Human Reaction Times: Linking Individual and Collective Behaviour Through Physics Modeling

Castro-Palacio, Juan Carlos; Córdoba, Pedro Fernández de; Isidro, J. M.; Sahu, Sarira; Navarro‐Pardo, Esperanza

doi:10.3390/sym13030451

Cited by 7 publications

(3 citation statements)

References 41 publications

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“…4.1. However, a more recent article argues that it is closer to a Maxwell-Boltzmann distribution [51]. Regardless, we are not interested in the distribution but rather the relationship between the input methods.…”

Section: Rt Performance By Groupsmentioning

confidence: 99%

Exploration of Mandibular Inputs for Human-Machine Interfaces

Yaslam

Féron

2022

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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The direct connection of the jaw to the brain allows it to retain its motor and sensory capabilities even after severe spinal cord injuries. As such, it can be an accessible means of providing inputs for people with paralysis to manipulate their environment. This paper explores the potential for using the jaw, specifically the mandible, as an alternative input to human-machine interface systems. Two tests were developed to test the mandible's ability to respond to visual stimuli. First, a visual response time test to measure the precision and accuracy of user input through a mandible-actuated button. Second, a choice response test to observe coordination between the mandible and a finger.Study results show that the mean response time of mandible inputs is 8.3% slower than the corresponding mean response time of performing the same task with a thumb. The delay in response after making a decision is statistically insignificant between the mandible-and finger-actuated inputs with the mandible being 2.67% slower.Based on these results, the increase in response time while using the mandibular input is minimal for new users. Coordination is feasible in tasks involving both the mandible and thumb. Extensive training with a made-to-fit device has the potential to enable a visual response time equivalent to the fingers in more complex tasks. The mandible is a viable option for accessible HMI for discreet inputs. Further testing into continuous input is needed to explore the mandible's potential as an input for body augments.

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Section: Rt Performance By Groupsmentioning

confidence: 99%

Exploration of Mandibular Inputs for Human-Machine Interfaces

Yaslam

Féron

2022

2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)

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“…In [8], researchers proposed an approach to entropy classification of individual response in time. The approach was based on the Maxwell-Boltzmann model and tested on 24,192 responses, with a coefficient of determination R 2 =0.88.…”

Section: Literature Review and Problem Statementmentioning

confidence: 99%

Development and experimental study of analyzer to enhance maritime safety

Nosov

Zinchenko

Plokhikh

et al. 2021

EEJET

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On the basis of empirical experimental data, relationships were identified indicating the influence of navigators' response to such vessel control indicators as maneuverability and safety. This formed a hypothesis about a non-random connection between the navigator's actions, response and parameters of maritime transport management. Within the framework of this hypothesis, logical-formal approaches were proposed that allow using server data of both maritime simulators and operating vessels in order to timely identify the occurrence of a critical situation with possible catastrophic consequences. A method for processing navigation data based on the analysis of temporal zones is proposed, which made it possible to prevent manifestations of reduced efficiency of maritime transport management by 22.5 %. Based on cluster analysis and automated neural networks, it was possible to identify temporary vessel control fragments and classify them by the level of danger. At the same time, the neural network test error was only 3.1 %, and the learning error was 3.8 %, which ensures the high quality of simulation results. The proposed approaches were tested using the Navi Trainer 5000 navigation simulator (Wärtsilä Corporation, Finland). The simulation of the system for identifying critical situations in maritime transport management made it possible to reduce the probability of catastrophic situations by 13.5 %. The use of automated artificial neural networks allowed defining critical situations in real time from the database of maritime transport management on the captain's bridge for an individual navigator.

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“…As a practical example to illustrate the results of Monte Carlo simulations, three health-related non-dichotomic variables (body mass index, verbal fluency, and short-term memory) were studied. In the future, this methodology can be extended to different fields for a better understanding [8][9][10][11][12].…”

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confidence: 99%