Rights Reserved Slide 3 Live demo (LoggerMan.org). LoggerMan
  4. 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. 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. 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. 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. 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. 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. 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. 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. 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. 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
  14. 14. Thank You

Editor's Notes

  • 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.
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