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Why Some Humanoid Faces Are Perceived More Positively Than Others: Effects of Human-Likeness and Task

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TLDR
This study investigated how initial perceptions of robots are influenced by the extent of human-likeness of the robot’s face, particularly when the robot is intended to provide assistance with tasks in the home that are traditionally carried out by humans.
Abstract
Ample research in social psychology has highlighted the importance of the human face in human-human interactions. However, there is a less clear understanding of how a humanoid robot's face is perceived by humans. One of the primary goals of this study was to investigate how initial perceptions of robots are influenced by the extent of human-likeness of the robot's face, particularly when the robot is intended to provide assistance with tasks in the home that are traditionally carried out by humans. Moreover, although robots have the potential to help both younger and older adults, there is limited knowledge of whether the two age groups' perceptions differ. In this study, younger (N = 32) and older adults (N = 32) imagined interacting with a robot in four different task contexts and rated robot faces of varying levels of human-likeness. Participants were also interviewed to assess their reasons for particular preferences. This multi-method approach identified patterns of perceptions across different appearances as well as reasons that influence the formation of such perceptions. Overall, the results indicated that people's perceptions of robot faces vary as a function of robot human-likeness. People tended to over-generalize their understanding of humans to build expectations about a human-looking robot's behavior and capabilities. Additionally, preferences for humanoid robots depended on the task although younger and older adults differed in their preferences for certain humanoid appearances. The results of this study have implications both for advancing theoretical understanding of robot perceptions and for creating and applying guidelines for the design of robots.

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Journal ArticleDOI

The Development of a Scale to Evaluate Trust in Industrial Human-robot Collaboration

TL;DR: A trust measurement scale suitable for industrial HRC was developed in two phases based on the identification of trust related themes relevant to the industrial context and a related pool of questionnaire items generated.
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Measuring the Uncanny Valley Effect: Refinements to Indices for Perceived Humanness, Attractiveness, and Eeriness

TL;DR: The revised indices enable empirical relations among characters to be plotted similarly to Mori’s graph of the uncanny valley, and can be used to enhance the design of androids and 3D computer animated characters.
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How do older adults experience and perceive socially assistive robots in aged care: a systematic review of qualitative evidence

TL;DR: Understanding older adults’ lived experiences with SARs creates the possibility of using an approach that embeds technological innovation into the care practice itself, and some opinions can be ambiguous and need more attention.
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Robotic services acceptance in smart environments with older adults: user satisfaction and acceptability study.

TL;DR: Based on the feedback given by the end users, the Robot-Era system has the potential to be developed as a socially acceptable and believable provider of robotic services to facilitate older people to live independently in their homes.
Journal ArticleDOI

Leveraging “human-likeness” of robotic service at restaurants

TL;DR: This paper investigated how service robots' varying levels of human-likeness of attributes (i.e., visual, vocal and verbal) influence consumption outcomes (e.g., service encounter evaluation, revisit intentions and positive word of mouth intentions).
References
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Perceived Usefulness, Perceived Ease of Use, and User

TL;DR: Regression analyses suggest that perceived ease of use may actually be a causal antecdent to perceived usefulness, as opposed to a parallel, direct determinant of system usage.
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Perceived usefulness, perceived ease of use, and user acceptance of information technology

TL;DR: In this article, the authors developed and validated new scales for two specific variables, perceived usefulness and perceived ease of use, which are hypothesized to be fundamental determinants of user acceptance.
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User acceptance of information technology: toward a unified view

TL;DR: The Unified Theory of Acceptance and Use of Technology (UTAUT) as mentioned in this paper is a unified model that integrates elements across the eight models, and empirically validate the unified model.
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A Theoretical Extension of the Technology Acceptance Model: Four Longitudinal Field Studies

TL;DR: In this paper, the authors developed and tested a theoretical extension of the TAM model that explains perceived usefulness and usage intentions in terms of social influence and cognitive instrumental processes, which was tested using longitudinal data collected regarding four different systems at four organizations (N = 156), two involving voluntary usage and two involving mandatory usage.
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Affect- and Cognition-Based Trust as Foundations for Interpersonal Cooperation in Organizations

TL;DR: In this paper, the authors addressed the nature and functioning of relationships of interpersonal trust among managers and professionals in organizations, the factors influencing trust's development, and the implications of trust for behavior and performance.
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