Unpacking stereotype influences on source-monitoring processes: What mouse tracking can tell us.

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Date: Mar. 2020
Publisher: Elsevier B.V.
Document Type: Report; Author abstract
Length: 479 words

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Keywords Process tracing; Mouse tracking; Source monitoring; Social categorization Abstract The goal of this study was to understand the cognitive dynamics of stereotype influences on source monitoring employing mouse tracking. By continuously recording cursor movements, we examined how stereotypical knowledge influences decision uncertainty when processing and later remembering stereotype-consistent and -inconsistent exemplars of the age categories of "young" and "old". In a source-monitoring task, participants (N = 60) learned age-stereotype consistent or -inconsistent statements from two different-aged sources (young vs. old person) that they attributed to their original sources via mouse clicks in a later memory test. Our results showed that individuals experienced cognitive conflict during source attributions depending on both the correctness of the source response and whether the original source was (in)consistent with the stereotype of the respective age group reflected in the statement. This pattern of results was supplemented by the analysis of prototypical mouse-trajectory clusters. Modeling individual source-monitoring processes revealed that individuals' experienced conflict was less pronounced when they remembered the source and was unrelated to guessing resulting from memory failure. These results highlight the benefits of combining cognitive modeling and process-tracing techniques to unpack the mechanisms behind social influences on source monitoring. The methodology of mouse tracking illuminated the role of stereotypes in the underlying cognitive processes during source attributions that is not evident from discrete categorical responses. For designed counter-stereotypical interventions, process-tracing methods may also be used to test their effectiveness on cognitive processes involved in source monitoring. Author Affiliation: (a) Department of Psychology, School of Social Sciences, University of Mannheim, Germany (b) Social Cognition Center Cologne, University of Cologne, Germany * Corresponding author at: Corresponding author at: Department of Psychology, School of Social Sciences, University of Mannheim, L13, 15, Room 321, Mannheim D-68161, Germany. Article History: Received 29 January 2019; Revised 5 November 2019; Accepted 6 November 2019 (footnote)[white star] The research reported in this article was supported by the University of Mannheim's Graduate School of Economic and Social Sciences. Parts of this research were presented at the 2018 59th Annual Meeting of the Psychonomic Society in New Orleans, USA. Data and analyses can be retrieved from OSF: https://osf.io/85936/?view_only=214fa149e30748cbbd07852c43fab419. We thank Pascal Kieslich for helpful advice on the analysis of mouse-tracking data, Beatrice G. Kuhlmann for detailed comments on the research idea and an earlier draft of this manuscript, and Daniel W. Heck for assistance with Bayesian hierarchical multinomial processing tree modeling. We thank Mary Frame and Britt Bolin for their diligent proofreading of the manuscript. We thank Theresa Pfeiffer and Jennifer Panitz for their assistance with the data collection. We thank two anonymous reviewers for their comments on an earlier draft of this manuscript. We affirm that in case the article is published we will share data on request for scientific purposes, and retain the raw data for five years after publication. Byline: Liliane Wulff [wulff@psychologie.uni-mannheim.de] (a), Sophie E. Scharf (a,b)

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Gale Document Number: GALE|A611965346