Automatically detecting task unrelated thoughts during conversations using keystroke analysis
| dc.contributor.author | Kuvar, Vishal Kiran, author | |
| dc.contributor.author | Blanchard, Nathaniel, advisor | |
| dc.contributor.author | Mills, Caitlin, advisor | |
| dc.contributor.author | Ben-Hur, Asa, committee member | |
| dc.contributor.author | Zhou, Wen, committee member | |
| dc.date.accessioned | 2022-08-29T10:16:12Z | |
| dc.date.available | 2023-08-22T10:16:12Z | |
| dc.date.issued | 2022 | |
| dc.description.abstract | Task-unrelated thought (TUT), commonly known as the phenomenon of daydreaming or zoning- out, is a mental state where a person's attention moves away from the task-at-hand to self-generated thoughts. This state is extremely common yet not much is known about it during dyadic interactions. We built a model to detect when a person experiences TUTs while talking to another person through a chat platform, by analyzing their keystroke patterns. This model was able to differentiate between task-unrelated thoughts and task-related thoughts with a kappa of 0.343. This serves as a strong indicator that typing behavior is linked with mental states, task-unrelated thoughts in our case. | |
| dc.format.medium | born digital | |
| dc.format.medium | masters theses | |
| dc.identifier | Kuvar_colostate_0053N_17369.pdf | |
| dc.identifier.uri | https://hdl.handle.net/10217/235626 | |
| dc.language | English | |
| dc.language.iso | eng | |
| dc.publisher | Colorado State University. Libraries | |
| dc.relation.ispartof | 2020- | |
| dc.rights | Copyright and other restrictions may apply. User is responsible for compliance with all applicable laws. For information about copyright law, please see https://libguides.colostate.edu/copyright. | |
| dc.subject | keystrokes | |
| dc.subject | mind wandering | |
| dc.subject | affective computing | |
| dc.subject | task unrelated thought | |
| dc.subject | machine learning | |
| dc.title | Automatically detecting task unrelated thoughts during conversations using keystroke analysis | |
| dc.type | Text | |
| dcterms.embargo.expires | 2023-08-22 | |
| dcterms.embargo.terms | 2023-08-22 | |
| dcterms.rights.dpla | This Item is protected by copyright and/or related rights (https://rightsstatements.org/vocab/InC/1.0/). You are free to use this Item in any way that is permitted by the copyright and related rights legislation that applies to your use. For other uses you need to obtain permission from the rights-holder(s). | |
| thesis.degree.discipline | Computer Science | |
| thesis.degree.grantor | Colorado State University | |
| thesis.degree.level | Masters | |
| thesis.degree.name | Master of Science (M.S.) |
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