Robot Morphology and Children's Perception of Social Robots

Barco, Àlex; Jong, Chiara de; Peter, Jochen; Kühne, Rinaldo; Straten, Caroline L. van

doi:10.1145/3371382.3378348

Cited by 18 publications

(11 citation statements)

References 16 publications

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“…Furthermore, robots' morphologies significantly affect how children perceive robots. The study found that people's perception of robots is related to the levels of anthropomorphism and social presence that the robots convey [Barco et al 2020]. Interestingly, children relate to anthropomorphic robots with a higher level of intimacy compared with zoomorphic robots.…”

Section: Safety Requirements For Bystanders and Pedestriansmentioning

confidence: 90%

On the Safety of Mobile Robots Serving in Public Spaces

Salvini

Paez-Granados

Billard

2021

J. Hum.-Robot Interact.

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Since 2014, a specific standard has been dedicated for the safety certification of personal care robots, which operate in close proximity to humans. These robots serve as information providers, object transporters, personal mobility carriers, and security patrollers. In this article, we point out the shortcomings concerning EN ISO 13482:2014, which encompasses guidelines regarding the safety and design of personal care robots. In particular, we argue that the current standard is not suitable for guaranteeing people's safety when these robots operate in public spaces. Specifically, the standard lacks requirements to protect pedestrians and bystanders. The guideline implicitly assumes that private spaces, such as households and offices, present the same hazards as in public spaces. We highlight the existence of at least three properties pertaining to robots’ use in public spaces. These properties include (1) crowds, (2) social norms and proxemics rules, and (3) people's misbehaviours. We discuss how these properties impact robots’ safety. This article aims to raise stakeholders’ awareness on individuals’ safety when robots are deployed in public spaces. This could be achieved by integrating the gaps present in EN ISO 13482:2014 or by creating a new dedicated standard.

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Section: Safety Requirements For Bystanders and Pedestriansmentioning

confidence: 90%

On the Safety of Mobile Robots Serving in Public Spaces

Salvini

Paez-Granados

Billard

2021

J. Hum.-Robot Interact.

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“…Research indicates that perceptions of observable robot characteristics do influence judgments regarding robots' mental capacities. For instance, Barco et al (2020) and Hegel et al (2008) demonstrated that robots with a humanlike form are more anthropomorphized than functional and zoomorphic robots. Moreover, the perception that a nonhuman target moves at a speed similar to the speed of human movement has been shown to increase mind attribution (Morewedge et al, 2007).…”

Section: Precursors and Consequences Of Anthropomorphismmentioning

confidence: 99%

“…Unidimensional conceptualizations of anthropomorphism are frequently employed (Barco et al, 2020;Bartneck et al, 2009;Salem et al, 2013), the most prominent being the conceptualization by Bartneck and colleagues (2009). Unidimensional conceptualizations are not per se problematic if they are rooted in an accurate theoretical definition.…”

Section: Uni-versus Multidimensional Conceptualizations Of Anthropomo...mentioning

confidence: 99%

“…Second, our conceptualization facilitates clear distinctions of anthropomorphism from similar concepts that are frequently studied in HRI, such as animacy (Scholl & Tremoulet, 2000) and social presence (Biocca et al, 2003) and stimulates investigations into the differential roles of these concepts in HRI. Such distinctions make it possible to study, for example, the differential effects of robot morphology on anthropomorphism, animacy, and social presence (e.g., Barco et al, 2020).…”

Section: Future Research and Limitationsmentioning

confidence: 99%

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Anthropomorphism in human–robot interactions: a multidimensional conceptualization

Kühne

Peter

2022

Communication Theory

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With robots increasingly assuming social roles (e.g., assistants, companions), anthropomorphism (i.e., the cognition that an entity possesses human characteristics) plays a prominent role in human–robot interactions (HRI). However, current conceptualizations of anthropomorphism in HRI have not adequately distinguished between precursors, consequences, and dimensions of anthropomorphism. Building and elaborating on previous research, we conceptualize anthropomorphism as a form of human cognition, which centers upon the attribution of human mental capacities to a robot. Accordingly, perceptions related to a robot’s shape and movement are potential precursors of anthropomorphism, while attributions of personality and moral value to a robot are potential consequences of anthropomorphism. Arguing that multidimensional conceptualizations best reflect the conceptual facets of anthropomorphism, we propose, based on Wellman’s (1990) Theory-of-Mind (ToM) framework, that anthropomorphism in HRI consists of attributing thinking, feeling, perceiving, desiring, and choosing to a robot. We conclude by discussing applications of our conceptualization in HRI research.

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“…In fact, only recently have efforts at digital literacy begun to explore AI/algorithmic literacy [49]. However, such efforts were still mainly focused on broader concepts, such as social robotics [9,41], AI [58] and machine intelligence [22]. Children's perceptions of agents powered by AI algorithms have been shown to be strongly influenced by their previous interactions with them [80].…”

Section: Children's Perceptions Of Datafication Onlinementioning

confidence: 99%

'Don't make assumptions about me!': Understanding Children's Perception of Datafication Online

Wang

Zhao

Kleek

et al. 2022

Proc. ACM Hum.-Comput. Interact.

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Datafication, which is the process in which children's actions online are pervasively recorded, tracked, aggregated, analysed, and exploited by online services in multiple ways that include behavioural engineering, and monetisation, is becoming increasing common in the online world today. However, we know little about how children feel about such practices and how they perceive datafication. Through online interviews with 48 children aged 7-13 from UK schools, we examined how children perceive datafication practices, especially how such practices could make inference on them. We identified three key knowledge gaps in children's perceptions, including their lack of recognition of who were involved in the data processing and how, data being transmitted across platforms, and their data ownership. Through situating our findings under a critical algorithmic literacy framework, our findings provided some immediate indications regarding how we could better support children in the datafied society through more transparency and autonomy-supportive designs, as well as the need for a fundamental shift of the current data governance structure.

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Robot Morphology and Children's Perception of Social Robots

Cited by 18 publications

References 16 publications

On the Safety of Mobile Robots Serving in Public Spaces

On the Safety of Mobile Robots Serving in Public Spaces

Anthropomorphism in human–robot interactions: a multidimensional conceptualization

'Don't make assumptions about me!': Understanding Children's Perception of Datafication Online

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