applications of hci modeling

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© Insight 2014. All Rights Reserved LoggerMan and Applications of Human- Computer Interaction Modeling Zaher Hinbarji Dublin City University Cathal Gurrin, Rami Albatal

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© 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