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  • CHI-extended-abstracts AffectCam 9

    Rights statement: © ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '13 Extended Abstracts on Human Factors in Computing Systems 2013 https://dl.acm.org/citation.cfm?doid=2468356.2468542

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AffectCam: arousal- augmented sensecam for richer recall of episodic memories

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

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AffectCam: arousal- augmented sensecam for richer recall of episodic memories. / Sas, Corina; Fratczak, Thomasz; Rees, Matthew et al.
CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13). New York: ACM, 2013. p. 1041-1046.

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Sas, C, Fratczak, T, Rees, M, Gellersen, H, Kalnikaitė, V, Coman, A & Höök, K 2013, AffectCam: arousal- augmented sensecam for richer recall of episodic memories. in CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13). ACM, New York, pp. 1041-1046, ACM SIGCHI Conference on Human Factors in Computing Systems, Paris, France, 27/04/13. https://doi.org/10.1145/2468356.2468542

APA

Sas, C., Fratczak, T., Rees, M., Gellersen, H., Kalnikaitė, V., Coman, A., & Höök, K. (2013). AffectCam: arousal- augmented sensecam for richer recall of episodic memories. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13) (pp. 1041-1046). ACM. https://doi.org/10.1145/2468356.2468542

Vancouver

Sas C, Fratczak T, Rees M, Gellersen H, Kalnikaitė V, Coman A et al. AffectCam: arousal- augmented sensecam for richer recall of episodic memories. In CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13). New York: ACM. 2013. p. 1041-1046 doi: 10.1145/2468356.2468542

Author

Sas, Corina ; Fratczak, Thomasz ; Rees, Matthew et al. / AffectCam : arousal- augmented sensecam for richer recall of episodic memories. CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13). New York : ACM, 2013. pp. 1041-1046

Bibtex

@inproceedings{6dc08a1fd8344da18254c3935fa732c1,
title = "AffectCam: arousal- augmented sensecam for richer recall of episodic memories",
abstract = "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{\textquoteright}s algorithms use arousal as a filtering mechanism for selecting the most personally relevant photos captured during people{\textquoteright}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 memory characteristics such as event itself together with emotions and thoughts at the time of encoding, as well as its spatio-temporal context are differently cued by the AffectCam.",
author = "Corina Sas and Thomasz Fratczak and Matthew Rees and Hans Gellersen and Vaiva Kalnikaitė and Alina Coman and Kristina H{\"o}{\"o}k",
note = "{\textcopyright} ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '13 Extended Abstracts on Human Factors in Computing Systems 2013 https://dl.acm.org/citation.cfm?doid=2468356.2468542; ACM SIGCHI Conference on Human Factors in Computing Systems, CHI EA '13 ; Conference date: 27-04-2013 Through 02-05-2013",
year = "2013",
doi = "10.1145/2468356.2468542",
language = "English",
isbn = "9781450319522",
pages = "1041--1046",
booktitle = "CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13)",
publisher = "ACM",

}

RIS

TY - GEN

T1 - AffectCam

T2 - ACM SIGCHI Conference on Human Factors in Computing Systems

AU - Sas, Corina

AU - Fratczak, Thomasz

AU - Rees, Matthew

AU - Gellersen, Hans

AU - Kalnikaitė, Vaiva

AU - Coman, Alina

AU - Höök, Kristina

N1 - © ACM, 2013. This is the author's version of the work. It is posted here by permission of ACM for your personal use. Not for redistribution. The definitive version was published in CHI '13 Extended Abstracts on Human Factors in Computing Systems 2013 https://dl.acm.org/citation.cfm?doid=2468356.2468542

PY - 2013

Y1 - 2013

N2 - 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 memory characteristics such as event itself together with emotions and thoughts at the time of encoding, as well as its spatio-temporal context are differently cued by the AffectCam.

AB - 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 memory characteristics such as event itself together with emotions and thoughts at the time of encoding, as well as its spatio-temporal context are differently cued by the AffectCam.

U2 - 10.1145/2468356.2468542

DO - 10.1145/2468356.2468542

M3 - Conference contribution/Paper

SN - 9781450319522

SP - 1041

EP - 1046

BT - CHI '13 Extended Abstracts on Human Factors in Computing Systems (CHI EA '13)

PB - ACM

CY - New York

Y2 - 27 April 2013 through 2 May 2013

ER -