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Arvind Pillai

Showing results (11-20 of 32) with videos related to

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Journal of Psychopathology and Clinical Science|January 25, 2024
Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorderMatthew D Nemesure, Amanda C Collins, George D Price, et al.
Journal of Psychopathology and Clinical Science|April 10, 2025
Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorderAmanda C Collins, Damien Lekkas, Matthew D Nemesure, et al.
Extended Abstracts on Human Factors in Computing Systems. CHI Conference|July 29, 2024
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape AppSubigya Nepal, Arvind Pillai, William Campbell, et al.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies|December 23, 2022
First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile SensingWeichen Wang, Subigya Nepal, Jeremy F Huckins, et al.
Journal of Affective Disorders|July 19, 2024
The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adultsEmily A Kline, Damien Lekkas, Anastasia Bryan, et al.
Psychological Assessment|November 6, 2025
Psychometric properties and validity of a Mobile Patient Health Questionnaire-9 (MPHQ-9) for ecological momentary assessment in depressed adultsDawson Haddox, Daniel M Mackin, Tess Z Griffin, et al.
Addictive Behaviors|January 29, 2026
Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated studyAnna M Langener, Dawson Haddox, Daniel M Mackin, et al.
Behaviour Research and Therapy|February 18, 2026
Interindividual differences in digital phenotypes of major depressive disorder: A passive sensing study using smartphone and wearable sensor dataElizabeth W Lampe, Amanda C Collins, Ahhyun Lee, et al.
Journal of Affective Disorders|November 27, 2024
Anhedonia in flux: Understanding the associations of emotion regulation and anxiety with anhedonia dynamics in a sample with major depressive disorderMichael R Gallagher, Amanda C Collins, Damien Lekkas, et al.
Journal of Affective Disorders|April 17, 2026
The dynamics of loneliness: Longitudinal associations of anhedonia and dampening in a clinical sample of depressed individualsKarlos Bautista, E Samuel Winer, Camryn Calafiore, et al.
Pageof 4

Showing results (11-20 of 32) with videos related to

Sort By:
Pageof 4
Journal of Psychopathology and Clinical Science|January 25, 2024
Depressive symptoms as a heterogeneous and constantly evolving dynamical system: Idiographic depressive symptom networks of rapid symptom changes among persons with major depressive disorderMatthew D Nemesure, Amanda C Collins, George D Price, et al.
Journal of Psychopathology and Clinical Science|April 10, 2025
Semantic signals in self-reference: The detection and prediction of depressive symptoms from the daily diary entries of a sample with major depressive disorderAmanda C Collins, Damien Lekkas, Matthew D Nemesure, et al.
Extended Abstracts on Human Factors in Computing Systems. CHI Conference|July 29, 2024
Contextual AI Journaling: Integrating LLM and Time Series Behavioral Sensing Technology to Promote Self-Reflection and Well-being using the MindScape AppSubigya Nepal, Arvind Pillai, William Campbell, et al.
Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies|December 23, 2022
First-Gen Lens: Assessing Mental Health of First-Generation Students across Their First Year at College Using Mobile SensingWeichen Wang, Subigya Nepal, Jeremy F Huckins, et al.
Journal of Affective Disorders|July 19, 2024
The role of borderline personality disorder traits in predicting longitudinal variability of major depressive symptoms among a sample of depressed adultsEmily A Kline, Damien Lekkas, Anastasia Bryan, et al.
Psychological Assessment|November 6, 2025
Psychometric properties and validity of a Mobile Patient Health Questionnaire-9 (MPHQ-9) for ecological momentary assessment in depressed adultsDawson Haddox, Daniel M Mackin, Tess Z Griffin, et al.
Addictive Behaviors|January 29, 2026
Passive data do not improve prediction or detection of alcohol consumption beyond temporal patterns in major depression: A 90-day cross-validated studyAnna M Langener, Dawson Haddox, Daniel M Mackin, et al.
Behaviour Research and Therapy|February 18, 2026
Interindividual differences in digital phenotypes of major depressive disorder: A passive sensing study using smartphone and wearable sensor dataElizabeth W Lampe, Amanda C Collins, Ahhyun Lee, et al.
Journal of Affective Disorders|November 27, 2024
Anhedonia in flux: Understanding the associations of emotion regulation and anxiety with anhedonia dynamics in a sample with major depressive disorderMichael R Gallagher, Amanda C Collins, Damien Lekkas, et al.
Journal of Affective Disorders|April 17, 2026
The dynamics of loneliness: Longitudinal associations of anhedonia and dampening in a clinical sample of depressed individualsKarlos Bautista, E Samuel Winer, Camryn Calafiore, et al.
Pageof 4