Participant biases can influence proposed gestures in elicitation studies. There is a legacy bias from previous experience with, or even knowledge of, existing input devices, interfaces, and technologies. There is also a performance bias, where the artificial study setting does not encourage consideration of long-term aspects such as fatigue. These biases make it especially difficult to uncover gestures appropriate for whole-body gestural input. We propose using soft constraints to correct for legacy and performance biases by penalizing physical movements. We use wrist weights as a soft constraint to elicit whole-body gestures with low arm fatigue. We show soft constraints encourage a wider range of gestures using subtler arm movements or alternate body parts and lower consumed endurance for arm movements.

Jaime Ruiz and Daniel Vogel. 2015. Soft-Constraints to Reduce Legacy and Performance Bias to Elicit Whole-body Gestures with Low Arm Fatigue. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 3347-3350.

@inproceedings{Ruiz:2015:SRL:2702123.2702583,
 author = {Ruiz, Jaime and Vogel, Daniel},
 title = {Soft-Constraints to Reduce Legacy and Performance Bias to Elicit Whole-body Gestures with Low Arm Fatigue},
 booktitle = {Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems},
 series = {CHI '15},
 year = {2015},
 isbn = {978-1-4503-3145-6},
 location = {Seoul, Republic of Korea},
 pages = {3347--3350},
 numpages = {4},
 url = {http://doi.acm.org/10.1145/2702123.2702583},
 doi = {10.1145/2702123.2702583},
 acmid = {2702583},
 publisher = {ACM},
 address = {New York, NY, USA},
 keywords = {elicitation studies, whole-body gestures},
}