While social robots bring new opportunities for education, they also come with moral challenges. Therefore, there is a need for moral guidelines for the responsible implementation of these robots. When developing such guidelines, it is important to include different stakeholder perspectives. Existing (qualitative) studies regarding these perspectives however mainly focus on single stakeholders. In this exploratory study, we examine and compare the attitudes of multiple stakeholders on the use of social robots in primary education, using a novel questionnaire that covers various aspects of moral issues mentioned in earlier studies. Furthermore, we also group the stakeholders based on similarities in attitudes and examine which socio-demographic characteristics influence these attitude types. Based on the results, we identify five distinct attitude profiles and show that the probability of belonging to a specific profile is affected by such characteristics as stakeholder type, age, education and income. Our results also indicate that social robots have the potential to be implemented in education in a morally responsible way that takes into account the attitudes of various stakeholders, although there are multiple moral issues that need to be addressed first. Finally, we present seven (practical) implications for a responsible application of social robots in education following from our results. These implications provide valuable insights into how social robots should be implemented
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Smart glasses were perceived to be potentially revolutionary for healthcare, however, there is only limited research on the acceptance and social implications of smart glasses in healthcare. This study aims to get a better insight into the theoretical foundations and the purpose was to identify themes regarding adoption, mediation, and the use of smart glasses from the perspective of healthcare professionals. A qualitative research design with focus groups was used to collect data. Three focus groups with 22 participants were conducted. Data were analyzed using content analysis. Our analysis revealed six overarching themes related to the anticipated adoption of smart glasses: knowledge, innovativeness, use cases, ethical issues, persuasion, and attitude. Nine themes were found related to anticipated mediation and use of smart glasses: attention, emotions, social influences, design, context, camera use, risks, comparisons to known products, and expected reaction and might influence the acceptance of smart glasses.
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Smart glasses were perceived to be potentially revolutionary for healthcare, however, there is only limited research on the acceptance and social implications of smart glasses in healthcare. This study aims to get a better insight into the theoretical foundations and the purpose was to identify themes regarding adoption, mediation, and the use of smart glasses from the perspective of healthcare professionals. A qualitative research design with focus groups was used to collect data. Three focus groups with 22 participants were conducted. Data were analyzed using content analysis. Our analysis revealed six overarching themes related to the anticipated adoption of smart glasses: knowledge, innovativeness, use cases, ethical issues, persuasion, and attitude. Nine themes were found related to anticipated mediation and use of smart glasses: attention, emotions, social influences, design, context, camera use, risks, comparisons to known products, and expected reaction and might influence the acceptance of smart glasses.
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The ELSA AI lab Northern Netherlands (ELSA-NN) is committed to the promotion of healthy living, working and ageing. By investigating cultural, ethical, legal, socio-political, and psychological aspects of the use of AI in different decision-makingcontexts and integrating this knowledge into an online ELSA tool, ELSA-NN aims to contribute to knowledge about trustworthy human-centric AI and development and implementation of health technology innovations, including AI, in theNorthern region.The research in ELSA-NN will focus on developing and mapping ELSA knowledge around three general concepts of importance for the development, monitoring and implementation of trustworthy and human-centric AI: availability, use,and performance. These concepts will be explored in two lines of research: 1) use case research investigating the use of different AI applications with different types of data in different decision-making contexts at different time periods duringthe life course, and 2) an exploration among stakeholders in the Northern region of needs, knowledge, (digital) health literacy, attitudes and values concerning the use of AI in decision-making for healthy living, working and ageing. Specificfocus will be on investigating low social economic status (SES) perspectives, since health disparities between high and low SES groups are growing world-wide, including in the Northern region and existing health inequalities may increase with theintroduction and use of innovative health technologies such as AI.ELSA-NN will be integrated within the AI hub Northern-Netherlands, the Health Technology Research & Innovation Cluster (HTRIC) and the Data Science Center in Health (DASH). They offer a solid base and infrastructure for the ELSA-NNconsortium, which will be extended with additional partners, especially patient/citizens, private, governmental and researchrepresentatives, to have a quadruple-helix consortium. ELSA-NN will be set-up as a learning health system in which much attention will be paid to dialogue, communication and education.
De robot assistent is een nieuwe, veelbelovende technologie om docenten te ondersteunen en leerprestaties te verbeteren. Echter, een moreel kader voor een aanvaardbare inzet van zulke robots mist nog.Doel Het doel van dit project is, het creëren van een richtlijn, in samenwerking met stakeholders, voor het toepassen van robots in het basisonderwijs op een moreel verantwoorde manier. Resultaten Het hoofddoel van dit project is het creëren van een richtlijn voor het moreel verantwoord toepassen van sociale robots in het Nederlandse basisonderwijs. Deze richtlijn kan worden gebruikt door alle belangrijke belanghebbenden, zoals leraren, robotbedrijven en schoolbesturen, bij het nemen van beslissingen over het ontwerpen, bouwen en toepassen van sociale robots. Looptijd 01 november 2017 - 01 november 2021 Aanpak Dit project maakt gebruik van de Value Sensitive Design Methodology. Ten eerste voeren we een grootschalig systematisch literatuuronderzoek uit om de relevante morele waarden te identificeren. Daarna houden we focusgroepsessies met belanghebbenden om deze waarden verder te conceptualiseren. Op basis van de focusgroepsessies zullen we een enquête ontwikkelen om kwantitatieve gegevens over de stakeholderperspectieven te verkrijgen. Deze onderzoeken vormen de basis voor de richtlijnen. Extra informatie Stel je voor: een robot die de leerkracht helpt in de klas. Interview met Matthijs Smakman voor De Nationale Wetenschapsagenda (NWA) Relevantie Bijdrage aan de wetenschap Meerdere studies benadrukken de dringende behoefte aan ethische reflectie en richtlijnen voor robotleraren en theoretisch integratie van de tot dusver bekende, gefragmenteerde resultaten. Dit promotieonderzoek beoogt dit te doen door het ontwikkelen van een nieuwe moraaltheorie over de ethische opvattingen die verbonden zijn aan de implementatie van robotleraren, en test de theoretische aannames empirisch. De resultaten zullen worden verspreid op wetenschappelijke conferenties, debatten en in tijdschriftpublicaties. Bijdrage aan de samenleving De angst en implicaties van intelligente robots die banen overnemen, maakt deel uit van een internationaal debat (Brynjolfsson & McAfree, 2016) en zal een grote impact hebben op de taken van docenten. Robotleraren zijn een perfecte kandidaat om te helpen leraren in hun toenemende werkdruk. Er moet echter voorzichtig worden omgegaan met het introduceren van robotleraren in het klas. Dit doctoraatsonderzoek erkent de morele overwegingen en zorgt voor de nodige theoretische basis om een richtlijn te ontwikkelen voor de implementatie van robotleraren op een moreel gepaste manier. De resultaten wordt via websites, videoclips en maatschappelijke debatten aan het publiek getoond. Co-financiering Dit onderzoek is gefinancierd door NWO, Promotiebeurs voor Leraren, projectnumer: 023.00.066 Aanvullende documenten en doorverwijzingen Publicaties Smakman, M.H.J.; Konijn, E.A.; Vogt, P.; Pankowska, P. Attitudes towards Social Robots in Education: Enthusiast, Practical, Troubled, Sceptic, and Mindfully Positive. Robotics 2021, 10, 24. https://doi.org/10.3390/robotics10010024 Smakman, M., Berket, J., Konijn, E. A. (2020, October). The Impact of Social Robots in Education: Moral Considerations of Dutch Educational Policymakers. In 2020 29th IEEE International Conference on Robot and Human Interactive Communication (RO-MAN) (pp. 647-652). IEEE. Van Ewijk, G., Smakman, M., & Konijn, E. A. (2020, June). Teacher's perspectives on social robots in education: an exploratory case study. In Proceedings of the Interaction Design and Children Conference (pp. 273-280). Konijn, E.A., Smakman, M. & van den Berghe, R. (2020). Use of Robots in Education. In: van den Bulck, J., Sharrer, E., Ewoldsen, D. & Mares, M-L. (Eds). The International Encyclopedia of Media Psychology. Wiley Publisher Smakman, M., Jansen, B., Leunen, J., & Konijn, E. (2020) Acceptable Social Robots in Education: A Value Sensitive Parent Perspective. In INTED2020 Proceedings (pp 7946-7953). Smakman M., Konijn E.A. (2020) Robot Tutors: Welcome or Ethically Questionable?. In: Merdan M., Lepuschitz W., Koppensteiner G., Balogh R., Obdržálek D. (eds) Robotics in Education. RiE 2019. Advances in Intelligent Systems and Computing, vol 1023. Springer, Cham Goudzwaard, M., Smakman, M., & Konijn, E. A. (2019). Robots are Good for Profit: A Business Perspective on Robots in Education. 2019 Joint IEEE 9th International Conference on Development and Learning and Epigenetic Robotics (ICDL- EpiRob), 54–60. https://doi.org/10.1109/DEVLRN.2019.8850726 Video Stel je voor: een robot die de leerkracht helpt in de klas
