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Conference: Learn, teach and play in 3D virtual worldsCity University London, 18/03/09presentation by Jim AngCentre for HCI DesignCity University London
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Learn, Teach and Play in 3D Virtual Worlds
Organised by:Jim Ang, City University London
Panayiotis Zapihris, City University LondonDavid White, Oxford University
Steven Warburton, King’s CollegePalitha Edirisingha, University of Leicester
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Academic importance of virtual worlds
Harvard University Law school (Nesson, Nesson, Koo 2006) Academic events
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Academic importance of virtual worlds
Education in virtual worlds (Livingstone and Kemp 2006) Virtual museum (Cochrane, 2006) Sexuality (Bardzell and Bardzell 2006) Autism and social virtual world (Lester 2007) E-commerce in virtual world (Olivera, Shen, Georganas 2000)
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Usability methodologies for games
Observation, interview, virtual ethnography, thematic analysis Contribution:
o Models of play activity o A methodological framework for game playability evaluation (Ang,
C.S., Zaphiris, P., Wilson, S.)
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Game-based learning design guidelines
Affinity diagram Focus group Heuristic evaluation Contributions:
o A matrix of usability: interface, play, rules, narratives, social aspects and learnability.o A set of guidelines (Ang, Avni, Zaphiris, 2007)
Inclusive design of games
Equipment grants from Inclusive Digital Economy Cluster of EPSRC
Social and health benefits of games among older people Different perceptions and interaction styles Call for inclusive design
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Cognitive load issues in MMORPG
Participant observation Results supported by eye tracking Contributions
o cognitive load model (Ang, Zaphiris, Mahmood, 2007 )
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Eye tracking and social network sites
JISC Emerge grants Social network site and Second Life for learning Usability of the systems Contributions:
o The relationship between eye gaze patterns and cognitive load issues
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Social Network Analysis (SNA)
Games and Social Network Combination of conventional HCI (observation, content analysis) and SNA techniques Block model: social role blocking P* model: statistical modelling for social network data Outputs:
o characteristics of social network for gameso network patterns for social roles