Print Email Facebook Twitter Evaluation of feedback generated from agent-based social skills training systems Title Evaluation of feedback generated from agent-based social skills training systems: A qualitative analysis on the comprehensibility, usability, and improvement points of the generated feedback Author Ntasi, Nikola (TU Delft Electrical Engineering, Mathematics and Computer Science; TU Delft Interactive Intelligence) Contributor Brinkman, W.P. (mentor) Al Owayyed, M. (mentor) Eisemann, E. (graduation committee) Degree granting institution Delft University of Technology Programme Computer Science and Engineering Project CSE3000 Research Project Date 2023-07-03 Abstract Chatbots are tools that can potentially be utilized in chat-based child helpline training. In this type of training, the quality of the feedback received is of vital importance. This paper aims to analyze the automated feedback generated by such a chatbot. The domains analyzed include user comprehension, usefulness, and potential improvement points. In a user study, a formative assessment and two interviews were conducted for each domain, respectively.For comprehensibility, all participants could easily understand the feedback report. They found that the bot could be easier to work around after reading the feedback, with the table being of much guidance. They found the transcript to be a welcome addition, but missing constructive feedback. Regarding improvement points, two of them were tightly related to the limitations of the chatbot, rather than the report itself. Extra guidance and instructions were deemed necessary by the participants, alongside an easier-to-read transcript interface. Subject Chatbotfeedback evaluationfeedback reportEvaluation To reference this document use: http://resolver.tudelft.nl/uuid:6ffeb7c6-8b92-443d-b45c-452ce528d7ac Related dataset 4TU.ResearchData https://doi.org/10.4121/85110f4b-40e1-4567-9f6e-e97c6337ad92 Part of collection Student theses Document type bachelor thesis Rights © 2023 Nikola Ntasi Files PDF final_paper.pdf 1.18 MB Close viewer /islandora/object/uuid:6ffeb7c6-8b92-443d-b45c-452ce528d7ac/datastream/OBJ/view