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- sigchi
No abstract available.
Challenges and Opportunities for Interactive Technology to Support Parents of HIV-Positive Children in Ethiopia in the Disclosure Process
Fearing stigma, parents often hide their children's HIV diagnosis from them, and postpone disclosure, in turn negatively impacting children's well-being. Our work explores whether interactive technology can support disclosure. In the first study, we ...
Children with ADHD and their Care Ecosystem: Designing Beyond Symptoms
Designing for children with ADHD has been of increasing interest to the HCI community. However, current approaches do not adequately involve all relevant stakeholders, and primarily focus on addressing symptoms, following a medical model of disability ...
Chronic Care in a Life Transition: Challenges and Opportunities for Artificial Intelligence to Support Young Adults With Type 1 Diabetes Moving to University
Self-managing a chronic condition involves adapting management strategies to life’s continual change. Among these changes, moments of significant life transition can render routine self-management practices obsolete without significant modification to ...
Exploring the digital support needs of caregivers of people with serious mental illness
- Farheen Siddiqui,
- Delvin Varghese,
- Pushpendra Singh,
- Sunita Bapuji Bayyavarapu,
- Stephen Lindsay,
- Dharshani Chandrasekara,
- Pranav Kulkarni,
- Ling Wu,
- Taghreed Alshehri,
- Patrick Olivier
In low-and middle-income countries like India, people with severe mental illness (PSMI) rely on their families as a primary source of care, given the lack of support from healthcare systems. The demanding nature of caregiving places significant physical ...
Infrastructural Work Behind The Scene: A Study of Formalized Peer-support Practices for Mental Health
Peer-support has long been recognized as valuable for mental health, and has been commonly practiced online over the Internet. However, it is often reported that peer exchange online can have harmful effects, and there has been limited research on how ...
Understanding the Online Social Support Dynamics for Postpartum Depression
Postpartum depression (PPD) is one of the most prevalent mental health disorder following childbirth. Mothers utilize social media and online forums throughout postpartum to seek mental health support. In this paper, we aim to gain a comprehensive ...
Cited By
- Yamanaka S, Usuba H, Oba Y, Kinoshita T, Tomihari R, Kasahara N and Miyashita H (2024). Verifying Finger-Fitts Models for Normalizing Subjective Speed-Accuracy Biases, Proceedings of the ACM on Human-Computer Interaction, 8:MHCI, (1-24), Online publication date: 24-Sep-2024.
- Chang Y, Wang Y, Chang C, Tan W, Hsu Y, Chen Y and Chen M (2024). Experience from Designing Augmented Reality Browsing Interfaces for Real-world Walking Scenarios, Proceedings of the ACM on Human-Computer Interaction, 8:MHCI, (1-26), Online publication date: 24-Sep-2024.
- Ji K, Hettiachchi D, Salim F, Scholer F and Spina D Characterizing Information Seeking Processes with Multiple Physiological Signals Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (1006-1017)
- Seraji M, Piray P, Zahednejad V and Stuerzlinger W (2024). Analyzing User Behaviour Patterns in a Cross-Virtuality Immersive Analytics System, IEEE Transactions on Visualization and Computer Graphics, 30:5, (2613-2623), Online publication date: 1-May-2024.
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Benda N, Desai P, Reza Z, Zheng A, Kumar S, Harkins S, Hermann A, Zhang Y, Joly R, Kim J, Pathak J and Reading Turchioe M (2024). Patient Perspectives on AI for Mental Health Care: With Great [Computing] Power, Comes Great Responsibility (Preprint), JMIR Mental Health, 10.2196/58462
- Cabric F, Bjarnadóttir M, Ling M, Rafnsdóttir G and Isenberg P (2023). Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation, IEEE Transactions on Visualization and Computer Graphics, 30:1, (316-326), Online publication date: 1-Jan-2024.
Index Terms
- Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
Recommendations
Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
CHI '19 | 2,958 | 703 | 24% |
CHI '18 | 2,590 | 666 | 26% |
CHI '17 | 2,400 | 600 | 25% |
CHI '16 | 2,435 | 565 | 23% |
CHI '15 | 2,120 | 486 | 23% |
CHI '14 | 2,043 | 465 | 23% |
CHI '13 | 1,963 | 392 | 20% |
CHI '11 | 1,532 | 410 | 27% |
CHI '09 | 1,130 | 277 | 25% |
CHI '08 | 714 | 157 | 22% |
CHI '07 | 840 | 182 | 22% |
CHI '05 | 372 | 93 | 25% |
CHI '03 | 468 | 75 | 16% |
CHI '02 | 414 | 61 | 15% |
CHI '01 | 352 | 69 | 20% |
CHI '00 | 336 | 72 | 21% |
CHI '99 | 312 | 78 | 25% |
CHI '98 | 351 | 81 | 23% |
CHI '97 | 234 | 55 | 24% |
CHI '96 | 256 | 55 | 21% |
CHI '94 | 263 | 70 | 27% |
CHI '93 | 330 | 62 | 19% |
CHI '92 | 216 | 67 | 31% |
CHI '91 | 240 | 56 | 23% |
CHI '90 | 260 | 47 | 18% |
CHI '89 | 199 | 54 | 27% |
CHI '88 | 187 | 39 | 21% |
CHI '87 | 166 | 46 | 28% |
CHI '86 | 122 | 47 | 39% |
CHI '85 | 170 | 35 | 21% |
CHI '83 | 176 | 59 | 34% |
CHI '82 | 165 | 75 | 45% |
Overall | 26,314 | 6,199 | 24% |