ArticlePloS one2017
Emotional metacontrol of attention: Top-down modulation of sensorimotor processes in a robotic visual search task.
Article in PloS one, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- Oxytocin facilitates top-down and bottom-up attention to emotional faces in a general and temporal-dependent manner.Psychological medicine · 2026Trial
- Early musical training benefits to non-musical cognitive ability associated with the Gestalt principles.Frontiers in psychology · 2023Article
- Reinforcement Emotion-Cognition System: A Teaching Words Task.Computational intelligence and neuroscience · 2019Article
- A Failure to Launch: Regulatory Modes and Boredom Proneness.Frontiers in psychology · 2018Article
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Authors and funding
3 authors.
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No grant is acknowledged in the PubMed record.
Abstract
Emotions play a significant role in internal regulatory processes. In this paper, we advocate four key ideas. First, novelty detection can be grounded in the sensorimotor experience and allow higher order appraisal. Second, cognitive processes, such as those involved in self-assessment, influence emotional states by eliciting affects like boredom and frustration. Third, emotional processes such as those triggered by self-assessment influence attentional processes. Last, close emotion-cognition interactions implement an efficient feedback loop for the purpose of top-down behavior regulation. The latter is what we call 'Emotional Metacontrol'. We introduce a model based on artificial neural networks. This architecture is used to control a robotic system in a visual search task. The emotional metacontrol intervenes to bias the robot visual attention during active object recognition. Through a behavioral and statistical analysis, we show that this mechanism increases the robot performance and fosters the exploratory behavior to avoid deadlocks.
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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.