Analysis of User Experience of Hand Gestures for Interaction with Wearable Devices

Abstract

The wearable device market is growing rapidly, as evidenced by the growth in sales of smartwatches. However, these have a tiny touch screen so users cannot perform complex operations with a smartwatch. Few studies address the user experience of gestures to interact with wearable devices. This study uses a bone-conduction smartwatch to study the user experience of gestures for interaction with a wearable device in terms of four dimensions: pragmatic quality, hedonic quality–identification and hedonic quality–stimulation and attractiveness. Task loads ae also evaluated for further analysis of the user experience This study determines the relationship between these factors to determine the effect of using hand gestures to interact with wearable devices.

The results of this study show that all of the users easily accept gesture interaction with wearable devices. Pragmatic quality, hedonic quality–identification and hedonic quality–stimulation are positively associated with attractiveness. A higher level of attractiveness reduces the perceived task load. Attractiveness has a significant positive effect on performance and task load has a significant negative effect on performance.

Keywords:

• Wearable device
• hand gesture interactions
• user experience
• task load

Additional information

Funding

This work was supported by National Science and Technology Council, Taiwan.

Notes on contributors

Shan He

Shen He is a Master of Science of Institute of Information Management at Fu Jen Catholic University in Taiwan. Her master’s thesis is to study the user experience of wearable devices. She currently works IT professional jobs in the enterprise in China.

Wei-Feng Tung

Wei-Feng Tung is a Professor in Department of Information Management at Fu-Jen Catholic University in Taiwan. Her work focuses specifically on the service innovation and user interactive experience of the new information technologies. Her recent publication can be found in Library Hi-Tech.

Shiang-Lin Lin

Shiang-Lin Lin is an Assistant Professor in Department of Information Management, College of Management Fu Jen Catholic University in Taiwan. His research interests include consumer behavior, blockchain, big data analysis and multi-criteria decision-making, etc. His papers appeared on Computers in Human Behavior, Service Business, International Journal of Mobile Communications, etc.