ArticleFrontiers in human neuroscience2016
Advice Taking from Humans and Machines: An fMRI and Effective Connectivity Study.
Article in Frontiers in human neuroscience, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
15 citing papers in PubMed.
- Article
- Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task.Scientific reports · 2024Article
- The subcortical brain regions influence the cortical areas during resting-state: an fMRI study.Frontiers in human neuroscience · 2024Article
- Social relationship modulates advisor's brain response to advice-giving outcome evaluation: Evidence from an event-related potential study.Frontiers in neuroscience · 2022Article
- Misleading Robot Signals in a Classification Task Induce Cognitive Load as Measured by Theta Synchronization Between Frontal and Temporo-parietal Brain Regions.Frontiers in neuroergonomics · 2022Article
- I, robot: depression plays different roles in human-human and human-robot interactions.Translational psychiatry · 2021Article
- In search of a Goldilocks zone for credible AI.Scientific reports · 2021Article
- Measurement of Trust in Automation: A Narrative Review and Reference Guide.Frontiers in psychology · 2021Review
- Neural Correlates of Trust in Automation: Considerations and Generalizability Between Technology Domains.Frontiers in neuroergonomics · 2021Review
- Model-based whole-brain effective connectivity to study distributed cognition in health and disease.Network neuroscience (Cambridge, Mass.) · 2020Article
- The computational basis of following advice in adolescents.Journal of experimental child psychology · 2019Article
- Increasing robustness of pairwise methods for effective connectivity in magnetic resonance imaging by using fractional moment series of BOLD signal distributions.Network neuroscience (Cambridge, Mass.) · 2019Article
- Disentangling causal webs in the brain using functional magnetic resonance imaging: A review of current approaches.Network neuroscience (Cambridge, Mass.) · 2019Review
- Learning From the Slips of Others: Neural Correlates of Trust in Automated Agents.Frontiers in human neuroscience · 2018Article
- The impact of hemodynamic variability and signal mixing on the identifiability of effective connectivity structures in BOLD fMRI.Brain and behavior · 2017Article
Corrections and comments
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Authors and funding
6 authors.
Funding
Abstract
With new technological advances, advice can come from different sources such as machines or humans, but how individuals respond to such advice and the neural correlates involved need to be better understood. We combined functional MRI and multivariate Granger causality analysis with an X-ray luggage-screening task to investigate the neural basis and corresponding effective connectivity involved with advice utilization from agents framed as experts. Participants were asked to accept or reject good or bad advice from a human or machine agent with low reliability (high false alarm rate). We showed that unreliable advice decreased performance overall and participants interacting with the human agent had a greater depreciation of advice utilization during bad advice compared to the machine agent. These differences in advice utilization can be perceivably due to reevaluation of expectations arising from association of dispositional credibility for each agent. We demonstrated that differences in advice utilization engaged brain regions that may be associated with evaluation of personal characteristics and traits (precuneus, posterior cingulate cortex, temporoparietal junction) and interoception (posterior insula). We found that the right posterior insula and left precuneus were the drivers of the advice utilization network that were reciprocally connected to each other and also projected to all other regions. Our behavioral and neuroimaging results have significant implications for society because of progressions in technology and increased interactions with machines.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.