Quality of Experience and Interactivity

This chapter discusses the relation between interactivity and QoE. In this context, a definition of interactivity comprising human-to-human interaction as well as human-to-machine interaction is presented, and a description of a possible instrumentation is given. In terms of quality formation, a mediation layer between quality influence factors and perceived quality features is introduced that allows the inclusion of interactivity-related perception in the quality formation process. A discussion of commonalities and differences between interaction with a system and interaction with one or several other persons via a system identifies the open challenges for reliable and successful measurement of interactivity related aspects and the identification of relationships between these interaction measures and QoE.

[1]  Alexander Raake,et al.  Investigating the Effect of Number of Interlocutors on the Quality of Experience for Multi-Party Audio Conferencing , 2011, INTERSPEECH.

[2]  Alexander Raake,et al.  Predicting speech quality based on interactivity and delay , 2013, INTERSPEECH.

[3]  Raimund Schatz,et al.  It takes two to tango - assessing the impact of delay on conversational interactivity on perceived speech quality , 2010, INTERSPEECH.

[4]  Nobuhiko Kitawaki,et al.  Pure Delay Effects on Speech Quality in Telecommunications , 1991, IEEE J. Sel. Areas Commun..

[5]  Sebastian Möller,et al.  Assessment and Prediction of Speech Quality in Telecommunications , 2000 .

[6]  Sally J. McMillan.  Exploring Models of Interactivity from Multiple Research Traditions: Users, Documents, and Systems , 2002 .

[7]  Markus Fiedler,et al.  Waiting times in quality of experience for web based services , 2012, 2012 Fourth International Workshop on Quality of Multimedia Experience.

[8]  Takanori Hayashi,et al.  Analysis of psychological factors for quality assessment of interactive multimodal service , 2005, IS&T/SPIE Electronic Imaging.

[9]  Sebastian Möller,et al.  Chapter 14 – Evaluation of Multimodal Interfaces for Ambient Intelligence , 2010, AmI 2010.

[10]  Ute Jekosch,et al.  Voice and Speech Quality Perception: Assessment and Evaluation , 2005 .

[11]  Alexander Raake,et al.  The well-tempered conversation: interactivity, delay and perceptual VoIP quality , 2005, IEEE International Conference on Communications, 2005. ICC 2005. 2005.

[12]  Sebastian Möller,et al.  A new dimension-based framework model for the quality of speech communication services , 2011, 2011 Third International Workshop on Quality of Multimedia Experience.

[13]  Peter Reichl,et al.  “Time is bandwidth”? Narrowing the gap between subjective time perception and Quality of Experience , 2012, 2012 IEEE International Conference on Communications (ICC).

[14]  Alexander Raake,et al.  Conversation Analysis of Multi-Party Conferencing and Its Relation to Perceived Quality , 2011, 2011 IEEE International Conference on Communications (ICC).

[15]  Gernot Kubin,et al.  Same but different? — Using speech signal features for comparing conversational VoIP quality studies , 2012, 2012 IEEE International Conference on Communications (ICC).

[16]  Alexander Raake,et al.  On interaction behaviour in telephone conversations under transmission delay , 2014, Speech Commun..

[17]  Paul T. Brady,et al.  A statistical analysis of on-off patterns in 16 conversations , 1968 .

[18]  Jennifer Stromer-Galley,et al.  Interactivity-as-Product and Interactivity-as-Process , 2004, Inf. Soc..

[19]  Alexander Raake,et al.  Speech Quality of VoIP - Assessment and Prediction , 2006 .

[20]  Markus Fiedler.  Euro-NGI D.JRA.6.1.1 : State-of-the-art with regards to user-perceived Quality of Service and quality feedback , 2004 .

[21]  Florian Hammer,et al.  Measuring Non-Spontaneous Interactivity: An Opera-related Case Study , 2005 .

[22]  Klaus-Peter Engelbrecht,et al.  A taxonomy of quality of service and Quality of Experience of multimodal human-machine interaction , 2009, 2009 International Workshop on Quality of Multimedia Experience.