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Exploring Initial Interactions: High School Students and Generative AI Chatbots for Relationship Development

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Gesellschaft für Informatik e.V.


This paper aims to provide recommendations for tech companies on promoting a positive student-AI relationship in high school settings, ensuring responsible and beneficial use of AI tools. The study explores the design considerations necessary to address concerns of overreliance and diminished critical thinking skills while harnessing the benefits of AI in education. By conducting a two-day study involving qualitative analysis of data from various sources, including word clouds, scale responses, group activities, chatbot interactions, interviews, and assignments, the research identifies common themes and perceptions. These insights lead to the generation of five need-based personas that represent student preferences and needs. The findings emphasize the importance of personalizing chatbot experiences based on individual student requirements and fostering positive attitudes towards AI adoption. The study highlights the need to address skeptical students and design chatbots that emulate supportive friends, enhancing engagement and trust. The conclusions provide actionable recommendations for tech companies to design AI-powered chatbots that facilitate personalized learning experiences and foster meaningful relationships in high school settings. By addressing the research aim, this study contributes to the development of effective strategies for promoting responsible and beneficial use of AI tools in education.


Krullaars, Zion Hannah; Januardani, Adinda; Zhou, Lin; Jonkers, Eva (2023): Exploring Initial Interactions: High School Students and Generative AI Chatbots for Relationship Development. Mensch und Computer 2023 - Workshopband. DOI: 10.18420/muc2023-mci-src-415. Bonn: Gesellschaft für Informatik e.V.. MCI: Student Research Competition. Rapperswil. 3.-6. September 2023