Author | Conrad, Colin D.; Klesel, Michael; Mayhew, Kydra; O’Neil, Kiera; Oschinsky, Frederike Marie; Usai, Francesco |
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Date | 2022 |
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Type | Conference Paper |
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Abstract | Mind wandering could have a variety of impacts on information systems phenomena, not least long monotonous tasks. Unfortunately, mind wandering states are difficult to measure objectively. In this paper, we describe work-in-progress to address this problem in a novel way. We describe two studies that will observe participants’ ability to detect errors in a task as a correlate of mind wandering. Demonstrating the technique using a lecture paradigm, the studies employ previously investigated methods of measuring mind wandering as a baseline for the new technique. If successful, we will demonstrate a new method for measuring mind wandering that can be applicable to a broad range of information systems and psychological studies. |
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Conference | Conference "NeuroIS Retreat" 2022 |
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Url | https://publica.fraunhofer.de/handle/publica/443247 |
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