Wearable Wisdom: An Intelligent Audio-Based System for Mediating Wisdom and Advice

• Main Authors: Pataranutaporn, Pat (Author), Vega Gálvez, Tomás (Author), Yoo, Lisa Y. (Author), Chhetri, Abishkar (Author), Maes, Patricia (Author)
• Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science (Contributor), Massachusetts Institute of Technology. Media Laboratory (Contributor), Program in Media Arts and Sciences (Massachusetts Institute of Technology) (Contributor)
• Format: Article
• Language: English
• Published: ACM, 2021-12-14T14:21:57Z.
• Subjects: Article
• Online Access: Get fulltext

 © 2020 Owner/Author. Having good mentors and role models is important for personal growth. However, they are not always available at the time of need. Some of our personal heroes have passed away leaving only their wisdom through writings and other artifacts. We present Wearable Wisdom, an intelligent, audio-based system for mediating wisdom and advice from mentors and personal heroes to a user. It does so by performing automated semantic analysis on the collected wisdom database and generating a simulated voice of a mentor sharing relevant wisdom and advice with the user. The results show that our platform is statistically superior in delivering relevant, yet abstract wisdom as well as providing more inspiration compared to control. We describe the implementation of the Wearable Wisdom system, report on a user study, and discuss potential applications of wisdom computation for supporting personal growth and motivation.