Snehasish Banerjee , Héctor González-Jiménez , Li Zheng
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引用次数: 0
Abstract
Rooted in the Computers Are Social Actors (CASA) paradigm, this study explored the possibility of robots to serve as companions. Two research questions were investigated: (1) How do people’s perceptions of companion robots help them obtain social support from the robots? (2) To what extent does robot appearance affect the relationship between people’s perceptions of companion robots and social support? Three different robots were considered: Geminoid DK (a human-like robot), Pepper (a human/machine-like playful robot), and AIBO (a zoomorphic robot). A scenario-based online experiment (N = 306) was conducted with robot appearance as a between-participants factor. Perceived anthropomorphism of robots had a negative curvilinear relationship with social support. Perceived safety was a significant mediator that explained the effects of perceived anthropomorphism on social support for all three robot types. The study further revealed how perceptions of a robot vary as a function of its appearance. Perceived likeability mediated the effect of perceived anthropomorphism on social support for Pepper but not for Geminoid DK or AIBO. The study adds to the human-robot interaction literature by revealing the underlying mechanism of how robots’ perceived anthropomorphism predicts the extent to which they can offer social support as companions.
期刊介绍:
The International Journal of Human-Computer Studies publishes original research over the whole spectrum of work relevant to the theory and practice of innovative interactive systems. The journal is inherently interdisciplinary, covering research in computing, artificial intelligence, psychology, linguistics, communication, design, engineering, and social organization, which is relevant to the design, analysis, evaluation and application of innovative interactive systems. Papers at the boundaries of these disciplines are especially welcome, as it is our view that interdisciplinary approaches are needed for producing theoretical insights in this complex area and for effective deployment of innovative technologies in concrete user communities.
Research areas relevant to the journal include, but are not limited to:
• Innovative interaction techniques
• Multimodal interaction
• Speech interaction
• Graphic interaction
• Natural language interaction
• Interaction in mobile and embedded systems
• Interface design and evaluation methodologies
• Design and evaluation of innovative interactive systems
• User interface prototyping and management systems
• Ubiquitous computing
• Wearable computers
• Pervasive computing
• Affective computing
• Empirical studies of user behaviour
• Empirical studies of programming and software engineering
• Computer supported cooperative work
• Computer mediated communication
• Virtual reality
• Mixed and augmented Reality
• Intelligent user interfaces
• Presence
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