Effects of Lateral Eye Displacement on Comfort While Reading from a Video Display Terminal
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Authors
Haynes, Malcolm
Starner, Thad
Issue Date
2018-01-08
Type
journal-article
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Keywords
Human-centered computing , Human computer interaction
Alternative Title
Abstract
Some small field-of-view (FOV) head worn displays (HWD), like Epson's Moverio BT-300, are mounted directly in the user's line of sight. In contrast, Google Glass is mounted “out of the way” and above the line of sight. Other displays like the Vuzix M100 or Optinvent ORA-1 allow the user to adjust the display position, and some users have expressed a desire for the display to be laterally displaced toward the ear, out of the main line of sight. How far toward the ear can a small FOV display be mounted and still be used comfortably? Using a 30-minute reading task and an emulated display with the FOV of a typical smart phone (9.2°x 16.3°), we study a user's perceived comfort level while reading at four horizontally displaced positions. We ask participants to rate their comfort every five minutes using a 5-point Likert scale knob (5 being most comfortable), for a total of seven measurements. Scores are summed over the seven measurements to form a summed comfort score. We find that 0° (Md = 34.0; p«0.001), 10° (Md = 33.5; p«c0.001), and 20° (Md = 33.5; p«c0.001) are more comfortable than 30° (Md = 29.5) and that 0° (p<0.01) and 10° (p<0.01) are more comfortable than 20°. Reading performance and workload measures were numerically similar across all conditions. Given the main results of the experiment, post-hoc analysis on other measurements such as preference and asthenopia, and participant comments, we suggest that small FOV displays should be mounted at lateral displacement angles of 20° and less for sustained use.
Description
Citation
Malcolm Haynes and Thad Starner. 2018. Effects of Lateral Eye Displacement on Comfort While Reading from a Video Display Terminal. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 1, 4, Article 138 (December 2017), 17 pages. https://doi.org/10.1145/3161177
Publisher
Association for Computing Machinery (ACM)
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PubMed ID
ISSN
2474-9567