Perception in Remote Navigation

Zhong, Peihan

doi:10.31274/etd-180810-2402

Cited by 2 publications

(3 citation statements)

References 20 publications

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“…A post-experiment survey gathered participant opinions and strategies. Figure 2 shows the robot developed by Zhong (2013). The mazes measured 8.9 feet by 8.9 feet and were made of foam board.…”

Section: Methodsmentioning

confidence: 99%

The Effect of Time Delay on Emotion, Arousal, and Satisfaction in Human-Robot Interaction

Yang

Dorneich

2015

Proceedings of the Human Factors and Ergonomics Society Annual

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This study investigates the influence of time delay on user emotion, arousal, and satisfaction in humanrobot interaction (HRI). Time delay is a gap between an input from a user and the corresponding feedback response from the system, and its negative consequence on performance has been documented in various areas including psychology and HRI. On the contrary, the effects of time delay on user emotion and satisfaction have been difficult to establish due to the fluctuations in the emotional aspect of the physiological state of the user. In this study, the hypothesis of whether time delay during robot vehicle operation increases user arousal and negative emotions while lowering user satisfaction was tested. Participants were asked to remote-control a robot vehicle to navigate different mazes in a remote location. Time delay was manipulated by introducing lags into system feedback. Subjective and objective measures included emotion tracking through face recognition, and electrodermal activity (EDA). User frustration, anger, and arousal increased while user satisfaction decreased. A better understanding of how time delay influences user's emotion and how change in emotion is expressed in physiological signals would be of crucial importance to designing an affect-aware robotic systems that have the ability to appropriately respond to user emotional state.

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Section: Methodsmentioning

confidence: 99%

The Effect of Time Delay on Emotion, Arousal, and Satisfaction in Human-Robot Interaction

Yang

Dorneich

2015

Proceedings of the Human Factors and Ergonomics Society Annual

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“…Target Search. The task consisted of controlling a robot vehicle (Zhong, 2013) from a remote location via a joystick and navigating it through a maze. The robot vehicle was equipped with a video camera.…”

Section: Taskmentioning

confidence: 99%

“…Participants controlled the robot via a joystick (see Figure 3a). They were spatially separated from the maze and could only see the video provided from the robot's camera feed to the monitor screen (Zhong, 2013). A physiological sensor was employed for this experiment, which was EDA.…”

Section: Testing Apparatusmentioning

confidence: 99%

Mitigating User Frustration through Adaptive Feedback based on Human-Automation Etiquette Strategies

Yang

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The research investigates how to mitigate user frustration and support student learning through changes in human-computer interaction (HCI) style. Frustration can significantly impact the quality of learning in tutoring. This study examined an approach to mitigate frustration through the use of different etiquette strategies to change the amount of imposition feedback placed on the learner. An experiment was conducted to explore the implications of changing the interaction style between the human and the computer via different etiquette strategies. Participants solved mathematics problems under different frustration conditions with feedback given in different etiquette styles. Changing etiquette strategies led to changes in performance, motivation, confidence, and satisfaction. The most effective etiquette strategies changed when users were frustrated. This work provides the foundation for the design of adaptive tutoring system based on etiquette strategies.

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Perception in Remote Navigation

Cited by 2 publications

References 20 publications

The Effect of Time Delay on Emotion, Arousal, and Satisfaction in Human-Robot Interaction

The Effect of Time Delay on Emotion, Arousal, and Satisfaction in Human-Robot Interaction

Mitigating User Frustration through Adaptive Feedback based on Human-Automation Etiquette Strategies

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