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From Treatment to Healing:Envisioning a Decolonial Digital Mental Health
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The field of digital mental health is making strides in the application of technology to broaden access to care. We critically examine how these technology-mediated forms of care might amplify historical injustices, and erase minoritized experiences and expressions of mental distress and illness. We draw on decolonial thought and critiques of identity-based algorithmic bias to analyze the underlying power relations impacting digital mental health technologies today, and envision new pathways towards a decolonial digital mental health. We argue that a decolonial digital mental health is one that centers lived experience over rigid classification, is conscious of structural factors that influence mental wellbeing, and is fundamentally designed to deter the creation of power differentials that prevent people from having agency over their care. Stemming from this vision, we make recommendations for how researchers and designers can support more equitable futures for people experiencing mental distress and illness.
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“Those in low-and middleresource settings may especially benefit from accessible digitally facilitated support 69 .”
From Ethical challenges in contemporary psychiatry: an overview and an appraisal of possible strategies and research needs (2024) · cites this paper as [69]
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“and algorithms will result in much more efective moderation [73].”
BackgroundInfluentialExploring Effects of Chatbot-based Social Contact on Reducing Mental Illness Stigma
Lee, Y., Cui, Y., Jamieson, J., Fu, W., & Yamashita, N. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581384 · Cited by 38
“Such stigma contributes to many negative outcomes, including reluctance to seek mental healthcare in order to avoid being stigmatized [18], amplified historical injustices on minoritized experiences [72], and difficulty finding employment, housing, and social contact [26].”
BackgroundWhose Knowledge is Valued? Epistemic Injustice in CSCW Applications
Ajmani, L. H., Foriest, J. C., Taylor, J., Pittman, K., Gilbert, S., & DeVito, M. A. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3687062 · Cited by 30
Ali, S., Razi, A., Kim, S., Alsoubai, A., Ling, C., Choudhury, M. D., Wiśniewski, P., & Stringhini, G. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3579608 · Cited by 42
“…(AI) fields have shifted to automated risk detection being a potential way to address this societal problem; for example, by developing automated approaches to detect cyberbullying [122, 124], suicidal ideation [26], mental health issues [81], sexual solicita-tions [91] or substance misuse [96].”
BackgroundSelf-citationStudying Self-Care with Generative AI Tools: Lessons for Design
Capel, T., Ploderer, B., Birčanin, F., Hanmer, S., Yates, J. P., Wang, J., Khor, K. L., Leong, T. W., Wadley, G., & Newcomb, M. (2024) · Designing Interactive Systems Conference · doi:10.1145/3643834.3661614 · Cited by 37
Let's Talk Futures: A Literature Review of HCI's Future Orientation
Sanchez, C., Wang, S., Savolainen, K., Epp, F. A., & Salovaara, A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713759 · Cited by 30
“…the comprehensive-futuring papers’ narratives, several publications stood out for their critical examination of how design decisions privilege certain individuals or groups over others, highlighting issues of power dynamics embedded in the design process [e.g., 3, 10, 36, 50, 91, 125, 161, 175].”
Karizat, N., Vinson, A., Parthasarathy, S., & Andalibi, N. (2024) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3637383 · Cited by 26
HCI Contributions in Mental Health: A Modular Framework to Guide Psychosocial Intervention Design
Slovák, P., & Munson, S. A. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642624 · Cited by 38
“…and practices in digital mental health and argued for approaches that decolonialise digital mental health, by moving away from rigid classifcations and centring aspects of people’s lived experience including power relationships and the surveillance aspect of many digital mental health systems [93].”
BackgroundMittal, S., & Choudhury, M. D. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580834 · Cited by 40
“19th and early 20th century conceptions often framed mental illness as a “character faw,” sometimes as a “deadly sin;” [38, 106, 146] in many parts of the world, acts of suicide were considered criminal activities punishable in a court of law [93].”
BackgroundSelf-citationBemme, D., & Béhague, D. P. (2024) · Social Psychiatry and Psychiatric Epidemiology · doi:10.1007/s00127-024-02632-2 · Cited by 27
Oguamanam, V., Hernandez, N., Chandler, R. D., Guillaume, D., Mckeever, K., Allen, M., Mohammed, S., & Parker, A. G. (2023) · International Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581475 · Cited by 32
“Through our analysis, we contribute to the growing body of work in HCI focusing on intersectionality, [12, 37, 62, 82, 88, 96] where there is an opportunity to combat monolithic thinking in the digital health space.”
Soubutts, E., Marshall, P., Mcnaney, R., Shrestha, P., Davidson, B. I., Qu, C., Mindel, C., & Sefi, A. (2024) · International Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642641 · Cited by 28
Exploring the digital support needs of caregivers of people with serious mental illness
Siddiqui, F., Varghese, D., Singh, P., Bayyavarapu, S. B., Lindsay, S., Chandrasekara, D., Kulkarni, P., Wu, L., Alshehri, T., & Olivier, P. (2023) · International Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580674 · Cited by 19
Beyond Detection: Towards Actionable Sensing Research in Clinical Mental Healthcare
Adler, D. A., Yang, Y., Viranda, T., Xu, X., Mohr, D. C., Meter, A. V., Tartaglia, J., Jacobson, N. C., Wang, F., Estrin, D. L., et al. (2024) · Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies · doi:10.1145/3699755 · Cited by 27
Pendse, S. R., Kumar, N., & Choudhury, M. D. (2023) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3610195 · Cited by 19
“Given risks of surveillance of people with mental illness [82], the zipcode entered by users is not collected unless they sign up to participate in a study, and all resources are loaded and stored on the client side to prevent any tracking of use.”
BackgroundInfluentialSelf-citationMeyerhoff, J., Kornfield, R., Lattie, E. G., Knapp, A. A., Kruzan, K. P., Jacobs, M. L., Stamatis, C. A., Taple, B. J., Beltzer, M., Berry, A. B. L., et al. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100677 · Cited by 16
From Interaction to Attitude: Exploring the Impact of Human-AI Cooperation on Mental Illness Stigma
Song, T., Jamieson, J., Zhu, T., Yamashita, N., & Lee, Y. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3710987 · Cited by 18
“It can have serious repercussions, such as making people unwilling to seek mental-health treatment due to fear of being stigmatized [22], perpetuating historical injustices against marginalized groups [81], and limiting access to employment, housing, and social interaction [30].”
Saharaline: A Collective Social Support Intervention for Teachers in Low-Income Indian Schools
Varanasi, R. A., Dell, N. L., & Vashistha, A. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642617 · Cited by 16
Decolonial and Postcolonial Computing Research: A Scientometric Exploration
Das, D., & Semaan, B. (2022) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3500868.3559468 · Cited by 15
“local needs, imagination, and values [15, 23, 74, 93].”
Emotion AI Use in U.S. Mental Healthcare: Potentially Unjust and Techno-Solutionist
Roemmich, K., Corvite, S., Pyle, C., Karizat, N., & Andalibi, N. (2024) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3637324 · Cited by 15
Adams, J. (2024) · Digital Society · doi:10.1007/s44206-024-00110-5 · Cited by 17
“Finally, bias in DMH systems has been identi - fied as a result of assumptions in human society broadly, as well as psychiatry more specifically, that tend to reveal themselves in algorithmic functioning (Pendse et al., 2022; Straw & Callison-Burch, 2020).”
Healing Through Stories: Co-designing Digital Mental Health with Asian Americans
Bautista, J., Wong, N., Reddy, M. C., & Schueller, S. M. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714142 · Cited by 13
Wani, A. S., Joshi, I., Nahvi, N. I., & Singh, P. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642507 · Cited by 15
“Research has also explored technology-enabled helplines for inclusive support in low-resource areas [91, 93, 114].”
BackgroundTransformative Narratives: Fostering Ubuntu-Inspired Participatory Design Practices
Farao, J., Mthoko, H., & Densmore, M. (2024) · Participatory Design Conference · doi:10.1145/3661455.3669878 · Cited by 14
Mathur, V., Lustig, C., & Kaziunas, E. (2022) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3555141 · Cited by 14
“HCI/CSCW researchers like Pendse et al. (2022) have also argued for more attention to how different communities and social worlds understand (and care for) behavioral health needs, arguing for the need to design digital health systems in ways that aren’t reductive or extractive [67].”
BackgroundLiu, J., Zhuo, S.-E., Li, X.-Y., Dillon, A., Howell, N., Smith, A. D. R., & Zhang, Y. (2025) · Proc. ACM Hum. Comput. Interact. · doi:10.1145/3757605 · Cited by 22
Blair, J., Mukherjee, D., Saunders, E. F. H., & Abdullah, S. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581563 · Cited by 12
“These expectations and requirements of data transparency and explainability are consistent with prior work [41].”
BackgroundResultBhattacharjee, A., Sultana, S., Amin, M. R., Iqbal, Y., & Ahmed, S. I. (2023) · ACM Journal on Computing and Sustainable Societies · doi:10.1145/3616381 · Cited by 11
“’s recommendation to center individuals’ lived experience over rigid classiications in digital mental health technologies [104].”
BackgroundDigital technologies and the future of health: aspirations, care and data
Lang, C., zu Biesen, C. M., & Burchardt, M. (2024) · Anthropology and Medicine · doi:10.1080/13648470.2024.2397921 · Cited by 11
“Critics also worry about the surveillance, dehu-manization and robotization of care, data travel, algorithmic violence or digital coloniality (Ajana 2017; Lupton 2017; Nafus and Neff 2016; Pendse et al. 2022; Ruckenstein and Schüll 2017; Tamminen and Holmgren 2016).”
Interacting with Masculinities: A Scoping Review
Seaborn, K. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3585770 · Cited by 9
“How could HCI approach, for example, postcolonial masculinities, especially given the decolonizing work [154, 206] already underway? Are there”
BackgroundRochford, B., Pendse, S. R., Kumar, N., & Choudhury, M. D. (2022) · JMIR Mental Health · doi:10.2196/43253 · Cited by 9
“However, the data we analyzed were anonymized metadata and did not include other axes of oppression [76,77] that have an influence on expressions of mental illness, such as race, gender identity, sexual orientation, class, caste, ethnicity, or nationality [50].”
InfluentialSelf-citationLow-Resourced Languages and Online Knowledge Repositories: A Need-Finding Study.
Nigatu, H. H., Canny, J., & Chasins, S. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642605 · Cited by 8
Dreaming big with little therapy devices: automated therapy from India
Lang, C. (2024) · Anthropology and Medicine · doi:10.1080/13648470.2024.2378727 · Cited by 8
“A crucial question here is also whether designing digital mental health ‘otherwise’ and more appropriate may be possible (Pendse et al. 2022).”
Designing Health Recommender Systems to Promote Health Equity: A Socioecological Perspective
Figueroa, C. A., Torkamaan, H., Bhattacharjee, A., Hauptmann, H., Guan, K., & Sedrakyan, G. (2024) · Journal of Medical Internet Research · doi:10.2196/60138 · Cited by 7
“Decolonization involves critically re-evaluating interventions to remove cultural biases [36].”
InfluentialArchitecting Utopias: How AI in Healthcare Envisions Societal Ideals and Human Flourishing
Wieczorek, C., Biggs, H. R., Thiruvenkatanathan, K. P., & Bardzell, S. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713118 · Cited by 8
“In mental health, research highlights gaps in human-centered design [123], ethical concerns of using patient social media in psychiatry [121], potential harms of AI-based mental health predictions [96], and opportunities to support schizophrenia patients with AI [122].”
Cheng, N.-Y., Wong, N., & Reddy, M. C. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713143 · Cited by 6
“…colonialism, which has positioned Western perspectives at the forefront of mental wellbeing conceptualizations, models of mental illness and care, and the design of digital mental health tools, often marginalizing perspectives from non-Western cultural contexts (i.e., Eastern cultures) [96].”
Haghighi, N., Yu, S., Landay, J. A., & Rosner, D. K. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713633 · Cited by 12
Reflective Design for Informal Participatory Algorithm Auditing: A Case Study with Emotion AI
Howell, N., Hartsoe, W. F., Amin, J., & Namani, V. (2024) · Nordic Conference on Human-Computer Interaction · doi:10.1145/3679318.3685411 · Cited by 7
“We also highlight decolonial mental health [104] and ethical guidelines for Emotion AI [96].”
Woo, R., Harley, D., & Wallace, J. R. (2024) · Designing Interactive Systems Conference · doi:10.1145/3643834.3661626 · Cited by 8
“Our participants’ self-refection suggests a need to continue to explore how factors like gender [ 51], culture [47], and identity [36, 66] infuence our experiences across immersive technologies and study design.”
BackgroundMa, A., Patitsas, E., & Sterne, J. (2023) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3593013.3594032 · Cited by 13
“Although we cannot concretely say what the future of anti-oppressive, healing technologies looks like or how we will arrive there, we urge those who are interested in envisioning such a future to turn to scholars that have speculated on forward-thinking topics such as decolonial digital mental health [69], crip techno…”
BackgroundGavade, A. Y., Sidotam, A., & Varanasi, R. A. (2023) · ACM SIGCAS/SIGCHI Conference on Computing and Sustainable Societies (COMPASS) · doi:10.1145/3588001.3609363 · Cited by 7
“To rectify this situation and provide better support, it is essential to increase the visibility of the lived experiences [47].”
BackgroundInfluentialConceptualizing Indigeneity in Social Computing
Das, D., Roy, P. D., Toxtli, C., Awori, K., Vigil-Hayes, M., Choudhury, M., Kumar, N., Ahmed, S. I., & Semaan, B. (2023) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3584931.3611286 · Cited by 7
“…as a metaphor and downplay the material nature of colonialism (e.g., land rights) [28], motivated by recent works in HCI that foreground the social-psychological impacts of colonialism [9, 22], we ask if we can really separate the continued influences of colonialism as material and sociotechnical.”
BackgroundSelf-citation`A Fair Game?': Using Narrative Sensification and Embodied Metaphors for Awareness
Arango, V. J. M., Ovais, M., Youssef, Y., Das, S., van Koningsbruggen, R., & Hornecker, E. (2024) · International Conference on Tangible, Embedded, and Embodied Interaction (TEI) · doi:10.1145/3623509.3633375 · Cited by 7
“In Human-Computer Interaction (HCI) research has –amongst others– discussed computing’s “colonial impulse” [17], envisioned decolonial technologies and praxises (e.g., [66, 74, 79, 86]), and created a manifesto for decolonizing HCI research [5].”
BackgroundPendse, S. R., Kumar, N., & Choudhury, M. D. (2024) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642477 · Cited by 8
Self-citationMeng, H., Zhang, R., Wang, G., Yang, Y., Qin, P., Lee, J., & Lee, Y. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714255 · Cited by 10
Croskey, P., Offert, F., Jacobs, J., & Thaler, K. M. (2025) · ACM Conference on Fairness, Accountability, and Transparency (FAccT) · doi:10.1145/3715275.3732058 · Cited by 10
Popowski, S. A., Meyerhoff, J., Allen, O. M., Nguyen, T., McCall, T., Pederson, A. B., Reddy, M. C., Mohr, D. C., & Kornfield, R. (2025) · JMIR Formative Research · doi:10.2196/73279 · Cited by 7
Loneliness by Design: The Structural Logic of Isolation in Engagement-Driven Systems
Dwyer, L. J. (2025) · International Journal of Environmental Research and Public Health · doi:10.3390/ijerph22091394 · Cited by 7
“Data become a currency that is harvested, analyzed, and often commodified to predict user states, automate interventions, and refine engagement strategies [79].”
InfluentialWhat Knowledge Do We Produce from Social Media Data and How?
Garcia, A. A., Yang, T., & Miceli, M. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3701216 · Cited by 8
Land, Letṧema and Leola: Digital Transformation on a Rural Community’s Own Terms
Magoro, K. D., & Bidwell, N. J. (2022) · IFIP advances in information and communication technology · doi:10.1007/978-3-031-12825-7_4 · Cited by 6
Self-citationSharma, V., Lin, H., Wani, A. S., Katzman, J., Tuli, A., Karusala, N., Bardzell, S., Becker, C., Tomitsch, M., & Kumar, N. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3706731 · Cited by 6
Self-citationWhose, Which, and What Crisis? A Critical Analysis of Crisis in Computing Supply Chains
Lin, C., Dombrowski, L. S., & Bardzell, S. (2025) · Decennial Aarhus Conference · doi:10.1145/3744169.3744179 · Cited by 5
Investigating the Role of Situational Disruptors in Engagement with Digital Mental Health Tools
Bhattacharjee, A., Williams, J. J., Beltzer, M., Meyerhoff, J., Kumar, H., Song, H., Mohr, D. C., Mariakakis, A. T., & Kornfield, R. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757487 · Cited by 8
“Their versatility has been showcased across a spectrum of settings, offering notable benefits like accessibility and personalization of care [109, 115, 141, 157].”
InfluentialCollective Healing to Support Design Futures: Building Community and Exploring Methods
Wieczorek, C., Biggs, H. R., Jack, M., Forlano, L., & Bardzell, S. (2023) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3544549.3573810 · Cited by 4
Leveling the Research Playing Field: Decolonizing Global Health Research Through Web-Based Platforms
Seth, R., Dhaliwal, B. K., Miller, E. A., Best, T., Sullivan, A., Thankachen, B., Qaiyum, Y., & Shet, A. (2023) · Journal of Medical Internet Research · doi:10.2196/46897 · Cited by 4
“Additionally, computational research has also demonstrated how colonialism, and subsequent decolonization, have been incorporated into research design approaches [12,13].”
BackgroundGriggio, C. F., Machuca, M. D. B., Wong-Villacrés, M., Gaytan-Lugo, L. S., Badillo-Urquiola, K. A., Garcia, A. A., Perusquía-Hernández, M., Felice, M. C., Cibrian, F. L., Thomas, M., et al. (2024) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3678884.3681904 · Cited by 4
“To that end, a growing number of scholars have analyzed the colonial systems of power that computing can reproduce [3, 9, 10, 32, 37], engaged in reflections on the harm that their practice could entail for vulnerable populations [20, 24, 25], and drawn from existing work outside of the field to…”
Beyond Culture: Centering Power, Reciprocity, and Justice in HCI and Mental Health Research
Pendse, S. R., Wong, N., Choudhury, M. D., Farao, J., Kumar, N., Namwinga, N., Ramos, G., Wani, A. S., Schleider, J. L., & Reddy, M. C. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3716292 · Cited by 4
Self-citationBogdanova, K., Cila, N., Kudina, O., & Bozzon, A. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3714399 · Cited by 3
“Furthermore, paying attention to that means noting where the system marginalises some forms of articulating distress that are, for example, culturally specific, class-based or gendered [150].”
'Poker with Play Money': Exploring Psychotherapist Training with Virtual Patients
Baseman, C. M., Hasan, M., Swinger, N., Rauch, S. A. M., Hoque, M. E., & Arriaga, R. I. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757450 · Cited by 6
“Further, attempts to adequately represent a diversity of patients and cultures within a virtual patient system may offer an opportunity to align the system with decolonial computing [4, 7] and specifically decolonial mental health [87].”
Farao, J., Pillai, A. G., Mthoko, H., Samuel, M. M., Atwa, M., & Lazem, S. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3716237 · Cited by 3
Implementing healthcare decolonisation for Indigenous people: a systematic review
Kairuz, C. A., Hunter, K., Bennett‐Brook, K., Rojas, I., Herzog, S., Barnier, B., Porykali, B., Yadav, U. N., Crichton, B., Falleni, P., et al. (2025) · International Journal for Equity in Health · doi:10.1186/s12939-025-02705-x · Cited by 4
“Implementing approaches that ignore local context and communities (including local lived experiences, health paradigms, community priorities and cultural values) is itself an act of colonialism [97].”
Bastoni, S., Doğan, K., & Kelders, S. M. (2026) · Behaviour and Information Technology · doi:10.1080/0144929x.2026.2619650 · Cited by 2
“This further excludes experiences and expressions of mental distress that do not fit within the Western models of (digital) mental healthcare (Pendse et al. 2022).”
Cultivating Pedagogies for Post-Growth HCI
Sharma, V., Lin, H., Lu, J., Qiao, H., Wani, A. S., Bremer, C., Engelbutzeder, P., Becker, C., Kumar, N., Jensen, R. H., et al. (2026) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3772363.3778735 · Cited by 2
Self-citationButorac, I., McNaney, R., Thomas, J., Flores-Herrera, A., Seguin, J. P., Northam, J. C., & Carter, A. (2026) · ACM Transactions on Computing for Healthcare · doi:10.1145/3805040 · Cited by 3
Krysztoforska, M., Docherty, N., & Biega, A. J. (2023) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3580717 · Cited by 2
“These include philosophy [13], media studies [107], clinical psychology [114], media psychology [100], science and technology studies [58], sociology [47], and public health studies [82], to name a few.”
BackgroundGhafoerkhan, R. S., Lowe, L., Weme, D. N., Griede, E., & Jeffery, L. R. (2024) · Medicine Anthropology Theory · doi:10.17157/mat.11.2.7725 · Cited by 2
Nurturing Digitally Mediated Post-Growth Work Economies
Sharma, V., Kumar, N., Mirza-Babaei, P., Gautam, A., Lin, C., Wulf, V., & Andalibi, N. (2024) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3678884.3689136 · Cited by 2
Self-citationReconfiguring Psy Expertise in the Digital Age: Two Cases from India
Lang, C. (2025) · Medicine Anthropology Theory · doi:10.17157/mat.12.1.9060 · Cited by 2
“Critics are also concerned about cutbacks in conventional mental health systems through investing in digital mental health, data surveillance, and psy coloniality (Lupton 2017; Pendse et al. 2022).”
Patel, D., Pendse, S. R., Choudhury, M. D., Dsane-Nsor, S., Kruzan, K. P., Kumar, N., Singh, A., & Warner, M. (2022) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3500868.3560483 · Cited by 2
“The privilege given to the West in these conversations echoes patterns from history, in which minority experiences of distress were marginalized [10].”
BackgroundSelf-citationExamining Race in Healthcare-Focused HCI Research
Roe, D., & Marathe, M. (2023) · ACM Conference on Computer Supported Cooperative Work (CSCW) · doi:10.1145/3584931.3607021 · Cited by 2
“Pendse et al. show that the standards and artifacts used in digital mental health tools may exacerbate the inequities faced by historically minoritized groups [22].”
BackgroundHCI Pluriversal Framework for Ancestral Medicine App in Bogota: Asset-Based Design Case Study
Caceres, L. N., Yoo, D., & Hummels, C. (2024) · Journal of Design Service and Social Innovation · doi:10.59528/ms.jdssi2024.0426a16 · Cited by 1
“It underscores the significance of embracing diverse cultural perspectives to promote holistic well-being [45].”
BackgroundXu, T., Cook, S., Semaan, B., & Voida, S. (2025) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713669 · Cited by 1
“However, studies argue that such subjective experiences are often devalued within the “Western medical model” [18, p. 49] of mental health [106].”
Supporting from afar: Exploring Practices and Challenges of Remote Support-Giving for Mental Health
Lee, T.-H., Nambiar, K., Wong, H. K. J., & Leshed, G. (2025) · Proceedings of the ACM on Human-Computer Interaction · doi:10.1145/3757662 · Cited by 2
Evaluating AI-based Mental Health Interventions
Sharma, A. (2026) · ACM eBooks · doi:10.1145/3749728.3749733 · Cited by 1
Bondar, K. M., Bilozir, O. S., Shestopalova, O. P., & Hamaniuk, V. A. (2022) · doi:10.55056/nocote.v12i0 · Cited by 1
Popowski, S. A., Meyerhoff, J., Allen, O. M., Nguyen, T., McCall, T., Pederson, A. B., Reddy, M. C., Mohr, D. C., & Kornfield, R. (2025) · doi:10.2196/preprints.73279 · Cited by 1
Verbeke, K., Jain, C., Shpendi, A., & Borry, P. (2024) · Neuroethics · doi:10.1007/s12152-024-09543-8
“Nevertheless, knowing which groups are using an app (e.g., clinical populations) may be important to generate knowledge about them and to account for differences in data analysis (e.g., ethnicity influences the PHQ-9 questionnaire) [91–96].”
Visualising Lived Experience: Learning from a Master Narrative Framing
Elshehaly, M., Reljan-Delaney, M., Dykes, J. A., Slingsby, A., Wood, J., & Spiegel, S. J. (2024) · IEEE Evaluation and Beyond - Methodological Approaches for Visualization (BELIV) · doi:10.1109/beliv64461.2024.00006
“It is precisely that risk that led Pendse et al. [31] to highlight the importance of centering lived experiences , power relations , and structural factors in design.”
Technoskepticism or Justified Caution? The Future of Human-Centered AI in Mental Health Care
Swinger, N., Moran, L. H., Abdullah, S., Wiese, C. W., Lee, U., Tseng, Y., Sherrill, A. M., & Arriaga, R. I. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3716286
The (Un)making of Data Subjects in Digital Credit Repair Practice
Mwesigwa, D. (2025) · CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA) · doi:10.1145/3706599.3707608
Zhang, Z., Sun, J., Peters, D., & Calvo, R. A. (2025) · Designing Interactive Systems Conference · doi:10.1145/3715336.3735681
Haivoronskyi, H., Balashevych, O., & Miliutina, K. (2025) · Kyiv journal of modern psychology and psychotherapy · doi:10.48020/mppj.2025.01.02
Constructing Everyday Well-Being: Insights from God-Saeng (God生) for Personal Informatics
Song, I., Lee, K., Cho, J., Rapp, A., & Hong, H. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3790766 · Cited by 1
Beyond Content Exposure: Systemic Factors Driving Moderators' Mental Health Crisis in Africa
Abdelkadir, N. A., Yang, T., Kapania, S., Malgwi, K. I., Gebrekidan, F. B., Dinika, A.-A. T., Nsoesie, E. O., Miceli, M., & Chancellor, S. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3791639
“In the following sections, we discuss structural and policy failures, examine the tensions researchers should consider when engaging with moderators, the need to go beyond design implications, and present actionable recommendations for the directly involved stakeholders.”
Vyas, P., Guta, B., Bao, Á., Guerra, R. R., Solen, M., Himam, N. N., Uusberg, A., & MacLean, K. E. (2026) · CHI Conference on Human Factors in Computing Systems · doi:10.1145/3772318.3793190
Metadata
- Authors
- Pendse, S. R., Nkemelu, D., Bidwell, N. J., Jadhav, S., Pathare, S., De Choudhury, M., & Kumar, N.
- Affiliations
- Georgia Institute of Technology (US)
- International University of Management (NA)
- University College London (GB)
- Centre for Mental Health Law and Policy, India
- School of Interactive Computing, Georgia Institute of Technology, United States
- Venue
- CHI Conference on Human Factors in Computing Systems
- Publisher
- ACM
- Published
- 2022-04-29
- Pages
- 1-23
- OpenAlex
- W4225002570
- Cited by
- 115
- References
- 233
- Citations by year
- 2026: 22 · 2025: 30 · 2024: 28 · 2023: 26 · 2022: 9
- FWCI
- 44.45
- Type
- conference paper
- Language
- en
- Open access
- bronze
- doi.org
- Locations
- CHI Conference on Human Factors in Computing Systems (publishedVersion)
- UCL Discovery (University College London) (submittedVersion)
- VBN Forskningsportal (Aalborg Universitet) (submittedVersion, other-oa)
- Funders
- NIH (National Institutes of Health) (R01MH117172)
- Microsoft
- Topics
- Social Sciences › Psychology › Applied Psychology › Digital Mental Health Interventions
- Physical Sciences › Computer Science › Artificial Intelligence › Ethics and Social Impacts of AI
- Health Sciences › Medicine › Psychiatry and Mental health › Mental Health Treatment and Access
- Keywords
- digital mental health, decoloniality, algorithmic bias, power relations, psychological distress, mental illness, structural factors, lived experience, equity in mental health care, health care access, user agency
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