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StockBabble: A Conversational Financial Agent to support Stock Market Investors

Sharma, Suraj, Brennan, Joseph, Nurse, Jason R. C. (2021) StockBabble: A Conversational Financial Agent to support Stock Market Investors. In: Proceedings of the 3rd Conference on Conversational User Interfaces (CUI 2021). . ACM E-ISBN 978145038998. (doi:10.1145/3469595.3469620) (KAR id:88386)

Abstract

We introduce StockBabble, a conversational financial agent designed to support understanding and engagement with the stock market. StockBabble's value and novelty is in its ability to empower retail investors -- many of which may be new to investing -- and supplement their informational needs using a user-friendly agent. Users have the ability to query information on companies to retrieve a general and financial overview of a stock, including accessing the latest news and trading recommendations. They can also request charts which contain live prices and technical investment indicators, and add shares to a personal portfolio to allow performance monitoring over time. To evaluate our agent's potential, we conducted a user study with 15 participants. In total, 73% (11/15) of respondents said that they felt more confident in investing after using StockBabble, and all 15 would consider recommending it to others. These results are encouraging and suggest a wider appeal for such agents. Moreover, we believe this research can help to inform the design and development of future intelligent, financial personal assistants.

Item Type: Conference or workshop item (Proceeding)
DOI/Identification number: 10.1145/3469595.3469620
Uncontrolled keywords: Chatbot, conversational agent, stock market, trading, finance, investment, FinBot
Subjects: H Social Sciences
Q Science > QA Mathematics (inc Computing science)
T Technology
Divisions: Divisions > Division of Computing, Engineering and Mathematical Sciences > School of Computing
Funders: Engineering and Physical Sciences Research Council (https://ror.org/0439y7842)
Depositing User: Jason Nurse
Date Deposited: 26 May 2021 17:12 UTC
Last Modified: 05 Nov 2024 12:54 UTC
Resource URI: https://kar.kent.ac.uk/id/eprint/88386 (The current URI for this page, for reference purposes)

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