A Reputation Mechanism for Virtual Reality - Five-Sense Oriented Feedback Provision and Subjectivity Alignment

In this paper, we propose a reputation mechanism for virtual marketplaces. The proposed approach is based on five-sense oriented feedback provision with the support of existing virtual reality technologies. We have conducted user studies to analyse users' attitude towards this new approach. These studies reveal that users prefer virtual marketplaces with our proposed reputation mechanism over that with traditional reputation mechanisms, and that our mechanism can effectively ensure user's trust in the virtual marketplaces and simultaneously promote user's trust in other users. Our approach is based on feedback from other users. Feedback from users could be very subjective and misleading for other users. Hence, we propose a novel mechanism to align subjective user feedback before reputation computations in virtual marketplaces. Results of our experiment demonstrate that with our feedback alignment approach, buyers can more accurately model sellers' reputation.

[1]  J. Bezdek,et al.  Fuzzy partitions and relations; an axiomatic basis for clustering , 1978 .

[2]  Shun-Yun Hu,et al.  Scalable reputation management with trustworthy user selection for P2P MMOGs , 2008, Int. J. Adv. Media Commun..

[3]  Hiroo Iwata,et al.  Food simulator: a haptic interface for biting , 2004, IEEE Virtual Reality 2004.

[4]  Audun Jøsang,et al.  A survey of trust and reputation systems for online service provision , 2007, Decis. Support Syst..

[5]  Thomas Erickson,et al.  Designing visualizations of social activity: six claims , 2003, CHI Extended Abstracts.

[6]  Munindar P. Singh,et al.  Detecting deception in reputation management , 2003, AAMAS '03.

[7]  Norman L. Chervany,et al.  What Trust Means in E-Commerce Customer Relationships: An Interdisciplinary Conceptual Typology , 2001, Int. J. Electron. Commer..

[8]  Amir Herzberg,et al.  VRCommerce — electronic commerce in virtual reality , 1999, EC '99.

[9]  E. Cyril,et al.  The Role of Presence and Para Social Presence on Trust in Online Virtual Electronic Commerce , 2008 .

[10]  Panagiota Papadopoulou,et al.  Applying virtual reality for trust-building e-commerce environments , 2007, Virtual Reality.

[11]  Donna L. Hoffman,et al.  Building consumer trust online , 1999, CACM.

[12]  Alan Chalmers,et al.  Virtual smell: authentic smell diffusion in virtual environments , 2010, AFRIGRAPH '10.

[13]  Dinesh K. Pai,et al.  Scanning physical interaction behavior of 3D objects , 2001, SIGGRAPH.

[14]  Nasser Nassiri.  Increasing trust through the use of 3d e-commerce environment , 2008, SAC '08.

[15]  Rachel Greenstadt,et al.  Using machine learning to augment collaborative filtering of community discussions , 2010, AAMAS.

[16]  Carles Sierra,et al.  Narrowing the Gap Between Humans and Agents in e-Commerce: 3D Electronic Institutions , 2005, EC-Web.

[17]  Eui-Ho Song,et al.  Similarity Computation of Fuzzy Membership Function Pairs with Similarity Measure , 2007, ICIC.

[18]  Pascal Poupart,et al.  Bayesian Reputation Modeling in E-Marketplaces Sensitive to Subjectivity, Deception and Change , 2006, AAAI.

[19]  M. Di Luca,et al.  Effects of visual–haptic asynchronies and loading–unloading movements on compliance perception , 2011, Brain Research Bulletin.

[20]  Shun-Yun Hu,et al.  Scalable Reputation Management for P 2 P MMOGs , 2008 .

[21]  Erik Millán,et al.  Impostors, Pseudo-instancing and Image Maps for GPU Crowd Rendering , 2007, Int. J. Virtual Real..

[22]  Jie Zhang,et al.  POYRAZ: CONTEXT‐AWARE SERVICE SELECTION UNDER DECEPTION , 2009, Comput. Intell..

[23]  Massimo Bergamasco,et al.  From Physics-based Simulation to the Touching of Textiles: The HAPTEX Project , 2007, Int. J. Virtual Real..

[24]  Jordi Sabater-Mir,et al.  Inductively generated trust alignments based on shared interactions , 2010, AAMAS.