Interaction Engineering Student Projects
Improving tap performance
Florian Lehmann
The correction of touch input on smartphone surfaces is a current topic in the field of human-computer interaction. This work is a follow-up project based on our prior study that investigated taps on smartphone surfaces in detail. The main content of this work is the introduction of an algorithm which corrects touch offsets and an empiric study with 9 participants which evaluates the correction. In two conditions the participants had the task to tap on randomly appearing squares. The participants had to accomplish 500 trials per condition. In both conditions the participants had to hold and use the smartphone the same way but in one condition the correction algorithm was applied. In a questionnaire we asked the participants if they encountered a difference between both conditions. Seven participants did not encounter a difference. We analyzed the taps in terms of error rates and touch offsets. The results show that the algorithm can help to reduce error rates of taps. For the future it is planned to conduct a large scale public study utilizing gamification to test several approaches in correcting touch events.
Keywords
Touch interaction Tap performance