Modeling Cumulative Arm Fatigue in Mid-Air Interaction based on Perceived Exertion and Kinetics of Arm Motion

Jang, Su-Jin; Stuerzlinger, Wolfgang; Ambike, Satyajit; Ramani, Karthik

doi:10.1145/3025453.3025523

Cited by 96 publications

(71 citation statements)

References 45 publications

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“…Interaction in 3D typically involves more than two degrees of freedom (DOF). One good option to address this issue is to reduce the number of degrees of freedom through the use of constraints [132,141,142] Another issue affecting interaction with 3D is the "gorilla-arm" syndrome, i. e., the fact that holding one's hands in the air for extended periods of time leads to fatigue and all its associated side-effects [57,75].…”

Section: Challenges and Fundamental Limitations Of 3d Interactionmentioning

confidence: 99%

Interaction for Immersive Analytics

Büschel

Chen

Dachselt

et al. 2018

Lecture Notes in Computer Science

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In this chapter, we briefly review the development of natural user interfaces and discuss their role in providing human-computer interaction that is immersive in various ways. Then we examine some opportunities for how these technologies might be used to better support data analysis tasks. Specifically, we review and suggest some interaction design guidelines for immersive analytics. We also review some hardware setups for data visualization that are already archetypal. Finally, we look at some emerging system designs that suggest future directions.

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Section: Challenges and Fundamental Limitations Of 3d Interactionmentioning

confidence: 99%

Interaction for Immersive Analytics

Büschel

Chen

Dachselt

et al. 2018

Lecture Notes in Computer Science

Self Cite

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“…Although the results show a lower error rate than optical trackers, throughput was lower and arm fatigue was very high. Fatigue is a major on-going problem with VR controllers [6,15]. Our goal with…”

Section: D Selection Techniquesmentioning

confidence: 99%

“…D is the distance to the target and W is the target's size (width), while a and b are derived via linear regression. This has been formalized as a tool for testing input devices [8,15] via ISO 9241-9 [38]. Many studies have used the ISO 9241-9 standard for comparing 2D input devices [7,28].…”

Section: Fitts' Lawmentioning

confidence: 99%

“…Despite results showing a lower error rate, selection performance was mediocre but more importantly, many users expressed arm fatigue due to the nature of the selection where the user had to hold their arm in front of them and move it to select targets. This seems to be an ongoing issue with input devices in general [15] but increases as the number of DOF increases. In light of this, we chose to use the mouse as the input device in our studies due to the fact that it does not require the user to perform physically demanding movements.…”

Section: Vr Input Devicesmentioning

confidence: 99%

“…First, with image-plane selection, the user must outstretch their arms to point at or frame targets. This in-air interaction causes extreme fatigue after extended use, leading to the well-known "gorilla-arm syndrome" [15]. Our technique avoids this by using 2D selection devices, which necessitate less effort and thus reduce fatigue.…”

Section: Comparison With Image-plane Selectionmentioning

confidence: 99%

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2D Selection in Virtual Reality with Head Mounted Displays

Ramcharitar¹

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We present an evaluation of a new selection technique for virtual reality (VR) systems presented on head-mounted displays. The technique, dubbed EZCursorVR, presents a 2D cursor that moves in a head-fixed plane, simulating a 2D desktop-like cursor for VR. The cursor can be controlled by any 2 degree of freedom (DOF) and 3/6DOF input device. We conducted two experiments based on ISO 9241-9. In the first study, we compared the effectiveness of EZCursorVR using six different controllers. Results indicate that the mouse offered the best performance, while the position-control joystick performed the worst. In the second study we evaluate EZCursorVR using three different transfer functions using the mouse with different degrees of cursor acceleration. Results indicate that, despite previous research, constant acceleration performed better than the other two transfer functions. We believe that future evaluation needs to be conducted to evaluate different acceleration curve steepnesses using the same transfer function.iii Acknowledgements First and foremost, I would like to thank my thesis supervisor, Dr. Robert Teather for his continuous guidance and support throughout my time as a graduate student. I am grateful to him for not only teaching me how to be a better researcher, but also for pushing me to publish my work in academic conferences. His perseverance in ensuring that my research wasn't just confined to Carleton University, led to several publications and gave me the opportunity to present my work internationally in Denver, CO and Brighton, UK.

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