Improving Mobile Reading Experiences While Walking Through Automatic Adaptations and Prompted Customization
Article No.: 19, Pages 1 - 3
Abstract
Increasingly more people are consuming information on the go, and yet walking can significantly affect the ability to read text documents on mobile devices. In this work, we propose a system that automatically detects when a user is walking while reading on mobile devices to suggest automatic adaptations and recommendations to improve reading experiences. The user can also customize these suggested adaptations in real time, which our system uses to offer future recommendations. We ran a preliminary user study to evaluate our prototype and identify challenges and opportunities of mixed-initiative adaptations for reading on the go.
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Published In
October 2023
424 pages
ISBN:9798400700965
DOI:10.1145/3586182
Copyright © 2023 Owner/Author.
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
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Published: 29 October 2023
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UIST '23: The 36th Annual ACM Symposium on User Interface Software and Technology
October 29 - November 1, 2023
CA, San Francisco, USA
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