Abstract
There is a huge amount of news information on the Internet, and users have the advantage of being able to access a large amount of information. However, users are not interested in all the news that exists on the Internet. In our previous research, we developed a smartphone application that enables users to provide information via a smartwatch in order to solve the information overload in news information on the Internet. However, considering the screen size of the smartwatch, it was necessary to limit the information that could be obtained, and we could not provide the information that users wanted. Therefore, we propose an application that provides news information by voice and allows users to read out the news from a smartwatch. By learning the user’s interests, this application automatically selects articles and provides news that the user is interested in with priority. In addition, by providing information by voice, news information can be obtained in a crowded train or while driving a car, which is expected to improve the convenience of the system. As a result of the evaluation experiment, we were able to provide more information to the users than the conventional applications. However, there was a problem of misreading. In this paper, we refer to misreadings and discuss countermeasures.
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Ogawa, T., Endo, K., Kuroda, H., Kobayashi, S. (2021). Improving Reading Accuracy in Personal Information Distribution Systems Using Smartwatches and Wireless Headphones. In: Hong, TP., Wojtkiewicz, K., Chawuthai, R., Sitek, P. (eds) Recent Challenges in Intelligent Information and Database Systems. ACIIDS 2021. Communications in Computer and Information Science, vol 1371. Springer, Singapore. https://doi.org/10.1007/978-981-16-1685-3_18
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DOI: https://doi.org/10.1007/978-981-16-1685-3_18
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