By Ina Wechsung
This ebook offers (1) an exhaustive and empirically established taxonomy of caliber points of multimodal interplay in addition to respective size tools, (2) a verified questionnaire particularly adapted to the evaluate of multimodal platforms and overlaying many 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 proven components which impact modality selection, and (5) types in regards to the courting of the perceived caliber of a modality and the particular utilization of a modality.
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Additional resources for An Evaluation Framework for Multimodal Interaction: Determining Quality Aspects and Modality Choice
2009). It can be determined based on the modality properties by (Bernsen, 2008). Kühnel (2012) identifies three different possible values of input modality appropriateness. ” Additionally, Kühnel proposes the parameter unsupported modality usage (UMU). It is defined as: “how often users tried to interact multimodally in a way not supported by the system“ Assessing these parameters can be done via turn-wise annotation. Interpretation performance. The interpretation performance is the performance of the system to extract the semantics, the meaning, from the user input.
3 Quality Aspects 41 Another well validated and widely used instrument is the Self-Assessment Manikin (Bradley & Lang, 1994), which measures the arousal, pleasure and dominance linked to affective reactions on three non-verbal scales. If the aim is to measure specific emotions LemTool (Huisman & Van Hout, 2008) or PrEmo (Desmet, 2004) may be used. However, both tools are so far only validated for specific application areas: Lemtool for websites and PrEmo for non-interactive products (Huisman & Van Hout, 2008; Desmet, 2004).
Sauro and Kindlund (2005) reported similar results: They found negative correlations between satisfaction (direct measurement) and time, errors (indirect measurement) and a positive correlation between satisfaction (direct measurement) and completion (indirect measurement). However, several studies reported opposing findings: Möller (2006) could not find a correlation between task duration and user judgments when evaluating speech dialogue systems. Also Frøkjær et al. (Frøkjær, Hertzum, & Hornbæk, 2000) did not observe a direct relationship between user ratings and indirect efficiency measures, such as task duration.