Demo: Preventing Phone Fraud by Victim Training Using Personalized Feedback for Behavioral Change
Authors: 
Takahiro Yoshioka, Shuji Awai, Kenta Ide, Megumi Chikano, Sho Iwasaki, Kohei Yoshino, Hina Ikeda, Masahiro Shiraishi, Takeshi KonnoAuthors Info & Claims
Pages 588 - 589
Abstract
We present a novel training system designed to combat phone fraud, a significant social issue causing losses of $8.8 billion in the U.S. in 2022. The system consists of dialogue, sensing, and analysis technologies to simulate fraudulent calls, monitor users' vital responses, and provide personalized feedback. The results of an experiment conducted with 28 elderly participants indicated that 81% of the participants showed an intention to adopt some form of fraud prevention measures after use of our training system, suggesting the system's potential to heighten security awareness and improve fraud prevention behaviors. A companion video can be accessed using the link below: https://youtu.be/ndo_7xx4iiw
References
[1]
Federal Trade Commission, New FTC Data Show Consumers Reported Losing Nearly $8.8 Billion to Scams in 2022, https://www.ftc.gov/news-events/news/press-releases/2023/02/new-ftc-data-show-consumers-reported-losing-nearly-88-billion-scams-2022.
[2]
Fujitsu Limited, Toyo University, Amagasaki City, Fujitsu, Toyo University, and Amagasaki City leverage AI technology and psychological research in trial to protect senior citizens from phone fraud, https://www.fujitsu.com/global/about/resources/news/press-releases/2022/0324-01.html
[3]
Li Hongchun, Xie Lili, Zhao Qian, Tian Jun, and Takeshi Konno, Static Human Localization Using FMCW MIMO Radar, 2023 IEEE Wireless Communications and Networking Conference, pp. 1--6, 2023.
[4]
Takeshi Konno, Takahiro Yoshioka, Megumi Chikano, Natsuki Miyahara, and Kenta Ide. Study on the Prevention of Special Fraud 1 -An Empirical Experiment on Predicting the Psychological State of Victims for the Prevention of Specific Fraud Victimization-, In proceedings of the 88th conference of the Japan Association of Applied Psychology, 2022.
Index Terms
- Demo: Preventing Phone Fraud by Victim Training Using Personalized Feedback for Behavioral Change
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Information
Published In
June 2024
778 pages
ISBN:9798400705816
DOI:10.1145/3643832
- Chairs:
- Tadashi Okoshi,
- JeongGil Ko,
- Program Chair:
- Robert LiKamWa
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Association for Computing Machinery
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Published: 04 June 2024
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- Demonstration
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MOBISYS '24
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MOBISYS '24: 22nd Annual International Conference on Mobile Systems, Applications and Services
June 3 - 7, 2024
Minato-ku, Tokyo, Japan
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Overall Acceptance Rate 274 of 1,679 submissions, 16%
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