Effort Perception

Razón, Selen; Hutchinson, Jasmin; Tenenbaum, Gershon

doi:10.5040/9781492596332.ch-024

Cited by 18 publications

(18 citation statements)

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“…This is particularly true when increases in task difficulty and performance measures are objective and highly identifiable ( Bandura, 2006 ), as in the case of juggling with an increasing number of balls. With respect to attentional focus, our findings corroborate previous research suggesting that harder physical tasks tend to elicit an associative attentional response, compared to easier tasks ( Basevitch et al, 2011 ; Razon, Hutchinson & Tenenbaum, 2012 ; Tenenbaum, 2005 ). Challenging physical and motor-cognitive tasks require most attentional resources to be directed to the task rather than turning attention to distracting thoughts or external cues unrelated to performance.…”

Section: Discussionsupporting

confidence: 89%

“…Attention was measured on a 10-point scale ranging from 0 (e.g., task-unrelated, distracting thoughts or external cues) to 10 (e.g., task-related, juggling performance) throughout the juggling task. This scale was designed to capture a continuum of attentional strategies ranging from 0 (pure dissociation) to 10 (pure association) and has been used in previous research in applied psychology ( Basevitch et al, 2011 ; Razon, Hutchinson & Tenenbaum, 2012 ; Tenenbaum, 2005 ).…”

Section: Methodsmentioning

confidence: 99%

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Hyperbrain features of team mental models within a juggling paradigm: a proof of concept

Filho

Bertollo

Tamburro

et al. 2016

PeerJ

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BackgroundResearch on cooperative behavior and the social brain exists, but little research has focused on real-time motor cooperative behavior and its neural correlates. In this proof of concept study, we explored the conceptual notion of shared and complementary mental models through EEG mapping of two brains performing a real-world interactive motor task of increasing difficulty. We used the recently introduced participative “juggling paradigm,” and collected neuro-physiological and psycho-social data. We were interested in analyzing the between-brains coupling during a dyadic juggling task, and in exploring the relationship between the motor task execution, the jugglers’skill level and the task difficulty. We also investigated how this relationship could be mirrored in the coupled functional organization of the interacting brains.MethodsTo capture the neural schemas underlying the notion of shared and complementary mental models, we examined the functional connectivity patterns and hyperbrain features of a juggling dyad involved in cooperative motor tasks of increasing difficulty. Jugglers’ cortical activity was measured using two synchronized 32-channel EEG systems during dyadic juggling performed with 3, 4, 5 and 6 balls. Individual and hyperbrain functional connections were quantified through coherence maps calculated across all electrode pairs in the theta and alpha bands (4–8 and 8–12 Hz). Graph metrics were used to typify the global topology and efficiency of the functional networks for the four difficulty levels in the theta and alpha bands.ResultsResults indicated that, as task difficulty increased, the cortical functional organization of the more skilled juggler became progressively more segregated in both frequency bands, with a small-world organization in the theta band during easier tasks, indicative of a flow-like state in line with the neural efficiency hypothesis. Conversely, more integrated functional patterns were observed for the less skilled juggler in both frequency bands, possibly related to cognitive overload due to the difficulty of the task at hand (reinvestment hypothesis). At the hyperbrain level, a segregated functional organization involving areas of the visuo-attentional networks of both jugglers was observed in both frequency bands and for the easier task only.DiscussionThese results suggest that cooperative juggling is supported by integrated activity of specialized cortical areas from both brains only during easier tasks, whereas it relies on individual skills, mirrored in uncorrelated individual brain activations, during more difficult tasks. These findings suggest that task difficulty and jugglers’ personal skills may influence the features of the hyperbrain network in its shared/integrative and complementary/segregative tendencies.

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Section: Discussionsupporting

confidence: 89%

Section: Methodsmentioning

confidence: 99%

Hyperbrain features of team mental models within a juggling paradigm: a proof of concept

Filho

Bertollo

Tamburro

et al. 2016

PeerJ

View full text Add to dashboard Cite

show abstract

“…The current piece of work postulates that attentional focus is the trigger responsible for modulating psychological responses to exercise. In such instance, the exerciser initially reallocates his/her attentional focus to the stimulus considered more relevant (Broadbent, 1958 ; Razon et al, 2012 ). Exercisers are able to focus on task-unrelated cues at low-intensity exercise, because the exercise task is considerably easy (for details, see Hutchinson and Tenenbaum, 2007 ).…”

Section: The Role Of Attentional Focusmentioning

confidence: 99%

“…Attentional focus appears to be the trigger responsible for initiating cascade reactions that underpin the sense of effort and the neural activation to the active muscles. The exercise mode and intensity influence exertional responses over time (Razon et al, 2012 ). Sensory stimulation/deprivation and attentional strategies (associative or dissociative behavior) can facilitate or jeopardize exercise performance.…”

Section: No More Headless Bodies Walking Alonementioning

confidence: 99%

Corollary discharges and fatigue-related symptoms: the role of attentional focus

Bigliassi

2015

Front. Psychol.

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“…Given that the Borg CR10 scale has effectively tracked vocal effort in past research protocols 3,16–18 , it may be a promising tool to employ clinically. Additionally, this scale is of interest because of its extensive and successful measurement of perceived exertion or effort in the kinesiology, medical, and ergonomic fields 19–26 . Particular strengths include its usability for the lay person, its response format, and its construction as a numeric ratio with standard intervals and true zero point 3 , as well as categorical verbal descriptors of each numeric point (e.g.…”

Section: Introductionmentioning

confidence: 99%

Using the Borg CR10 Physical Exertion Scale to Measure Patient-perceived Vocal Effort Pre and Post Treatment

Leer

Mersbergen

2017

Journal of Voice

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Effort Perception

Cited by 18 publications

References 0 publications

Hyperbrain features of team mental models within a juggling paradigm: a proof of concept

Hyperbrain features of team mental models within a juggling paradigm: a proof of concept

Corollary discharges and fatigue-related symptoms: the role of attentional focus

Using the Borg CR10 Physical Exertion Scale to Measure Patient-perceived Vocal Effort Pre and Post Treatment

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