Attention Under Digital Distraction: An Eye-Tracking Study on the Effectiveness of Blocking Interventions

Engineering notes

Key topics: autonomous driving, control. 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

Individuals are increasingly exposed to digital distractions with potential negative consequences. While blocking interventions can be mitigators, little is known about how different blocking modes and distractors influence attentional mechanisms and task performance. Drawing on the process model of self-control, we examine how self-deployed and other-deployed blocking affect attentional mechanisms and task outcomes under digital distraction. We conducted a laboratory experiment with eye-tracking to capture real-time attentional dynamics during a reading comprehension task. Participants were assigned to four conditions: no distraction, distraction without intervention, distraction with self-deployed blocking, and distraction with other-deployed blocking. Results show that digital distractions reduce task attentional engagement, while blocking interventions reduce attentional engagement with distractors. Self-deployed blocking leads to lower attentional capture and dwelling on distractions compared to other-deployed conditions. The findings advance our understanding of digital distractions by revealing underlying attentional mechanisms and highlighting the importance of user autonomy in designing attention management interventions.

Links and sources

• PDF from original source

Comments