Wearable Wisdom: An Intelligent Audio-Based System for Mediating Wisdom and Advice
Name
CHI2020_LW_Wearable_Wisdom_Final.pdf
Description
Accepted version
Size
4.6 MB
Format
Unknown
Checksum (MD5)
e01ededb073a2116521c18c9a680cbd6
Author(s)
Pataranutaporn, Pat
Vega Gálvez, Tomás
Yoo, Lisa Y.
Chhetri, Abishkar
Maes, Patricia
Date Issued
2020
Journal
Conference on Human Factors in Computing Systems - Proceedings
Publisher
ACM
Citation
Pataranutaporn, Pat, Vega Gálvez, Tomás, Yoo, Lisa, Chhetri, Abishkar and Maes, Pattie. 2020. "Wearable Wisdom: An Intelligent Audio-Based System for Mediating Wisdom and Advice." Conference on Human Factors in Computing Systems - Proceedings.
Version
Author's final manuscript
Abstract
© 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.
MIT Department
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Massachusetts Institute of Technology. Media Laboratory
Program in Media Arts and Sciences (Massachusetts Institute of Technology)
Terms of Use
Creative Commons Attribution-Noncommercial-Share Alike
Persistent DSpace Link
DOI of Published Version
https://doi.org/10.1145/3334480.3383092
