The HaptoBend is a foldable passive haptic feedback device for use with Virtual Reality Headsets. I helped create performance software that recorded user data, and executed a test procedure I designed for 20 participants to use the device in various contexts. What data I created is to be used in a secondary study to accompany the original done a year ago.
My work encompassed creating software in Unity which could measure the performance of users with simple docking tasks. These docking tasks start from a flat and upwardly folding position, and ask the user to fold the device into a specific position, match an orientation for it, and submit a result when they feel the device is close to the correct form.
The way my supervisors and I decided to measure performance came in a few perimeters. Time taken to achieve the target dock, accuracy of every rotation done by the user to match, and other Fitt’s Law based efficiency metrics. These real-time efficiency metrics included things like Target Re-Entry counts per angle and overall, or Movement Variability per angle and overall, taken from principles and mathematics from this similar study by York University. These tests are applied across each and every bend and axis as single axis measurements. Later they are then summarized across participants and by task sub-type.
These task categories are visible/invisible or procedural random asymmetric/preset symmetrical shapes as to analyze the specific qualities of the device’s usability such as pure haptic mental models against somewhat dissimilar visual feedback and how they develop over time. To wrap up I delivered documentation and data from the participants I tested.