The Effects of Operator Spatial Perception and Sensory Feedback on Human-Robot Teleoperation Performance

Lathan, Corinna; Tracey, M. R.

doi:10.1162/105474602760204282

Cited by 104 publications

(63 citation statements)

References 8 publications

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“…The data also repeatedly showed the superior performance by participants with higher SpA, and these results are consistent with past research (Lathan & Tracey, 2002;Vincow, 1998). Thomas and Wickens (2004) showed that there were individual differences in scanning effectiveness and its associated target detection performance.…”

Section: Discussionsupporting

confidence: 90%

Individual Differences in Human-Robot Interaction in a Military Multitasking Environment

Chen

2011

Journal of Cognitive Engineering and Decision Making

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A military vehicle crew station environment was simulated and a series of three experiments was conducted to examine the workload and performance of the combined position of the gunner and robotics operator in a multitasking environment. The study also evaluated whether aided target recognition (AiTR) capabilities (delivered through tactile and/or visual cuing) for the gunnery task might benefit the concurrent robotics and communication tasks and how the concurrent task performance might be affected when the AiTR was unreliable (i.e., false alarm prone or miss prone). Participants' spatial ability was consistently found to be a reliable predictor of their targeting task performance as well as their modality preference for the AiTR display. Participants' attentional control was found to significantly affect the way they interacted with unreliable automated systems.

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Section: Discussionsupporting

confidence: 90%

Individual Differences in Human-Robot Interaction in a Military Multitasking Environment

Chen

2011

Journal of Cognitive Engineering and Decision Making

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“…These results suggest that the operator had more visual and mental resources for the gunnery task when the robotics task was simply monitoring the video feed, compared with the other two robotics conditions. Also consistent with past research (Lathan & Tracey, 2002;Vincow, 1998) and Chen and Joyner (2009), participants' SpA was found to be an accurate predictor of their gunnery performance in both Experiments 1 & 2. Thomas and Wickens (2004) showed that there were individual differences in scanning effectiveness and its associated target detection performance.…”

Section: Discussionsupporting

confidence: 89%

Effectiveness of Concurrent Performance of Military and Robotics Tasks and Effects of Cueing and Individual Differences in a Simulated Reconnaissance Environment

Chen¹

2009

Advances in Human-Robot Interaction

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Introduction BackgroundThe goal of this research is to examine if and how aided target recognition (AiTR) cueing capabilities facilitates multitasking (including operating a robot) by gunners in a military tank crewstation environment. Specifically, we examine if gunners are able to effectively perform their primary task -maintaining local security -while performing a pair of secondary tasks: (1) managing a robot and (2) communications with fellow crew members. According to Mitchell (2005), who used the Improved Performance Research Integration Tool (IMPRINT) to examine the workload of the crew of a future tank system, the gunner is the most viable option for performing the robotics control tasks compared to the other two positions (i.e. vehicle commander and driver). She found that the gunner had the fewest instances of overload and, therefore, may be able to assume control of the robot. However, she also discovered that there were instances in the model when the gunner dropped his/her primary tasks of detecting and engaging targets to perform robotics tasks, which could be catastrophic for the team and mission during a real operation. If the gunner is the individual who will most likely be assigned the responsibility of robotics control, then it is important to consider what design changes will be necessary to allow successful multitasking without a critical performance decrement in maintaining local security. Based on Mitchell's modeling work, Chen and Joyner (2009) conducted a simulation experiment and the results showed that, when the robotics operator had to perform robot targeting and local security (i.e. gunner's tasks) at the same time, both workload and performance degraded, compared with a baseline single-task condition. More specifically, as the robotics task became more difficult, the participants' gunnery task performance became worse and their workload assessment also increased. Indeed, past research in dual task performance has shown that operators may encounter difficulties when both tasks involve focal vision. For example, Horrey and Wickens (2004) demonstrated that participants could not effectively detect road hazards while operating in-vehicle-devices. Additionally, Murray (1994) found that as the number of monitored displays increased, the operators' reaction time for their target search tasks also increased linearly. In fact, response times almost www.intechopen.com Advances in Human-Robot Interaction 234 doubled when the number of displays increased from 1 to 2 and from 2 to 3 (a slope of 1.94 was obtained). Since both the gunnery and the robotics tasks in Chen and Joyner were heavily visual, we considered tapping into another modality -touch. Our hypothesis was that parsing additional information by using relatively untapped modalities might alleviate the resource demands and could help the operator effectively transition between displays (Wickens, 2002). Tactile cueingIn the current study, we examined if and how tactile cueing, which delivered simulated AiTR capabilities (i.e. cues to t...

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“…Gugerty (2004) found that UAV operators report difficulty in maintaining spatial orientation. Lathan and Tracey (2002) demonstrated that people with higher spatial ability performed better in a teleoperation task through a maze. They finished their tasks faster and had fewer errors.…”

Section: Human-robot Interactionmentioning

confidence: 99%

Human–Robot Interaction in the Context of Simulated Route Reconnaissance Missions

Chen

Durlach

Sloan

et al. 2008

Military Psychology

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The goal of this research was to examine the ways in which human operators interact with simulated semiautonomous unmanned ground vehicles (UGVs), semiautonomous unmanned aerial vehicles (UAVs), and teleoperated UGVs (Teleop). Robotic operators performed parallel route reconnaissance missions with each platform alone and with all three platforms. When given all three platforms, participants failed to detect more targets than when given only the UAV or UGV; they were also less likely to complete their mission in the allotted time. Target detection during missions was the poorest with the Teleop alone, likely because of the demands of remote driving. Spatial ability was found to be a good predictor of target-detection performance.

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The Effects of Operator Spatial Perception and Sensory Feedback on Human-Robot Teleoperation Performance

Cited by 104 publications

References 8 publications

Individual Differences in Human-Robot Interaction in a Military Multitasking Environment

Individual Differences in Human-Robot Interaction in a Military Multitasking Environment

Effectiveness of Concurrent Performance of Military and Robotics Tasks and Effects of Cueing and Individual Differences in a Simulated Reconnaissance Environment

Human–Robot Interaction in the Context of Simulated Route Reconnaissance Missions

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