Exploring Human-Centred Communication, Society & Technology

Home AI System Development (2016 – 2019), MSIT, South Korea

Project Description

Development of Intelligent Interaction Technology Based on Context Awareness and Human Intention Understanding” is a three-year project supported by the National Research Foundation of Korea. The goal of the study is to develop an artificial-intelligence driven system that offers users personalized recommendation based on data collected from the user and the home environment. The research team proposed and implemented the Case-Based reasoning paradigm and collective intelligence into our prototype. Briefly speaking, a set of new recommendations are produced based on past solutions and known knowledge about users, and several algorithms would vote for the optimal recommendation for the user. I took part in the project from April 2018 to September 2019. My duties included searching the literature, gathering and preprocessing home data, preparing academic article and presentation materials.

Advisor(s)

Professor Lee, Ji-Hyun, PhD, Associate Professor at the Graduate School of Culture Technology, KAIST

Publication(s)

Lee, I., Yi, T., Rhim, J., Narangerel, A., Shafiei Karaji, D., & Lee, J.-H. (2017). Case Representation of Daily Routine Data Through the Function Behavior Structure (FBS) Framework. In C. Stephanidis (Ed.), HCI International 2017 – Posters’ Extended Abstracts. HCI 2017. Communications in Computer and Information Science (pp. 382–389). https://doi.org/10.1007/978-3-319-58753-0_55

Yi, T., Lee, I., Lee, C., Lee, G. B., Kim, M., & Lee, J. (2018). Interactive Data Acquisition for CBR System Based Smart Home Assistant. Learning, Ptorotyping and Adapting: Proceedings of the 23rd CAADRIA Conference, 2, 525–534. Retrieved from http://papers.cumincad.org/cgi-bin/works/Show?caadria2018_237

P. Y. Lai et al., “Framework of Judgment System for Smart Home Utilizing Collective Intelligence Case-Based Reasoning,” in Intelligent & Informed, Proceedings of the 24th International Conference of the Association for Computer-Aided Architectural Design Research in Asia (CAADRIA) 2019, 2019, vol. 1, pp. 695–704.

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