Haptic communication optimises joint decisions and affords implicit confidence sharing

Pezzulo, Giovanni; Roche, Lucas; Saint-Bauzel, Ludovic

doi:10.1038/s41598-020-80041-6

Cited by 9 publications

(7 citation statements)

References 52 publications

(37 reference statements)

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“…A recent study by Pezzulo, Roche, and Saint‐Bauzel (2021) demonstrated that subjective confidence can be implicitly inferred from the force applied during motor actions such that pushing harder toward one of the two response options implies high confidence. This finding is in line with the idea that the confidence of other individuals can be implicitly inferred from other behavioral cues instead of explicit confidence reports, which is also consistent with the findings obtained in the current study.…”

Section: Discussionmentioning

confidence: 99%

Bayes Optimal Integration of Social and Endogenous Uncertainty in Numerosity Estimation

Öztel,

Balcı

2024

Cognitive Science

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One of the most prominent social influences on human decision making is conformity, which is even more prominent when the perceptual information is ambiguous. The Bayes optimal solution to this problem entails weighting the relative reliability of cognitive information and perceptual signals in constructing the percept from self‐sourced/endogenous and social sources, respectively. The current study investigated whether humans integrate the statistics (i.e., mean and variance) of endogenous perceptual and social information in a Bayes optimal way while estimating numerosities. Our results demonstrated adjustment of initial estimations toward group means only when group estimations were more reliable (or “certain”), compared to participants’ endogenous metric uncertainty. Our results support Bayes optimal social conformity while also pointing to an implicit form of metacognition.

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Section: Discussionmentioning

confidence: 99%

Bayes Optimal Integration of Social and Endogenous Uncertainty in Numerosity Estimation

Öztel,

Balcı

2024

Cognitive Science

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“…This decoupling is very difficult to achieve in a walking task, but has been done in upper-limb studies with virtual objects that either isolated force feedback from the object vs . the partner ( Groten et al, 2013 ; Roche and Saint-Bauzel, 2016 ) or used physical interaction to negotiate a joint non-motor decision ( Pezzulo et al, 2019 ).…”

Section: Discussionmentioning

confidence: 99%

Human-Human Hand Interactions Aid Balance During Walking by Haptic Communication

Drnach

Bong

et al. 2021

Front. Robot. AI

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Principles from human-human physical interaction may be necessary to design more intuitive and seamless robotic devices to aid human movement. Previous studies have shown that light touch can aid balance and that haptic communication can improve performance of physical tasks, but the effects of touch between two humans on walking balance has not been previously characterized. This study examines physical interaction between two persons when one person aids another in performing a beam-walking task. 12 pairs of healthy young adults held a force sensor with one hand while one person walked on a narrow balance beam (2 cm wide x 3.7 m long) and the other person walked overground by their side. We compare balance performance during partnered vs. solo beam-walking to examine the effects of haptic interaction, and we compare hand interaction mechanics during partnered beam-walking vs. overground walking to examine how the interaction aided balance. While holding the hand of a partner, participants were able to walk further on the beam without falling, reduce lateral sway, and decrease angular momentum in the frontal plane. We measured small hand force magnitudes (mean of 2.2 N laterally and 3.4 N vertically) that created opposing torque components about the beam axis and calculated the interaction torque, the overlapping opposing torque that does not contribute to motion of the beam-walker’s body. We found higher interaction torque magnitudes during partnered beam-walking vs. partnered overground walking, and correlation between interaction torque magnitude and reductions in lateral sway. To gain insight into feasible controller designs to emulate human-human physical interactions for aiding walking balance, we modeled the relationship between each torque component and motion of the beam-walker’s body as a mass-spring-damper system. Our model results show opposite types of mechanical elements (active vs. passive) for the two torque components. Our results demonstrate that hand interactions aid balance during partnered beam-walking by creating opposing torques that primarily serve haptic communication, and our model of the torques suggest control parameters for implementing human-human balance aid in human-robot interactions.

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“…Much of the literature we have reviewed here focuses on visual perception. However, many joint actions involve coordination through auditory (D'Ausilio et al, 2015) and haptic (Pezzulo et al, 2021;van der Wel et al, 2011) information. How perception in different sensory modalities contributes to social interaction, and how information is integrated across different modalities in the service of social interaction, remain important questions for future research.…”

Section: Discussionmentioning

confidence: 99%

Perception and Action in a Social Context

Azaad

Knoblich

Sebanz

2021

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Even the simplest social interactions require us to gather, integrate, and act upon, multiple streams of information about others and our surroundings. In this Element, we discuss how perceptual processes provide us with an accurate account of action-relevant information in social contexts. We overview contemporary theories and research that explores how: (1) individuals perceive others' mental states and actions, (2) individuals perceive affordances for themselves, others, and the dyad, and (3) how social contexts guide our attention to modulate what we perceive. Finally, we review work on the cognitive mechanisms that make joint action possible and discuss their links to perception.

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Haptic communication optimises joint decisions and affords implicit confidence sharing

Cited by 9 publications

References 52 publications

Bayes Optimal Integration of Social and Endogenous Uncertainty in Numerosity Estimation

Bayes Optimal Integration of Social and Endogenous Uncertainty in Numerosity Estimation

Human-Human Hand Interactions Aid Balance During Walking by Haptic Communication

Perception and Action in a Social Context

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