Julia Seebode
ABSTRACT
Aim of this research is to investigate the influence of system feedback in different modalities like nonverbal auditory information as well as speech, tactile and graphical feedback on perceived quality. As a first step experiments are conducted for different kinds of unimodal feedback to establish a suitable experimental paradigm. Based on these experiments certain feedback messages are selected and implemented in a multimodal mobile prototype to study the influence of those feedback messages on the interaction and the perceived quality. The developed approach will serve as a generic experimental set-up to collect user ratings and interaction data. These measures can than be used to evaluate the quality and usability of multimodal systems in mobile contexts and for quality prediction.
- Oviatt, S., Coulston, R. and Lunsford, R. 2004. When do we interact multimodally?: cognitive load and multimodal communication patterns. In Proceedings of the 6th international conference on Multimodal interfaces, State College, PA, USA ACM, 129--136. Google Scholar
Digital Library
- Wickens, C.D. and Mccarley, J.S. 2008. Applied attention theory. Taylor & Francis.Google Scholar
- Naumann, A.B., Wechsung, I. and Möller, S. 2008. Factors Influencing Modality Choice in Multimodal Applications In Proceedings of the Perception in Multimodal Dialogue Systems Springer Berlin / Heidelberg, 37 -- 43. Google ScholarDigital Library
- Naumann, A.B. and Wechsung, I. 2008. Developing Usability Methods for Multimodal Systems: The Use of Subjective and Objective Measures. In International Workshop on Meaningful Measures: Valid Useful User Experience Measurement (VUUM), Toulouse, France, 8 -- 12.Google Scholar
- Sundaram, S., Schleicher, R. and Seebode, J. 2010. Clustering Audio Clips by Context-Free Description and Affective Ratings.Google Scholar
Index Terms
- Influence of feedback on the quality of multimodal systems
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