Assessment of Augmented Reality Technology’s Impact on Speed of Learning and Task Performance in Aeronautical Engineering Technology Education

Misconceptions of vehicle automation functionalities lead to either non-use or dangerous misuse of assistant systems, harming the users’ experience by reducing potential comfort or compromise safety. Thus, users must understand how and when to use an assistant system. In a preliminary online survey, we examined the use, trust, and the perceived understanding of modern vehicle assistant systems. Despite remaining incomprehensibility (36–64%), experienced misunderstandings (up to 9%), and the need for training (around 30%), users reported high trust in the systems. In the following study with first-time users, we examine the effect of different User Onboarding approaches for an automated parking assistant system in a Tesla and compare the traditional text-based manual with a multimodal augmented reality (AR) smartphone application in means of user acceptance, UX, trust, understanding, and task performance. While the User Onboarding experience for both approaches shows high pragmatic quality, the hedonic quality was perceived significantly higher in AR. For the automated parking process, reported hedonic and pragmatic user experience, trust, automation understanding, and acceptance do not differ, yet the observed task performance was higher in the AR condition. Overall, AR might help motivate proper User Onboarding and better communicate how to operate the system for inexperienced users.

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A review of augmented reality systems and their effects on mental workload and task performance

Heliyon ◽

10.1016/j.heliyon.2021.e06277 ◽

2021 ◽

Vol 7 (3) ◽

pp. e06277

Author(s):

Nor Farzana Syaza Jeffri ◽

Dayang Rohaya Awang Rambli

Keyword(s):

Augmented Reality ◽

Task Performance ◽

Mental Workload ◽

And Task

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Evaluation of Hologram Distances in Reducing Shoulder Stress During Augmented Reality Interactions

Proceedings of the Human Factors and Ergonomics Society Annual Meeting ◽

10.1177/1071181320641201 ◽

2020 ◽

Vol 64 (1) ◽

pp. 868-871

Author(s):

Jeong Ho Kim ◽

Hemateja Ari ◽

Charan Madasu ◽

Jaejin Hwang

Keyword(s):

Augmented Reality ◽

Task Performance ◽

Repeated Measures ◽

Deltoid Muscle ◽

Design Factor ◽

Repeated Measures Design ◽

Upper Trapezius ◽

Shoulder Flexion ◽

The Right ◽

And Task

This study investigated the effect of different hologram distances on the shoulder postures, muscle activities, and the task performance (speed) during Augmented Reality (AR) interactions. With a repeated- measures design, 20 participants (10 males) performed the 3-D cube task involving gaze, pinching, and dragging gestures by different hologram distances: near (30 cm), middle (60 cm), and far (90 cm) relative to the participant. Meanwhile, muscle activities (upper trapezius, anterior and middle deltoid) and the right shoulder postures were measured. The results showed that hologram distances significantly affected middle deltoid muscle activities and shoulder flexion and abduction angles, and task performance during 3-D cube task ( p’s < 0.001). The far hologram distance resulted in higher middle deltoid muscle activity and shoulder angles compared to the near and middle distances. Task performance was higher when the hologram was displayed in the middle compared to the near and far distances ( p’s < 0.001). These results indicate that a hologram distance may be an important design factor affecting users’ shoulder stress and task performance during AR interactions.

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Tele-mentoring using augmented reality technology in healthcare: A systematic review

Australasian Journal of Educational Technology ◽

10.14742/ajet.6243 ◽

2021 ◽

pp. 81-101

Author(s):

Dung Trung Bui ◽

Tony Barnett ◽

Ha T. Hoang ◽

Winyu Chinthammit

Keyword(s):

Systematic Review ◽

Augmented Reality ◽

Task Performance ◽

Field Of View ◽

Bibliographic Databases ◽

Task Completion ◽

Battery Life ◽

Real Patient ◽

Healthcare Environments ◽

And Task

This systematic review aimed to identify how tele-mentoring systems that incorporate augmented reality (AR) technology are being used in healthcare environments. A total of 12 electronic bibliographic databases were searched using the terms “augmented reality”, “tele-mentoring” and “health”. The PRISMA checklist was used as a guide for reporting. The mixed method appraisal tool was used to assess the quality of the included experiments. The data were then analysed using a concept-centric approach and categorised primarily with regards to system performance and task performance measures. A total of 11 randomised controlled trials and 14 non-randomised designs were included for review. Both mentees and mentors assessed the system and task performance according to 25 categories. The feedback of mentees using AR tele-mentoring systems was generally positive. The majority of experiments revealed that the AR system was an effective tele-mentoring device overall and resulted in the effective performance of a procedure. Benefits included improvements in trainees’ confidence, task completion time and reductions in task errors and shifts in focus. However, the systems had limitations, including heaviness of the equipment, inconvenience, discomfort and distraction of wearing devices, limited battery life, the latency of video and audio signals and limited field of view. Implications for practice or policy: Health practitioners can apply AR technology to receive and follow real-time annotated instructions verbally and visually from remote experts. Technical developers may consider improving AR devices in terms of lighter weight, larger field of view, more ergonomic design, more stable network connection and longer battery life. Further AR-related experiments may need to explore AR tele-mentoring systems’ utility across healthcare environments with larger samples, real patient populations in remote settings, cost-benefit analysis and impacts on short- and long-term patient outcomes.

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