Data underlying the BSc thesis: Evaluating the Believability of the Lilobot Conversational Agent.
DOI:10.4121/d24f832f-748c-4ac7-ba7b-879637c6c64d.v1
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DOI: 10.4121/d24f832f-748c-4ac7-ba7b-879637c6c64d
DOI: 10.4121/d24f832f-748c-4ac7-ba7b-879637c6c64d
Datacite citation style:
Makarov, Vladimir (2023): Data underlying the BSc thesis: Evaluating the Believability of the Lilobot Conversational Agent. Version 1. 4TU.ResearchData. dataset. https://doi.org/10.4121/d24f832f-748c-4ac7-ba7b-879637c6c64d.v1
Other citation styles (APA, Harvard, MLA, Vancouver, Chicago, IEEE) available at Datacite
Dataset
The aim of this research is to evaluate the believability of Lilobot, a conversational agent meant to act as a virtual child for training helpline workers. Numerous aspects of believability are explored by means of a user study involving a questionnaire and interview with 10 participants. Botch questionnaire results and interview transcripts and analyses are included.
History
- 2023-06-23 first online, published, posted
Publisher
4TU.ResearchDataFormat
zipped archive with .xlsx and .csv and .pdf files inside. Also a README.txtOrganizations
TU Delft, Faculty of Electrical Engineering, Mathematics and Computer Science (EEMCS), Interactive Intelligence GroupDATA
Files (1)
- 754,344 bytesMD5:
0dfe26ca69af3fed383f8b1e35ccc7c8
believability dataset.zip