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Cognitive Aid Design Using Diminished Reality to Support Selective Attention by Reducing Distraction.
Anne Collins McLaughlin1, Maribeth Gandy Coleman2, Vicky Byrne3
1NC State University, USA.
Diminished reality (DR) aids, a form of extended reality (XR), can reduce subjective workload during demanding tasks. While one study showed performance and awareness benefits, another found no performance differences, indicating task-specific effects.
Area of Science:
- Human-Computer Interaction
- Virtual Reality
- Extended Reality
Background:
- Extended reality (XR) enables manipulation of sensory input, offering potential to mitigate performance decrements caused by environmental distractions.
- Existing research confirms distractions negatively impact performance, but the specific effects of XR-based distraction removal remain underexplored.
Purpose of the Study:
- To investigate the impact of computationally diminishing reality on task performance, environmental awareness, and subjective workload.
- To compare the effects of universal versus context-aware diminished reality interventions.
Main Methods:
- Two experiments were conducted using a novel, demanding assembly task within a virtual reality (VR) environment.
- Participants included STEM graduate students and Johnson Space Center employees, assigned to either a full distraction control or a diminished reality (DR) condition.
- DR conditions involved either universal attenuation of distractions or context-aware filtering of non-task elements and unimportant audio.
Main Results:
- Both experiments demonstrated that diminished reality (DR) aids can significantly lower subjective workload.
- The STEM graduate student sample exhibited improved performance and environmental awareness with DR aids.
- The Johnson Space Center professional sample showed no significant performance differences, and awareness results were mixed across both samples.
Conclusions:
- Diminished reality (DR) interventions can yield outcomes comparable to complete distraction removal.
- Further research is necessary to elucidate the optimal design of distraction removal strategies in relation to specific task demands.
- Findings support the development of DR as a class of XR aids for managing attentional resources.
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