Titelangaben
Benharrak, Karim ; Lehmann, Florian ; Dang, Hai ; Buschek, Daniel:
SummaryLens : A Smartphone App for Exploring Interactive Use of Automated Text Summarization in Everyday Life.
2022
Veranstaltung: 27th International Conference on Intelligent User Interfaces, IUI 2022
, 22. - 25.03.2022
, Helsinki, Finland, online.
(Veranstaltungsbeitrag: Kongress/Konferenz/Symposium/Tagung
,
Poster
)
DOI: https://doi.org/10.1145/3490100.3516471
Weitere URLs
Angaben zu Projekten
Projekttitel: |
Offizieller Projekttitel Projekt-ID AI Tools - Continuous Interaction with Computational Intelligence Tools Ohne Angabe |
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Abstract
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.
Weitere Angaben
Publikationsform: | Veranstaltungsbeitrag (Poster) |
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Begutachteter Beitrag: | Ja |
Keywords: | natural language processing; mobile devices; text summarization; user studies |
Institutionen der Universität: | Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik Fakultäten > Fakultät für Mathematik, Physik und Informatik > Institut für Informatik > Lehrstuhl Angewandte Informatik VIII Fakultäten Fakultäten > Fakultät für Mathematik, Physik und Informatik |
Titel an der UBT entstanden: | Ja |
Themengebiete aus DDC: | 000 Informatik,Informationswissenschaft, allgemeine Werke > 004 Informatik |
Eingestellt am: | 09 Feb 2022 08:23 |
Letzte Änderung: | 11 Feb 2022 11:18 |
URI: | https://eref.uni-bayreuth.de/id/eprint/68585 |