2021
DOI: 10.1016/j.apergo.2021.103423
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Performance differences between instructions on paper vs digital glasses for a simple assembly task

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Cited by 19 publications
(7 citation statements)
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References 31 publications
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“…Wang et al (2019) state that several users noticed visual fatigue after performing maintenance activities wearing Google Glasses. Rodriguez et al (2021) show that it took time for users' eyes to adapt to smart glasses, that they were uncomfortable, and that operators experienced headaches after wearing them for a while.…”
Section: Developing Alternative Assumptions -Slr Resultsmentioning
confidence: 99%
“…Wang et al (2019) state that several users noticed visual fatigue after performing maintenance activities wearing Google Glasses. Rodriguez et al (2021) show that it took time for users' eyes to adapt to smart glasses, that they were uncomfortable, and that operators experienced headaches after wearing them for a while.…”
Section: Developing Alternative Assumptions -Slr Resultsmentioning
confidence: 99%
“…This study also reported that the manual method was preferred by the users because monocular HMDs caused slight discomfort during the experiment. Similarly, Rodriguez et al (2021) also found that the use of OST‐HMDs had a poor satisfaction compared with the traditional method. The reasons were that people were more accustomed to traditional method, and the participants had difficulty to adjust visual angle and field of view when using OST‐HMDs (Rodriguez et al, 2021; Wang et al, 2019).…”
Section: Introductionmentioning
confidence: 89%
“…Similarly, Rodriguez et al (2021) also found that the use of OST‐HMDs had a poor satisfaction compared with the traditional method. The reasons were that people were more accustomed to traditional method, and the participants had difficulty to adjust visual angle and field of view when using OST‐HMDs (Rodriguez et al, 2021; Wang et al, 2019). Compared with monitor‐based AR applications, visual fatigue may influence human performance through the continuous use of head‐mounted AR applications (Odenthal et al, 2014; Pfendler & Schlick, 2007).…”
Section: Introductionmentioning
confidence: 89%
“…Note that during data coding, this scale was converted to a range from −3 to +3. The 26 items are organized into 6 groups, briefly summarized as follows: Attractiveness (e.g., Do users like or dislike the product); Stimulation (e.g., Is it exciting and motivating to use the product); Novelty (e.g., Is the product innovative and creative); Perspicuity (e.g., Is it easy to learn how to use the product); Efficiency (e.g., Can users solve their tasks without unnecessary effort); Dependability (e.g., Does the user feel in control of the interaction [51]. Attractiveness is assessed on valence.…”
Section: Data Collection Methodsmentioning
confidence: 99%