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Auflistung nach Autor:in "Kubullek, Ann-Kathrin"

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  • Konferenzbeitrag
    Creating Accessibility 2.0 with Artificial Intelligence
    (Mensch und Computer 2023 - Tagungsband, 2023) Kubullek, Ann-Kathrin; Dogangün, Aysegül
    Despite the fact that artificial intelligence (AI) has existed for many years, for the first time it managed to attract the attention of the mainstream media. Since the release of the chatbot system "ChatGPT" by OpenAI in November 2022 the hype and interest in AI has increased significantly, not only in research but also among the general public. As a result, the question arises which specific application areas and target groups can benefit from artificial intelligence in the future. This article provides an overview of the use of artificial intelligence in creating accessibility. For this purpose, various aspects are considered on how AI technologies can contribute to removing barriers for people with disabilities and enable them to participate equally in social life. The aim of this paper is to highlight the potentials and challenges of uniting AI and accessibility. It discusses the contribution that artificial intelligence can make to closing the gap between technology and accessibility. Finally, a concept idea for the creation of a new kind of accessibility, the so-called Accessibility 2.0, is proposed.
  • Konferenzbeitrag
    The Impact of Explanation Detail in Advanced Driver Assistance Systems: User Experience, Acceptance, and Age-related Effects
    (Mensch und Computer 2023 - Tagungsband, 2023) Hermann, Julia; Nierobisch, Niels; Arndt, Robin; Kubullek, Ann-Kathrin; van Ledden, Sebastian; Dogangün, Aysegül
    User understanding and confidence are critical in the context of advanced intelligent driver assistance systems (ADAS) to ensure the desired response and prevent manual countersteering during automated maneuvers. However, the interventions of advanced ADAS can sometimes be unexpected and disruptive to drivers, especially when the reasons are unclear. In our study, we investigated the effects of differently presented explanations provided by a driver assistance system. We presented participants with three scenarios from the driver’s perspective and created two videos for each scenario with explanations of varying detail. Participants were asked to answer two questionnaires following each video. The results show that more detailed explanations generally lead to a better user experience and higher confidence in the system’s performance. We also discuss the possible influence of age and technology acceptance in our article.
  • Konferenzbeitrag
    Understanding the Adoption of ChatGPT in Higher Education: A Comparative Study with Insights from STEM and Business Students
    (Proceedings of Mensch und Computer 2024, 2024) Kubullek, Ann-Kathrin; Kumaç, Nadire; Dogangün, Aysegül
    Since ChatGPT’s introduction, generative artificial intelligence (AI) has significantly influenced the media, technological innovation, and educational discourse. Its increasing importance, especially in academia, necessitates a detailed examination of the impact of AI on higher education, particularly on how it changes teaching and learning processes. This study therefore looks at the factors affecting students’ attitudes towards AI technologies in the university setting, with a particular focus on the differences between business and STEM programmes. Using a mixed methods approach, the study combines surveys and interviews to collect data on students’ perceptions, attitudes and experiences with generative AI technology in academia. The data collected is analysed both quantitatively and qualitatively to reveal significant trends and insights into the adoption and use of generative AI tools in the university environment. The main objective of the study is to shed light on the determinants that determine the varying degrees of AI adoption in different academic disciplines. The findings have the potential to inform the implementation of educational technology and assist in the development of strategies for the effective integration of generative AI tools to meet the different needs and preferences of students in a range of academic contexts.