The Peculiarities of Robot Embodiment (EmCorp-Scale)

Hoffmann, Laura; Bock, Nikolai; Putten, Astrid M. Rosenthal v.d.

doi:10.1145/3171221.3171242

Cited by 36 publications

(18 citation statements)

References 26 publications

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“…The respective body of research has grown only slowly since the publication of the 2015 review (for additional work, see Kamide et al, 2014;Hoffmann et al, 2018;Keijsers et al, 2019). A recent overview article by Deng et al (2019) focused on the impact of different physical or virtual embodiments of socially interactive robots, whereby a virtual embodiment could manifest in different manners such as an animated virtual representation of a robot, an animated virtual (non-robotic) agent, or a video of a robot.…”

Section: Introductionmentioning

confidence: 99%

User Responses to a Humanoid Robot Observed in Real Life, Virtual Reality, 3D and 2D

et al. 2021

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Humanoid robots (i.e., robots with a human-like body) are projected to be mass marketed in the future in several fields of application. Today, however, user evaluations of humanoid robots are often based on mediated depictions rather than actual observations or interactions with a robot, which holds true not least for scientific user studies. People can be confronted with robots in various modes of presentation, among them (1) 2D videos, (2) 3D, i.e., stereoscopic videos, (3) immersive Virtual Reality (VR), or (4) live on site. A systematic investigation into how such differential modes of presentation influence user perceptions of a robot is still lacking. Thus, the current study systematically compares the effects of different presentation modes with varying immersive potential on user evaluations of a humanoid service robot. Participants (N = 120) observed an interaction between a humanoid service robot and an actor either on 2D or 3D video, via a virtual reality headset (VR) or live. We found support for the expected effect of the presentation mode on perceived immediacy. Effects regarding the degree of human likeness that was attributed to the robot were mixed. The presentation mode had no influence on evaluations in terms of eeriness, likability, and purchase intentions. Implications for empirical research on humanoid robots and practice are discussed.

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Section: Introductionmentioning

confidence: 99%

User Responses to a Humanoid Robot Observed in Real Life, Virtual Reality, 3D and 2D

et al. 2021

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“…For example, Sutton et al propose a framework based on findings from socio-phonetics [71]. While studying voices in isolation prevents the confounding effects of voice with the effects of embodiment, in practice embodiment, form-factor, and contexts of use do indeed influence how people perceive voice interfaces and social robots [23,28,34,50]. In our work, we hold that these attributes are not undesirable confounds, but necessary dimensions of analysis: smart devices necessarily will possess form, contexts of use, and perhaps even human-like embodiment.…”

Section: Introductionmentioning

confidence: 99%

One Voice Fits All?

Cambre

Kulkarni

2019

Proc. ACM Hum.-Comput. Interact.

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When a smart device talks, what should its voice sound like? Voice-enabled devices are becoming a ubiquitous presence in our everyday lives. Simultaneously, speech synthesis technology is rapidly improving, making it possible to generate increasingly varied and realistic computerized voices. Despite the flexibility and richness of expression that technology now affords, today's most common voice assistants often have female-sounding, polite, and playful voices by default. In this paper, we examine the social consequences of voice design, and introduce a simple research framework for understanding how voice affects how we perceive and interact with smart devices. Based on the foundational paradigm of computers as social actors, and informed by research in human-robot interaction, this framework demonstrates how voice design depends on a complex interplay between characteristics of the user, device, and context. Through this framework, we propose a set of guiding questions to inform future research in the space of voice design for smart devices. CCS Concepts: • Human-centered computing → HCI theory, concepts and models.

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“…For instance, the robot's embodiment can be zoomorphic or humanoid, some are able to manipulate objects with arms while other have wheels, et cetera. They write that perceived robot morphology influences the capabilities that humans expect a robot to have [48].…”

Section: Differences Between the Human And The Robotmentioning

confidence: 99%

Communication Models in Human–Robot Interaction: An Asymmetric MODel of ALterity in Human–Robot Interaction (AMODAL-HRI)

Frijns

Schürer

Koeszegi

2021

Int J of Soc Robotics

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We argue for an interdisciplinary approach that connects existing models and theories in Human–Robot Interaction (HRI) to traditions in communication theory. In this article, we review existing models of interpersonal communication and interaction models that have been applied and developed in the contexts of HRI and social robotics. We argue that often, symmetric models are proposed in which the human and robot agents are depicted as having similar ways of functioning (similar capabilities, components, processes). However, we argue that models of human–robot interaction or communication should be asymmetric instead. We propose an asymmetric interaction model called AMODAL-HRI (an Asymmetric MODel of ALterity in Human–Robot Interaction). This model is based on theory on joint action, common robot architectures and cognitive architectures, and Kincaid’s model of communication. On the basis of this model, we discuss key differences between humans and robots that influence human expectations regarding interacting with robots, and identify design implications.

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The Peculiarities of Robot Embodiment (EmCorp-Scale)

Cited by 36 publications

References 26 publications

User Responses to a Humanoid Robot Observed in Real Life, Virtual Reality, 3D and 2D

User Responses to a Humanoid Robot Observed in Real Life, Virtual Reality, 3D and 2D

One Voice Fits All?

Communication Models in Human–Robot Interaction: An Asymmetric MODel of ALterity in Human–Robot Interaction (AMODAL-HRI)

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