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More Personality in Personality Computing

descriptionPublicationkeyboard_double_arrow_right Article 01 Jul 2014 Switzerland Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:IEEE Transactions on Affective Computing, volume 5, pages 297-300 (issn: 1949-3045,

Authors: Vinciarelli, Alessandro; Mohammadi, Gelareh;

doi: 10.1109/taffc.2014.2341252

More Personality in Personality Computing

- Summary
- Subjects
- Metrics

Abstract

By explicitly describing what has been done in the past, surveys implicitly outline what can (and sometimes should) be done in the future. The insightful commentary by Wright contributes significantly to this latter aspect, especially when it comes to aligning Personality Computing with the latest developments in Personality Science. This response article tries to progress in such a direction by discussing on Wright's suggestions from a computing science point of view.

Country

Switzerland

Related Organizations

Keywords

616.8, ddc: ddc:616.8

Impact byBIP!

	citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	27
	popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.	Top 10%
	influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).	Top 10%
	impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.	Top 10%