Far periphery visual fields (≥ 60° eccentricities) offer great potential for designing informative peripheral displays. While Field of View (FOV) of various displays begins to push the boundary beyond far periphery, the potential of using the far periphery to encode and convey diverse information remains underexplored. Therefore, this study aims to provide information in far periphery, particularly for secondary tasks by investigating the possibility of using diverse Trace motion patterns. Each trace is generated by a small dot (1°-3°) moving across frames. We investigate the perception of geometric shape traces and directional line traces, revealing a mean accuracy of 92.7% for 12 geometric shapes and 95.7% for 64 directional lines at approximately 10° size at 60° eccentricity. We then select 22 Trace patterns and evaluate their effectiveness compared with Blink in conveying diverse secondary information in a driving scenario, a typical visually intensive task with high cognitive workload. The results demonstrate that Trace is generally more noticeable, understandable, comfortable, and less distracting to the primary task. Taken together, we suggest that diverse Trace motion patterns can be easily distinguished and are effective in presenting information in the far periphery. We discuss our findings and provide design implications for future motion graphic design in peripheral displays.

This paper presents FlexHaptics, a design method for creating custom haptic input interfaces. Our approach leverages planar compliant structures whose force-deformation relationship can be altered by adjusting the geometries. Embedded with such structures, a FlexHaptics module exerts a fine-tunable haptic effect (i.e., resistance, detent, or bounce) along a movement path (i.e., linear, rotary, or ortho-planar). These modules can work separately or combine into an interface with complex movement paths and haptic effects. To enable the parametric design of FlexHaptic modules, we provide a design editor that converts user-specified haptic properties into underlying mechanical structures of haptic modules. We validate our approach and demonstrate the potential of FlexHaptic modules through six application examples, including a slider control for a painting application and a piano keyboard interface on touchscreens, a tactile low vision timer, VR game controllers, and a compound input device of a joystick and a two-step button.