Guiding the Behavior Design of Virtual Assistants

Azmandian, Mahdi; Arroyo-Palacios, Jorge; Osman, Steven

doi:10.1145/3308532.3329436

Cited by 4 publications

(2 citation statements)

References 5 publications

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“…Recent work has motivated to investigate how humans react to AIs during interaction. These approaches include investigations of verbal interaction (Fraser et al, 2018;Rieser, 2019) and its influence on the tendency to anthropomorphize (Strathmann et al, 2020), and behavior design (Azmandian et al, 2019) including emotional intelligence (Fan et al, 2017). (Kulms and Kopp, 2016) explicitly target embodiment effects.…”

Section: Figure 3 |mentioning

confidence: 99%

eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research

Wienrich

Latoschik

2021

Front. Virtual Real.

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Artificial Intelligence (AI) covers a broad spectrum of computational problems and use cases. Many of those implicate profound and sometimes intricate questions of how humans interact or should interact with AIs. Moreover, many users or future users do have abstract ideas of what AI is, significantly depending on the specific embodiment of AI applications. Human-centered-design approaches would suggest evaluating the impact of different embodiments on human perception of and interaction with AI. An approach that is difficult to realize due to the sheer complexity of application fields and embodiments in reality. However, here XR opens new possibilities to research human-AI interactions. The article’s contribution is twofold: First, it provides a theoretical treatment and model of human-AI interaction based on an XR-AI continuum as a framework for and a perspective of different approaches of XR-AI combinations. It motivates XR-AI combinations as a method to learn about the effects of prospective human-AI interfaces and shows why the combination of XR and AI fruitfully contributes to a valid and systematic investigation of human-AI interactions and interfaces. Second, the article provides two exemplary experiments investigating the aforementioned approach for two distinct AI-systems. The first experiment reveals an interesting gender effect in human-robot interaction, while the second experiment reveals an Eliza effect of a recommender system. Here the article introduces two paradigmatic implementations of the proposed XR testbed for human-AI interactions and interfaces and shows how a valid and systematic investigation can be conducted. In sum, the article opens new perspectives on how XR benefits human-centered AI design and development.

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Section: Figure 3 |mentioning

confidence: 99%

eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research

Wienrich

Latoschik

2021

Front. Virtual Real.

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“…A user study is one of the common methods to collect users' feedback on the design ideas of intelligent agents, e.g., [13]. User studies are often conducted with prototypes that can offer the interactions proposed in a design concept.…”

Section: Literature On Engaging Users In Va Designmentioning

confidence: 99%

Dimension-Based Interactions with Virtual Assistants: A Co-Design Project with Design Fictions

Lau

2021

MTI

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This study presents a co-design project that invites participants with little or no background in artificial intelligence (AI) and machine learning (ML) to design their ideal virtual assistants (VAs) for everyday (/daily) use. VAs are differently designed and function when integrated into people’s daily lives (e.g., voice-controlled VAs are designed to blend in based on their natural qualities). To further understand users’ ideas of their ideal VA designs, participants were invited to generate designs of personal VAs. However, end users may have unrealistic expectations of future technologies. Therefore, design fiction was adopted as a method of guiding the participants’ image of the future and carefully managing their realistic, as well as unrealistic, expectations of future technologies. The result suggests the need for a human–AI relationship based on controls with various dimensions (e.g., vocalness degree and autonomy level) instead of specific features. The design insights are discussed in detail. Additionally, the co-design process offers insights into how users can participate in AI/ML designs.

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Just a Natural Talk? The Rise of Intelligent Personal Assistants and the (Hidden) Legacy of Ubiquitous Computing

Barzilai

Rampino

2020

Design, User Experience, and Usability. Design for Contemporary Interactive Environments

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Guiding the Behavior Design of Virtual Assistants

Cited by 4 publications

References 5 publications

eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research

eXtended Artificial Intelligence: New Prospects of Human-AI Interaction Research

Dimension-Based Interactions with Virtual Assistants: A Co-Design Project with Design Fictions

Just a Natural Talk? The Rise of Intelligent Personal Assistants and the (Hidden) Legacy of Ubiquitous Computing

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