Document Type
Article
Keywords
robot assistant; emerging technology for learning; multi-criteria decision making; SoTL
Publisher
Association for the Advancement of Computing in Education
Rights Management
© 2023 Association for the Advancement of Computing in Education (AACE)
Abstract
We propose a system and method for a robot assistant for teaching multi-attribute decision making (MCDM). Through questions and answers in natural language, the robot assistant learns the user’s preferences on multiple criteria involving a selection decision and makes recommendations using data on each criterion and the learned user preferences. It will include a use-case demonstration where NAO the robot will assist a human in forming a simple portfolio of mutual funds. Presenters will illustrate the architecture of the robot assisted MCDM and describe a method that is extensively used to structure complex decision problems and has been applied to a variety of problems in a diverse set of disciplines, such as selecting a project, selecting a life insurance contract, selecting public relations firms, deciding on library acquisitions, hostage negotiations, selecting sites for wildlife management, and selecting a nonprofit for donation.
Comments
Zhang, C., Saraoglu, H. & Louton, D. (2023). On Teaching Multi-Criteria Decision Making with a Robot Assistant. In T. Bastiaens (Ed.), Proceedings of EdMedia + Innovate Learning (pp. 1531-1535). Vienna, Austria: Association for the Advancement of Computing in Education (AACE). Retrieved August 18, 2023 from https://www.learntechlib.org/primary/p/222676/.