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StockBabble: A Conversational Financial Agent to support Stock Market Investors

Published: 27 July 2021 Publication History

Abstract

We introduce StockBabble, a conversational 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.

References

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Cited By

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  • (2024)DECI: The 2nd Tutorial on Designing Effective Conversational InterfacesAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3658531(5-8)Online publication date: 27-Jun-2024
  • (2024)A Survey of Conversational Styles and Systems2024 16th International Conference on Human System Interaction (HSI)10.1109/HSI61632.2024.10613569(1-4)Online publication date: 8-Jul-2024
  • (2024)Knowledge-Enhanced Conversational AgentsJournal of Computer Science and Technology10.1007/s11390-024-2883-439:3(585-609)Online publication date: 22-Jul-2024
  • Show More Cited By

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Information & Contributors

Information

Published In

cover image ACM Other conferences
CUI '21: Proceedings of the 3rd Conference on Conversational User Interfaces
July 2021
262 pages
ISBN:9781450389983
DOI:10.1145/3469595
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 July 2021

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Author Tags

  1. Chatbot
  2. FinBot
  3. conversational agent
  4. finance
  5. investment
  6. stock market
  7. trading

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  • Demonstration
  • Research
  • Refereed limited

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CUI '21

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Overall Acceptance Rate 34 of 100 submissions, 34%

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Cited By

View all
  • (2024)DECI: The 2nd Tutorial on Designing Effective Conversational InterfacesAdjunct Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization10.1145/3631700.3658531(5-8)Online publication date: 27-Jun-2024
  • (2024)A Survey of Conversational Styles and Systems2024 16th International Conference on Human System Interaction (HSI)10.1109/HSI61632.2024.10613569(1-4)Online publication date: 8-Jul-2024
  • (2024)Knowledge-Enhanced Conversational AgentsJournal of Computer Science and Technology10.1007/s11390-024-2883-439:3(585-609)Online publication date: 22-Jul-2024
  • (2023)DECI: A Tutorial on Designing Effective Conversational InterfacesCompanion Proceedings of the 28th International Conference on Intelligent User Interfaces10.1145/3581754.3584165(187-189)Online publication date: 27-Mar-2023
  • (2022)It's Good to Talk: A Comparison of Using Voice Versus Screen-Based Interactions for Agent-Assisted TasksACM Transactions on Computer-Human Interaction10.1145/348422129:3(1-41)Online publication date: 14-Jan-2022

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