The Importance of Cueing While Visually Searching a 360 Degree Environment for Multiple Targets in the Context of Autonomous Driving
archive: archived pipeline: cataloged verified
Get this paper ↗ (DOI — opens at the source; we link to it, we don't host it)
Summary
This study investigates the efficacy of visual cueing strategies for complex visual search tasks within a 360-degree effective field of regard (EFOR), specifically addressing the challenges posed by multiple targets and distractors. The research is motivated by the need to optimize user performance in high-stakes environments such as autonomous driving, search and rescue, and medical triage, where users must identify multiple objects amidst clutter. While prior research has largely focused on sequential single-target searches or limited fields of view, this work addresses a gap in understanding how cues perform when users must manage cognitive load across a full 360-degree environment with competing visual stimuli. The researchers conducted an experiment using a Meta Quest Pro virtual reality headset within an 8m by 8m virtual environment containing buildings with 70 potential search locations. Participants performed a visual search task requiring them to locate ten targets while ignoring twenty distractors of varying similarity. The study compared four conditions: a baseline with no cues, and three cue designs—Gaze Line (a red line extending from the user’s view to the target), 2D Wedge, and 3D Arrow. An adaptive algorithm dynamically selected the closest target within the user’s field of view to cue, rather than cueing all targets simultaneously or sequentially. Data collected included search time, accuracy, and reported mental demand via the Paas scale. The results demonstrate that providing visual cues significantly improves performance compared to the no-cue baseline. Among the tested designs, the Gaze Line proved to be the most beneficial, offering superior performance in terms of search efficiency and reduced cognitive load. The study confirms that while all cue types provided advantages over no cueing, the specific design of the cue impacts its effectiveness, with the Gaze Line’s ability to clearly communicate direction and location relative to the user’s current view proving optimal. The adaptive selection mechanism, which prioritized the nearest target in the field of view, was found to reduce unnecessary movement and spatial tracking demands compared to simultaneous or rigid sequential cueing methods. These findings underscore the critical importance of integrating adaptive visual cueing in augmented and virtual reality systems designed for complex search tasks. The study highlights that cue design must account for the full 360-degree nature of the environment and the presence of distractors to avoid overwhelming the user. By validating the Gaze Line as a superior design for multi-target, distractor-rich environments, the research provides actionable guidelines for interface designers in fields requiring rapid and accurate visual identification, such as autonomous vehicle monitoring and emergency response operations.
Provenance
The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via openalex_abstract on 2026-05-08 (3 acquisition events logged).
| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | author_sweep | — | — | 2 | 2026-05-28 |
| archive | success | canonical_url | — | — | 7 | 2026-06-09 |
| extract | success | cached | — | — | 2 | 2026-06-09 |
| clean | success | clean | — | — | 1 | 2026-06-04 |
| chunk | success | chunk | — | — | 1 | 2026-06-04 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-04 |
| enrich | success | openalex | — | — | 2 | 2026-05-08 |
| promote | success | — | — | — | 1 | 2026-05-07 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-09 |
| tag | success | vector_similarity | — | — | 15 | 2026-06-11 |
| verify | success | — | — | — | 1 | 2026-06-09 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-09; verification: verified.
Topics
Ranked by relevance to this paper. Hover a topic for its definition.