Abstract
Purpose–The purpose of this paper is to explore uncertainty inherent in emotion recognition technologiesand the consequences resulting from that phenomenon.Design/methodology/approach–The paper is a general overview of the concept; however, it is basedon a meta-analysis of multiple experimental and observational studies performed over the past couple of years.Findings–The mainfinding of the paper might be summarized as follows: there is uncertainty inherent inemotion recognition technologies, and the phenomenon is not expressed enough, not addressed enough andunknown by the users of the technology.Practical implications–Practical implications of the study are formulated as postulates for thedevelopers, users and researchers dealing with the technologies of automatic emotion recognition.Social implications–As technologies that recognize emotions are becoming more and more common,and perhaps more decisions influencing people lives are to come in the next decades, the trustworthiness ofthe technology is important from a scientific, practical and ethical point of view.Originality/value–Studying uncertainty of emotion recognition technologies is a novel approach and isnot explored from such a broad perspective before.
Citations
-
1 3
CrossRef
-
0
Web of Science
-
1 4
Scopus
Author (1)
Cite as
Full text
full text is not available in portal
Keywords
Details
- Category:
- Articles
- Type:
- artykuły w czasopismach
- Published in:
-
Journal of Information, Communication and Ethics in Society
no. 17,
pages 273 - 291,
ISSN: 1477-996X - Language:
- English
- Publication year:
- 2019
- Bibliographic description:
- Landowska A.: Uncertainty in emotion recognition// Journal of Information, Communication and Ethics in Society -Vol. 17,iss. 3 (2019), s.273-291
- DOI:
- Digital Object Identifier (open in new tab) 10.1108/jices-03-2019-0034
- Sources of funding:
-
- Project Methods and tools for affectaware intelligent tutoring sysyems
- Statutory activity/subsidy
- Verified by:
- Gdańsk University of Technology
seen 158 times