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Automatically detecting task-unrelated thoughts during conversations using keystroke analysis
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DOI：10.1007/s11257-022-09340-z.png)
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摘要
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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.
Keyword:
Task-unrelated thought
Keystrokes
Machine learning
Affective computing
Mind wandering
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3.5
论文数:
535
被引数:
1.7K
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