★A paper by Keiji Ota and colleagues on information reliability, decision-making, and metacognition was published in PLoS Computational Biology
A study by Assistant Professor Keiji Ota of ARIHHP, University of Tsukuba, and colleagues has been published in PLoS Computational Biology.
The study investigated how people make decisions based on information from sources with varying levels of reliability, and how accurately they recognise the influence of each source on their choices. Using behavioural experiments and computational modelling, the researchers found that people did not always incorporate explicitly stated source reliability appropriately into their decisions. In particular, even information from sources known to be uninformative influenced their choices. Interestingly, participants showed some metacognitive awareness of these biases, recognising that unreliable information had influenced their decisions.
In everyday life, we make decisions based on information from multiple sources, including social media, news, and online reviews, which differ in their reliability. These findings suggest that explicitly displaying information reliability may not be sufficient to prevent biased decisions, and that awareness of such biases does not necessarily eliminate their influence. The study provides potential implications for developing more effective ways of presenting information reliability.
The study investigated how people make decisions based on information from sources with varying levels of reliability, and how accurately they recognise the influence of each source on their choices. Using behavioural experiments and computational modelling, the researchers found that people did not always incorporate explicitly stated source reliability appropriately into their decisions. In particular, even information from sources known to be uninformative influenced their choices. Interestingly, participants showed some metacognitive awareness of these biases, recognising that unreliable information had influenced their decisions.
In everyday life, we make decisions based on information from multiple sources, including social media, news, and online reviews, which differ in their reliability. These findings suggest that explicitly displaying information reliability may not be sufficient to prevent biased decisions, and that awareness of such biases does not necessarily eliminate their influence. The study provides potential implications for developing more effective ways of presenting information reliability.
【Publication Information】
Title: How does explicit reliability guide choices? Effect of trustworthiness on choice and metacognition
Authors: Keiji Ota, Anthony Ciston, Patrick Haggard, Thibault Gajdos Preuss, & Lucie Charles
Journal: PLoS Computational Biology, 22(10), e1014818.
Published: October 9, 2026
DOI: 10.1371/journal.pcbi.1014818
Title: How does explicit reliability guide choices? Effect of trustworthiness on choice and metacognition
Authors: Keiji Ota, Anthony Ciston, Patrick Haggard, Thibault Gajdos Preuss, & Lucie Charles
Journal: PLoS Computational Biology, 22(10), e1014818.
Published: October 9, 2026
DOI: 10.1371/journal.pcbi.1014818
Original Article (PLoS Computational Biology)
How does explicit reliability guide choices? Effect of trustworthiness on choice and metacognition
How does explicit reliability guide choices? Effect of trustworthiness on choice and metacognition
