This paper is in the following e-collection/theme issue:

Methods and New Tools in Mental Health Research (424) mHealth for Wellness, Behavior Change and Prevention (2729) Depression and Mood Disorders; Suicide Prevention (1273) Natural Language Processing (637) mHealth for Data Collection and Research (907) Ecological Momentary Assessment (EMA) (294)

Published on in Vol 9, No 2 (2022): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/31724, first published .
In Search of State and Trait Emotion Markers in Mobile-Sensed Language: Field Study

In Search of State and Trait Emotion Markers in Mobile-Sensed Language: Field Study

In Search of State and Trait Emotion Markers in Mobile-Sensed Language: Field Study

Authors of this article:

Chiara Carlier1 Author Orcid Image ;   Koen Niemeijer1 Author Orcid Image ;   Merijn Mestdagh1 Author Orcid Image ;   Michael Bauwens2 Author Orcid Image ;   Peter Vanbrabant2 Author Orcid Image ;   Luc Geurts3 Author Orcid Image ;   Toon van Waterschoot4 Author Orcid Image ;   Peter Kuppens1 Author Orcid Image
Article Authors Cited by (3) Tweetations (4) Metrics

Journals

  1. Kuppens P, Dejonckheere E, Kalokerinos E, Koval P. Some Recommendations on the Use of Daily Life Methods in Affective Science. Affective Science 2022;3(2):505 View
  2. Hoemann K, Lee Y, Kuppens P, Gendron M, Boyd R. Emotional Granularity is Associated with Daily Experiential Diversity. Affective Science 2023;4(2):291 View
  3. Behnke M, Saganowski S, Kunc D, Kazienko P. Ethical Considerations and Checklist for Affective Research With Wearables. IEEE Transactions on Affective Computing 2024;15(1):50 View