Who Do You Want to Talk to?

Heuer, Tanja

doi:10.1145/3340764.3344878

Cited by 4 publications

(1 citation statement)

References 10 publications

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“…It has been shown that this does vary from person to person and is multidimensional ( Paetzel et al, 2016a ; Paetzel et al, 2016b ; Paetzel, 2017 ). Indeed, there might be scope for implementing user customisation of an embodied CA robot face as suggested by Heuer (2019) .…”

Section: Discussionmentioning

confidence: 99%

Seeing eye to eye: trustworthy embodiment for task-based conversational agents

Robb,

Lopes,

Ahmad

et al. 2023

Front. Robot. AI

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Smart speakers and conversational agents have been accepted into our homes for a number of tasks such as playing music, interfacing with the internet of things, and more recently, general chit-chat. However, they have been less readily accepted in our workplaces. This may be due to data privacy and security concerns that exist with commercially available smart speakers. However, one of the reasons for this may be that a smart speaker is simply too abstract and does not portray the social cues associated with a trustworthy work colleague. Here, we present an in-depth mixed method study, in which we investigate this question of embodiment in a serious task-based work scenario of a first responder team. We explore the concepts of trust, engagement, cognitive load, and human performance using a humanoid head style robot, a commercially available smart speaker, and a specially developed dialogue manager. Studying the effect of embodiment on trust, being a highly subjective and multi-faceted phenomena, is clearly challenging, and our results indicate that potentially, the robot, with its anthropomorphic facial features, expressions, and eye gaze, was trusted more than the smart speaker. In addition, we found that embodying a conversational agent helped increase task engagement and performance compared to the smart speaker. This study indicates that embodiment could potentially be useful for transitioning conversational agents into the workplace, and further in situ, “in the wild” experiments with domain workers could be conducted to confirm this.

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Section: Discussionmentioning

confidence: 99%

Seeing eye to eye: trustworthy embodiment for task-based conversational agents

Robb,

Lopes,

Ahmad

et al. 2023

Front. Robot. AI

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How Should Your Assistive Robot Look Like? A Scoping Review on Embodiment for Assistive Robots

Ringwald

Theben

Gerlinger

et al. 2023

J Intell Robot Syst

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Assistive robots have the potential to support older people and people with disabilities in various tasks so that they can live more independently. One of the research challenges is the appearance of assistive robots so that they are accepted by prospective users and encourage interaction. This scoping review aims to identify studies that report preferences in order to derive indicators for the embodiment of a robot with assistance functions. A systematic literature research was conducted in the three electronic databases IEEE Xplore, ACM Digital Library and PubMed Central (PMC). Included papers date back not further than 2015 and report empirical studies about the preferred appearance of service robots. The search resulted in 1,760 papers. 29 were included, of which 20 papers reported quantitative studies, three described a qualitative and six a mixed-methods design. Out of these papers, seven categories of robot appearances and design components could be extracted. Most papers focused on humanoid or humanlike robots and components like facial features or gender aspects. Others relied on design that reflects the robot’s function or simulated emotions through light applications. Only eight studies focused on older adults, and no study on people with disabilities. The appearance of a humanoid robot is often described as favorable, but the definition of ‘humanoid’ varies widely within all analyzed studies and an explizit allocation of features is not possible. For their practical work, robot designers can extract various aspects from the papers; however, for generalization more research is necessary.

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Effects of Head Shape, Facial Features, Camera, and Gender on the Perceptions of Rendered Robot Faces

Chen

Jia

2022

Int J of Soc Robotics

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Who Do You Want to Talk to?

Cited by 4 publications

References 10 publications

Seeing eye to eye: trustworthy embodiment for task-based conversational agents

Seeing eye to eye: trustworthy embodiment for task-based conversational agents

How Should Your Assistive Robot Look Like? A Scoping Review on Embodiment for Assistive Robots

Effects of Head Shape, Facial Features, Camera, and Gender on the Perceptions of Rendered Robot Faces

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