Skills-Transfer and Gaze Strategies Studied by Eye-Tracking: A Systematic Review

Engineering notes

Key topics: autonomous driving. See the paper for implementation details and experimental results.

Chinese explanation / 中文解读

中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。

Original abstract

Abstract The ability to comprehend and interpret visualizations has garnered increasing attention in recent years. Individuals with specialized knowledge and experience in a particular field exhibit distinct patterns in how they perceive, process, and retain information related to that area. Extensive research across various domains has demonstrated that expertise confers perceptual and cognitive benefits in engaging with domain-relevant information. Eye-tracking methodology has provided significant insight into some of the perceptual mechanisms underlying performance differences between experts and novices in various professional settings, including aviation, car driving, medicine, arts, cartographic research and sports. The opportunity to access tacit expert knowledge, to improve efficiency of task performance and potentially to enhance safety measures has gained growing attention over the past years. This article conducts a systematic literature review to consolidate literature describing the application of gaze behavior as an adjunct tool to traditional teaching methods. Building on the proposed conceptual framework, we systematically reviewed the training potential of eye movements. Our results reveal that gaze-trained individuals exhibit a performance advantage over traditionally trained counterparts and that the impact and feasibility of expert skills transfer through gaze behaviors are moderated by different factors. We summarize the benefits of using expert gaze as a visual cue (e.g. EMMEs) in terms of attention-modeling processes, human performance and safety in work environment.

Links and sources

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