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Correlation Matrices for "Evaluating Users' Affect States: Towards a Study on Privacy Concerns”

Lookup NU author(s): Professor Thomas Gross



This is the final published version of a report that has been published in its final definitive form by School of Computing Science, University of Newcastle upon Tyne, 2017.

For re-use rights please refer to the publisher's terms and conditions.


Abstract:Background.Nwadike et al. offered a comparison of affect measurements with PANAS-X, NOLDUS Face Reader and Microsoft Emotional Recognition under a neutral state and induced happiness and sadness in a within-subject pretest experiment.Aim.We investigate the correlation matrices of the measurement devices for happiness and sadness measurements. Method.A, the measurement scores are compared with Pearson correlation matrices and corresponding visualizations, once irrespective of conditions and once within conditions "neutral," "happy," and "sad." Results.We offer a more fine-grained analysis of the measurement devices beyond the effect sizes presented in Nwadike et al. Conclusion.The analysis shows that partially the NOLDUS Face Reader have been inconsistent with the PANAS-X manipulation check, especially in the sadness condition, the Face Reader sadness score was positively correlated with PANAS-X joviality. At the same time, the pretest presented by Nwadike et al. had a low sample size and only vouches for the need of further investigation.

Publication metadata

Author(s): Gross T

Publication type: Report

Publication status: Published

Series Title: School of Computing Science Technical Report Series

Year: 2017

Pages: 8

Print publication date: 01/06/2017

Acceptance date: 02/04/2016

Report Number: 1508

Institution: School of Computing Science, University of Newcastle upon Tyne

Place Published: Newcastle upon Tyne