Abstract
This paper describes initial results from an evaluation study on the use of different modalities. The application, a web-based media recommender and management system called MediaScout, was installed on two multimodal devices, and on one unimodal device as a control condition. The study aims to investigate whether users make use of multimodality if it is offered and under which circumstances they do so. Moreover, it was studied whether users’ stated modality preferences match their actual use of the modalities. The results show that users do not make use of all modalities for all tasks. Modality usage is determined by the task to be performed, as well as the efficiency of the modality for achieving the task goal. Both modality usage and the range of offered modalities seem to influence subjective user ratings.
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References
Brooke, J.: SUS: A ‘quick and dirty’ usability scale. In: Jordan, P.W., Thomas, B., Weerdmeester, B.A., McClelland, I.L. (eds.) Usability Evaluation in Industry, pp. 189–194. Taylor & Francis, London (1996)
Hassenzahl, M., Burmester, M., Koller, F.: AttrakDiff: Ein Fragebogen zur Messung wahrgenommener hedonischer und pragmatischer Qualität. In: Ziegler, J., Szwillus, G. (eds.) Mensch & Computer 2003. Interaktion in Bewegung, pp. 187–196. B.G. Teubner, Stuttgart (2003)
Hedicke, V.: Multimodalität in Mensch-Maschine-Schnittstellen. In: Timpe, K.-P., Jürgensohn, T., Kolrep, H. (eds.) Mensch-Maschine-Systemtechnik, pp. 203–230. Symposion publishing, Düsseldorf (2000)
Kallinen, K., Ravaja, N.: Effects of the Rate of Computer-Mediated Speech on Emotion-related Subjective and Physiological Responses. Behaviour & Information Technology 24, 365–373 (2005)
Kirakowski, J., Corbett, M.: SUMI: The software usability measurement inventory. British Journal of Educational Technology 24(3), 210–212 (1993)
Oviatt, S.L.: Ten myths of multimodal interaction. Communications of the ACM 42(11), 576–583 (1999)
Ren, X., Zhang, G., Dai, G.: An Experimental Study of Input Modes for Multimodal Human-Computer Interaction. In: Tan, T., Shi, Y., Gao, W. (eds.) ICMI 2000. LNCS, vol. 1948, pp. 49–56. Springer, Heidelberg (2000)
Schomaker, L., Nijtmans, J., Camurri, A., Lavagetto, F., Morasso, P., Benoît, C., Guiard-Marigny, T., Le Goff, B., Robert-Ribes, J., Adjoudani, A., Defée, I., Münch, S., Hartung, K., Blauert, J.A.: Taxonomy of Multimodal Interaction in the Human Information Processing System. A Report of the ESPRIT Project 8579 MIAMI. NICI, Nijmegen (1995)
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Naumann, A.B., Wechsung, I., Möller, S. (2008). Factors Influencing Modality Choice in Multimodal Applications. In: André, E., Dybkjær, L., Minker, W., Neumann, H., Pieraccini, R., Weber, M. (eds) Perception in Multimodal Dialogue Systems. PIT 2008. Lecture Notes in Computer Science(), vol 5078. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-69369-7_5
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DOI: https://doi.org/10.1007/978-3-540-69369-7_5
Publisher Name: Springer, Berlin, Heidelberg
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