- Title
- How do information processing systems deal with conflicting information? Differential predictions for serial, parallel and coactive processing models
- Creator
- Little, Daniel R.; Eidels, Ami; Fifić, Mario; Wang, Tony S. L.
- Relation
- ARC.DP120103120 http://purl.org/au-research/grants/arc/DP120103120 | ARC|DP160102360 http://purl.org/au-research/grants/arc/DP160102360
- Relation
- Computational Brain & Behavior Vol. 1, Issue 1, p. 1-21
- Publisher Link
- http://dx.doi.org/10.1007/s42113-018-0001-9
- Publisher
- Springer
- Resource Type
- journal article
- Date
- 2018
- Description
- In this paper, we analyze how different information-processing architectures deal with conflicting information. A robust finding in psychological research is that response times are slower when processing conflicting sources of information (e.g., naming the color of the word RED when printed in green in the well-known Stroop task) than when processing congruent sources of information (e.g., naming the color of the word GREEN when printed in green). We suggest that the effect of conflicting information depends on the processing architectures and derive a new measure of information processing called the conflict contrast function, which is indicative of how different architectures perform with conflicts at different levels of salience. By varying the salience of the conflicting information source, we show that serial, parallel, and coactive information processing architectures predict qualitatively distinct conflict contrast functions. We provide new analyses of three previously collected data sets: a detection task with Stroop color-word stimuli and two categorization experiments. Our novel measure provides convergent evidence about the underlying processing architecture in the categorization tasks and surprising results in the Stroop detection task.
- Subject
- response time; information processing; serial; parallel; coactivation; conflict
- Identifier
- http://hdl.handle.net/1959.13/1405043
- Identifier
- uon:35430
- Identifier
- ISSN:2522-087X
- Rights
- This version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use, but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s42113-018-0001-9.
- Language
- eng
- Full Text
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