Response Times when Interpreting Artificial Subtle Expressions are Shorter than with Human-like Speech Sounds


論文アブストラクト:Artificial subtle expressions (ASEs) are machine-like expressions used to convey a system's confidence level to users intuitively. In this paper, we focus on the cognitive loads of users in interpreting ASEs in this study. Specifically, we assume that a shorter response time indicates less cognitive load, and we hypothesize that users will show a shorter response time when interpreting ASEs compared with speech sounds. We succeeded in verifying our hypothesis in a web-based investigation done to comprehend participants' cognitive loads by measuring their response times in interpreting ASEs and speeches.