186 research outputs found

    On the perceived human-likeness of virtual health agents: Towards a Generalized Measurement of Anthropomorphism

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    An important factor in the effectiveness of virtual health agents is the extent to which they are perceived as human-like. This perceived human-likeness (anthropomorphism) could create expectations about the agent's abilities. However, the concept anthropomorphism is interpreted in different ways, leading to different operationalizations. This paper discusses differences between those interpretations and proposes a measuring instrument for anthropomorphism based on the Rasch model. This instrument tests whether or not certain human-like characteristics are attributed to a virtual agent. Data from a number of studies are presented to show the reliability and validity of using this method. Finally, the paper discusses the method's added value in the measurement of anthropomorphism, as well as future steps to be taken

    On the perceived human-likeness of virtual health agents:Towards a Generalized Measurement of Anthropomorphism

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    An important factor in the effectiveness of virtual health agents is the extent to which they are perceived as human-like. This perceived human-likeness (anthropomorphism) could create expectations about the agent's abilities. However, the concept anthropomorphism is interpreted in different ways, leading to different operationalizations. This paper discusses differences between those interpretations and proposes a measuring instrument for anthropomorphism based on the Rasch model. This instrument tests whether or not certain human-like characteristics are attributed to a virtual agent. Data from a number of studies are presented to show the reliability and validity of using this method. Finally, the paper discusses the method's added value in the measurement of anthropomorphism, as well as future steps to be taken

    Dynamic perceptions of human-likeness while interacting with a social robot

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    In human-robot interaction research, much attention is given to the development of socially assistive robots that can have natural interactions with their users. One crucial aspect of such natural interactions is that the robot is perceived as human-like. Much research already exists that investigated perceptions of the human-likeness of social robots, but the duration of the interaction is often overlooked. In an experiment we show that people's human-like perceptions of social robots change substantially over time. With this we show the importance of taking multiple measurements of perceived human-likeness

    Ambiguous agents: the influence of consistency of an artificial agent’s social cues on emotion recognition, recall, and persuasiveness

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    This article explores the relation between consistency of social cues and persuasion by an artificial agent. Including (minimal) social cues in Persuasive Technology (PT) increases the probability that people attribute human-like characteristics to that technology, which in turn can make that technology more persuasive (see, e.g., Nass, Steuer, Tauber, & Reeder, 1993). PT in the social actor role can be equipped with a variety of social cues to create opportunities for applying social influence strategies (for an overview, see Fogg, 2003). However, multiple social cues may not always be perceived as being consistent, which could decrease their perceived human-likeness and their persuasiveness. In the current article, we investigate the relation between consistency of social cues and persuasion by an artificial agent. Findings of two studies show that consistency of social cues increases people’s recognition and recall of artificial agents’ emotional expressions, and make those agents more persuasive. These findings show the importance of the combined meaning of social cues in the design of persuasive artificial agents

    De kwaliteit van wonen in stedelijke dichtheid: "Almere groen en stedelijk"

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    Common ground

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