Title: |
Investigating the impact of cognitive assistive technologies on human performance and well-being: an experimental study in assembly and picking tasks. |
Authors: |
Lucchese, Andrea1 (AUTHOR) andrea.lucchese@poliba.it, Panagou, Sotirios2 (AUTHOR), Sgarbossa, Fabio2 (AUTHOR) |
Source: |
International Journal of Production Research. Mar2025, Vol. 63 Issue 6, p2038-2057. 20p. |
Subject Terms: |
*Performance technology, Assistive technology, Motor ability, Cognitive load, Well-being |
Abstract: |
Current industrial scenarios are characterised by increasingly demanding activities, especially order picking and assembly tasks. These activities require high levels of adaptability and manual dexterity, requirements that workers can fulfil, thus underscoring their paramount role. However, these tasks are becoming more complex and subjecting workers to greater cognitive strain. In this context, Industry 4.0 (I4.0) technologies that provide cognitive support (cognitive assistive technologies) are essential for reducing cognitive load, facilitating decision-making, improving performance and safeguarding workers' well-being. This study investigates the effectiveness of cognitive assistive technologies through laboratory experiments with 37 participants performing assembly and order picking tasks. Performance and well-being outcomes are evaluated based on task completion time and perceived workload. Results suggest that among the technologies investigated, pick-by-light is the most effective in assisting users, easing decision-making, and ensuring performance and well-being. This study contributes to explorative works that focus on the human-centric outcomes of assistive technologies, examining their effectiveness in providing cognitive support. Practical and managerial insights are derived to help engineers and managers choose cognitive assistive technologies that effectively support workers and enhance their performance and well-being. [ABSTRACT FROM AUTHOR] |
|
Copyright of International Journal of Production Research is the property of Taylor & Francis Ltd and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) |
Database: |
Business Source Complete |
Full text is not displayed to guests. |
Login for full access.
|