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AffectCam: arousal-augmented sensecam for richer recall of episodic memories
Lancaster University.
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2013 (English)In: CHI2013 Changing perspectives: extended abstracts : the 31st Annual CHI Conference on Human Factors in Computing Systems, 2013, 1041-1046 p.Conference paper, Published paper (Refereed)
Abstract [en]

This paper describes the design and evaluation of AffectCam, a wearable system integrating SenseCam and BodyMedia SenseWear for capturing galvanic skin response as a measure of bodily arousal. AffectCam's algorithms use arousal as a filtering mechanism for selecting the most personally relevant photos captured during people's ordinary daily life, i.e. high arousal photos. We discuss initial findings showing that emotional arousal does improve the quality of memory recall associated with emotionally arousing events. In particular, the high arousal photos support richer recall of episodic memories than low arousal ones, i.e. over 50% improvement. We also consider how various phenomenological characteristics of autobiographical memories such as event, emotions, thoughts, place and time are differently cued by the AffectCam.

Place, publisher, year, edition, pages
2013. 1041-1046 p.
Keyword [en]
Episodic memories, emotions, cued recall, memory characteristics, SenseCam, arousal, galvanic skin response
National Category
Engineering and Technology
Research subject
SRA - ICT
Identifiers
URN: urn:nbn:se:kth:diva-134860DOI: 10.1145/2468356.2468542ISBN: 978-1-4503-1952-2 (print)OAI: oai:DiVA.org:kth-134860DiVA: diva2:668464
Conference
CHI 2013 Changing Perspectives; Paris, France, 27 April - 2 May, 2013
Note

QC 20140624

Available from: 2013-11-30 Created: 2013-11-30 Last updated: 2015-01-20Bibliographically approved

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Höök, Kristina

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CiteExportLink to record
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Citation style
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf