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Towards estimating computer users’ mood from interaction behaviour with keyboard and mouse |
Iftikhar Ahmed KHAN1( ), Willem-Paul BRINKMAN2, Robert HIERONS3 |
1. Department of Computer Software Engineering, University of Engineering & Technology, Mardan 23200, Pakistan 2. Interactive Intelligence Group, Delft University of Technology, Delft 2628B, the Netherlands 3. Department of Information Systems and Computing, Brunel University, West London UB83PH, UK |
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Abstract The purpose of this exploratory research was to study the relationship between the mood of computer users and their use of keyboard and mouse to examine the possibility of creating a generic or individualized mood measure. To examine this, a field study (n = 26) and a controlled study (n = 16) were conducted. In the field study, interaction data and self-reported mood measurements were collected during normal PC use over several days. In the controlled study, participants worked on a programming task while listening to high or low arousing background music. Besides subjective mood measurement, galvanic skin response (GSR) data was also collected. Results found no generic relationship between the interaction data and the mood data. However, the results of the studies found significant average correlations between mood measurement and personalized regression models based on keyboard and mouse interaction data. Together the results suggest that individualized mood prediction is possible from interaction behaviour with keyboard and mouse.
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| Keywords
keyboard
mouse
interaction
mood measure
computer users
programming
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Corresponding Author(s):
Iftikhar Ahmed KHAN
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Issue Date: 01 December 2013
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