Veröffentlichungen

@inproceedings{10.1145/3706599.3720278,

title = {Prompt it Colorful with Rainbow Bot: Enhancing Video-Based Collaborative Learning by using a Multi-Party AI-Driven Chatbot},

author = {Andre Helgert and Latoya Weis and Carolin Strassmann},

url = {https://doi.org/10.1145/3706599.3720278},

doi = {10.1145/3706599.3720278},

isbn = {9798400713958},

year  = {2025},

date = {2025-01-01},

booktitle = {Proceedings of the Extended Abstracts of the CHI Conference on Human Factors in Computing Systems},

publisher = {Association for Computing Machinery},

address = {New York, NY, USA},

series = {CHI EA '25},

abstract = {Multi-party AI-driven chatbots remain largely unexplored, despite their potential to enhance internal communication and coordination within student learning groups. These benefits are increasingly feasible with the advent of large language models (LLMs), which enable more efficient content generation and chatbot customization. To bridge this gap, we carried out an exploratory study to examine students’ perceptions, practical applications, and concerns regarding the use of multi-party AI-driven chatbots in video-based collaborative learning environments. Based on the findings, we designed the Rainbow Bot, an optimized multi-party AI-driven chatbot. It features an interactive reflection process to strengthen group dynamics, customization options to adjust response length and content focus, and a unique color scheme for visual clarity. By combining colors from group members in refined prompts, Rainbow Bot fosters collaboration and promotes shared understanding within teams. Future work will assess its effectiveness in real educational settings, with a focus on its impact on group dynamics and collaborative learning outcomes.},

keywords = {AI-driven chatbots, Artifical Intelligence, Chatbot, Collaborative Learning, Higher Education, Multi-party AI-driven chatbots},

pubstate = {published},

tppubtype = {inproceedings}

}