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SummaryLens : A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life

Title data

Benharrak, Karim ; Lehmann, Florian ; Dang, Hai ; Buschek, Daniel:
SummaryLens : A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life.
2022
Event: 27th International Conference on Intelligent User Interfaces, IUI 2022 , 22. - 25.03.2022 , Helsinki, Finland, online.
(Conference item: Conference , Poster )
DOI: https://doi.org/10.1145/3490100.3516471

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Project information

Project title:
Project's official titleProject's id
AI Tools - Continuous Interaction with Computational Intelligence ToolsNo information

Abstract in another language

We present SummaryLens, a concept and prototype for a mobile tool that leverages automated text summarization to enable users to quickly scan and summarize physical text documents. We further combine this with a text-to-speech system to read out the summary on demand. With this concept, we propose and explore a concrete application case of bringing ongoing progress in AI and Natural Language Processing to a broad audience with interactive use cases in everyday life. Based on our implemented features, we describe a set of potential usage scenarios and benefits, including support for low-vision, low-literate and dyslexic users. A first usability study shows that the interactive use of automated text summarization in everyday life has noteworthy potential. We make the prototype available as an open-source project to facilitate further research on such tools.

Further data

Item Type: Conference item (Poster)
Refereed: Yes
Keywords: natural language processing; mobile devices; text summarization; user studies
Institutions of the University: Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science
Faculties > Faculty of Mathematics, Physics und Computer Science > Department of Computer Science > Chair Applied Computer Science VIII
Faculties
Faculties > Faculty of Mathematics, Physics und Computer Science
Result of work at the UBT: Yes
DDC Subjects: 000 Computer Science, information, general works > 004 Computer science
Date Deposited: 09 Feb 2022 08:23
Last Modified: 11 Feb 2022 11:18
URI: https://eref.uni-bayreuth.de/id/eprint/68585