What is it about?
Fitness trackers and mobile health applications present information only in graphs and numbers. In this work, we propose a fast and resource-efficient search engine that enables humans to ask questions to their fitness trackers in plain text.
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Why is it important?
Many users who suffer from graph illiteracy, numeracy, and Mathematical anxiety can not benefit from their fitness tracker information. Besides, users can not conduct comparative queries on their fitness data with the existing interfaces. We enable users to ask questions from their fitness trackers in plain language and get the answer in plain language.
Perspectives
Language models and natural language processing are revolutionizing user interactions. This work focus on providing a conversational agent for a fitness tracker, which could motivate users to stay committed to their fitness goal and interact with their fitness tracker with a less cognitive burden.
Reza Rawassizadeh
Boston University
Read the Original
This page is a summary of: ODSearch, Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies, December 2022, ACM (Association for Computing Machinery),
DOI: 10.1145/3569488.
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