68 research outputs found

    A Questionnaire for the Evaluation of Physical Assistive Devices (QUEAD) : testing usability and acceptance in physical human-robot interaction

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    Many novel physical assistance devices are beginning to incorporate intelligent robotic systems and mechatronic components. In terms of a human-centered design it is crucial to assess the perceived subjective usability and acceptance of these systems. A questionnaire was thus designed to evaluate novel physically assisting devices in order to support developers in their design decisions as well as users during individualizing of their assistive devices. Two studies (m = 9, n2 = 21), using two different devices, were conducted to analyze objectivity, reliability, and validity. The results show an overall high internal consistency (Cronbach's α > 0.8), which indicates reliability and applicability of the QUEAD. Criterion validity was tested applying correlations with established objective measures for efficiency (time to task completion), effectivity (errors and collisions), and commitment (mean force). Construct validity was applied using a proposed model and correlations to verify convergence. The results show that the QUEAD is able to assess perceived usability and acceptance

    Theory of Robot Communication: II. Befriending a Robot over Time

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    In building on theories of Computer-Mediated Communication (CMC), Human-Robot Interaction, and Media Psychology (i.e. Theory of Affective Bonding), the current paper proposes an explanation of how over time, people experience the mediated or simulated aspects of the interaction with a social robot. In two simultaneously running loops, a more reflective process is balanced with a more affective process. If human interference is detected behind the machine, Robot-Mediated Communication commences, which basically follows CMC assumptions; if human interference remains undetected, Human-Robot Communication comes into play, holding the robot for an autonomous social actor. The more emotionally aroused a robot user is, the more likely they develop an affective relationship with what actually is a machine. The main contribution of this paper is an integration of Computer-Mediated Communication, Human-Robot Communication, and Media Psychology, outlining a full-blown theory of robot communication connected to friendship formation, accounting for communicative features, modes of processing, as well as psychophysiology.Comment: Hoorn, J. F. (2018). Theory of robot communication: II. Befriending a robot over time. arXiv:cs, 2502572(v1), 1-2

    User-centered design of a dynamic-autonomy remote interaction concept for manipulation-capable robots to assist elderly people in the home

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    In this article, we describe the development of a human-robot interaction concept for service robots to assist elderly people in the home with physical tasks. Our approach is based on the insight that robots are not yet able to handle all tasks autonomously with sufficient reliability in the complex and heterogeneous environments of private homes. We therefore employ remote human operators to assist on tasks a robot cannot handle completely autonomously. Our development methodology was user-centric and iterative, with six user studies carried out at various stages involving a total of 241 participants. The concept is under implementation on the Care-O-bot 3 robotic platform. The main contributions of this article are (1) the results of a survey in form of a ranking of the demands of elderly people and informal caregivers for a range of 25 robot services, (2) the results of an ethnography investigating the suitability of emergency teleassistance and telemedical centers for incorporating robotic teleassistance, and (3) a user-validated human-robot interaction concept with three user roles and corresponding three user interfaces designed as a solution to the problem of engineering reliable service robots for home environments

    roboterfabrik : A Pilot to Link and Unify German Robotics Education to Match Industrial and Societal Demands

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    In this paper we introduce a novel robotics education concept entitled roboterfabrik. This approach is already implemented as a pilot project in the German educational system. Overall, we promote establishing the first generation of robotic natives. For this we need to provide both practical and theoretical experience in robotics to young people and give them access to state-of-the art, high performance yet affordable industrial robotic technology. Specifically, our approach systematically connects different existing school types, universities as well as companies. It comprises specialized lectures at the university, certified workshops and Robothons which are derived from the hackathon concept, and modified to the demand of roboticists

    RELEVANCE OF ETHICAL GUIDELINES FOR ARTIFICIAL INTELLIGENCE – A SURVEY AND EVALUATION

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    Ethics for artificial intelligence (AI) is a topic of growing practical relevance. Many people seem to believe that AI could render jobs obsolete in the future. Others wonder who is in charge for the actions of AI systems they encounter. Providing and prioritizing ethical guidelines for AI is therefore an important measure for providing safeguards and increasing the acceptance of this technology. The aim of this research is to survey ethical guidelines for the handling of AI in the ICT industry and evaluate them with respect to their relevance. For this goal, first, an overview of AI ethics is derived from the literature, with a focus on classical Western ethical theories. From this, a candidate set of important ethical guidelines is developed. Then, qualitative interviews with experts are conducted for in-depth feedback and ranking of these guidelines. Furthermore, an online survey is performed in order to more representatively weight the ethical guidelines in terms of importance among a broader audience. Combining both studies, a prioritization matrix is created using the weights from the experts and the survey participants in order to synthesize their votes. Based on this, a ranked catalogue of ethical guidelines for AI is created, and novel avenues for research on AI ethics are presented

    Believing in BERT:Using expressive communication to enhance trust and counteract operational error in physical Human-robot interaction

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    Strategies are necessary to mitigate the impact of unexpected behavior in collaborative robotics, and research to develop solutions is lacking. Our aim here was to explore the benefits of an affective interaction, as opposed to a more efficient, less error prone but non-communicative one. The experiment took the form of an omelet-making task, with a wide range of participants interacting directly with BERT2, a humanoid robot assistant. Having significant implications for design, results suggest that efficiency is not the most important aspect of performance for users; a personable, expressive robot was found to be preferable over a more efficient one, despite a considerable trade off in time taken to perform the task. Our findings also suggest that a robot exhibiting human-like characteristics may make users reluctant to ‘hurt its feelings’; they may even lie in order to avoid this

    Artificial Companions with Personality and Social Role

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    Subtitle: "Expectations from Users on the Design of Groups of Companions"International audienceRobots and virtual characters are becoming increasingly used in our everyday life. Yet, they are still far from being able to maintain long-term social relationships with users. It also remains unclear what future users will expect from these so-called "artificial companions" in terms of social roles and personality. These questions are of importance because users will be surrounded with multiple artificial companions. These issues of social roles and personality among a group of companions are sledom tackled in user studies. In this paper, we describe a study in which 94 participants reported that social roles and personalities they would expect from groups of companions. We explain how the resulsts give insights for the design of future groups of companions endowed with social intelligence
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