Special Issue "Cognitive Control and Interaction"

A special issue of Behavioral Sciences (ISSN 2076-328X). This special issue belongs to the section "Cognition".

Deadline for manuscript submissions: 31 October 2023 | Viewed by 837

Special Issue Editors

Department of Neuroscience, Psychology, Drug Research and Child Health (NEUROFARBA), University of Florence, 50100 Florence, Italy
Interests: cognitive control; inhibitory control; cognitive processes; time perception
Department of Industrial Engineering, University of Florence, Via Santa Marta 3, 50139 Florence, Italy
Interests: ambient assisted living; cloud service robotics; ICT system for dual-task cognitive activation; pattern recognition; signal processing and experimental protocol definition
Special Issues, Collections and Topics in MDPI journals
Department of Experimental and Clinical Medicine, University of Florence, 50139 Florence, Italy
Interests: motor control; motor timing; cognitive-motor mechanisms; adaptive control; kinematics; excellent performance; neurorehabilitation

Special Issue Information

Dear Colleagues,

Cognitive control is the key process in decision making and in the optimization of our behavior in our environment. Withholding and selecting the most appropriate action forms the basis of our interaction in our physical and social environment (both cooperative and competitive). Several studies delineated the fundamentals of cognitive control and the associated neural correlates. In particular, cognitive control operates through two phases—proactive and reactive modes—depending on the time the action is withheld. The proactive process is a type of control intervening before event occurrence, whereas the reactive process it is thought to be a “cut-trigger”, which stops an already-initiated motor response. Although it is well known that both processes play a fundamental role in gaining successful cognitive control, the way in which these processes intervene during a human interaction with different agents (humans or non-humans) in different environments (natural or virtual) is still a matter of debate.

This Special Issue aims to explore the contribution of cognitive control from different perspectives, with a particular focus on proactive and reactive processes in different types of environments and social interactions. We welcome theoretical and/or empirical contributions that expand our knowledge of cognitive control and decision making in physical and virtual environments with different agents (such as human–human or human–robot) of interaction.

Dr. Gioele Gavazzi
Dr. Laura Fiorini
Dr. Riccardo Bravi
Guest Editors

Manuscript Submission Information

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Keywords

  • inhibitory control
  • cognitive control
  • interaction
  • robot
  • human–robot interaction
  • virtual environment
  • competition
  • cooperation

Published Papers (1 paper)

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Research

Article
Design and Validation of a Test to Evaluate the Execution Time and Decision-Making in Technical–Tactical Football Actions (Passing and Driving)
Behav. Sci. 2023, 13(2), 101; https://doi.org/10.3390/bs13020101 - 26 Jan 2023
Viewed by 640
Abstract
Reaction time and decision-making (DMA) in football have usually been evaluated using edited images or videos of game situations. The purpose of this research is to design and validate a test that simultaneously evaluates execution time (ET) and decision-making (DMA) in the subcategories [...] Read more.
Reaction time and decision-making (DMA) in football have usually been evaluated using edited images or videos of game situations. The purpose of this research is to design and validate a test that simultaneously evaluates execution time (ET) and decision-making (DMA) in the subcategories of type of action (TA) and direction of movement (DM). Methodology: A quantitative, cross-sectional, and descriptive study of 30 young players. A total of 32 stimuli were programmed, corresponding to 64 responses, from which the total index (TI) was obtained from the division between DMA and ET. Results: The content validity index (CVI = 0.78) showed a high degree of consensus among experts. In the validation process, the intraclass correlation coefficient (ICC) was used to assess intraclass and interobserver reliability, and a moderate level of agreement was found between subjects for the TA (ICC = 0.593) and ET (ICC = 0.602) and a moderate high level of concordance for DM (ICC = 0.804) and TI (ICC = 0.855). Regarding interobserver reliability, an excellent level of agreement was found for all variables: TA (ICC = 0.998), DM (ICC = 0.998), ET (ICC = 1.000), and TI (ICC = 1.000). For the relationship between intraobserver and interobserver variables, statistical significance was established as p < 0.01. Finally, the intraobserver ETM (5.40%) and interobserver ETM (0.42%) was low compared with the reference value (5.9%). Conclusion: The designed test meets the validity criteria since the variables show sufficient intraclass reliability (test–retest) and reliability among observers. Full article
(This article belongs to the Special Issue Cognitive Control and Interaction)
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