Shaping the experience of a cognitive investment adviser

Abstract

In this paper we describe the design process of a multi-bot conversational system to assist people to make more informed decisions about finance. Several user activities were held to understand the experience of investment decisions, the opportunities to design financial cognitive advisers, and the user perceptions of such systems. Valuable information was gathered from four user studies which assisted the project team to decide what would be the best approach to help people to make more informed decisions about investments using technology. The user studies findings highlighted that financial decisions are made based on information people receive from friends, news, and social networks, which led us to explore intelligent systems that would gather such information and play the role of financial advisers in a multiparty conversational system. We discuss the main design implications of our studies in the context of a prototype called CognIA and conclude discussing several challenges of designing conversational systems.