Exploring the Impact of Elaborateness and Indirectness on User Satisfaction in a Spoken Dialogue System

Miehle, Juliana; Minker, Wolfgang; Ultes, Stefan

doi:10.1145/3213586.3226213

Cited by 9 publications

(8 citation statements)

References 11 publications

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“…Additionally, past research offers some evidence that interaction design elements are determinants of functional elements. Prior researchers have found significant evidence when looking at the variable mode (15 OBS, Miehle et al, 2018). Concerning degree of freedom (9 OBS, Mu & Sarkar, 2019), for example, Akahori et al (2019) were able to show that the main effects of the number of agents had a significant influence on understandability.…”

Section: Independent Variables On Functional Elementsmentioning

confidence: 93%

“…Prominently studied variables in this category were the likeability of the IA (e.g., Chin & Yi, 2019;Miehle et al, 2018), the degree of involvement or engagement experienced by users (e.g., Van Es et al, 2002;Vugt et al, 2008), and the perceived closeness (Bickmore & Picard, 2005;SeoYoung Lee & Choi, 2017). Additionally, a major outcome category was reflected by user trust.…”

Section: Relational Element (Rapport and Trust)mentioning

confidence: 99%

“…Additionally, our findings indicated some evidence regarding the influence of interaction design elements as determinants of rapport between the user and IA. Researchers studied two variables, mode (9 OBS, e.g., Miehle et al, 2018) and degree of freedom (1 OBS, Jeong et al, 2019). The influence of mode was found to be significant.…”

Section: Independent Variables On Relational Elementsmentioning

confidence: 99%

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Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future

et al. 2022

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Intelligent agents (IAs) are permeating both business and society. However, interacting with IAs poses challenges moving beyond technological limitations towards the human-computer interface. Thus, the knowledgebase related to interaction with IAs has grown exponentially but remains segregated and impedes the advancement of the field. Therefore, we conduct a systematic literature review to integrate empirical knowledge on user interaction with IAs. This is the first paper to examine 107 Information Systems and Human-Computer Interaction papers and identified 389 relationships between design elements and user acceptance of IAs. Along the independent and dependent variables of these relationships, we span a research space model encompassing empirical research on designing for IA user acceptance. Further we contribute to theory, by presenting a research agenda along the dimensions of the research space, which shall be useful to both researchers and practitioners. This complements the past and present knowledge on designing for IA user acceptance with potential pathways into the future of IAs.

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Section: Independent Variables On Functional Elementsmentioning

confidence: 93%

Section: Relational Element (Rapport and Trust)mentioning

confidence: 99%

Section: Independent Variables On Relational Elementsmentioning

confidence: 99%

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Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future

et al. 2022

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“…Although the indirect response does not mention the weather directly, it can be inferred from the given information. Miehle et al [15] investigated the issue of how various communication styles of a spoken user interface are perceived by users. They found that the system's level of elaborateness and indirectness influenced the user's satisfaction and perception of the dialogue, and that there was no general preference for the system's communication style.…”

Section: B Adaptive Communication Stylesmentioning

confidence: 99%

“…According to Pragst et al [13], the elaborateness and indirectness of content can influence users' perceptions of the information provided. Miehle et al [14], [15] demonstrated that the elaborateness and indirectness of content influence user satisfaction in a spoken dialogue system. Therefore, to enhance the effectiveness of behavior change, the effects of different communication styles for interpretations on behavior change need to be investigated.…”

Section: Introductionmentioning

confidence: 99%

Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System

et al. 2021

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Numerous technologies exist for promoting a healthier lifestyle. These technologies collectively referred to as "Behavior Change Support Systems". However, the majority of existing apps use quantitative data representation. Since it is difficult to understand the meaning behind quantitative data, this approach has been suggested to lower users' motivation and fail to promote behavior change. Therefore, an interpretation of quantitative data needs to be provided as a supplement. However, different descriptions of the same data may lead to different outcomes. In this paper, we explore the impact of different communication styles for interpretations of quantitative data on behavior change by developing and evaluating Walkeeper -a webbased app that provides interpretations of the users' daily step counts using different levels of elaborateness and indirectness with the aim of promoting walking. Through the quantitative analysis and results of a user study, we contribute new knowledge on designing such interpretations for quantitative data.INDEX TERMS behavior change, communication styles, physical activity.

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Towards Modelling Elaborateness in Argumentative Dialogue Systems

Aicher

Fuchs

Minker

et al. 2023

Lecture Notes in Computer Science

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Exploring the Impact of Elaborateness and Indirectness on User Satisfaction in a Spoken Dialogue System

Cited by 9 publications

References 11 publications

Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future

Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future

Exploring the Impacts of Elaborateness and Indirectness in a Behavior Change Support System

Towards Modelling Elaborateness in Argumentative Dialogue Systems

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