Unveiling the Untapped: Extracting Tacit Knowledge from Experienced Construction Workers through Visual Attention Interfaces

This research explores novel methods for extracting tacit knowledge, which is the expertise often unarticulated and difficult to explain. Due to its implicit nature, effectively transferring this knowledge traditionally requires close interaction with experienced construction workers. This paper proposes utilizing visual attention-based human-computer interfaces (HCIs) to understand and potentially capture this valuable knowledge. Building on the link between eye gaze and unconscious thought, the research focuses on developing interfaces that track the visual attention of experts during tasks where their expertise shines. This paper presents two novel HCIs that enhance the capabilities of traditional gaze tracking: Hybrid Eye Tracking with EEG: This system combines eye trackers with electroencephalography (EEG) to improve gaze estimation accuracy. By analyzing EEG waves, the system compensates for limitations inherent in camera-based eye trackers. Integrating both modalities allows for a more robust and accurate understanding of where the user is looking. Tracking Peripheral Attention with EEG: This interface goes beyond traditional gaze tracking by using EEG to detect peripheral attention, where the user is aware of something in their visual periphery (even if they are not directly looking at it). This capability is achieved through the use of specific visual stimuli that elicit specific brainwave patterns. This breakthrough opens possibilities for interfaces with a greater number of potential targets spread across the visual field. These advancements contribute to the understanding and potential extraction of tacit knowledge by providing deeper insights into the user’s visual attention and the cognitive processes behind it. This paves the way for future research in knowledge transfer and expertise capture through human-computer interaction.