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http://dx.doi.org/10.15207/JKCS.2020.11.11.063

Categorization of Interaction Factors through Analysis of AI Agent Using Scenarios  

Cheon, Soo-Gyeong (Dept. of Experience Design, Graduate School of Techno Design, Kookmin University)
Yeoun, Myeong-Heum (Dept. of Smart Experience Design, Graduate School of Techno Design, Kookmin University)
Publication Information
Journal of the Korea Convergence Society / v.11, no.11, 2020 , pp. 63-74 More about this Journal
Abstract
AI products are used 'AI assistants' as embedded in smart phones, speakers, appliances as agents. Studies on anthropomorphism, such as personality, voice with a weak AI are being conducted. Role and function of AI agents will expand from development of AI technology. Various attributes related to the agent, such as user type, usage environment, appearance of the agent will need to be considered. This study intends to categorize interaction factors related to agents from the user's perspective through analysis of concept videos which agents with strong AI. Framework for analysis was built on the basis of theoretical considerations for agents. Concept videos were collected from YouTube. They are analyzed according to perspectives on environment, user, agent. It was categorized into 8 attributes: viewpoint, space, shape, agent behavior, interlocking device, agent interface, usage status, and user interface. It can be used as reference when developing, predicting agents to be commercialized in the future.
Keywords
AI Agent; Artificial Intelligence; Smart home; Interaction; Scenario Analysis;
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