Quality of experience in distributed interactive multimedia environments

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Quality of experience in distributed interactive multimedia environments: toward a theoretical framework

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International Multimedia Conference archive
Proceedings of the seventeen ACM international conference on Multimedia table of contents

Beijing, China

SESSION: HCM track H1: human-centered multimedia table of contents

Pages 481-490

Year of Publication: 2009

ISBN:978-1-60558-608-3

Authors

Wanmin Wu	University of Illinois at Urbana-Champaign, Urbana, IL, USA
Ahsan Arefin	University of Illinois at Urbana-Champaign, Urbana, IL, USA
Raoul Rivas	University of Illinois at Urbana-Champaign, Urbana, IL, USA
Klara Nahrstedt	University of Illinois at Urbana-Champaign, Urbana, IL, USA
Renata Sheppard	University of Illinois at Urbana-Champaign, Urbana, IL, USA
Zhenyu Yang	Florida International University, Miami, FL, USA

Sponsor

SIGMULTIMEDIA: ACM Special Interest Group on Multimedia

Publisher

ACM New York, NY, USA

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ABSTRACT

The past decades have witnessed a rapid growth of Distributed Interactive Multimedia Environments (DIMEs). Despite their intensity of user-involved interaction, the existing evaluation frameworks remain very much system-centric. As a step toward the human-centric paradigm, we present a conceptual framework of Quality of Experience (QoE) in DIMEs, to model, measure, and understand user experience and its relationship with the traditional Quality of Service (QoS) metrics. A multi-displinary approach is taken to build up the framework based on the theoretical results from various fields including psychology, cognitive sciences, sociology, and information technology. We introduce a mapping methodology to quantify the correlations between QoS and QoE, and describe our controlled and uncontrolled studies as illustrating examples. The results present the first deep study to model the multi-facet QoE construct, map the QoS-QoE relationship, and capture the human-centric quality modalities in the context of DIMEs.

REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

	1	Subjective audiovisual quality assessment methods for multimedia applications, 1998. ITU-T Rec. P.911.
	2	Quality of experience: A strategic competitive advantage of microsoft unified communications. In Whitepapers, Microsoft Inc., 2007.
	3	I. Ajzen. The theory of planned behavior. Organizational behavior and human decision process, 50(2):179--211, 1991.
	4	J. N. Bailenson et al. The effect of interactivity on learning physical actions in virtual reality. Media Psychology, 11:354--376, 2008.
	5	H. H. Baker et al. Understanding performance in coliseum, an immersive videoconferencing system. ACM TOMCCAP, 1(2):190--210, 2005.
	6	R. Beauregard et al. User experience quality: A conceptual framework. In LNCS'07, 2007.
	7	A. Bharambe et al. Colyseus: a distributed architecture for online multiplayer games. In Proc. of NSDI'06, pages 155--168, 2006.
	8	Blizzard Entertainment, Inc. http://bit.ly/8w7ul. Accessed June 2009.
	9	M. Chen. Design of a virtual auditorium. In Proc. of ACM MM'01, pages 19--28, 2001.
	10	Cisco TelePresence. http://cisco.com/telepresence/.
	11	E. Cronin et al. An efficient synchronization mechanism for mirrored game architectures. In Proc. of NetGames'02, pages 67--73, 2002.
	12	M. Csikszentmihalyi. Flow: The Psychology of Optimal Experience. Harper and Row, 1990.
	13	M. Csikszentmihalyi. Finding Flow: The Psychology of Optimal Experience. Basic Books, 1997.
	14	R. Cutler et al. Distributed meetings: a meeting capture and broadcasting system. In Proc. of ACM MM'02, pages 503--512, 2002.
	15	F. D. Davis. Perceived usefulness, ease of use, and usage of information technology: a replication. MIS Quarterly, 13(3):319--340, 1989.
	16	F. D. Davis et al. User acceptance of computer technology: A comparison of two theoretical models. Management Science, 35(8):982--1003, 1989.
	17	M. Fishbein et al. Belief, Attitude, Intention, and Behavior: An Introduction to Theory and Research. Addison-Wesley, 1975.
	18	S. R. Fussell et al. Effects of head-mounted and scene-oriented video systems on remote collaboration on physical tasks. In Proc. of ACM CHI'03, pages 513--520, 2003.
	19	L. Gautier et al. Design and evaluation of MiMaze, a multi-player game on the internet. In Proc. of IEEE Multimedia Systems Conference, pages 233--236, 1998.
	20	E. D. Gelasca et al. On Evaluating Video Object Segmentation Quality: A Perceptually Driven Objective Metric. IEEE Journal of Selected Topics in Signal Processing, 3(2):319--335, 2009.
	21	J. A. Ghani et al. Task characteristics and the experience of optimal flow in human-computer interaction. The Journal of Psychology, 1994.
	22	R. Gifford. Environmental psychology. Encyclopedia of Human Behavior, 1999.
	23	D. L. Hoffman et al. Marketing in hypermedia computer-mediated environments: Conceptual foundations. The Journal of Marketing, 60(3), 1996.
	24	HP Halo. http://hp.com/halo/.
	25	C. Hsu et al. Why do people play on-line games? An extended TAM with social influences and flow experience. Information Management, 41(7):853--868, 2004.
	26	Y. Ito et al. Quantitative assessment of user-level QoS and its mappings. 2005.
	27	C. M. Jackson et al. Toward an understanding of the behavioral intention to use an information system. Decision Sciences, 28(2):357--389, 2007.
	28	A. Jaimes et al. Human-centered computing: a multimedia perspective. In Proc. of ACM MM'06, pages 855--864, 2006.
	29	R. Jain. Quality of experience. In IEEE Multimedia, volume 11, pages 95--96, 2004.
	30	N. Kelshikar et al. Real-time terascale implementation of tele-immersion. In Proc. of ICCS'03, 2003.
	31	M. Koufaris. Applying the technology acceptance model and flow theory to online consumer behavior. Information Systems Research, 13(2):205--223, 2002.
	32	G. Kurillo et al. A framework for collaborative real-time 3D teleimmersion in a geographically distributed environment. In Proc. of IEEE ISM'08, 2008.
	33	G. Kurillo et al. Immersive 3D environment for remote collaboration and training of physical activities. In Proc. of IEEE VR'08, 2008.
	34	Y.-J. Lin et al. Sync-MS: Synchronized messaging service for real-time multi-player distributed games. In Proc. of IEEE ICNP'02, pages 155--164, 2002.
	35	Medianet. http://www.cisco.com/web/solutions/medianet. Accessed March 2009.
	36	A. Mehrabian et al. An approach to environmental psychology. MIT Press, 1980.
	37	S. Moebs. A learner is a learner, is a user, is a customer - qos based, experience-aware adaptation. In Proc. of ACM MM'08, pages 259--268, 2008.
	38	F. Mueller et al. Exertion interfaces: sports over a distance for social bonding and fun. In Proc. of ACM CHI'03, pages 561--568, 2003.
	39	K. Nahrstedt et al. The QoS broker. IEEE Multimedia Magazine, 2(1):53--67, 1994.
	40	T. P. Novak et al. Measuring the customer experience in online environments: A structural modeling approach. In Marketing Science, 2000.
	41	H. Nysveen et al. Intentions to use mobile services: Antecedents and cross-service comparisons. Journal of the Academy of Marketing Science, 33(3):330--346, 205.
	42	Polycom Telepresence. http://www.polycom.com/telepresence.
	43	X. Qin. Delayed consistency model for distributed interactive systems with real-time continuous media. Journal of Software, 13(6), 2002.
	44	A. Ranjan et al. An exploratory analysis of partner action and camera control in a video-mediated collaborative task. In Proc. of ACM CSCW'06, pages 403--412, 2006.
	45	R. M. Sheppard et al. Advancing interactive collaborative mediums through tele-immersive dance (ted): a symbiotic creativity and design environment for art and computer science. In ACM MM'08, Interactive Arts Program, 2008.
	46	D. Sperber et al. Relevance: Communication and Cognition. Wiley-Blackwell; 2 edition, 1996.
	47	J. Steuer. Defining virtual reality: dimensions determining telepresence. Journal of Communication, 42:73--93, 1992.
	48	S. Tasaka et al. The effectiveness of a qoe-based video output scheme for audio-video ip transmission. In Proc. of ACM MM'08, 2008.
	49	V. Venkatesh, M. G. Morris, G. B. Davis, and F. D. Davis. User acceptance of information technology: Toward a unified view. MIS Quarterly, 27, 2003.
	50	A. Vogel et al. Distributed multimedia and QoS: A survey. Proc. of IEEE Multimedia, 2(2):10--19, 1995.
	51	WebEx. http://www.webex.com/.
	52	Wired News. http://bit.ly/dciz2. Accessed June 2009.
	53	Z. Yang, B. Yu, R. Diankov, W. Wu, and R. Bajcsy. Collaborative dancing in tele-immersive environment. In ACM MM'06, 2006.
	54	Z. Yang et al. Viewcast: View dissemination and management for multi-party 3D tele-immersive environments. In Proc. of ACM MM'07, pages 882--891, 2007.
	55	B. Yu. MyView: Customizable Automatic Visual Space Management for Multi-STream Environment. PhD thesis, University of Illinois at Urbana-Champaign, 2006.