1G-6　Identifying Users^|^apos; Perceived Values toward Reality-Based Interaction, using Semantic Network Analysis

Abstract

Reality-Based Interaction has been adopted in various domains and had emerged as one of the key issues in the field of Human-Computer Interaction. Many studies have focused on the feasibility and performance of the newly proposed interaction, rather than users' real desire or expectations for the new technology. This study attempted to draw the value structureusers have in their mindabout newly introduced interactions: voice command recognition, dialogue interaction, semaphoric gesture interaction, and deictic gesture interaction. We employed semantic network analysis to visualize the value structure ofthe four interactions and to identify the most significant keywords for each interaction based on in-depth interview data. We finallyidentified the differencesin the value structure between the four interactionsand elicited keywords for each interaction.