Display Movement Velocity and Dynamic Visual Search Performance

Abstract

In practice, many visual search tasks are performed under dynamic conditions. An experiment was conducted here to test visual search strategy adopted by a person in a dynamic visual search and to investigate the effects of display movement velocity on search time and detection accuracy in it. Thirty‐five participants were randomly tested with all 10 angular velocities of 0, 2, 4, 6, 8, 10, 12, 14, 16, and 32 deg/s. The data obtained fitted the random search model well. The results revealed that observers utilized a random search strategy during the dynamic visual search process and that display movement velocity influenced search performance. In comparison with static visual search, an angular velocity faster than 4 deg/s resulted in a significant decrement in search performance. The variations of duration of individual fixations, the probability of target detection in a single fixation and visual lobe area were discussed. The obtained relationships between display movement velocity, search time and detection accuracy can serve as a useful guide for designing a dynamic search task, thus helping to maximize the cost‐effectiveness of dynamic search tasks while minimizing errors and misses during the search process.

Determining effects of virtually and physically present co‐actor in evoking social facilitation

“…Target images were black standard Landolt Cs with four orientations (up, down, left, and right). Previous research results showed that Landolt Cs with four orientations presented the same difficulties in visual search tasks (Yu & Chan, ). The type of target images was randomly selected by the software.…”

Efficiency improvement by navigated safety inspection involving visual clutter based on the random search model

“…Visual search capacity can be defined in terms of the percentage of targets detected against the time consumed. Theoretically, the RSM is captured by an exponential curve, while the systematic model is captured by a linear function [19,21]. In addition, when the background area is larger than the search target, observers tend to follow the random search strategy [20,21,23].…”

“…Apart from that, previous studies on the RSM mainly focused on exploring the performance of the RSM in various scenarios. Yu et al [19] found that the traditional RSM performed very well on static visual search tasks under dynamic conditions. Chan et al [20] used the RSM for a double-target search task and the results showed that the RSM fitted both the individual and pooled data very well.…”

“…As for the search time of target detection, researchers previously relied on certain assistant software to guide participants to perform a search task on pictures containing targets and distractions [19,20]. By registering the left button clicks of a mouse when starting or stopping a task, the software recorded the start and end time of the search process.…”

Effects of Auditory Cues for Linear and Differential Magnification Methods on Visual Inspection Performance

“…Many electronic and mechanical components used in consumer products have been miniaturized, so much so that magnification is now a commonly applied means of improving task visibility in quality inspection tasks. There have been many studies on visual search (Sarac, Batta, & Drury, ; Shive & Francis, ) and visual inspection (Chan & Ng, ; Kotani, Nakajima, Asao, & Horii, ; C. L. Lin, Chen, Twu, & Wang, ; L. T. Lin, Liang, Hwang, & Wang, ; Rao, Bowling, Khasawneh, Gramopadhye, & Melloy, ; Tetteh, Jiang, Mountjoy, Seong, & McBride, ; Jiang, Gramopadhye, Melloy, & Grimes, ; Yu & Chan, in press) over the past 50 years or so (Erickson, ; Krendel & Wodinsky, ). These studies include examination of human search performance under different test conditions, such as level of background luminance, contrast, and the presence of glare; the relationship between search time and peripheral visual acuity; visual field mapping; the effects of training and job aids on visual inspection; the modeling of visual search; and the application of visual search model to map display design.…”