A comparison of input devices in element pointing and dragging tasks
CHI '91 Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Communications of the ACM
The keystroke-level model for user performance time with interactive systems
Communications of the ACM
The Psychology of Human-Computer Interaction
The Psychology of Human-Computer Interaction
Precise selection techniques for multi-touch screens
Proceedings of the SIGCHI Conference on Human Factors in Computing Systems
Informing the Design of Direct-Touch Tabletops
IEEE Computer Graphics and Applications
Fitts' law as a research and design tool in human-computer interaction
Human-Computer Interaction
Using kinect for 2D and 3D pointing tasks: performance evaluation
HCI'13 Proceedings of the 15th international conference on Human-Computer Interaction: interaction modalities and techniques - Volume Part IV
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We present preliminary results of an experiment to compare gestural, touch, and mouse interaction using Fitts' law. A total of 15 participants were asked to select 100 targets as quickly and accurately as possible using each technique. Selection of targets was split into rounds of 20 (separated by a short break) in order to evaluate whether fatigue affected performance or whether performance improved/declined over time. The results found that gestural interaction performed much worse than touch and mouse interaction and recorded 3 times as many miss-selections. The poor results for gestural interaction were attributed to participant unfamiliarity and inaccuracies of the gesture-sensing device (Microsoft Kinect). Touch interaction performed comparably with mouse interaction although suffered with smaller targets due to occlusion and the impreciseness of a finger compared to a mouse cursor. Overall, performance remained fairly consistent over subsequent rounds. Fatigue did not have any effect.