Dynamics of the knowledge instinct: Effects of incoherence on the cognitive system

Schoeller, Félix; Eskinazi, Mickael; Garreau, Damien

doi:10.1016/j.cogsys.2017.07.005

Cited by 14 publications

(18 citation statements)

References 40 publications

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“…This account is coherent with current accounts of emotional valence in terms of error dynamics 46 , 47 . Crucially, and even though their prevalence across human populations is still an open question, psychogenic shivers seem to present a high degree of universality, making them a useful somatic marker for affective neuroscience in light of their myriad emotional links 38 , 43 , 44 , 48 , 49 .…”

Section: Introductionmentioning

confidence: 99%

Augmenting aesthetic chills using a wearable prosthesis improves their downstream effects on reward and social cognition

Haar

Jain

Schoeller

et al. 2020

Sci Rep

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Previous studies on aesthetic chills (i.e., psychogenic shivers) demonstrate their positive effects on stress, pleasure, and social cognition. We tested whether we could artificially enhance this emotion and its downstream effects by intervening on its somatic markers using wearable technology. We built a device generating cold and vibrotactile sensations down the spine of subjects in temporal conjunction with a chill-eliciting audiovisual stimulus, enhancing the somatosensation of cold underlying aesthetic chills. Results suggest that participants wearing the device experienced significantly more chills, and chills of greater intensity. Further, these subjects reported sharing the feelings expressed in the stimulus to a greater degree, and felt more pleasure during the experience. These preliminary results demonstrate that emotion prosthetics and somatosensory interfaces offer new possibilities of modulating human emotions from the bottom-up (body to mind). Future challenges will include testing the device on a larger sample and diversifying the type of stimuli to account for negatively valenced chills and intercultural differences. Interoceptive technologies offer a new paradigm for affective neuroscience, allowing controlled intervention on conscious feelings and their downstream effects on higher-order cognition.

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Section: Introductionmentioning

confidence: 99%

Augmenting aesthetic chills using a wearable prosthesis improves their downstream effects on reward and social cognition

Haar

Jain

Schoeller

et al. 2020

Sci Rep

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“…Change in the rate at which error is being resolved manifests for humans as emotional valence–we feel good when error is being reduced at a better than expected rate, and we feel bad when error is unexpectedly on the rise ( Joffily and Coricelli, 2013 ; Schoeller, 2015 , 2017 ; Schoeller and Perlovsky, 2016 ; Schoeller et al, 2017 ; Van de Cruys, 2017 ; Kiverstein et al, 2019 ; Perlovsky and Schoeller, 2019 ; Wilkinson et al, 2019 ; Nave et al, 2020 ). Valence systems provide the agent with a domain general controller capable of tracking changes in error managements and adjusting precision expectations relative to those changes ( Kiverstein et al, 2019 ; Hesp et al, 2021 ).…”

Section: Surprise Minimizing Agentsmentioning

confidence: 99%

Trust as Extended Control: Human-Machine Interactions as Active Inference

Schoeller

Miller

Salomon

et al. 2021

Front. Syst. Neurosci.

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In order to interact seamlessly with robots, users must infer the causes of a robot’s behavior–and be confident about that inference (and its predictions). Hence, trust is a necessary condition for human-robot collaboration (HRC). However, and despite its crucial role, it is still largely unknown how trust emerges, develops, and supports human relationship to technological systems. In the following paper we review the literature on trust, human-robot interaction, HRC, and human interaction at large. Early models of trust suggest that it is a trade-off between benevolence and competence; while studies of human to human interaction emphasize the role of shared behavior and mutual knowledge in the gradual building of trust. We go on to introduce a model of trust as an agent’ best explanation for reliable sensory exchange with an extended motor plant or partner. This model is based on the cognitive neuroscience of active inference and suggests that, in the context of HRC, trust can be casted in terms of virtual control over an artificial agent. Interactive feedback is a necessary condition to the extension of the trustor’s perception-action cycle. This model has important implications for understanding human-robot interaction and collaboration–as it allows the traditional determinants of human trust, such as the benevolence and competence attributed to the trustee, to be defined in terms of hierarchical active inference, while vulnerability can be described in terms of information exchange and empowerment. Furthermore, this model emphasizes the role of user feedback during HRC and suggests that boredom and surprise may be used in personalized interactions as markers for under and over-reliance on the system. The description of trust as a sense of virtual control offers a crucial step toward grounding human factors in cognitive neuroscience and improving the design of human-centered technology. Furthermore, we examine the role of shared behavior in the genesis of trust, especially in the context of dyadic collaboration, suggesting important consequences for the acceptability and design of human-robot collaborative systems.

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“…The most notable example of such devices is the Goosecam (Benedek et al, 2010), an optical device which can be roughly described as a camera embedded in a box that blocks external light, recording the skin of the forearm-or lower Polo (2017), Schäfer and Sedlmeier (2011), Schoeller and Perlovsky (2016), Schoeller, Eskinazi, and Garreau (2018), Schoeller and Eskinazi (2019), Seibt et al (2017), Silvia et al (2015), Solberg and Dibben (2019), Strick et al (2015), Wassiliwizky et al (2015), Weth et al (2015) Continuous self-reports Raising finger or hand Craig (2005), Goldstein (1980), Konečni et al (2007), Panksepp (1995) Scratch sheet Baltes leg in some later studies-from a close distance. LED lights shine on the skin at an angle from within the box, allowing goosebumps to cast a shadow on the skin.…”

Section: Objective Measuresmentioning

confidence: 99%

“…Auricchio (2017),Guhn et al (2007),Nagel et al (2008),Polo (2017),Sloboda (1991) Increase or more frequent peaks:Bannister and Eerola (2018),Bannister (2020b),Beier et al (2020),Grewe et al (2007),Guhn et al (2007),Honda et al (2020),Nagel et al (2008) Event densityHigh levels: Bannister and Eerola (2018), Nagel et al (2008), Polo (2017) Frequency range Expansion in high or low register: Guhn et al (2007), Polo (2017) Spectral centroid or flux High levels: Bannister and Eerola (2018) Roughness, dissonance, or fluctuation strength Increase: Bannister and Eerola (2018), Beier et al (2020), Grewe et al (2007), Nagel et al (2008), Park et al (2019) Brightness or sharpness Increase: Bannister and Eerola (2018), Beier et al (2020), Grewe et al (2007), Honda et al ), Bannister and Eerola (2018), Bannister (2020a), Guhn et al (2007), Mlejnek (2013), Schurtz et al (2012), Sloboda (1991) Rhythmic properties Schurtz et al (2012), Solberg and Dibben (2019) Textural changes In general: Auricchio (2017), Polo (2017), Sloboda (1991), Solberg and Dibben (2019) Entrance or interplay between instruments: Auricchio (2017), Bannister and Eerola (2018), Bannister (2020a), Goodchild et al (2019), Guhn et al (2007), Mlejnek (2013) Voice and lyrics Bannister (2020a), Schurtz et al Bannister (2020a), Craig (2009),Goldstein (1980),Mlejnek (2013),Schoeller and Perlovsky (2016), Schoeller, Eskinazi, andGarreau (2018) No effect:Konečni et al (2007) …”

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confidence: 99%

Chills in music: A systematic review

R¹,

Mt²

2020

Preprint

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Chills are a psychophysiological response which can be experienced when listening to music. They have been of particular interest in scientific research on music because of their association with emotion and pleasure. With the literature almost doubling in size since the last review on the subject, a comprehensive survey is needed to provide a solid basis for future research. In this article, we explore the context behind current research on chills, discuss how they relate to emotional and aesthetic responses, assess current empirical measures and paradigms, summarise their physiological and neural correlates, categorise their possible stimulus-driven elicitors, examine how they are affected by individual differences, and evaluate theories about their potential evolutionary causes. We conclude by providing a set of recommendations for future research, and include a dataset listing pieces of music reported to elicit chills in the reviewed literature.

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Dynamics of the knowledge instinct: Effects of incoherence on the cognitive system

Cited by 14 publications

References 40 publications

Augmenting aesthetic chills using a wearable prosthesis improves their downstream effects on reward and social cognition

Augmenting aesthetic chills using a wearable prosthesis improves their downstream effects on reward and social cognition

Trust as Extended Control: Human-Machine Interactions as Active Inference

Chills in music: A systematic review

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