Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity
Emergency situations promote risk-taking behaviors associated with anxiety reactivity. A previous study using the Iowa Gambling Task (IGT) has demonstrated that prespecified state anxiety predicts moderate risk-taking (middle-risk/high-return) after salient penalty events under temporal pressure and...
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MDPI AG
2021-08-01
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Online Access: | https://www.mdpi.com/2076-3425/11/9/1122 |
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author | Takahiro Soshi Mitsue Nagamine Emiko Fukuda Ai Takeuchi |
author_facet | Takahiro Soshi Mitsue Nagamine Emiko Fukuda Ai Takeuchi |
author_sort | Takahiro Soshi |
collection | DOAJ |
description | Emergency situations promote risk-taking behaviors associated with anxiety reactivity. A previous study using the Iowa Gambling Task (IGT) has demonstrated that prespecified state anxiety predicts moderate risk-taking (middle-risk/high-return) after salient penalty events under temporal pressure and information ambiguity. Such moderate risk-taking can be used as a behavioral background in the case of fraud damage. We conducted two psychophysiological experiments using the IGT and used a psychophysiological modeling approach to examine how moderate risk-taking under temporal pressure and information ambiguity is associated with automatic physiological responses, such as a skin conductance response (SCR). The first experiment created template SCR functions under concurrent temporal pressure and information ambiguity. The second experiment produced a convolution model using the SCR functions and fitted the model to the SCR time series recorded under temporal pressure and no temporal pressure, respectively. We also collected the participants’ anxiety profiles before the IGT experiment. The first finding indicated that participants with higher state anxiety scores yielded better model fitting (that is, event-related physiological responses) under temporal pressure. The second finding demonstrated that participants with better model fitting made consecutive Deck A selections under temporal pressure more frequently. In summary, a psychophysiological modeling approach is effective for capturing overlapping SCRs and moderate risk-taking under concurrent temporal pressure and information ambiguity is associated with automatic physiological and emotional reactivity. |
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issn | 2076-3425 |
language | English |
last_indexed | 2024-03-10T07:50:59Z |
publishDate | 2021-08-01 |
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series | Brain Sciences |
spelling | doaj.art-26cdb597d4134f73bd18d9db431035aa2023-11-22T12:13:25ZengMDPI AGBrain Sciences2076-34252021-08-01119112210.3390/brainsci11091122Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information AmbiguityTakahiro Soshi0Mitsue Nagamine1Emiko Fukuda2Ai Takeuchi3Department of Community Mental Health and Law, National Institute of Mental Health, National Center of Neurology and Psychiatry, 4-1-1 Ogawa-higashi-cho, Kodaira, Tokyo 187-8553, JapanInstitute for Liberal Arts, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8550, JapanDepartment of Industrial Engineering and Economics, School of Engineering, Tokyo Institute of Technology, 2-12-1 Ookayama, Meguro-ku, Tokyo 152-8552, JapanDepartment of Economics, Ritsumeikan University, 1-1-1 Nojihigashi, Kusatsu, Shiga 525-0058, JapanEmergency situations promote risk-taking behaviors associated with anxiety reactivity. A previous study using the Iowa Gambling Task (IGT) has demonstrated that prespecified state anxiety predicts moderate risk-taking (middle-risk/high-return) after salient penalty events under temporal pressure and information ambiguity. Such moderate risk-taking can be used as a behavioral background in the case of fraud damage. We conducted two psychophysiological experiments using the IGT and used a psychophysiological modeling approach to examine how moderate risk-taking under temporal pressure and information ambiguity is associated with automatic physiological responses, such as a skin conductance response (SCR). The first experiment created template SCR functions under concurrent temporal pressure and information ambiguity. The second experiment produced a convolution model using the SCR functions and fitted the model to the SCR time series recorded under temporal pressure and no temporal pressure, respectively. We also collected the participants’ anxiety profiles before the IGT experiment. The first finding indicated that participants with higher state anxiety scores yielded better model fitting (that is, event-related physiological responses) under temporal pressure. The second finding demonstrated that participants with better model fitting made consecutive Deck A selections under temporal pressure more frequently. In summary, a psychophysiological modeling approach is effective for capturing overlapping SCRs and moderate risk-taking under concurrent temporal pressure and information ambiguity is associated with automatic physiological and emotional reactivity.https://www.mdpi.com/2076-3425/11/9/1122decision-makingtemporal pressureinformation ambiguityanxietyskin conductance responsepsychophysiological modeling |
spellingShingle | Takahiro Soshi Mitsue Nagamine Emiko Fukuda Ai Takeuchi Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity Brain Sciences decision-making temporal pressure information ambiguity anxiety skin conductance response psychophysiological modeling |
title | Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity |
title_full | Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity |
title_fullStr | Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity |
title_full_unstemmed | Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity |
title_short | Modeling Skin Conductance Response Time Series during Consecutive Rapid Decision-Making under Concurrent Temporal Pressure and Information Ambiguity |
title_sort | modeling skin conductance response time series during consecutive rapid decision making under concurrent temporal pressure and information ambiguity |
topic | decision-making temporal pressure information ambiguity anxiety skin conductance response psychophysiological modeling |
url | https://www.mdpi.com/2076-3425/11/9/1122 |
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