@InProceedings{Wolters2025_1256,
<br/>   author = {Maria K. Wolters and Tatjana Kukic and Stefan Hillmann},
<br/>   booktitle = {Studientexte zur Sprachkommunikation: Elektronische Sprachsignalverarbeitung 2025},
<br/>   title = {Adapting a student-facing chatbot to the needs of first generation students: a user experience study},
<br/>   year = {2025},
<br/>   editor = {Sven Grawunder},
<br/>   month = mar,
<br/>   pages = {223--230},
<br/>   publisher = {TUDpress, Dresden},
<br/>   abstract  = {First-generation students often face challenges in navigating university
structures due to a lack of familial academic experience. The presented study investigates the adaptation of the student-support chatbot CHATU to better serve
FGS at Technische Universität Berlin. In a two-stage evaluation, we first assessed
the usability and effectiveness of the existing CHATU chatbot with FGS participants, revealing below-average usability ratings in perspicuity and dependability,
as well as negative ratings in attractiveness, efficiency, stimulation, and novelty.
Based on these findings, we developed CHATU-RAG, integrating Generative AI
for improved interaction and adaptability. While perceived usability improved significantly, actual task success declined. User impression of the chatbot increased
substantially (p&lt;0.0005), highlighting the trade-offs between AI-driven interaction
improvements and reliable information retrieval in an academic support system.
},
<br/>   isbn = {978-3-95908-803-9},
<br/>   issn = {0940-6832},
<br/>   keywords = {Poster},
<br/>   url = {https://www.essv.de/pdf/2025_223_230.pdf},
<br/>}