549 research outputs found

    Motivational Effects of Acknowledging Feedback from a Socially Assistive Robot

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    Schneider S, Kummert F. Motivational Effects of Acknowledging Feedback from a Socially Assistive Robot. In: Agah A, Cabibihan J-J, Howard AM, Salichs MA, He H, eds. Social Robotics. ICSR 2016. Proceedings of the Eighth International Conference on Social Robotics. Lecture Notes in Computer Science. Vol 9979. Cham: Springer; 2016: 870-879

    A Psychological Need-Fulfillment Perspective for Designing Social Robots that Support Well-Being

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    This conceptual paper presents a novel framework for the design and study of social robots that support well-being. Building upon the self-determination theory and the associated Motivation, Engagement, and Thriving in User Experience (METUX) model, this paper argues that users’ psychological basic needs for autonomy, competence, and relatedness should be put at the center of social robot design. These basic needs are essential to people’s psychological well-being, engagement, and self-motivation. However, current literature offers limited insights into how human–robot interactions are related to users’ experiences of the satisfaction of their basic psychological needs and thus, to their well-being and flourishing. We propose that a need-fulfillment perspective could be an inspiring lens for the design of social robots, including socially assistive robots. We conceptualize various ways in which a psychological need-fulfillment perspective may be incorporated into future human–robot interaction research and design, ranging from the interface level to the specific tasks performed by a robot or the user’s behavior supported by the robot. The paper discusses the implications of the framework for designing social robots that promote well-being, as well as the implications for future research

    Comparing the Effects of Social Robots and Virtual Agents on Exercising Motivation

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    Schneider S, Kummert F. Comparing the Effects of Social Robots and Virtual Agents on Exercising Motivation. In: Social Robotics. Lecture Notes in Computer Science. Vol 11357. Cham: Springer International Publishing; 2018: 451-461

    Socially Assistive Robots for Exercising Scenarios. Studies on group effects, feedback, embodiment and adaption

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    Schneider S. Socially Assistive Robots for Exercising Scenarios. Studies on group effects, feedback, embodiment and adaption. Bielefeld: Universität Bielefeld; 2019.Even though positive effects of being physically active are commonly known, only a few parts of the world population are sufficiently ac- tive. The World Health Organization (WHO) states that this problem affects 31% of the adult’s world population and 80% of the adolescent population. Appropriate levels of physical activity (PA) are essential to prevent obesity in childhood and to keep a Quality of Life (QOL) in old age but are also essential to prevent other Noncommunicable Diseases (NCDs). Thus, physical inactivity is growing into a severe problem globally, and there is a growing need to motivate people to become more physically active during their lifetime. One primary cause that raises PA levels is having a peer or help from professionals. However, having assistance is not possible in every situation. It might be challenging to find and schedule with a partner or to commute to other places. Roboticist introduced Socially Assistive Robot (SAR) as an assistive tool for exercising, cognitive or rehabilitation tasks. This thesis explores SAR in the context of exercising along four features that have been partly targeted but not yet thoroughly investigated. These features are a) the social role of the robot, b) encouragement c) embodiment and d) adaptation. First, this thesis looks at the mo- tivational effects of exercising with SAR concerning features a) - c). Second, this thesis questions how a system can adapt to the user, and whether adaptivity or adaptability is enough to close the gap between user needs and system behavior. I conducted studies that test the dif- ferent features by assessing subjective ratings of the robot as well as measurable motivational variables (e.g., time spent exercising with the robot) in a bodyweight workout scenario. The results show that features a) - c) have a positive influence on user’s exercising time. Additionally, users perceive a robot compan- ion as more likable than a robot instructor or a human partner. Fur- thermore, an adaptive robot increases the associated competence and quality of relationship compared to an adaptable robot. However, the results also show that the robot does not always have to exercise along with the user. In situations where it is not possible, the robot could also only give encouraging feedback. This thesis backs up earlier find- ings of using SAR by replicating motivational group exercising ef- fects found in Human-Human Interaction (HHI). Thus, the evidence that SARs are a suitable tool for rehabilitative interventions increases which may convince health experts to consider SAR as a useful thera- peutic tool. Nevertheless, this thesis evaluated the effects only during short-term interactions. Thus, proving that the found effects are long- lasting is essential for future studies

    Integrating Socially Assistive Robots into Language Tutoring Systems. A Computational Model for Scaffolding Young Children's Foreign Language Learning

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    Schodde T. Integrating Socially Assistive Robots into Language Tutoring Systems. A Computational Model for Scaffolding Young Children's Foreign Language Learning. Bielefeld: Universität Bielefeld; 2019.Language education is a global and important issue nowadays, especially for young children since their later educational success build on it. But learning a language is a complex task that is known to work best in a social interaction and, thus, personalized sessions tailored to the individual knowledge and needs of each child are needed to allow for teachers to optimally support them. However, this is often costly regarding time and personnel resources, which is one reasons why research of the past decades investigated the benefits of Intelligent Tutoring Systems (ITSs). But although ITSs can help out to provide individualized one-on-one tutoring interactions, they often lack of social support. This dissertation provides new insights on how a Socially Assistive Robot (SAR) can be employed as a part of an ITS, building a so-called "Socially Assistive Robot Tutoring System" (SARTS), to provide social support as well as to personalize and scaffold foreign language learning for young children in the age of 4-6 years. As basis for the SARTS a novel approach called A-BKT is presented, which allows to autonomously adapt the tutoring interaction to the children's individual knowledge and needs. The corresponding evaluation studies show that the A-BKT model can significantly increase student's learning gains and maintain a higher engagement during the tutoring interaction. This is partly due to the models ability to simulate the influences of potential actions on all dimensions of the learning interaction, i.e., the children's learning progress (cognitive learning), affective state, engagement (affective learning) and believed knowledge acquisition (perceived learning). This is particularly important since all dimensions are strongly interconnected and influence each other, for example, a low engagement can cause bad learning results although the learner is already quite proficient. However, this also yields the necessity to not only focus on the learner's cognitive learning but to equally support all dimensions with appropriate scaffolding actions. Therefore an extensive literature review, observational video recordings and expert interviews were conducted to find appropriate actions applicable for a SARTS to support each learning dimension. The subsequent evaluation study confirms that the developed scaffolding techniques are able to support young children’s learning process either by re-engaging them or by providing transparency to support their perception of the learning process and to reduce uncertainty. Finally, based on educated guesses derived from the previous studies, all identified strategies are integrated into the A-BKT model. The resulting model called ProTM is evaluated by simulating different learner types, which highlight its ability to autonomously adapt the tutoring interactions based on the learner's answers and provided dis-engagement cues. Summarized, this dissertation yields new insights into the field of SARTS to provide personalized foreign language learning interactions for young children, while also rising new important questions to be studied in the future

    Acceptance and Applicability of Educational Robots. Evaluating Factors Contributing to a Successful Introduction of Social Robots into Education

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    Reich-Stiebert N. Acceptance and Applicability of Educational Robots. Evaluating Factors Contributing to a Successful Introduction of Social Robots into Education. Bielefeld: Universität Bielefeld; 2019.The use of robots in the area of education is rapidly gaining momentum. Education faces restructuring and modernization in the forthcoming age of robots, thus necessitating research meeting the requirements of this development. In this, focusing on robots’ acceptance and applicability in educational contexts, right from the very beginning, is crucial. Therefore, this dissertation thesis has addressed this issue. It has striven to evaluate factors which contribute to a successful introduction of robots into education in a systematic manner. The strengths of the current work lie in its interdisciplinary nature, theoretical fundament, and the application of empirical and experimental methods. In practical terms, a set of studies have offered insights on how the implementation and application of robots in education could be facilitated. To do so, they operated on three different levels: First, the focus was on end users’ attitudes toward educational robots. It was shown that their attitudes and willingness to use educational robots were moderate. However, the results also indicated that the acceptance of educational robots could be fostered by the promotion of people’s general technical interest and a targeted use of robots in individual or small-group learning activities, in domains related to science and technology. In addition, it was found that user involvement in an educational robot’s design process can increase people’s general acceptance of educational robots. Second, the work focused on how to effectively design a human-robot interaction (HRI) for learning purposes by building upon the cooperative learning paradigm found in educational literature. Actual HRI experiments confirmed that a robot’s physical presence was beneficial for the learning experience, and implied that positive interdependence with a robot, social support from it, and mutual feedback about the learning process were positively related to the learning experience and the learners’ perception of the robot. Third, when tackling the issue of the ideal educational robot design, it has become clear that people’s perception of robots is influenced by context- and person-specific factors. To trigger a higher acceptance of educational robots, robotics research should match potential end users’ educational robot design concepts, for example, machinelike appearance and functionality as well as privacy and safety requirements. Taken together, this dissertation presents a sound basis for identifying issues related to the implementation and application of educational robots. However, research is still far from having completed the development of strategies for implementing and using social robots in education meaningfully. Consequently, potential future research directions will be discussed in light of the obtained results

    Proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET 2013)

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    "This book contains the proceedings of the International Workshop on EuroPLOT Persuasive Technology for Learning, Education and Teaching (IWEPLET) 2013 which was held on 16.-17.September 2013 in Paphos (Cyprus) in conjunction with the EC-TEL conference. The workshop and hence the proceedings are divided in two parts: on Day 1 the EuroPLOT project and its results are introduced, with papers about the specific case studies and their evaluation. On Day 2, peer-reviewed papers are presented which address specific topics and issues going beyond the EuroPLOT scope. This workshop is one of the deliverables (D 2.6) of the EuroPLOT project, which has been funded from November 2010 – October 2013 by the Education, Audiovisual and Culture Executive Agency (EACEA) of the European Commission through the Lifelong Learning Programme (LLL) by grant #511633. The purpose of this project was to develop and evaluate Persuasive Learning Objects and Technologies (PLOTS), based on ideas of BJ Fogg. The purpose of this workshop is to summarize the findings obtained during this project and disseminate them to an interested audience. Furthermore, it shall foster discussions about the future of persuasive technology and design in the context of learning, education and teaching. The international community working in this area of research is relatively small. Nevertheless, we have received a number of high-quality submissions which went through a peer-review process before being selected for presentation and publication. We hope that the information found in this book is useful to the reader and that more interest in this novel approach of persuasive design for teaching/education/learning is stimulated. We are very grateful to the organisers of EC-TEL 2013 for allowing to host IWEPLET 2013 within their organisational facilities which helped us a lot in preparing this event. I am also very grateful to everyone in the EuroPLOT team for collaborating so effectively in these three years towards creating excellent outputs, and for being such a nice group with a very positive spirit also beyond work. And finally I would like to thank the EACEA for providing the financial resources for the EuroPLOT project and for being very helpful when needed. This funding made it possible to organise the IWEPLET workshop without charging a fee from the participants.

    Socially assistive robots as mental health interventions for children : a scoping review

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    Socially Assistive Robots are promising in their potential to promote and support mental health in children. There is a growing number of studies investigating the feasibility and effectiveness of robot interventions in supporting children’s mental wellbeing. Although preliminary evidence suggests that Socially Assistive Robots may have the potential to help address concerns such as stress and anxiety in children, there is a need for a greater focus in examining the impact of robotic interventions in this population. In order to better understand the current state of the evidence in this field and identify critical gaps, we carried out a scoping review of the available literature examining how social robots are investigated as means to support mental health in children. We identified existing types of robot intervention and measures that are being used to investigate specific mental health outcomes. Overall, our findings suggest that robot interventions for children may positively impact mental health outcomes such as relief of distress and increase positive affect. Results also show that the strength of evidence needs to be improved to determine what types of robotic interventions could be most effective and readily implemented in pediatric mental health care. Based on our findings, we propose a set of recommendations to guide further research in this area
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