TY - JOUR A1 - Greiner, Christian A1 - Peisl, Thomas A1 - Höpfl, Felix A1 - Beese, Olivia T1 - Acceptance of AI in SemiStructured Decision-Making Situations Applying the Four-Sides Model of Communication—An Empirical Analysis Focused on Higher Education JF - Education Sciences N2 - This study investigates the impact of generative AI systems like ChatGPT on semi-structured decision-making, specifically in evaluating undergraduate dissertations. We propose using Davis’ technology acceptance model (TAM) and Schulz von Thun’s four-sides communication model to understand human–AI interaction and necessary adaptations for acceptance in dissertation grading. Utilizing an inductive research design, we conducted ten interviews with respondents having varying levels of AI and management expertise, employing four escalating-consequence scenarios mirroring higher education dissertation grading. In all scenarios, the AI functioned as a sender, based on the four-sides model. Findings reveal that technology acceptance for human–AI interaction is adaptive but requires modifications, particularly regarding AI’s transparency. Testing the four-sides model showed support for three sides, with the appeal side receiving negative feedback for AI acceptance as a sender. Respondents struggled to accept the idea of AI, suggesting a grading decision through an appeal. Consequently, transparency about AI’s role emerged as vital. When AI supports instructors transparently, acceptance levels are higher. These results encourage further research on AI as a receiver and the impartiality of AI decision-making without instructor influence. This study emphasizes communication modes in learning-ecosystems, especially in semi-structured decision-making situations with AI as a sender, while highlighting the potential to enhance AI-based decision-making acceptance. KW - AI as a sender KW - higher education KW - semi-structured decisions KW - four-sides model; technology acceptance model Y1 - 2023 U6 - https://doi.org/10.3390/educsci13090865 VL - 13 IS - 9 SP - 1 EP - 11 PB - MDPI CY - Basel, Schweiz ER - TY - JOUR A1 - Höpfl, Felix A1 - Peisl, Thomas A1 - Greiner, Christian T1 - Exploring stakeholder perspectives: Enhancing robot acceptance for sustainable healthcare solutions JF - Sustainable Technology and Entrepreneurship N2 - The pandemic has highlighted the fact that healthcare systems around the world are under pressure. Demographic change is leading to an increasing shortage of care workers in most countries, and the demographic challenge is only just beginning in most societies. While robots are widely used in industry, robotic support in healthcare is still limited to very specialized robots in the operating theatre. The question of what type of deployment is likely to be successful in a healthcare scenario is not only a technological or economical question but also one of technology acceptance. The answer to this question supports entrepreneurial opportunities to develop sustainable healthcare solutions. In this paper, we analyze the acceptance of robots in elderly care from the perspective of patients, patient families, and geriatric care professionals. To understand the various positions and to identify the suitability of existing acceptance models, we applied stakeholder mapping to conduct qualitative interviews with 14 people with different knowledge backgrounds and levels of involvement in care situations, based on 9 videos showing different robots and application scenarios. The results confirmed that existing technology acceptance models need to be extended by factors such as robot appearance. We found that the background knowledge of the respondents influences the results of the questions about e.g. safety concerns. In addition, we found that the contribution to patients' self-determination and independence is an important factor that is not included in existing technology acceptance models. Finally, the discovery of a significant discrepancy between the self-perception and the external perception of the different stakeholders regarding the acceptance of a service robot can be explained by the stakeholder positions involved in caring for the benefit of a specific patient. These findings encourage further research, especially with the underlying assumption that technology acceptance in healthcare is not just a patient issue, but a stakeholder issue. Stakeholder mapping is a valid tool to analyze the interdependencies for the acceptance of robots. Therefore, we suggest using a tool such as stakeholder mapping to further analyze these issues. KW - Technology acceptance KW - Robot acceptance KW - Stakeholder mapping KW - Geriatrics Y1 - 2023 U6 - https://doi.org/10.1016/j.stae.2023.100045 VL - 2 IS - 3 SP - 100045 ER - TY - GEN A1 - Höpfl, Felix ED - Höpfl, Felix T1 - Ideenwerkstatt: KI in der Hochschullehre - Persona-Konzept mit bildgebender KI in der Vorlesung N2 - Beitrag zur Ideenwerkstatt Hochschullehre der Virtuellen Hochschule Bayern (VHB) zum Themenkomplex "KI in der Hochschullehre". Gegenstan des Beitrages ist die Verwendung bildgebender KI im unmittelbaren Unterrichtsgeschehen in dem ein Persona-Konzept (Design-Thinking) durch ein KI-generiertes Porträt persönlicher und wirksamer wird. Die Veranstaltung fand am 29.02.2024 online im Rahmen des bundesweiten Projekts "Konzertierte Weiterbildungen zu künstlicher Intelligenz in der Hochschullehre" des Netzwerks Landeseinrichtungen für digitale Hochschullehre (NeL) statt und wurde von der Stiftung Innovation in der Hochschullehre gefördert. Das Video kann auch auf Youtube abgerufen werden: https://youtu.be/JCaUWryiEjs KW - Künstliche Intelligenz, Hochschullehre, Persona, Design-Thinking KW - KI; Persona; Design-Thinking Y1 - 2024 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:861-opus4-23833 SP - 1 EP - 13 ER -