Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model
In the digital society, individuals are in charge of performing tasks based on the information gathered by huge amount of data and effectively use them to manifest their cognitive and motor abilities. In this paper, on the basis of experimental studies available in literature concerning lab tests on...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2020-08-01
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| Series: | Applied Sciences |
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| Online Access: | https://www.mdpi.com/2076-3417/10/17/5958 |
| _version_ | 1797555251433177088 |
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| author | Salvatore Digiesi Daniela Cavallo Andrea Lucchese Carlotta Mummolo |
| author_facet | Salvatore Digiesi Daniela Cavallo Andrea Lucchese Carlotta Mummolo |
| author_sort | Salvatore Digiesi |
| collection | DOAJ |
| description | In the digital society, individuals are in charge of performing tasks based on the information gathered by huge amount of data and effectively use them to manifest their cognitive and motor abilities. In this paper, on the basis of experimental studies available in literature concerning lab tests on motor or cognitive abilities of differently aged subjects, an information-based theoretical model is proposed. The model allows to quantify the information content of a motor or a cognitive task and provides estimates of information processing time of individuals of different age and sex in accomplishing tasks with prevalent motor or cognitive nature, in spite of the fact that a “pure” cognitive or a “pure” motor task are rarely observed in practical cases. The model is then applied to a case study from automotive industry in which workforce aging phenomenon is experienced. Potential applications of the model go beyond the case study developed. Quantifying the information content of a general motor-cognitive task paves the way to new understanding and modelling of movements and performance time of both natural and artificial systems with applications in industrial robotics (e.g., human-robot cooperation), biomechanics, and neurorehabilitation. |
| first_indexed | 2024-03-10T16:44:47Z |
| format | Article |
| id | doaj.art-51c016b071b548f6b7e1f0d0d018ec03 |
| institution | Directory Open Access Journal |
| issn | 2076-3417 |
| language | English |
| last_indexed | 2024-03-10T16:44:47Z |
| publishDate | 2020-08-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Applied Sciences |
| spelling | doaj.art-51c016b071b548f6b7e1f0d0d018ec032023-11-20T11:42:04ZengMDPI AGApplied Sciences2076-34172020-08-011017595810.3390/app10175958Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based ModelSalvatore Digiesi0Daniela Cavallo1Andrea Lucchese2Carlotta Mummolo3Department of Mechanics, Mathematics and Management, Polytechnic University of Bari, 70125 Bari, ItalyDepartment of Mechanics, Mathematics and Management, Polytechnic University of Bari, 70125 Bari, ItalyDepartment of Mechanics, Mathematics and Management, Polytechnic University of Bari, 70125 Bari, ItalyDepartment of Biomedical Engineering, New Jersey Institute of Technology, Newark, NJ 07102, USAIn the digital society, individuals are in charge of performing tasks based on the information gathered by huge amount of data and effectively use them to manifest their cognitive and motor abilities. In this paper, on the basis of experimental studies available in literature concerning lab tests on motor or cognitive abilities of differently aged subjects, an information-based theoretical model is proposed. The model allows to quantify the information content of a motor or a cognitive task and provides estimates of information processing time of individuals of different age and sex in accomplishing tasks with prevalent motor or cognitive nature, in spite of the fact that a “pure” cognitive or a “pure” motor task are rarely observed in practical cases. The model is then applied to a case study from automotive industry in which workforce aging phenomenon is experienced. Potential applications of the model go beyond the case study developed. Quantifying the information content of a general motor-cognitive task paves the way to new understanding and modelling of movements and performance time of both natural and artificial systems with applications in industrial robotics (e.g., human-robot cooperation), biomechanics, and neurorehabilitation.https://www.mdpi.com/2076-3417/10/17/5958cognitive-motor tasksagingShannon entropyhuman processing time |
| spellingShingle | Salvatore Digiesi Daniela Cavallo Andrea Lucchese Carlotta Mummolo Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model Applied Sciences cognitive-motor tasks aging Shannon entropy human processing time |
| title | Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model |
| title_full | Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model |
| title_fullStr | Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model |
| title_full_unstemmed | Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model |
| title_short | Human Cognitive and Motor Abilities in the Aging Workforce: An Information-Based Model |
| title_sort | human cognitive and motor abilities in the aging workforce an information based model |
| topic | cognitive-motor tasks aging Shannon entropy human processing time |
| url | https://www.mdpi.com/2076-3417/10/17/5958 |
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