Journal of the Korea Convergence Society (한국융합학회논문지)

Korea Convergence Society (한국융합학회)
권호 표지
DOI QR코드

DOI QR Code

Categorization of Interaction Factors through Analysis of AI Agent Using Scenarios

인공지능 에이전트의 사용 시나리오 분석을 통한 인터랙션 속성 유형화

  • 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)
  • 천수경 (국민대학교 TED 경험디자인학과) ;
  • 연명흠 (국민대학교 TED 스마트경험디자인학과)
  • Received : 2020.09.22
  • Accepted : 2020.11.20
  • Published : 2020.11.28
Download PDF
⟨ Previous Next ⟩

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.

인공지능 제품은 스마트폰이나 스피커, 가전제품에 에이전트로 내장되어 '인공지능 비서'로 활용되고 있으며, 현재는 약 인공지능 수준으로 에이전트의 성격, 목소리 등 의인화에 관한 연구가 진행되고 있다. 향후 인공지능 기술 발전으로 지능형 에이전트의 역할과 기능이 확장될 것으로 보이며, 사용자 유형, 사용환경, 에이전트 외관 등 에이전트 관련 다양한 속성에 대한 고려가 필요할 것으로 보인다. 따라서 본 연구에서는 강한 인공지능 에이전트가 나타나는 컨셉 영상 시나리오의 분석을 통해 사용자 관점에서 에이전트의 인터랙션 속성들을 유형화하였다. 연구방법으로 에이전트에 대한 이론적고찰을 토대로 분석을 위한 프레임워크를 구축하였다. 이후 대중화된 영상시청 플랫폼인 유튜브(Youtube)를 활용하여 다수의 영상 시나리오를 수집 및 선별하고 환경, 사용자, 에이전트 관점에 따라 분석하였다. 그 결과 시점, 공간, 형태, 에이전트 행위, 연동기기, 에이전트 인터페이스, 사용상태, 사용자 인터페이스 8개 속성을 유형화하였다. 이는 향후 상용화될 에이전트의 개발 및 예측 시 참고자료로 활용될 것으로 기대된다.

Keywords

References

  1. Doopedia. (2020.06.10.). Naver. Artificial intelligence. https://terms.naver.com/entry.nhn?docId=1136027&cid=40942&categoryId=32845
  2. J. R. Searle. (1980). Minds, brains, and programs. Behavioral and Brain Sciences. 3(3). 417-457. DOI : 10.1017/S0140525X00005756
  3. M. W. Jang., G. L. Lee & B. E. Min. (1997). Agent technology. Electronics and Telecommunications Trends. 12(6). 58-69. DOI : 10.22648/ETRI.1997.J.120606
  4. Telecommunications Technology Association. (2020.06.10.). Naver. Information technology dictionary. https://terms.naver.com/entry.nhn?docId=3586623&cid=59277&categoryId=59278
  5. S. J. Russell & P. Norvig. (1995). Artificial intelligence: a modern approach. New Jersey: Prentice Hall.
  6. H. T. Yang., B. S. Choi., J. Y. Lee., H. Jang., S. I. Back & D. B. Kim. (2018). A prospective analysis of artificial intelligence(AI) technology and innovation policies : focused on improving korea's national AI R&D policy. Sejong: Science and Technology Policy Institute.
  7. M. Sharma. (2020.06.10.). Includehelp. PEAS based grouping of agents in artificial intelligence. https://www.includehelp.com/ml-ai/PEAS-based-grouping-of-agents-in-artificial-intelligence.aspx
  8. Ethno Hub. (2020.06.10.). Ethno Hub. AEIOU framework. https://help.ethnohub.com/guide/aeiou-framework
  9. M. B. Rosson & J. M. Carroll. (2002). Usability engineering: scenario-based development of human-computer interaction. Burlington : Morgan Kaufmann.
  10. Y. W. Jang., G. M. Lim., H. L. Lee & M. S. Kim. (2011). Appearance design for the future robotic computer based on scenario analysis. KSDS Conference Proceeding. 6-7.
  11. H. J. Lee & D. O. Kim. (2004). Interaction design factors from ubiquitous scenario cases. KSDS Conference Proceeding. 328-329.
  12. LG Home Appliance & Air Solution. (2017.9.4.). Youtube. LG smart home & IoT. https://www.youtube.com/watch?v=6UgM9-JCfUw
  13. Samsung. (2020.1.7.). Youtube. Samsung. [CES 2020] A waltz for Ballie | Samsung. https://www.youtube.com/watch?v=c7N5UDZX7TQ
  14. Electrolux. (2017.8.30.). Youtube. Electrolux design explores the smart home of the future. https://www.youtube.com/watch?v=jGdMGTXOvGc&t=2s
  15. Qualcomm. (2018.7.3.) Youtube. An IoT smart home with AI, powered by Qualcomm technologies. https://www.youtube.com/watch?v=KawsGh9bZgQ
  16. Hitachi Brand Channel. (2018. 3. 13.). Youtube. Visions for future cities and homes "aging with me"-Hitachi. https://www.youtube.com/watch?v=GmOSNwdrC20
  17. innovation top. (2015.9.4.). Youtube. JIBO: the world's first social robot for the home. https://www.youtube.com/watch?v=H0h20jRA5M0&t=54.s
  18. Moorebot Robot. (2016.8.17.). Youtube. Moorebot product video v3. https://www.youtube.com/watch?v=mJ-CAk4MSns&t=20s
  19. Aido Home Robot. (2016.2.23.). Youtube. Aido : next gen home robot. https://www.youtube.com/watch?v=bDKQlqMLQ0k
  20. Startup View. (2016.6.30.). Youtube. Pillo - your personal home health robot. https://www.youtube.com/watch?v=GfjGPTKBFB4&t=2s
  21. Temi Robot. (2017.9.7.). Youtube. Temi: the personal robot. https://www.youtube.com/watch?v=3bnGG4Xo0GE&t=2s
  22. UBTECH Robotics. (2019.11.18.). Youtube. UBTECH 'walker': intelligent humanoid service robot. https://www.youtube.com/watch?v=Iryqtfym7oo&t=2s
  23. Emotech Olly Robot. (2017.9.29.) Youtube. Olly - the first home robot with personality. https://www.youtube.com/watch?v=SraNMzbi_G4&t=3s
  24. Sony. (2017.11.6.). Youtube. Sony's smart home with the google assistant. https://www.youtube.com/watch?v=eya-ynS_rCo&t=3s
  25. TRY. (2018.8.31.). Youtube. Smart house - english version-REMA 1000. https://www.youtube.com/watch?v=nwPtcqcqz00
  26. TRY. (2019.2.11.). Youtube. Smartmill (smart house 2) english version - REMA 100. https://www.youtube.com/watch?v=ZzSzkAuKPe0
  27. Design 3. (2017.11.10.). Youtube. Carl - a smart home robot concept. https://www.youtube.com/watch?v=tvlRnbHTVH4