The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
PopTherapy: Coping with Stress through Pop-Culture
Abstract
Stress is considered to be a modern day “global epidemic"; so given the widespread nature of this problem, it would be beneficial if solutions that help people to learn how to cope better with stress were scalable beyond what individual or group therapies can provide today. Therefore, in this work,
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“Finally, one of the four studies classified as a controlled intervention [79] was rated as having a “poor” quality (2 out of 14 points) as it did not follow most of the criteria for controlled interventions (i.e., randomization, large sample size, blind allocation, or assessment).”
From Using Artificial Intelligence to Enhance Ongoing Psychological Interventions for Emotional Problems in Real- or Close to Real-Time: A Systematic Review (2022) · cites this paper as [79]
Citations
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Seligman, M. E. P., & Csikszentmihalyi, M. (2000) · American Psychologist · doi:10.1037/0003-066x.55.1.5 · Cited by 11,351
Bonanno, G. A. (2004) · American Psychologist · doi:10.1037/0003-066x.59.1.20 · Cited by 6,851
Finite-time Analysis of the Multiarmed Bandit Problem
Auer, P., Cesa-Bianchi, N., & Fischer, P. (2002) · Machine Learning · doi:10.1023/a:1013689704352 · Cited by 6,033
The PHQ-9: A New Depression Diagnostic and Severity Measure
Kroenke, K., & Spitzer, R. L. (2002) · Psychiatric Annals · doi:10.3928/0048-5713-20020901-06 · Cited by 5,898 · cited 2×
“In clinical terms, ML condition users ended week 4 with no signs of depression (DL 5), while the Random condition ones showed mild depression symptoms (5 DL 10) [12] (Figure 11).”
BackgroundMethodThe Dishonesty of Honest People: A Theory of Self-Concept Maintenance
Mazar, N., Amir, O., & Ariely, D. (2008) · Journal of Marketing Research · doi:10.1509/jmkr.45.6.633 · Cited by 2,875
Eysenbach, G. (2005) · Journal of Medical Internet Research · doi:10.2196/jmir.7.1.e11 · Cited by 2,524
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Items 101–150 of 150
Emotion-aware Human–Robot Interaction and Social Robots
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502407 · Cited by 4
The interaction between emotion dynamics and opinion changes in the era of generative AI
Li, S., Fan, S., & Demartini, G. (2025) · Computers in Human Behavior Reports · doi:10.1016/j.chbr.2025.100722 · Cited by 5
Manning, J. B., BLANDFORD, A. E., & Edbrooke-Childs, J. H. (2023) · JMIR Formative Research · doi:10.2196/50460 · Cited by 4
“This reflects the understanding that there is no one-size-fits-all stress intervention [76] and the hypothesized personal preferences such as time, location, and personal relevance (ie, external autonomous factors) are important [111].”
BackgroundInfluentialThe Potential of Technology in Facilitating Positive Stress Experiences
Heikkilä, P., Ainasoja, M., & Oksman, V. (2015) · European Conference on Cognitive Ergonomics · doi:10.1145/2788412.2788441 · Cited by 3
“Still another design direction is applied by Paredes et al., who have experimented with repurposing popular web applications as stress management interventions [26].”
BackgroundMethodYadav, N., Singh, C., & Srivastava, K. (2022) · Hawaii International Conference on System Sciences (HICSS) · doi:10.24251/hicss.2022.443 · Cited by 2
“In [34], a survey of ML in mental health reveals that out of 54 research papers, few describe the conduct of empirical studies of an end-to-end ML system [35, 36] or assess the quality of ML predictions.”
Manning, J. B., BLANDFORD, A. E., & Edbrooke-Childs, J. H. (2024) · Journal of Medical Internet Research · doi:10.2196/50457 · Cited by 3
“In addition, popular websites have been repurposed to provide stress management interventions [10].”
Evaluation of health recommender systems: a scoping review protocol
Ananthakrishnan, A., Milne‐Ives, M., Shankar, R., & Meinert, E. (2024) · BMJ Open · doi:10.1136/bmjopen-2023-083359 · Cited by 2
A Recommendation System Based on a Microservice Architecture to Avoid Workplace Stress
Rodrigues, F., Pinelas, F., Ferreira, S., Rodrigues, M. A., & Rocha, N. (2025) · Electronics · doi:10.3390/electronics14071446 · Cited by 3
Persson, D. R., Ramasawmy, M., Khan, N., Banerjee, A., BLANDFORD, A. E., Bardram, J. E., & Bækgaard, P. (2025) · Journal of Medical Internet Research · doi:10.2196/72658 · Cited by 4
“Paredes et al [15] let users choose when to request a microintervention while using JIT elements to recommend an intervention relevant to the user’s context.”
InfluentialWilliams, J. J., Nogas, J., Deliu, N., Shaikh, H., Villar, S. S., Durand, A., & Rafferty, A. N. (2021) · arXiv (Cornell University) · doi:10.48550/arxiv.2103.12198 · Cited by 2
Introduction to Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502400 · Cited by 1
Emotion Recognition in the Wild
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502404 · Cited by 2
Rao, P., Taj, M., Mariakakis, A. T., Williams, J. J., & Bhattacharjee, A. (2025) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3719160.3737632 · Cited by 1
Kaveladze, B. T., Schueller, S. M., & Mohr, D. C. (2026) · JMIR Mental Health · doi:10.2196/83707 · Cited by 1
“Another study repurposed popular videos, articles, and infographics as stress management “microinterventions” to help participants develop self-care skills and reduce stress and depression [6].”
Koh, Y., Kim, J., Lee, K., Jung, Y., Hong, H., & Lee, U. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791194 · Cited by 1
Reinforcement Learning and Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502405 · Cited by 1
Zen_Space: A Smartphone App for Individually Tailored Stress Management Support for College Students
McDaniel, M., & Anwar, M. M. (2017) · Lecture notes in computer science · doi:10.1007/978-3-319-67964-8_12 · Cited by 1
Exploring User Perspectives on Brief Reflective Questioning Activities for Stress ManagementPreprint
Bhattacharjee, A., Chen, P., Mandal, A., Zhou, L., Aggarwal, J., Hsu, A., O'Leary, K., Mariakakis, A. T., & Williams, J. J. (2022) · SSRN Electronic Journal · doi:10.2139/ssrn.4057942 · Cited by 1
On the Selection of Just-in-time Interventions
Jaimes, L. G. (2015) · Digital Commons - University of South Florida (University of South Florida)
Evaluation of Methods for Data-Driven Tools that Empower Mental Health Professionals
DeMasi, O. (2019) · eScholarship (California Digital Library)
Paredes, P. E., Goel, R., & Mauriello, M. L. (2020) · doi:10.13140/rg.2.2.32872.70403
Self-citationZhou, T., Wang, Y., Yan, L., & Tan, Y. (2019) · SSRN Electronic Journal · doi:10.2139/ssrn.3397452
Just-In-Time Adaptive Interventions: Experiment, Inference and Online Learning
Liao, P. (2019) · Deep Blue (University of Michigan)
Goal-Directed Self-Tracking in the Management of Chronic Health Conditions
Schroeder, J. (2020) · ResearchWorks at the University of Washington (University of Washington)
Future of Affective Computing and Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502411 · Cited by 1
Multimodal Data Collection and Processing for Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502403
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502399
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502412
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502413
Applied Affective Computing in Built Environments
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502409
Machine Learning Approaches for Applied Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502402
Affective Computing for Enhancing Well-Being
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502408 · Cited by 1
“Mobile intervention systems have been shown to enhance or regulate mood using evidence-based therapeutic approaches such as cognitive behavioral ther apy and positive psychology [Paredes et al. 2014, Meinlschmidt et al. 2016].”
BackgroundInfluentialSynthesizing Natural and Believable Emotional Expressions
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502406
Addressing Ethical Issues of Affective Computing
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502410
Emotions as Studied in Psychology and Cognitive Science
Tian, L., Oviatt, S. L., Muszyński, M., Chamberlain, B. C., Healey, J., & Sano, A. (2022) · ACM eBooks · doi:10.1145/3502398.3502401
Ervasti, M., Kallio, J., M�ntyj�rvi, J., Jokela, M. M., & M��tt�nen, I. (2018) · doi:10.2196/preprints.10039
Giri, S., Farid, F., Chowdhury, N. A., & Foster, J. (2022) · Research Square · doi:10.21203/rs.3.rs-1755594/v1
Reviewing Recommender Systems in the Medical Domain
Brunner, K., & Hametner, B. (2022) · SNE Simulation Notes Europe · doi:10.11128/sne.32.tn.10624
Maintaining Driver’s Alertness with Linear Contextual Bandits
Ponomarev, A. (2022) · International Multi-Conference on Engineering, Computer and Information Sciences (SIBIRCON) · doi:10.1109/sibircon56155.2022.10016924
“The paper [12] also uses the contextual bandit framework in conjunction with the UCB exploration policy to select one of 10 stress management strategies to minimize stress levels.”
MethodНовицький, Т. (2023) · Науковий вісник Львівського державного університету внутрішніх справ (серія психологічна) · doi:10.32782/2311-8458/2023-2-11
Creative Commuter: Towards Designing Moments for Idea Generation and Incubation during the Commute
Paredes, P. E., Hong, M. K., Hakimi, S., & Klenk, M. (2024) · International Conference on Automotive User Interfaces and Interactive Vehicular Applications (AutomotiveUI) · doi:10.1145/3641308.3685022
Self-citationAn Explainable Predictive Model for the Detection of Mental Health Conditions in the Workplace
Giri, S., Farid, F., Ahamed, F., Choudhury, N., & Foster, J. (2025) · Lecture notes in networks and systems · doi:10.1007/978-3-031-87647-9_4
Designing and Personalising Hybrid Health Explanations for Lay Users
Szymanski, M., Keyaerts, S., Conati, C., Croon, R. D., Abeele, V. V., & Verbert, K. (2025) · ACM Transactions on Interactive Intelligent Systems · doi:10.1145/3772071
“…is broad, ranging from apps that facilitate patient self-management of conditions through frequent measurements and reminders [30, 33], nudging lifestyle changes through fitness trackers and location logs [31, 64], or providing therapy or recommendations to combat stress and anxiety [62, 97, 98].”
Tendling: Designing An Embodied AI Pillow for Everyday Emotion Regulation
Han, G., Agarwal, S., Barrios, A., Joshi, N., & Leigh, S.-W. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3799115
Whitmore, N. W., Shimizu, K., Shifat, M. N. U. H., & Maes, P. (2026) · doi:10.2196/preprints.98561
Artificial Intelligence in Mental Health Monitoring
Pabbi, V., Sandhu, M. K., & Angurala, M. (2026) · International Conference on Computing for Sustainable Global Development · doi:10.23919/indiacom70271.2026.11525482
“Empirical evidence has also supported the use of AI systems for emotional regulation, including those that integrate elements of popular culture [27], and mobile-sensing technologies for real-world monitoring [26].”
Li, S., Liang, K.-H., Shahriar, S., Ye, Y., Goetsu, S., Du, W., Yoshida, M., Ohwa, T., Xu, X., & Yu, Z. (2026) · ACM Conference on Conversational User Interfaces (CUI) · doi:10.1145/3816046.3816277
“Secondly, our chatbot provides stress relief to users using short micro-interventions [23, 45] for users who are experiencing excess stress, as stress reduction has been shown to increase PA [58].”
Stress Monitoring with Machine Learning: Detecting and Managing Mental Health
Jiang, S., Li, Y., Firouzi, F., Chakrabarty, K., & Elbogen, E. B. (2025) · Springer eBooks · doi:10.1007/978-3-032-09253-3_4
Kim, G.-Y., Yang, H. J., Choi, C., & Bum, C.-H. (2026) · Behavioral Sciences · doi:10.3390/bs16101805
“Conversational AI is an emerging area of mental health treatment with considerable potential, as previous studies have demonstrated that empathy and supportive responses communicated through AI-based conversations can help reduce negative emotions (Ghan-deharioun et al., 2016; Paredes et al., 2014).”
Metadata
- Authors
- Paredes, P., Giald-Bachrach, R., Czerwinski, M., Roseway, A., Rowan, K., & Hernandez, J.
- Affiliations
- University of California, Berkeley (US)
- Microsoft (United States) (US)
- MIT Media Lab (US)
- Corresponding author
- Paredes, Pablo
- Venue
- Proceedings of the 8th International Conference on Pervasive Computing Technologies for Healthcare
- Publisher
- ICST
- Published
- 2014
- ISSN
- 2153-1633 (ISSN-L)
- OpenAlex
- W2016372372
- Cited by
- 152
- References
- 23
- Citations by year
- 2026: 7 · 2025: 14 · 2024: 12 · 2023: 10 · 2022: 41 · 2021: 14 · 2020: 10 · 2019: 13 · 2018: 11 · 2017: 7 · 2016: 5 · 2015: 8
- FWCI
- 17.33
- Type
- conference paper
- Language
- en
- Open access
- closed
- Locations
- International Conference on Pervasive Computing Technologies for Healthcare (publishedVersion)
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Social Sciences › Communication › Media Influence and Health
- Social Sciences › Psychology › Clinical Psychology › Art Therapy and Mental Health
- Keywords
- stress coping, popular culture, stress management
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