Abstract
Automated stress detection is important in developing adaptive e-learning systems. Empirical evidence suggests that mouse dynamics and keyboard dynamics analyses can be both effective in user behaviour modelling as well as emotion detection compared to physiological measures and facial expression recognitions, and yet they are far less expensive and considered non-intrusive. This paper investigates how mouse dynamics and keyboard dynamics can be affected by emotional stress, particularly stress induced by time pressure, text length and language familiarity. Our research findings show that longer text and unfamiliar language raise users' stress perceptions. Demanding job such as long typing task could result in anomalous behaviours once the users have lost motivation. Language familiarity mainly affects keyboard behaviour but text length change mouse behaviour. This shows that there is a good potential of developing an adaptive e-learning system by detecting learners' emotional stress from keyboard and mouse input.
Original language | English |
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Title of host publication | Proceedings of 2014 Science and Information Conference, SAI 2014 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
Pages | 329-338 |
Number of pages | 10 |
ISBN (Electronic) | 9780989319317 |
DOIs | |
Publication status | Published - 9 Oct 2014 |
Externally published | Yes |
Event | 2014 Science and Information Conference, SAI 2014 - London, United Kingdom Duration: 27 Aug 2014 → 29 Aug 2014 |
Publication series
Name | Proceedings of 2014 Science and Information Conference, SAI 2014 |
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Conference
Conference | 2014 Science and Information Conference, SAI 2014 |
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Country/Territory | United Kingdom |
City | London |
Period | 27/08/14 → 29/08/14 |
Bibliographical note
Publisher Copyright:© 2014 The Science and Information (SAI) Organization.
Acknowledgement: The authors would like to thank Tunku Abdul Rahman University College for allowing the experiments to be setup and conducted in one of its laboratory.
Keywords
- emotional stress
- keyboard dynamics
- language familiarity
- mouse dynamics
- text length