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음성기반 Human-AI Interaction에서 인적요인이 주관적 감성에 미치는 영향
신종규(Jonggyu Shin),허인석(Inseok Heo),Ismatullaev Ulugbek Vahobjon U,김상호(Sangho Kim) 대한인간공학회 2020 대한인간공학회 학술대회논문집 Vol.2020 No.10
Objective: To identify human factors and design parameters that affect user emotion arising from interaction with voice-based intelligent systems. Background: Technology that secures human emotional satisfaction is very important. Recently, AI-infused systems can be developed in the direction of meeting human needs through machine(and deep) learning. Therefore, it is necessary to design guidelines for an intelligent system to evolve in a direction that can secure human emotional satisfaction. Method: Determine human factors and design variables based on prior research. Human factors and design variables are evaluated through experiments using emotional engineering techniques. Emotional factors are derived through factor analysis and emotional differences are analyzed using ANOVA. Results: Among the three human factors (gender, interest in new technology, personality) and the four design speed variables (speech, pitch, structure, and), personality and speed did not affect emotional change. Conclusion: A customized intelligent system can be designed based on human factors and design variables that affect the interaction with the AI-Infused system. Application: This framework will be used as a basic research for integrated emotional evaluation using bio-signals.