Determining the Psychological Involvement in Multimedia Interactions

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Fältnamn	Indikatorer	Metadata
000		03399naa a2200481 4500
001		oai:DiVA.org:su-122475
003		SwePub
008		151103s2009 \| \|\|\|\|\|\|\|\|\|\|\|000 \|\|eng\|
024	7	a https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-1224752 URI
024	7	a https://doi.org/10.4038/icter.v2i1.14002 DOI
040		a (SwePub)su
041		a engb eng
042		9 SwePub
072	7	a ref2 swepub-contenttype
072	7	a art2 swepub-publicationtype
100	1	a Ekanayake, Hiran B.,d 1978-u University of Colombo School of Computing, Sri Lanka4 aut0 (Swepub:su)hiek7920
245	1 0	a Determining the Psychological Involvement in Multimedia Interactions
264		c 2009-12-09
264	1	b Sri Lanka Journals Online (JOL),c 2009
338		a print2 rdacarrier
520		a Human computer interaction (HCI) is currently aimed at the design of interactive computer applications for human use while preventing user frustration. When considering the nature of modern computer applications, such as e-learning systems and computer games, it appears that human involvement cannot be improved only by using traditional approaches, such as nice user interfaces. For a pleasant human involvement, these computer applications require that the computers should have the ability to naturally adapt to their users and this requires the computers to have the ability to recognize user emotions. For recognizing emotions currently most preferred research approach is aimed at facial expression based emotion recognition, which seems to have many limitations. Therefore, in this paper, we propose a method to determine the psychological involvement of a human during a multimedia interaction session using the eye movement activity and arousal evaluation. In our approach we use a low cost hardware/software combination, which determines eye movement activity based on electrooculogram (EOG) signals and the level of arousal using galvanic skin response (GSR) signals. The results obtained using six individuals show that the nature of involvement can be recognized using these affect signals as optimal levels and distracted conditions.
650	7	a NATURVETENSKAPx Data- och informationsvetenskapx Datavetenskap0 (SwePub)102012 hsv//swe
650	7	a NATURAL SCIENCESx Computer and Information Sciencesx Computer Sciences0 (SwePub)102012 hsv//eng
653		a Arousal
653		a Attention
653		a Cognition
653		a Emotion
653		a EOG
653		a Eye Movement Activity
653		a GSR
653		a HCI
653		a Human Involvement
653		a Multimedia Interactions
653		a Computer and Systems Sciences
653		a data- och systemvetenskap
700	1	a Karunarathna, Damitha D.u University of Colombo School of Computing, Sri Lanka4 aut
700	1	a Hewagamage, Kamalanath P.u University of Colombo School of Computing, Sri Lanka4 aut
710	2	a University of Colombo School of Computing, Sri Lanka4 org
773	0	t The International Journal on Advances in ICT for Emerging Regionsd : Sri Lanka Journals Online (JOL)g 2:1q 2:1x 1800-4156
856	4	u https://doi.org/10.4038/icter.v2i1.1400y Fulltext
856	4	u http://icter.sljol.info/articles/10.4038/icter.v2i1.1400/galley/1248/download/
856	4 8	u https://urn.kb.se/resolve?urn=urn:nbn:se:su:diva-122475
856	4 8	u https://doi.org/10.4038/icter.v2i1.1400

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