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Influence of Motivation on Wayfinding

Srinivas, Samvith (2010) Influence of Motivation on Wayfinding. Doctoral Dissertation, University of Pittsburgh. (Unpublished)

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This research explores the role of affect in the domain of human wayfinding by asking if increased motivation will alter the performance across various routes of increasing complexity. Participants were asked to perform certain navigation tasks within an indoor Virtual Reality (VR) environment under either motivated and not-motivated instructions. After being taught to navigate along simple and complex routes, participants were tested on both the previously learned routes and new routes that could be implicitly derived from the prior spatial knowledge. Finally, participants were tested on their ability to follow schematized instructions to explore familiar and unfamiliar areas in the VR environment. Performance of the various spatial tasks across the motivated and control groups indicated that motivation improved performance in all but the most complex conditions. Results of the empirical study were used to create a theoretical model that accounts for the influence of affect on the access of route knowledge. Results of the research suggest the importance of including past knowledge and affect of the traveler as components of future wayfinding systems.


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Item Type: University of Pittsburgh ETD
Status: Unpublished
CreatorsEmailPitt UsernameORCID
ETD Committee:
TitleMemberEmail AddressPitt UsernameORCID
Committee ChairHirtle, Stephen Chirtle@pitt.eduHIRTLE
Committee MemberKlippel,
Committee MemberLewis, C Michaelml@sis.pitt.eduCMLEWIS
Committee MemberSchunn, Christianschunn@pitt.eduSCHUNN
Committee MemberBrusilovsky, Peterpeterb@pitt.eduPETERB
Date: 12 May 2010
Date Type: Completion
Defense Date: 4 April 2010
Approval Date: 12 May 2010
Submission Date: 29 April 2010
Access Restriction: No restriction; Release the ETD for access worldwide immediately.
Institution: University of Pittsburgh
Schools and Programs: School of Information Sciences > Information Science
Degree: PhD - Doctor of Philosophy
Thesis Type: Doctoral Dissertation
Refereed: Yes
Uncontrolled Keywords: adaptive systems; affect; emotion; human computer interaction; navigation; spatial cognition; virtual reality
Other ID:, etd-04292010-153305
Date Deposited: 10 Nov 2011 19:43
Last Modified: 15 Nov 2016 13:42


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