Understanding the user acceptance of gesture-based human-computer interactions

Abstract

This study empirically evaluates how user perceptions and attitudes influence behavioral intention use of multi-touch gestures on a large multi-touch screen by using Technology Acceptance Model (TAM). In the study the researchers presented 20 novice users with an introduction and hands-on of multi-touch gestures on window, object and image manipulations. Following the hand-on session, data on user perceptions and attitudes about multi-touch gestures were gathered. The hierarchical multiple regression analyses were employed to test the hypothesized study model. The analysis results showed that both the user perceptions and attitudes have significant positive effects on user behavioral intention to use multi-touch gestures on computer applications. Suggestions for future research and conclusions for both researchers and practitioners are offered.