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Visual acuity (dashed circle) and display configurations. 

Visual acuity (dashed circle) and display configurations. 

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As display technology continues to improve, there will be an increasing diversity in the available display form factors and scales. Empirical evaluation of how display attributes affect user perceptions and performance can help designers understand the strengths and weaknesses of different display forms, provide guidance for effectively designing m...

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... second goal was to determine if the curvature of such large displays affects user performance for geospatial tasks (Figure 4). Therefore, we also hypothesized that curving the display would decrease the amount of time spent physically navigating, allowing for more time on task. Users would only have to turn rather than walk to far away pixels. Our main motivation for curving the displays was not to find an optimal curvature but to see if there exist any benefits of curving a display compared to keeping it flat. Therefore, we chose the same curve radius for all curved conditions (Figure 5). Furthermore, we also wanted to determine if there is an interaction effect between size and ...
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... independent variables for this experiment were display size, curvature, task type, and task difficulty. We chose three display sizes: one monitor, twelve monitors, and twenty-four monitors. For conditions requiring fewer monitors, the modified TerraServer Blaster [50] application we were using to display aerial imagery was simply resized to fit a subset of the monitors in the display. For the curvature variable, we chose two curvatures: flat, and a curve with radius equal to 30 inches ( Figure 5) which put all of the screens within the visual acuity range of a user with average vision seated at the center. We tested five of the six conditions (Table 1). The one monitor curved condition is not applicable since we could not curve a single monitor. Display size and curvature were between-subject variables because of the time it takes to reconfigure the display, and the order of tasks within each task type was counterbalanced using two 4×4 Latin Square designs, where one dimension represented the task type and the other dimension represented four of the eight participants. Each task type had one easy and one hard task. Within each task type (e.g. the two search tasks), half of the participants would get the easy task first and the other half would get the harder task first. There were forty participants spread evenly across the five conditions, eight participants per condition. All participants were undergraduate or graduate students. The majority of ...

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