Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals
Working on a moving platform can significantly impede human performance. Previous studies on moving vehicles have often focused on the overall impact on general task performance, whereas our study’s emphasis is on precise hand movements, exploring the interaction between body motion and the escalati...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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MDPI AG
2024-02-01
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| Series: | Sensors |
| Subjects: | |
| Online Access: | https://www.mdpi.com/1424-8220/24/5/1518 |
| _version_ | 1827319357536993280 |
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| author | Yuzhang Li Xinming Li Peter R. Grant Bin Zheng |
| author_facet | Yuzhang Li Xinming Li Peter R. Grant Bin Zheng |
| author_sort | Yuzhang Li |
| collection | DOAJ |
| description | Working on a moving platform can significantly impede human performance. Previous studies on moving vehicles have often focused on the overall impact on general task performance, whereas our study’s emphasis is on precise hand movements, exploring the interaction between body motion and the escalation of task difficulty. We recruited 28 participants to engage in reciprocal aiming tasks, following Paul Fitts’s setting, under both in-motion and stationary conditions. The task index of difficulty (ID) was manipulated by varying the width of the targets and the distance between the targets. We measured participants’ movement time (MT), performance errors, and monitored their eye movements using an eye-tracking device, heart rate (HR), and respiration rate (RR) during the tasks. The measured parameters were compared across two experimental conditions and three ID levels. Compared to the stationary conditions, the in-motion conditions degraded human aiming performance, resulting in significantly prolonged MT, increased errors, and longer durations of eye fixations and saccades. Furthermore, HR and RR increased under the in-motion conditions. Linear relationships between MT and ID exhibited steeper slopes under the in-motion conditions compared to the stationary conditions. This study builds a foundation for us to explore the control mechanisms of individuals working in dynamic and demanding environments, such as pilots in airplanes and paramedics in ambulances. |
| first_indexed | 2024-04-25T00:19:45Z |
| format | Article |
| id | doaj.art-228ab9dc1614465fafc12df798999ab6 |
| institution | Directory Open Access Journal |
| issn | 1424-8220 |
| language | English |
| last_indexed | 2024-04-25T00:19:45Z |
| publishDate | 2024-02-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Sensors |
| spelling | doaj.art-228ab9dc1614465fafc12df798999ab62024-03-12T16:55:04ZengMDPI AGSensors1424-82202024-02-01245151810.3390/s24051518Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-SignalsYuzhang Li0Xinming Li1Peter R. Grant2Bin Zheng3Department of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, CanadaDepartment of Mechanical Engineering, University of Alberta, Edmonton, AB T6G 1H9, CanadaInstitute for Aerospace Studies, University of Toronto, Toronto, ON M3H 5T6, CanadaDepartment of Surgery, University of Alberta, Edmonton, AB T6G 2B7, CanadaWorking on a moving platform can significantly impede human performance. Previous studies on moving vehicles have often focused on the overall impact on general task performance, whereas our study’s emphasis is on precise hand movements, exploring the interaction between body motion and the escalation of task difficulty. We recruited 28 participants to engage in reciprocal aiming tasks, following Paul Fitts’s setting, under both in-motion and stationary conditions. The task index of difficulty (ID) was manipulated by varying the width of the targets and the distance between the targets. We measured participants’ movement time (MT), performance errors, and monitored their eye movements using an eye-tracking device, heart rate (HR), and respiration rate (RR) during the tasks. The measured parameters were compared across two experimental conditions and three ID levels. Compared to the stationary conditions, the in-motion conditions degraded human aiming performance, resulting in significantly prolonged MT, increased errors, and longer durations of eye fixations and saccades. Furthermore, HR and RR increased under the in-motion conditions. Linear relationships between MT and ID exhibited steeper slopes under the in-motion conditions compared to the stationary conditions. This study builds a foundation for us to explore the control mechanisms of individuals working in dynamic and demanding environments, such as pilots in airplanes and paramedics in ambulances.https://www.mdpi.com/1424-8220/24/5/1518reciprocal aiming taskFitts’s Lawin-motion conditionsmovement controleye tracking |
| spellingShingle | Yuzhang Li Xinming Li Peter R. Grant Bin Zheng Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals Sensors reciprocal aiming task Fitts’s Law in-motion conditions movement control eye tracking |
| title | Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals |
| title_full | Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals |
| title_fullStr | Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals |
| title_full_unstemmed | Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals |
| title_short | Quantifying the Impact of Motions on Human Aiming Performance: Evidence from Eye Tracking and Bio-Signals |
| title_sort | quantifying the impact of motions on human aiming performance evidence from eye tracking and bio signals |
| topic | reciprocal aiming task Fitts’s Law in-motion conditions movement control eye tracking |
| url | https://www.mdpi.com/1424-8220/24/5/1518 |
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