Journal article
Selection of key visual cues in real and virtual environments for assembly tasks
International journal of industrial ergonomics, Vol.74, p.102871
11/2019
DOI: 10.1016/j.ergon.2019.102871
Abstract
Previous research identified that learning assembly tasks in Virtual Environments (VEs) is more difficult than in Real Environments (REs). This work's objective is to identify the key visual areas for both environments when performing an assembly task for ten consecutive cycles, when following visual instructions and when having visual distractors. Using an eye-tracker, we identified the key visual areas required for an assembly task in both environments. Results indicate that practice allowed participants to reduce their assembly time in both environments. They also indicate that two areas, Assembly Area and Blocks, concentrated a higher proportion of eye-fixations; 59.98% for REs and 81.48% for VEs, with a statistically significant observation difference between environments (t-test value = −14.23, with p-value <0.00001 and Cohen's d = 6.36). We conclude that participants considered the same key visual areas for both environments and that VE interaction has a significant role in observation behavior.
•There are significant observation differences between real and virtual environments.•Virtual environments demand a higher amount of visual information.•In virtual environments Key areas demand a higher proportion of observations.
Details
- Title: Subtitle
- Selection of key visual cues in real and virtual environments for assembly tasks
- Creators
- Salvador Rojas-Murillo - Hofstra UniversityPriyadarshini R Pennathur - University of Iowa
- Resource Type
- Journal article
- Publication Details
- International journal of industrial ergonomics, Vol.74, p.102871
- Publisher
- Elsevier B.V
- DOI
- 10.1016/j.ergon.2019.102871
- ISSN
- 0169-8141
- eISSN
- 1872-8219
- Grant note
- DOI: 10.13039/501100001867, name: Malta Council for Science and Technology
- Language
- English
- Date published
- 11/2019
- Academic Unit
- Internal Medicine; Industrial and Systems Engineering
- Record Identifier
- 9984186684602771
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