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

Elshan, Edona; Zierau, Naim; Engel, Christian; Janson, Andreas; Leimeister, J. M.

doi:10.1007/s10796-021-10230-9

Cited by 35 publications

(14 citation statements)

References 129 publications

(172 reference statements)

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“…In the following, we will summarize key findings of articles. Elshan et al (2022) conduct a study entitled "Understanding the Design Elements Affecting User Acceptance of Intelligent Agents: Past, Present and Future " and present a systematic literature review of intelligent agents by studying the design elements affecting user acceptance. Intelligent agents are described as agents that perceive and respond in a timely manner and are capable of interacting with other agents (i.e., humans) and react to their environment.…”

Section: The Special Issuementioning

confidence: 99%

Designing and Managing Human-AI Interactions

et al. 2022

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Section: The Special Issuementioning

confidence: 99%

Designing and Managing Human-AI Interactions

et al. 2022

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“…To identify a wide range of literature on CAs, the search string is chosen to be rather broad. Based on recent literature reviews (e.g., [6,7]), we identified different keywords researchers used to describe CAs. This resulted in the following search string: "conversational agent" OR "chatbot" OR "chat bot" OR "interactive agent" OR "talkbot"…”

Section: Paper Selection Processmentioning

confidence: 99%

“…However, the scientific literature is dispersed into different thematic axes and research areas [6,7]. Furthermore, the scientific and practical knowledge about CAs has also grown in a dispersed manner, given a shortage of integrative perspectives to support CA development and design processes [8,9].…”

Section: Introductionmentioning

confidence: 99%

Assessing the Reusability of Design Principles in the Realm of Conversational Agents

Elshan

Engel²,

Ebel³

et al. 2022

The Transdisciplinary Reach of Design Science Research

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Conversational Agents (CAs) provide the means to foster user experience design through seizing their interaction capability, knowledgeability, and human-like behavior. To support practice and academia in designing CAs, IS researchers have been creating design knowledge in the form of design principles (DPs) guided by the Design Science paradigm. However, scientific literature in this vein is dispersed and lacks an axis of cohesion and transferability to sustained practice usage. This raises the question of reusability of design principles in the realm of CAs. Therefore, in this study, we conduct a Systematic Literature Review to retrieve and assess design principles of existing design science papers dealing with CAs with regard to their reusability. Our findings indicate that the Design Science community, in our case in the domain of CAs, seems to face challenges in creating reusable design principles. We discuss this observation and provide avenues on how to move forward

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“…On the other hand, Ranjbartabar et al 15 reported in a study of virtual therapists presented on a computer screen that empathic virtual therapists might not necessarily deliver better emotional outcomes than neutral therapists. Overall, reviews of the use of virtual humans have highlighted the potential benefits of realisation of emotional behaviours in facilitating participant engagement 7 , 16 .…”

Section: Introductionmentioning

confidence: 99%

A randomised controlled test of emotional attributes of a virtual coach within a virtual reality (VR) mental health treatment

Wei

Freeman

Rovira

2023

Sci Rep

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We set out to test whether positive non-verbal behaviours of a virtual coach can enhance people's engagement in automated virtual reality therapy. 120 individuals scoring highly for fear of heights participated. In a two-by-two factor, between-groups, randomised design, participants met a virtual coach that varied in warmth of facial expression (with/without) and affirmative nods (with/without). The virtual coach provided a consultation about treating fear of heights. Participants rated the therapeutic alliance, treatment credibility, and treatment expectancy. Both warm facial expressions (group difference = 7.44 [3.25, 11.62], p = 0.001, $${eta}_{p}^{2}$$ eta p 2 =0.10) and affirmative nods (group difference = 4.36 [0.21, 8.58], p = 0.040, $${eta}_{p}^{2}$$ eta p 2 = 0.04) by the virtual coach independently increased therapeutic alliance. Affirmative nods increased the treatment credibility (group difference = 1.76 [0.34, 3.11], p = 0.015, $${eta}_{p}^{2}$$ eta p 2 = 0.05) and expectancy (group difference = 2.28 [0.45, 4.12], p = 0.015, $${eta}_{p}^{2}$$ eta p 2 = 0.05) but warm facial expressions did not increase treatment credibility (group difference = 0.64 [− 0.75, 2.02], p = 0.363, $${eta}_{p}^{2}$$ eta p 2 = 0.01) or expectancy (group difference = 0.36 [− 1.48, 2.20], p = 0.700, $${eta}_{p}^{2}$$ eta p 2 = 0.001). There were no significant interactions between head nods and facial expressions in the occurrence of therapeutic alliance (p = 0.403, $${eta}_{p}^{2}$$ eta p 2 = 0.01), credibility (p = 0.072, $${eta}_{p}^{2}$$ eta p 2 = 0.03), or expectancy (p = 0.275, $${eta}_{p}^{2}$$ eta p 2 = 0.01). Our results demonstrate that in the development of automated VR therapies there is likely to be therapeutic value in detailed consideration of the animations of virtual coaches.

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

Cited by 35 publications

References 129 publications

Designing and Managing Human-AI Interactions

Designing and Managing Human-AI Interactions

Assessing the Reusability of Design Principles in the Realm of Conversational Agents

A randomised controlled test of emotional attributes of a virtual coach within a virtual reality (VR) mental health treatment

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