Measurement and classification of human characteristics and capabilities during interaction tasks
In this paperwe address the need to design adaptive interacting systems for advanced industrial production machines. Modern production systems have become highly complex and include many subsidiary functionalities, thus making it difficult for least skilled human operators interact with them. In thi...
| Main Authors: | , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
De Gruyter
2019-04-01
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| Series: | Paladyn |
| Subjects: | |
| Online Access: | https://doi.org/10.1515/pjbr-2019-0016 |
| _version_ | 1797427764722139136 |
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| author | Villani Valeria Czerniak Julia N. Sabattini Lorenzo Mertens Alexander Fantuzzi Cesare |
| author_facet | Villani Valeria Czerniak Julia N. Sabattini Lorenzo Mertens Alexander Fantuzzi Cesare |
| author_sort | Villani Valeria |
| collection | DOAJ |
| description | In this paperwe address the need to design adaptive interacting systems for advanced industrial production machines. Modern production systems have become highly complex and include many subsidiary functionalities, thus making it difficult for least skilled human operators interact with them. In this regard, adapting the behavior of the machine and of the operator interface to the characteristics of the user allows a more effective interaction process, with a positive impact on manufacturing efficiency and user’s satisfaction. To this end, it is crucial to understandwhich are the user’s capabilities that influence the interaction and, hence, should be measured to provide the correct amount of adaptation.Moving along these lines, in this paper we identify groups of users that, despite having different individual capabilities and features, have common needs and response to the interaction with complex production systems. As a consequence,we define clusters of users that have the same need for adaptation. Then, adaptation rules can be defined by considering such users’ clusters, rather than addressing specific individual user’s needs. |
| first_indexed | 2024-03-09T08:49:46Z |
| format | Article |
| id | doaj.art-30d3158751c64fed8873e0b5e41e4cc3 |
| institution | Directory Open Access Journal |
| issn | 2081-4836 |
| language | English |
| last_indexed | 2024-03-09T08:49:46Z |
| publishDate | 2019-04-01 |
| publisher | De Gruyter |
| record_format | Article |
| series | Paladyn |
| spelling | doaj.art-30d3158751c64fed8873e0b5e41e4cc32023-12-02T14:39:13ZengDe GruyterPaladyn2081-48362019-04-0110118219210.1515/pjbr-2019-0016pjbr-2019-0016Measurement and classification of human characteristics and capabilities during interaction tasksVillani Valeria0Czerniak Julia N.1Sabattini Lorenzo2Mertens Alexander3Fantuzzi Cesare4Department of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, Reggio Emilia, ItalyInstitute of Industrial Engineering and Ergonomics, RWTH Aachen University, Aachen, Germany; e-mail: n.surname@iaw.rwth-aachen.deDepartment of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, Reggio Emilia, Italy; e-mail: name.surname@unimore.itInstitute of Industrial Engineering and Ergonomics, RWTH Aachen University, Aachen, Germany; e-mail: n.surname@iaw.rwth-aachen.deDepartment of Sciences and Methods for Engineering (DISMI), University of Modena and Reggio Emilia, Reggio Emilia, Italy; e-mail: name.surname@unimore.itIn this paperwe address the need to design adaptive interacting systems for advanced industrial production machines. Modern production systems have become highly complex and include many subsidiary functionalities, thus making it difficult for least skilled human operators interact with them. In this regard, adapting the behavior of the machine and of the operator interface to the characteristics of the user allows a more effective interaction process, with a positive impact on manufacturing efficiency and user’s satisfaction. To this end, it is crucial to understandwhich are the user’s capabilities that influence the interaction and, hence, should be measured to provide the correct amount of adaptation.Moving along these lines, in this paper we identify groups of users that, despite having different individual capabilities and features, have common needs and response to the interaction with complex production systems. As a consequence,we define clusters of users that have the same need for adaptation. Then, adaptation rules can be defined by considering such users’ clusters, rather than addressing specific individual user’s needs.https://doi.org/10.1515/pjbr-2019-0016human-machine interactionuser profilesuser-centered interactionhuman factors |
| spellingShingle | Villani Valeria Czerniak Julia N. Sabattini Lorenzo Mertens Alexander Fantuzzi Cesare Measurement and classification of human characteristics and capabilities during interaction tasks Paladyn human-machine interaction user profiles user-centered interaction human factors |
| title | Measurement and classification of human characteristics and capabilities during interaction tasks |
| title_full | Measurement and classification of human characteristics and capabilities during interaction tasks |
| title_fullStr | Measurement and classification of human characteristics and capabilities during interaction tasks |
| title_full_unstemmed | Measurement and classification of human characteristics and capabilities during interaction tasks |
| title_short | Measurement and classification of human characteristics and capabilities during interaction tasks |
| title_sort | measurement and classification of human characteristics and capabilities during interaction tasks |
| topic | human-machine interaction user profiles user-centered interaction human factors |
| url | https://doi.org/10.1515/pjbr-2019-0016 |
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