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
Related URLs
Project information
Project title: |
Project's official title Project's id AI Tools - Continuous Interaction with Computational Intelligence Tools No information |
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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) |
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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 |