research-article

Reading Face, Reading Health: Exploring Face Reading Technologies for Everyday Health

Authors:

Wenqiang Zhang,

Lizhe QiAuthors Info & Claims

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

Paper No.: 205, Pages 1 - 13

https://doi.org/10.1145/3290605.3300435

Published: 02 May 2019 Publication History

Abstract

With the recent advancement in computer vision, Artificial Intelligence (AI), and mobile technologies, it has become technically feasible for computerized Face Reading Technologies (FRTs) to learn about one's health in everyday settings. However, how to design FRT-based applications for everyday health practices remains unexplored. This paper presents a design study with a technology probe called Faced, a mobile health checkup application based on the facial diagnosis method from Traditional Chinese Medicine (TCM). A field trial of Faced with 10 participants suggests potential usage modes and highlights a number of critical design issues in the use of FRTs for everyday health, including adaptability, practicality, sensitivity, and trustworthiness. We end by discussing design implications to address the unique challenges of fully integrating FRTs into everyday health practices.

Supplementary Material

MP4 File (paper205p.mp4)

Preview video

Download
2.70 MB

References

[1]

Ashraf Abdul, Jo Vermeulen, Danding Wang, Brian Y. Lim, and Mohan Kankanhalli. 2018. Trends and Trajectories for Explainable, Accountable and Intelligible Systems: An HCI Research Agenda. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). ACM, New York, NY, USA, Article 582, 18 pages.

Digital Library

[2]

Yasmina Andreu-Cabedo, Pedro Castellano, Sara Colantonio, Giuseppe Coppini, Riccardo Favilla, Danila Germanese, Giorgos Giannakakis, Daniela Giorgi, Marcus Larsson, Paolo Marraccini, et al. 2015. Mirror mirror on the wall--An intelligent multisensory mirror for well-being self-assessment. In Multimedia and Expo (ICME), 2015 IEEE International Conference on. IEEE, 1--6.

[3]

Amid Ayobi, Paul Marshall, Anna L Cox, and Yunan Chen. 2017. Quantifying the body and caring for the mind: self-tracking in multiple sclerosis. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 6889--6901.

Digital Library

[4]

Hilary Browne, Benjamin B. Bederson, Catherine Plaisant, and Allison Druin. 2001. Designing an Interactive Message Board as a Technology Probe for Family Communication. (2001).

[5]

Felix Cheung. 2011. TCM: Made in China. Nature 480, 7378 (2011).

[6]

James Clawson, Jessica A. Pater, Andrew D. Miller, Elizabeth D. Mynatt, and Lena Mamykina. 2015. No longer wearing:investigating the abandonment of personal health-tracking technologies on craigslist. In ACM International Joint Conference on Pervasive and Ubiquitous Computing. 647--658.

Digital Library

[7]

Gari D Clifford. 200 Shortliffe Edward H, Cimino James J: "Biomedical Informatics; Computer Applications in Health Care and Biomedicine". Biomedical Engineering Online 5, 1 (2006), 61--61.

[8]

Giuseppe Coppini, Veronica Chiara Zuccaia, Renata De Marià, JulieAnne Nazare, Maria Aurora Morales, and Sara Colantonio. 2017. User acceptance of self-monitoring technology to prevent cardio-metabolic diseases: The Wize Mirror. In Wireless and Mobile Computing, Networking and Communications (WiMob),. IEEE, 265--271.

[9]

Ciprian Adrian Corneanu, Marc Oliu Simón, Jeffrey F Cohn, and Sergio Escalera Guerrero. 2016. Survey on rgb, 3d, thermal, and multimodal approaches for facial expression recognition: History, trends, and affect-related applications. IEEE transactions on pattern analysis and machine intelligence 38, 8 (2016), 1548--1568.

[10]

Henriette Cramer, Vanessa Evers, Satyan Ramlal, Maarten van Someren, Lloyd Rutledge, Natalia Stash, Lora Aroyo, and Bob Wielinga. 2008. The effects of transparency on trust in and acceptance of a content-based art recommender. User Modeling and User-Adapted Interaction 18, 5 (20 Aug 2008), 455.

Digital Library

[11]

Daniel A. Epstein, Monica Caraway, Chuck Johnston, An Ping, James Fogarty, and Sean A. Munson. 2016. Beyond Abandonment to Next Steps:Understanding and Designing for Life after Personal Informatics Tool Use. 2016 (2016), 1109--1113.

Digital Library

[12]

Motahhare Eslami, Aimee Rickman, Kristen Vaccaro, Amirhossein Aleyasen, Andy Vuong, Karrie Karahalios, Kevin Hamilton, and Christian Sandvig. 2015. "I Always Assumed That I Wasn'T Really That Close to {Her}": Reasoning About Invisible Algorithms in News Feeds. In Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems (CHI '15). ACM, New York, NY, USA, 153--162.

Digital Library

[13]

Alexander G Logan et al. 2007. Mobile phone-based remote patient monitoring system for management of hypertension in diabetic patients. American Journal of Hypertension 20, 9 (2007), 942--948.

[14]

Darren L Walters et al. 2010. A mobile phone-based care model for outpatient cardiac rehabilitation: the care assessment platform (CAP). BMC Cardiovascular Disorders 10, 1 (2010), 5--5.

[15]

Dena M Bravata et al. 2007. Using Pedometers to Increase Physical Activity and Improve Health: A Systematic Review. JAMA 298, 19 (2007), 2296--2304.

[16]

Felicia Cordeiro et al. 2015. Barriers and Negative Nudges: Exploring Challenges in Food Journaling. 2015 (2015), 1159--1162.

Digital Library

[17]

Francisco Nunes et al. 2015. Self-Care Technologies in HCI: Trends, Tensions, and Opportunities. ACM Transactions on Computer-Human Interaction 22, 6 (2015), 33.

Digital Library

[18]

Jakob E Bardram et al. 2013. Designing mobile health technology for bipolar disorder: a field trial of the monarca system. (2013), 2627-- 2636.

Digital Library

[19]

James Jengweei Lin et al. 2006. Fish'n'Steps: encouraging physical activity with an interactive computer game. ubiquitous computing (2006), 261--278.

Digital Library

[20]

Joyce K Anastasi et al. 2014. Tongue Inspection in TCM: Observations in a Study Sample of Patients Living with HIV. Medical Acupuncture 26, 1 (2014), 15--22.

[21]

Lena Mamykina et al. 2008. MAHI: investigation of social scaffolding for reflective thinking in diabetes management. (2008), 477--486.

Digital Library

[22]

Rui Guo et al. 2015. Analysis and Recognition of Traditional Chinese Medicine Pulse Based on the Hilbert-Huang Transform and Random Forest in Patients with Coronary Heart Disease. Evidence-based Complementary and Alternative Medicine 2015 (2015), 895749--895749.

[23]

Gaver, Bill, Dunne, Tony, Pacenti, and Elena. 1999. Design: Cultural probes. Interactions 6, 1 (1999), 21--29.

Digital Library

[24]

Erik Gronvall and Nervo Verdezoto. 2013. Beyond self-monitoring: understanding non-functional aspects of home-based healthcare technology. (2013), 587--596.

Digital Library

[25]

M. Shamim Hossain and Ghulam Muhammad. 2015. Cloud-Assisted Speech and Face Recognition Framework for Health Monitoring. Mobile Networks Applications 20, 3 (2015), 391--399.

Digital Library

[26]

Yangyang Hu, Hong Lu, Jinhua Cheng, Wenqiang Zhang, Fufeng Li, and Weifei Zhang. 2016. Robust Lip Segmentation Based on Complexion Mixture Model. In Pacific-Rim Conference on Advances in Multimedia Information Processing. 85--94.

Digital Library

[27]

Hilary Hutchinson, Wendy Mackay, Westerlund Bo, Benjamin B. Bederson, Allison Druin, Catherine Plaisant, Michel Beaudouin-Lafon, Helen Evans, Heiko Hansen, and Nicolas Roussel. 2003. Technology probes: inspiring design for and with families. In Sigchi Conference on Human Factors in Computing Systems. 17--24.

Digital Library

[28]

H. Hutchinson, C. Plaisant, and A. Druin. 2002. Case Study: A Message Board as a Technology Probe for Family Communication and Coordination. (2002).

[29]

Yuma Inagawa, Junki Hakamta, and Masataka Tokumaru. 2013. A Support System for Healthy Eating Habits: Optimization of Recipe Retrieval. Springer Berlin Heidelberg. 168--172 pages.

[30]

Brielle Jaekel. {n. d.}. Sephora boosts augmented reality shopping with real-time facial recognition. http://t.cn/EGjuPZK. {Last accessed: August 29, 2018}.

[31]

Matthew Kay, Eun Kyoung Choe, Jesse Shepherd, Benjamin Greenstein, Nathaniel Watson, Sunny Consolvo, and Julie A Kientz. 2012. Lullaby: a capture & access system for understanding the sleep environment. In Proceedings of the 2012 ACM conference on ubiquitous computing. ACM, 226--234.

Digital Library

[32]

K Kleisner, V Chvátalová, and J Flegr. 2014. Perceived Intelligence Is Associated with Measured Intelligence in Men but Not Women. Plos One 9, 3 (2014), e81237.

[33]

Geoff Langdale, Judy Kay, and Bob Kummerfeld. 2006. Using an intergenerational communications system as a 'light-weight' technology probe. In Extended Abstracts Proceedings of the 2006 Conference on Human Factors in Computing Systems, CHI 2006, Montréal, Québec, Canada, April. 1001--1006.

Digital Library

[34]

Fang Li, Maylor K. H. Leung, Namisha Khanna, and Purva Satija. 2007. Online fortune telling system using biometrics feature. In IEEE International Conference on Systems, Man and Cybernetics. 4002--4007.

[35]

Y. M. Li, H. Z. Yang, W. B. Guan, Q. S. Ke, M. Dai, H. P. Xie, and S. J. Zhang. 2008. Therapeutic effect of traditional Chinese medicine on coagulation disorder and accompanying intractable jaundice in hepatitis B virus-related liver cirrhosis patients. World Journal of Gastroenterology 14, 39 (2008), 6060--6064.

[36]

Chang Liu, Changbo Zhao, Guozheng Li, Fufeng Li, and Zhi Wang. 2014. Computerized color analysis for facial diagnosis in traditional Chinese medicine. In IEEE International Conference on Bioinformatics and Biomedicine. 613--614.

[37]

Deborah Lupton. 20 Self-tracking, health and medicine. Health Sociology Review 26, 1 (2017), 1--5.

[38]

Andrew D Miller and Elizabeth D Mynatt. 2014. StepStream: a schoolbased pervasive social fitness system for everyday adolescent health. (2014), 2823--2832.

Digital Library

[39]

Francisco Nunes and Geraldine Fitzpatrick. 2018. Understanding the Mundane Nature of Self-care: Ethnographic Accounts of People Living with Parkinson's. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems. ACM, 402.

Digital Library

[40]

Kingsley C. Nwosu. 2016. MOBILE FACIAL RECOGNITION SYSTEM FOR PATIENT IDENTIFICATION IN MEDICAL EMERGENCIES FOR DEVELOPING ECONOMIES. Journal for the Advancement of Developing Economies 5, 1 (2016), 10.

[41]

William T. Odom, Abigail J. Sellen, Richard Banks, David S. Kirk, Tim Regan, Mark Selby, Jodi L. Forlizzi, and John Zimmerman. 2014. Designing for slowness, anticipation and re-visitation:a long term field study of the photobox. In ACM Conference on Human Factors in Computing Systems. 1961--1970.

Digital Library

[42]

Institute of Medicine (US) Committee on Health Literacy, L NielsenBohlman, A. M. Panzer, and D. A. Kindig. 2004. Health Literacy: A Prescription to End Confusion. National Academies Press 15, 4 (2004), 389--395.

[43]

Aisling Ann Okane, Yvonne Rogers, and Ann Blandford. 2015. Concealing or Revealing Mobile Medical Devices?: Designing for Onstage and Offstage Presentation. (2015), 1689--1698.

Digital Library

[44]

Michel Owayjan, Amer Dergham, Gerges Haber, Nidal Fakih, Ahmad Hamoush, and Elie Abdo. 2013. Face Recognition Security System. In International Joint Conferences on Computer, Information, and Systems Sciences, and Engineering.

[45]

A. Pantazi, A. Sebastian, T. A. Antonakopoulos, and P. Bächtold. 2008. Probe-based ultrahigh-density storage technology. Ibm Journal of Research Development 52, 4.5 (2008), 493--511.

Digital Library

[46]

Enrica Papi, Athina Belsi, and Alison H McGregor. 2015. A knee monitoring device and the preferences of patients living with osteoarthritis: a qualitative study. BMJ open 5, 9 (2015), e007980.

[47]

Stephen Purpura, Victoria Schwanda, Kaiton Williams, William Stubler, and Phoebe Sengers. 2011. Fit4life: the design of a persuasive technology promoting healthy behavior and ideal weight. In Proceedings of the SIGCHI Conference on Human Factors in Computing Systems. ACM, 423--432.

Digital Library

[48]

Wang Qi. 2002. Status and Prospect of Constitutional Theory in Traditional Chinese Medicine. China Journal of Basic Medicine in Traditional Chinese Medicine (2002).

[49]

A Radovic, C Farris, K Reynolds, E. C. Reis, E Miller, and B. D. Stein. 2014. Primary care providers' beliefs about teen and parent barriers to depression care. Journal of Developmental Behavioral Pediatrics Jdbp 35, 8 (2014), 534--8.

[50]

Florian Schroff, Dmitry Kalenichenko, and James Philbin. 2015. FaceNet: A unified embedding for face recognition and clustering. (2015), 815--823.

[51]

Leon F Seltzer. {n. d.}. What Does It Mean When We Stick Our Tongues Out? http://t.cn/EGjudme. {Last accessed: August 31, 2018}.

[52]

J. J. Shu and Y. Sun. 2007. Developing classification indices for Chinese pulse diagnosis. Complementary Therapies in Medicine 15, 3 (2007), 190--198.

[53]

Aneesha Singh, Nadia Bianchi-Berthouze, and Amanda CdeC Williams. 2017. Supporting everyday function in chronic pain using wearable technology. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems. ACM, 3903--3915.

Digital Library

[54]

T Tempark and T Shwayder. 2012. Chinese fortune-telling based on face and body mole positions: a hidden agenda regarding mole removal. Archives of Dermatology 148, 6 (2012), 772.

[55]

Tammy Toscos and Kay Connelly. 2013. Designing for Positive Health Affect: Decoupling Negative Emotion and Health Monitoring Technologies. (2013), 153--160.

Digital Library

[56]

Hitomi Tsujita and Jun Rekimoto. 2011. Smiling makes happier:enhancing positive mood and communication with smileus encouraging digital appliances. In International Conference on Ubiquitous Computing. 1--10.

Digital Library

[57]

Jhim Kiel M. Verame, Enrico Costanza, and Sarvapali D. Ramchurn. 2016. The Effect of Displaying System Confidence Information on the Usage of Autonomous Systems for Non-specialist Applications: A Lab Study. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 4908--4920.

Digital Library

[58]

Yonggang Wang, Yue Zhou, Jie Yang, and Qing Xu. 200 An Image Analysis System for Tongue Diagnosis in Traditional Chinese Medicine. 3314 (2004), 1181--1186.

Digital Library

[59]

Kiyoshi Yasuda, Noriaki Kuwahara, and Kazunari Morimoto. 2009. Remote reminiscence talking and scheduling prompter for individuals with dementia using video phone. In International Conference on Universal Access in Human-Computer Interaction. Springer, 429--438.

Digital Library

[60]

Kaipeng Zhang, Zhanpeng Zhang, Zhifeng Li, and Yu Qiao. 2016. Joint Face Detection and Alignment Using Multitask Cascaded Convolutional Networks. IEEE Signal Processing Letters 23, 10 (2016), 1499-- 1503.

[61]

C. Zhao, G. Z. Li, F. Li, Z. Wang, and C. Liu. 2014. Qualitative and quantitative analysis for facial complexion in traditional Chinese medicine. Biomed Research International 2014, 3 (2014), 207589.

[62]

Jin Haia Zhou, Taoa Yang, Da Qinga Shen, and Xu Dongb Wang. 2010. Construction and application of eight principal syndrome differentiation knowledge base of tongue diagnosis based on ANN. Application Research of Computers 01, 2 (2010), 110--113.

[63]

??? and ???. 2014. ???????????? (Study on Face Shape of Patients with Five-Zang Organs Diseases). In ??? ???????????????????????.

[64]

???, ???, ???, ???, ??, ???, ???, ??, and ???. 2018. ?????????????????"???? ??????? (Study of Yunzhongyi Mobile Health Management Platform Based on Tongue,Face and Asking Diagnosis Information). ??????? 2 (2018).

[65]

??? and ???. 2015. ????????????????? ???? (Adaptive Facial Skin Region Extraction Based on Lip Color and Complexion). ?????? 31, 8 (2015), 1--3.

Cited By

Xiong ZFu SZhu YZhu CMa XFan M(2024)“It is hard to remove from my eye”: Design Makeup Residue Visualization System for Chinese Traditional Opera (Xiqu) PerformersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642261(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642261
Anuyah OWan RAdejoro CYeh TMetoyer RBadillo-Urquiola K(2023)Cultural Considerations in AI Systems for the Global South: A Systematic ReviewProceedings of the 4th African Human Computer Interaction Conference10.1145/3628096.3629046(125-134)Online publication date: 27-Nov-2023
https://dl.acm.org/doi/10.1145/3628096.3629046
Pinski MAdam MBenlian A(2023)AI Knowledge: Improving AI Delegation through Human EnablementProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580794(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580794
Show More Cited By

Index Terms

Reading Face, Reading Health: Exploring Face Reading Technologies for Everyday Health
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Empirical studies in HCI

Recommendations

On Clinical, Philosophical, Ethical and Behavioural Concepts for Personalised Insilico Medicine Supporting "Co-production of Health"
Proceedings of the 8th International Conference on Universal Access in Human-Computer Interaction. Aging and Assistive Environments - Volume 8515

Telemedical technology is constructed with the purpose ofcompensating distance in delivery of healthcare provisions within institutional frameworks utilizing supply-side-driven service models and ICT to "organise the delivery of healthcare". The aim of ...
Crossing HCI and Health: Advancing Health and Wellness Technology Research in Home and Community Settings
CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

The ubiquity of mobile technology and advances in wearable health and well-being technologies offer exciting opportunities for technology supported home and community care. But are we ready for digitally enabled self-care? How can the CHI community ...
Mobile health: beyond consumer apps
MobileHCI '14: Proceedings of the 16th international conference on Human-computer interaction with mobile devices & services

The explosion of apps for the medical and wellness sectors has been noted by many. Consumer apps, which provide innovative solutions for self management for a range of health problems have flooded the market, due to high consumer demand. More recently ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '19: Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

May 2019

9077 pages

ISBN:9781450359702

DOI:10.1145/3290605

General Chairs:
Stephen Brewster
University of Glasgow, Scotland, UK
,
Geraldine Fitzpatrick
TU Wien, Austria
,
Program Chairs:
Anna Cox
University College London, UK
,
Vassilis Kostakos
University of Melbourne, Australia

Copyright © 2019 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 May 2019

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Funding Sources

National Natural Science Foundation of China
National Key Research and Development Plan

Conference

CHI '19

Sponsor:

SIGCHI

CHI '19: CHI Conference on Human Factors in Computing Systems

May 4 - 9, 2019

Glasgow, Scotland Uk

Acceptance Rates

CHI '19 Paper Acceptance Rate 703 of 2,958 submissions, 24%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

14
Total Citations
View Citations
1,079
Total Downloads

Downloads (Last 12 months)116
Downloads (Last 6 weeks)9

Reflects downloads up to 03 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Xiong ZFu SZhu YZhu CMa XFan M(2024)“It is hard to remove from my eye”: Design Makeup Residue Visualization System for Chinese Traditional Opera (Xiqu) PerformersProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642261(1-16)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642261
Anuyah OWan RAdejoro CYeh TMetoyer RBadillo-Urquiola K(2023)Cultural Considerations in AI Systems for the Global South: A Systematic ReviewProceedings of the 4th African Human Computer Interaction Conference10.1145/3628096.3629046(125-134)Online publication date: 27-Nov-2023
https://dl.acm.org/doi/10.1145/3628096.3629046
Pinski MAdam MBenlian A(2023)AI Knowledge: Improving AI Delegation through Human EnablementProceedings of the 2023 CHI Conference on Human Factors in Computing Systems10.1145/3544548.3580794(1-17)Online publication date: 19-Apr-2023
https://dl.acm.org/doi/10.1145/3544548.3580794
van Berkel NSarsenbayeva ZGoncalves J(2023)The methodology of studying fairness perceptions in Artificial IntelligenceInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2022.102954170:COnline publication date: 8-Feb-2023
https://dl.acm.org/doi/10.1016/j.ijhcs.2022.102954
Maida CXiong DMarcus MZhou LHuang YLyu YShen JOsuna-Garcia ALiu H(2022)Quantitative data collection approaches in subject-reported oral health research: a scoping reviewBMC Oral Health10.1186/s12903-022-02399-522:1Online publication date: 3-Oct-2022
https://doi.org/10.1186/s12903-022-02399-5
Zhou GNagle ATakahashi GHornbeck TLoomis ASmith BDuerstock BYu D(2022)Bringing Patient Mannequins to Life: 3D Projection Enhances Nursing SimulationProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3517562(1-15)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3517562
SUI DZHANG LYANG F(2022)Data-driven based four examinations in TCM: a surveyDigital Chinese Medicine10.1016/j.dcmed.2022.12.0045:4(377-385)Online publication date: Dec-2022
https://doi.org/10.1016/j.dcmed.2022.12.004
Asan OChoudhury A(2021)Research Trends in Artificial Intelligence Applications in Human Factors Health Care: Mapping ReviewJMIR Human Factors10.2196/282368:2(e28236)Online publication date: 18-Jun-2021
https://doi.org/10.2196/28236
Lee SGlasser ADingman BXia ZMetaxas DNeidle CHuenerfauth M(2021)American Sign Language Video Anonymization to Support Online Participation of Deaf and Hard of Hearing UsersProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3471200(1-13)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3441852.3471200
Wang DWang LZhang ZWang DZhu HGao YFan XTian FKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)“Brilliant AI Doctor” in Rural Clinics: Challenges in AI-Powered Clinical Decision Support System DeploymentProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445432(1-18)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445432
Show More Cited By

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

HTML Format

View this article in HTML Format.

Media

Figures

Other

Tables

View Table of Contents