Automatically detecting task-unrelated thoughts during conversations using keystroke analysis

Task-unrelated thought (TUT), commonly referred to as mind wandering, is a mental state where a person’s attention moves away from the task-at-hand. This state is extremely common, yet not much is known about how to measure it, especially during dyadic interactions. We thus built a model to detect w...

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Detalles Bibliográficos
Autores principales: Kuvar, Vishal, Blanchard, Nathaniel, Colby, Alexander, Allen, Laura, Mills, Caitlin
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Netherlands 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390119/
https://www.ncbi.nlm.nih.gov/pubmed/36033235
http://dx.doi.org/10.1007/s11257-022-09340-z
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author Kuvar, Vishal
Blanchard, Nathaniel
Colby, Alexander
Allen, Laura
Mills, Caitlin
author_facet Kuvar, Vishal
Blanchard, Nathaniel
Colby, Alexander
Allen, Laura
Mills, Caitlin
author_sort Kuvar, Vishal
collection PubMed
description Task-unrelated thought (TUT), commonly referred to as mind wandering, is a mental state where a person’s attention moves away from the task-at-hand. This state is extremely common, yet not much is known about how to measure it, especially during dyadic interactions. We thus built a model to detect when a person experiences TUTs while talking to another person through a computer-mediated conversation, using their keystroke patterns. The best model was able to differentiate between task-unrelated thoughts and task-related thoughts with a kappa of 0.363, using features extracted from a 15 second window. We also present a feature analysis to provide additional insights into how various typing behaviors can be linked to our ongoing mental states.
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spelling pubmed-93901192022-08-22 Automatically detecting task-unrelated thoughts during conversations using keystroke analysis Kuvar, Vishal Blanchard, Nathaniel Colby, Alexander Allen, Laura Mills, Caitlin User Model User-adapt Interact Article Task-unrelated thought (TUT), commonly referred to as mind wandering, is a mental state where a person’s attention moves away from the task-at-hand. This state is extremely common, yet not much is known about how to measure it, especially during dyadic interactions. We thus built a model to detect when a person experiences TUTs while talking to another person through a computer-mediated conversation, using their keystroke patterns. The best model was able to differentiate between task-unrelated thoughts and task-related thoughts with a kappa of 0.363, using features extracted from a 15 second window. We also present a feature analysis to provide additional insights into how various typing behaviors can be linked to our ongoing mental states. Springer Netherlands 2022-08-19 2023 /pmc/articles/PMC9390119/ /pubmed/36033235 http://dx.doi.org/10.1007/s11257-022-09340-z Text en © The Author(s), under exclusive licence to Springer Nature B.V. 2022, Springer Nature or its licensor holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. This article is made available via the PMC Open Access Subset for unrestricted research re-use and secondary analysis in any form or by any means with acknowledgement of the original source. These permissions are granted for the duration of the World Health Organization (WHO) declaration of COVID-19 as a global pandemic.
spellingShingle Article
Kuvar, Vishal
Blanchard, Nathaniel
Colby, Alexander
Allen, Laura
Mills, Caitlin
Automatically detecting task-unrelated thoughts during conversations using keystroke analysis
title Automatically detecting task-unrelated thoughts during conversations using keystroke analysis
title_full Automatically detecting task-unrelated thoughts during conversations using keystroke analysis
title_fullStr Automatically detecting task-unrelated thoughts during conversations using keystroke analysis
title_full_unstemmed Automatically detecting task-unrelated thoughts during conversations using keystroke analysis
title_short Automatically detecting task-unrelated thoughts during conversations using keystroke analysis
title_sort automatically detecting task-unrelated thoughts during conversations using keystroke analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9390119/
https://www.ncbi.nlm.nih.gov/pubmed/36033235
http://dx.doi.org/10.1007/s11257-022-09340-z
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