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Visual overview of the Furhat social robot. Photographed by Furhat Robotics. (https://furhatrobotics.com/).
Context in source publication
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... particular social robot was selected for inclusion because its size, appearance and capacity for conversation were considered to align with the research aim, the enablement of human-robot interaction in medication counseling. For a visual overview of the robot see Figure 1. Fashioned as an animated face sitting atop a base, the Furhat robot can be integrated with various information channels, includes a 3D animated projector with the capacity for 22 animated faces (additional customized faces created on-demand) and can interact in 40 different languages and in an unlimited number of characters. ...
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Citations
... As part of the PharmAInteraction project in Ostrobothnia, Finland, 31 aiming to co-design and iteratively test a robot application to be used for medication counselling purposes in community pharmacies, the study utilised a social robot called Furhat (Fig. 1). This robot is developed by Furhat Robotics and has been called the world's most advanced social robot. ...
Introduction: The sustainable implementation of socially assistive robots in a pharmacy setting requires that customers trust the robot. Our aim was to explore young adults’ anticipations of and motives for trusting robot medication counseling in a high-stakes scenario.
Methods: Through a co-creation approach, we co-designed a prototype application for the Furhat platform together with young adults. In-lab testing of a pharmacy scenario, where the robot provides medication counseling related to emergency contraceptive pills, was conducted to deepen our understanding of some factors driving young adults’ initial trust establishment and anticipations of interacting with a robot in a high-stakes scenario. Qualitative data from interviews with six study participants were analyzed using inductive, reflexive thematic analysis and are presented through a narrative approach.
Results: We outline five tales of trust characterized by personas. A continuum of different anticipations for consulting a robot in medication counseling is presented, ranging from low to high expectations of use. Driving factors in the initial trust establishment process are position, autonomy, boundaries, shame, gaze, and alignment.
Discussion: The article adds to the understanding of the dimensions of the multifaceted trust concept, of driving trust factors, and of the subsequent anticipation to trust robots in a high-stakes pharmacy context.
