2026-05-14T09:28:44Z https://api.figshare.com/v2/oai

oai:figshare.com:article/23277284 2023-06-06T12:44:26Z category_29056 portal_549 item_type_3 month_year_06_2023

10.5522/04/23277284.v1 https://figshare.com/articles/dataset/Chatbot_as_Advisers_dataset/23277284 https://ndownloader.figshare.com/files/41027729 https://ndownloader.figshare.com/files/41027732 10.1145/3571884.3597132 Milana, Federico Federico Milana 0009-0000-8890-268X Costanza, Enrico Enrico Costanza Fischer, Joel E. Joel E. Fischer Human-computer interaction Chatbot Trust user interface design considerations User Study 2023-06-06 2023-06-06 Dataset 2023 University College London A dataset from an online studies on a simulated social trading platform using a chatbot to give participants advice on investment. 64 participants interacted with a chatbot across 4 conditions: human-like/not human-like, and with reply suggestion buttons/without reply suggestion buttons embedded in the user interface. They were shown 10 different portfolios to follow or unfollow at 5 separate month intervals, basing their decision on the advice of the chatbot or a separate news feed that would try to predict the next change in portfolio value. Participants were assigned an initial virtual balance of £1000. Image tagging was included as a distracting secondary task. All the messages exchanged to and from the chatbot are included, as well as the user actions and image tagging. Participant demographic data included in a separate file.

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