Background: The surge in the development of social robots gives rise to an increased need for systematic methods of assessing attitudes towards robots. Aim: This study presents the development of a questionnaire for assessing attitudinal stance towards social robots: the ASOR. Methods: The 37-item ASOR questionnaire was developed by a task-force with members from different disciplines. It was founded on theoretical considerations of how social robots could influence five different aspects of relatedness. Results: Three hundred thirty-nine people responded to the (...) survey. Factor analysis of the ASOR yielded a three-factor solution consisting of a total of 25 items: “ascription of mental capacities”, “ascription of socio-practical capacities”, and “ascription of socio-moral status”. This data was further triangulated with data from interviews (n = 10). Conclusion: the ASOR allows for assessment of three distinct facets of ascription of capacities to social robots and offers a new type of assessment of attitudes towards social robots. It appeared that ASOR not only assesses ascription of capacities to social robots but it also gauged overall positive attitudes towards social robots. (shrink)

Spoken communication between social robotic devices, powered by generative AI tools such as ChatGPT, and the senior population offers great potential for researching social interaction and robot identity perceptions as well as exploring the potential opportunities and challenges when implementing this human-machine interactions in real life situations and health care. In this paper we explore people’s perceptions of the social robot Furhat when administering verbal tasks similar to those used in screening for Alzheimer’s disease. We describe the Slovak system mounted (...) on the robot that includes a speech recognizer, the scenarios powered by generative large language model ChatGPT, and a speech synthesizer. We tested the functionality of the proposed approach with two groups of participants: attendees of a large science fair and a scientific conference. The observations from 87 collected questionnaires suggest good potential and applicability of such an approach for the given task and more positive attitudes of older subjects compared to younger ones. (shrink)

Abstract“Integrative Social Robotics” (ISR) is a new approach or general method for generating social robotics applications in a responsible and “culturally sustainable” fashion. Currently social robotics is caught in a basic difficulty we call the “triple gridlock of description, evaluation, and regulation”. We briefly recapitulate this problem and then present the core ideas of ISR in the form of five principles that should guide the development of applications in social robotics. Characteristic of ISR is to intertwine a mixed method approach (...) (i.e., conducting experimental, quantitative, qualitative, and phenomenological research for the same envisaged application) with conceptual and axiological analysis as required in professional studies in applied ethics; moreover, ISR is value-drivenand abides by the “Non-Replacement Principle”:Social robots may only do what humans should but cannot do. We briefly compare ISR to other value-sensitive or value-directed design models, with a view to the task of overcoming the triple gridlock. Finally, working from an advanced classification of pluridiscplinary research, we argue that ISR establishes a research format that can turn social robotics into a new transdiscipline. (shrink)

Background:The surge in the development of social robots gives rise to an increased need for systematic methods of assessing attitudes towards robots.Aim:This study presents the development of a questionnaire for assessing attitudinal stance towards social robots: the ASOR.Methods:The 37-item ASOR questionnaire was developed by a task-force with members from different disciplines. It was founded on theoretical considerations of how social robots could influence five different aspects of relatedness.Results:Three hundred thirty-nine people responded to the survey. Factor analysis of the ASOR yielded (...) a three-factor solution consisting of a total of 25 items: “ascription of mental capacities”, “ascription of socio-practical capacities”, and “ascription of socio-moral status”. This data was further triangulated with data from interviews (n = 10).Conclusion:the ASOR allows for assessment of three distinct facets of ascription of capacities to social robots and offers a new type of assessment of attitudes towards social robots. It appeared that ASOR not only assesses ascription of capacities to social robots but it also gauged overall positive attitudes towards social robots. (shrink)