Multimodal sentiment analysis in the wild: ethical considerations on data collection, annotation, and exploitation

  • Some ethical issues that arise for data collection and annotation of audio-visual and general multimodal sentiment, affect, and emotion data “in the wild” are of types that have been well explored, and there are good reasons to believe that they can be handled in routine ways. They mainly involve two areas, namely research with human participants, and protection of personal data. Some other ethical issues coming with such data such as its exploitation in real-life recognition engines and evaluation in long-term usages are, however, less explored. Here, we aim to discuss both – the more “routine” aspects as well as the white spots in the literature of the field. The discussion will be guided by needs and observations as well as plans made during and for the European SEWA project to provide a showcase example.

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Metadaten
Author:Björn SchullerORCiDGND, Jean-Gabriel Ganascia, Laurence Devillers
URN:urn:nbn:de:bvb:384-opus4-721576
Frontdoor URLhttps://opus.bibliothek.uni-augsburg.de/opus4/72157
URL:http://www.lrec-conf.org/proceedings/lrec2016/index.html
ISBN:978-2-9517408-9-1OPAC
Parent Title (English):Proceedings of the 1st International Workshop on ETHics In Corpus Collection, Annotation and Application, satellite of the 10th Language Resources and Evaluation Conference (LREC 2016), 24 June 2016, Portorož, Slovenia
Publisher:European Language Resources Association
Editor:Nicoletta Calzolari, Khalid Choukri, Thierry Declerck, Sara Goggi, Marko Grobelnik, Bente Maegaard, Joseph Mariani, Hélène Mazo, Asunción Moreno, Jan Odijk, Stelios Piperidis
Type:Conference Proceeding
Language:English
Date of Publication (online):2020/03/11
Year of first Publication:2016
Publishing Institution:Universität Augsburg
Release Date:2020/03/12
First Page:29
Last Page:34
Institutes:Fakultät für Angewandte Informatik
Fakultät für Angewandte Informatik / Institut für Informatik
Fakultät für Angewandte Informatik / Institut für Informatik / Lehrstuhl für Embedded Intelligence for Health Care and Wellbeing
Dewey Decimal Classification:0 Informatik, Informationswissenschaft, allgemeine Werke / 00 Informatik, Wissen, Systeme / 004 Datenverarbeitung; Informatik
Licence (German):CC-BY-NC 4.0: Creative Commons: Namensnennung - Nicht kommerziell

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