Design Foundations for AI Assisted Decision Making: A Self Determination Theory Approach

Triparna De Vreede, Mukhunth Raghavan, Gert-Jan De Vreede
2021 Proceedings of the 54th Hawaii International Conference on System Sciences   unpublished
Progress of technology and processing power has enabled the advent of sophisticated technology including Artificial Intelligence (AI) agents. AI agents have penetrated society in many forms including conversation agents or chatbots. As these chatbots have a social component to them, is it critical to evaluate the social aspects of their design and its impact on user outcomes. This study employs Social Determination Theory to examine the effect of the three motivational needs on user interaction
more » ... on user interaction outcome variables of a decision-making chatbot. Specifically, this study looks at the influence of relatedness, competency, and autonomy on user satisfaction, engagement, decision efficiency, and decision accuracy. A carefully designed experiment revealed that all three needs are important for user satisfaction and engagement while competency and autonomy is associated with decision accuracy. These findings highlight the importance of considering psychological constructs during AI design. Our findings also offer useful implications for AI designers and organizations that plan on using AI assisted chatbots to improve decision-making efforts.
doi:10.24251/hicss.2021.019 fatcat:xda7u3d4ljc3xpba63zc26n4by