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Enhancing the effectiveness of Human-Robot teaming with a closed-loop system
| Title: | Enhancing the effectiveness of Human-Robot teaming with a closed-loop system. |
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| Name(s): |
Teo, Grace, Author Szalma, James, Committee Chair Jentsch, Florian, Committee Member Hancock, Peter, Committee Member Matthews, Gerald, Committee Member Reinerman, Lauren, Committee Member University of Central Florida, Degree Grantor |
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| Type of Resource: | text | |
| Date Issued: | 2015 | |
| Publisher: | University of Central Florida | |
| Language(s): | English | |
| Abstract/Description: | With the development in robotics and the increasing deployment of robots, human-robot teams are set to be a mainstay in the future. However, our understanding of the effectiveness and impact of this new form of teaming is limited. Previous experience with technology and automa-tion has shown that technological aids do not always result in the intended consequences of im-proved performance and alleviation of workload and stress. No doubt a large part of this is due to the fact that the relationships among taskload, workload and performance are complex as hu-man operators interact dynamically with tasks and technology. Measures of workload are also varied and differentially sensitive. There is also the added challenge posed by multi-tasking envi-ronments which typify most real-world situations. Given all this, efforts in designing technologi-cal aids, such as an adaptive robot aid in the context of human-robot teaming, would require a workload model that reflects the intricate relationship between taskload and the individual opera-tor's experience of workload. Such a model can then be used to drive a closed-loop system on which adaptive robot aiding can be based. The present research sought to investigate the effec-tiveness of a closed-loop system, based on a model of workload, in enhancing performance in a simulated military mission involving a human-robot team. Results showed that adaptive robot aid driven by workload needs as assessed by physiological measures resulted in greater improve-ments in performance compared to robot aid that was imposed by the system. | |
| Identifier: | CFE0006403 (IID), ucf:51485 (fedora) | |
| Note(s): |
2015-12-01 Ph.D. Sciences, Psychology Doctoral This record was generated from author submitted information. |
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| Subject(s): | workload -- physiological measures -- closed-loop -- adaptive aiding -- human-robot | |
| Persistent Link to This Record: | http://purl.flvc.org/ucf/fd/CFE0006403 | |
| Restrictions on Access: | campus 2021-06-15 | |
| Host Institution: | UCF |
