Download An Evaluation Framework for Multimodal Interaction: by Ina Wechsung PDF

By Ina Wechsung

This booklet provides (1) an exhaustive and empirically confirmed taxonomy of caliber points of multimodal interplay in addition to respective dimension equipment, (2) a demonstrated questionnaire in particular adapted to the assessment of multimodal structures and overlaying lots of the taxonomy‘s caliber points, (3) insights on how the standard perceptions of multimodal structures relate to the standard perceptions of its person parts, (4) a suite of empirically established elements which impact modality selection, and (5) types concerning the dating of the perceived caliber of a modality and the particular utilization of a modality.

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Extra resources for An Evaluation Framework for Multimodal Interaction: Determining Quality Aspects and Modality Choice

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Though, they may provide an estimation of the user’s perceptions. Although there is a wide range of methods available for assessing a system’s ease of use, few of them are so far particularly tailored to multimodal systems. Using established questionnaires like the SUMI (Kirakowski & Corbett, 1996) and the QUIS (Sheiderman, 1998) might be problematic as they were developed for unimodal graphical user interfaces like websites. However, the scale measuring Pragmatic Qualities of the AttrakDiff may provide meaningful results (cf.

Dialogue Management. The dialogue management decides on the next steps or actions to be taken, in order to maintain the dialogue coherence to lead the dialogue to the intended goal (Gibbon, Moore, & Winski, 1998; Lopez Cozar, & Araki, 2005; Herzog & Reithinger, 2006).  Fission. The fission operation selects the modalities presenting the output and their coordination (Lopez Cozar, & Araki, 2005; Herzog & Reithinger, 2006).  Modality Specific Response Generation. After fission, modality specific responses are generated; here the abstract output information is transformed into media objects, understandable to the user (Lopez Cozar, & Araki, 2005; Herzog & Reithinger, 2006).

3 Quality Aspects As mentioned before, to assess a system’s quality the metrics presented above are not sufficient. The following section describes relevant aspects users might experience during the interaction and proposes assessment methods for each of them. As experience is inherently subjective, this can only be done by obtaining the data directly from the user. Thus, all aspects explained in the following section are measured directly and thus involve a user to judge the interaction (Fig. 4).

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