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Examining the utility of affective response in search of personal lifelogs

Kelly, Liadh and Jones, Gareth J.F. (2009) Examining the utility of affective response in search of personal lifelogs. In: 5th Workshop on Emotion in Human-Computer Interaction, held at the 23rd BCS HCI Group conference 2009, 1 September 2009, Cambridge, UK.

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Abstract

Personal lifelog archives contain digital records captured from an individual’s daily life, for example emails, documents edited, webpages downloaded and photographs taken. While capturing this information is becoming increasingly easy, subsequently locating interesting items from within these archives is a significant challenge. One potential source of information to identify items of importance to an individual is their affective state during the capture of the information. The strength of an individual’s affective response to their current situation can often be gauged from their physiological response. For this study we explored the utility of the following biometric features to indicate significant items: galvanic skin response (GSR), heart rate (HR) and skin temperature (ST). Significant or important events tend to raise an individual’s arousal level, causing a measurable biometric response. We examined the utility of using biometric response to identify significant items and for re-ranking traditional information retrieval (IR) result sets. Results obtained indicate that skin temperature is most useful for extracting interesting items from personal archives containing passively captured images, computer activity and SMS messages.

Item Type:Conference or Workshop Item (Paper)
Event Type:Workshop
Refereed:Yes
Subjects:Computer Science > Lifelog
DCU Faculties and Centres:Research Initiatives and Centres > Centre for Digital Video Processing (CDVP)
DCU Faculties and Schools > Faculty of Engineering and Computing > School of Computing
Official URL:http://www.emotion-in-hci.net/workshopHCI2009/emotionworkshop2009.html
Use License:This item is licensed under a Creative Commons Attribution-NonCommercial-Share Alike 3.0 License. View License
Funders:Science Foundation Ireland, Microsoft Research
ID Code:15914
Deposited On:30 Nov 2010 11:36 by Shane Harper. Last Modified 30 Nov 2010 11:36

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