research-article

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Comparing Perspectives Around Human and Technology Support for Contact Tracing

Authors:

Tera L. Reynolds,

Daniel A. EpsteinAuthors Info & Claims

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

Article No.: 200, Pages 1 - 15

https://doi.org/10.1145/3411764.3445669

Published: 07 May 2021 Publication History

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Abstract

Various contact tracing approaches have been applied to help contain the spread of COVID-19, with technology-based tracing and human tracing among the most widely adopted. However, governments and communities worldwide vary in their adoption of digital contact tracing, with many instead choosing the human approach. We investigate how people perceive the respective benefits and risks of human and digital contact tracing through a mixed-methods survey with 291 respondents from the United States. Participants perceived digital contact tracing as more beneficial for protecting privacy, providing convenience, and ensuring data accuracy, and felt that human contact tracing could help provide security, emotional reassurance, advice, and accessibility. We explore the role of self-tracking technologies in public health crisis situations, highlighting how designs must adapt to promote societal benefit rather than just self-understanding. We discuss how future digital contact tracing can better balance the benefits of human tracers and technology amidst the complex contact tracing process and context.

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References

[1]

Aarogya Setu: Why India's Covid-19 Contact Tracing App is Controversial - BBC News. https://www.bbc.com/news/world-asia-india-52659520

[2]

Johannes Abeler, Matthias Bäcker, Ulf Buermeyer, and Hannah Zillessen. (2020). Covid-19 Contact Tracing and Data Protection can Go Together. JMIR mHealth and uHealth 8, e19359. http://doi.org/10.2196/19359

[3]

Angeliki Aktypi, Jason R C Nurse, and Michael Goldsmith. (2017). Unwinding Ariadne's Identity Thread: Privacy Risks with Fitness Trackers and Online Social Networks. Proceedings of the 2017 on Multimedia Privacy and Security - MPS ’17, ACM Press. https://doi.org/10.1145/3137616.3137617

Digital Library

[4]

Ali Alkhatib. (2020). We Need to Talk about Digital Contact Tracing. Interactions, 27(4), 84–89. http://doi.org/10.1145/3404205

Digital Library

[5]

Tim Althoff, Rok Sosič, Jennifer L. Hicks, Abby C. King, Scott L. Delp, and Jure Leskovec. (2017). Large-Scale Physical Activity Data Reveal Worldwide Activity Inequality. Nature, 547(7663), 336–339. http://doi.org/10.1038/nature23018

[6]

Apple and Google Release Sample Code for Contract Tracing Apps. https://www.cnbc.com/2020/05/04/apple-and-google-release-sample-code-for-contract-tracing-apps.html

[7]

Kristin Baltrusaitis, John S. Brownstein, Samuel V. Scarpino, Eric Bakota, Adam W. Crawley, Giuseppe Conidi, Julia Gunn, Josh Gray, Anna Zink, and Mauricio Santillana. (2018). Comparison of Crowd-Sourced, Electronic Health Records Based, and Traditional Health-Care Based Influenza-Tracking Systems at Multiple Spatial Resolutions in the United States of America. BMC Infectious Diseases, 18(1), 403. http://doi.org/10.1186/s12879-018-3322-3

[8]

Bluetooth Signals From Your Smartphone Could Automate Covid-19 Contact Tracing While Preserving Privacy | MIT News | Massachusetts Institute of Technology. https://news.mit.edu/2020/bluetooth-covid-19-contact-tracing-0409

[9]

Isobel Braithwaite, Thomas Callender, Miriam Bullock, and Robert W Aldridge. (2020). Automated and Partly Automated Contact Tracing: A Systematic Review to Inform the Control of COVID-19. The Lancet Digital Health, 0(0). http://doi.org/10.1016/s2589-7500(20)30184-9

[10]

Virginia Braun and Victoria Clarke. (2012). Thematic Analysis. In APA handbook of research methods in psychology, Vol 2: Research designs: Quantitative, qualitative, neuropsychological, and biological. American Psychological Association, 57–71. http://doi.org/10.1037/13620-004

[11]

Samantha K. Brooks, Rebecca K. Webster, Louise E. Smith, Lisa Woodland, Simon Wessely, Neil Greenberg, and Gideon James Rubin. (2020). The Psychological Impact of Quarantine and How to Reduce it: Rapid Review of the Evidence. The Lancet 395, 912–920. http://doi.org/10.1016/S0140-6736(20)30460-8

[12]

Vir B. Bulchandani, Saumya Shivam, Sanjay Moudgalya, and S. L. Sondhi. (2020). Digital Herd Immunity and COVID-19. http://arxiv.org/abs/2004.07237

[13]

Can Asymptomatic Patients Spread Coronavirus? Here's What a New Study Reveals. | Advisory Board Daily Briefing. https://www.advisory.com/daily-briefing/2020/08/10/asymptomatic

[14]

Marco Cascella, Michael Rajnik, Arturo Cuomo, Scott C. Dulebohn, and Raffaela Di Napoli. (2020). Features, Evaluation and Treatment Coronavirus (COVID-19). StatPearls Publishing. http://www.ncbi.nlm.nih.gov/ /32150360

[15]

Case Investigation and Contact Tracing: Part of a Multipronged Approach to Fight the COVID-19 Pandemic | CDC. https://www.cdc.gov/coronavirus/2019-ncov/php/principles-contact-tracing.html

[16]

CDC - BRFSS - Questionnaires. https://www.cdc.gov/brfss/questionnaires/index.htm

[17]

CDC and Ncird. Guidelines for the Implementation and Use of Digital Tools to A ugment Traditional Contact Tracing COVID-19 Contact Tracing for Health Departments.

[18]

Apoorva Chauhan and Amanda Lee Hughes. (2017). Providing Online Crisis Information: An Analysis of Official Sources during the 2014 Carlton Complex Wildfire. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 3151–3162. http://doi.org/10.1145/3025453.3025627

Digital Library

[19]

Eun Kyoung Choe, Saeed Abdullah, Mashfiqui Rabbi, Edison Thomaz, Daniel A. Epstein, Felicia Cordeiro, Matthew Kay, Gregory D. Abowd, Tanzeem Choudhury, James Fogarty, Bongshin Lee, Mark Matthews, and Julie A. Kientz. (2017). Semi-Automated Tracking: A Balanced Approach for Self-Monitoring Applications. IEEE Pervasive Computing, 16(1), 74–84. http://doi.org/10.1109/MPRV.2017.18

Digital Library

[20]

Contact-Tracing Apps are Political. https://www.brookings.edu/techstream/contact-tracing-apps-are-political/

[21]

Contact tracing - Coronavirus COVID-19 Response. https://covid19.ca.gov/contact-tracing/

[22]

Contact Tracing Apps Now Cover Nearly Half of America. It's Not Too Late to Use One. | MIT Technology Review. https://www.technologyreview.com/2020/12/14/1014426/covid-california-contact-tracing-app-america-states/

[23]

Contact Tracing from Avaya | Leverage Automation and AI | Avaya. https://www.avaya.com/en/contact-tracing/?CTA=20US-CC-DG-CTTRC-SEM&TAC=20US-CC-DG-CTTRC-SEM&gclid=Cj0KCQjwqfz6BRD8ARIsAIXQCf0wS6b9P8SiZiDYalVflbOCQHYk2VyPITRQ7K1d_9pvCC5IlQoHLUMaApaQEALw_wcB

[24]

Coronavirus (COVID-19) Frequently Asked Questions | CDC. https://www.cdc.gov/coronavirus/2019-ncov/faq.html#Contact-Tracing

[25]

Country Spotlight: Singapore's TraceTogether Program | Berkman Klein Center. https://cyber.harvard.edu/story/2020-07/country-spotlight-singapores-tracetogether-program

[26]

COVID-19 Contact Tracing | CDC. https://www.cdc.gov/coronavirus/2019-ncov/daily-life-coping/contact-tracing.html

[27]

COVID-19 Contact Tracing Apps Reach 9% Adoption In Most Populous Countries. https://sensortower.com/blog/contact-tracing-app-adoption

[28]

COVID Symptom Study - Help Slow the Spread of COVID-19. https://covid.joinzoe.com/us-2

[29]

COVIDSafe app | Australian Government Department of Health. https://www.health.gov.au/resources/apps-and-tools/covidsafe-app

[30]

COVIDWISE App Tops 300,000 Downloads. https://www.nbc12.com/2020/08/12/covidwise-app-tops-downloads/

[31]

COVIDWISE on the App Store. https://apps.apple.com/us/app/id1518059690

[32]

Crisis Informatics Research Literature Resource - Google Docs. https://docs.google.com/document/d/1g6I8Br3vTC04iXVHFTee6arKVld89x9bGvSEeN_NaPU/edit#

[33]

Cyberattack Hits HHS During Coronavirus Response - Bloomberg. https://www.bloomberg.com/news/articles/2020-03-16/u-s-health-agency-suffers-cyber-attack-during-covid-19-response

[34]

Digital Tools for COVID-19 Contact Tracing. https://www.who.int/publications/i/item/WHO-2019-nCoV-Contact_Tracing-Tools_Annex-2020.1

[35]

Ensheng Dong, Hongru Du, and Lauren Gardner. (2020). An Interactive Web-Based Dashboard to Track COVID-19 in Real Time. The Lancet Infectious Diseases 20, 533–534. http://doi.org/10.1016/S1473-3099(20)30120-1

[36]

Daniel A. Epstein, Clara Caldeira, Mayara Costa Figueiredo, Xi Lu, Lucas M. Silva, Lucretia Williams, Jong Ho Lee, Qingyang Li, Simran Ahuja, Qiuer Chen, Payam Dowlatyari, Craig Hilby, Sazeda Sultana, Elizabeth V. Eikey, and Yunan Chen. (2020). Mapping and Taking Stock of the Personal Informatics Literature. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 4(4), 1–38. http://doi.org/10.1145/3432231

Digital Library

[37]

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. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2016), 1109–1113. https://doi.org/10.1145/2858036.2858045

Digital Library

[38]

Luca Ferretti, Chris Wymant, Michelle Kendall, Lele Zhao, Anel Nurtay, Lucie Abeler-Dörner, Michael Parker, David Bonsall, and Christophe Fraser. (2020). Quantifying SARS-CoV-2 Transmission Suggests Epidemic Control with Digital Contact Tracing. Science, 368(6491). http://doi.org/10.1126/science.abb6936

[39]

Clark C. Freifeld, Rumi Chunara, Sumiko R. Mekaru, Emily H. Chan, Taha Kass-Hout, Anahi Ayala Iacucci, and John S. Brownstein. (2010). Participatory Epidemiology: Use of Mobile Phones for Community-Based Health Reporting. PLoS Medicine, 7(12), e1000376. http://doi.org/10.1371/journal.pmed.1000376

[40]

Vicki S. Freimuth. (2006). Order Out of Chaos: The Self-Organization of Communication Following the Anthrax Attacks. Health Communication 20, 141–148. http://doi.org/10.1207/s15327027hc2002_5

[41]

Sandra Gabriele and Sonia Chiasson. (2020). Understanding Fitness Tracker Users’ Security and Privacy Knowledge, Attitudes and Behaviours. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 1–12. http://doi.org/10.1145/3313831.3376651

Digital Library

[42]

Urs Gasser, Marcello Ienca, James Scheibner, Joanna Sleigh, and Effy Vayena. (2020). Digital Tools against COVID-19: Taxonomy, Ethical challenges, and Navigation aid. The Lancet Digital Health 2, e425–e434. http://doi.org/10.1016/S2589-7500(20)30137-0

[43]

Mitchell L. Gordon, Tim Althoff, and Jure Leskovec. (2019). Goal-Setting and Achievement in Activity Tracking Apps: A case study of MyFitnessPal. The Web Conference 2019 - Proceedings of the World Wide Web Conference, WWW 2019, Association for Computing Machinery, Inc, 571–582. http://doi.org/10.1145/3308558.3313432

Digital Library

[44]

Xinning Gui, Yubo Kou, Kathleen H. Pine, and Yunan Chen. (2017). Managing Uncertainty: Using Social Media for Risk Assessment during a Public Health Crisis. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 4520–4533. http://doi.org/10.1145/3025453.3025891

Digital Library

[45]

Xinning Gui, Yubo Kou, Kathleen Pine, Elisa Ladaw, Harold Kim, Eli Suzuki-Gill, and Yunan Chen. (2018). Multidimensional Risk Communication: Public Discourse on Risks During an Emerging Epidemic. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 1–14. http://doi.org/10.1145/3173574.3173788

Digital Library

[46]

GuideSafe on the App Store. https://apps.apple.com/us/app/guidesafe/id1519514691

[47]

Rajan Gupta, Manan Bedi, Prashi Goyal, Srishti Wadhera, and Vaishnavi Verma. (2020). Analysis of COVID-19 Tracking Tool in India: Case Study of Aarogya Setu Mobile Application. Digital Government: Research and Practice, 1(4), 1–8. http://doi.org/10.1145/3416088

Digital Library

[48]

Cassandra Harrison, Mohip Jorder, Henri Stern, Faina Stavinsky, Vasudha Reddy, Heather Hanson, HaeNa Waechter, Luther Lowe, Luis Gravano, Sharon Balter, and Centers for Disease Control and Prevention (CDC). (2014). Using Online Reviews by Restaurant Patrons to Identify Unreported Cases of Foodborne Illness - New York City, 2012-2013. MMWR. Morbidity and mortality weekly report, 63(20), 441–5. http://www.ncbi.nlm.nih.gov/ /24848215

[49]

Home | Covid Near You. https://covidnearyou.org/us/en-US

[50]

Matthew K. Hong, Udaya Lakshmi, Thomas A. Olson, and Lauren Wilcox. (2018). Visual ODLs: Co-Designing Patient-Generated Observations of Daily Living to Support Data-Driven Conversations in Pediatric Care. Conference on Human Factors in Computing Systems - Proceedings, Association for Computing Machinery, 1–13. http://doi.org/10.1145/3173574.3174050

Digital Library

[51]

How Digital Contact Tracing Slowed Covid-19 in East Asia. https://hbr.org/2020/04/how-digital-contact-tracing-slowed-covid-19-in-east-asia

[52]

How Long Will Coronavirus Last? Pandemic Will Stretch Into 2021 - Bloomberg. https://www.bloomberg.com/news/features/2020-06-18/we-will-be-living-with-the-coronavirus-pandemic-well-into-2021

[53]

How to Stop the Stigma That's Spreading with COVID-19 | South Shore Health. https://www.southshorehealth.org/wellness/blog/how-stop-stigma-thats-spreading-covid-19

[54]

Heewon Kim, Meara Faw, and Andreas Michaelides. (2017). Mobile But Connected: Harnessing the Power of Self-Efficacy and Group Support for Weight Loss Success through mHealth Intervention. Journal of Health Communication, 22(5), 395–402. http://doi.org/10.1080/10810730.2017.1296510

[55]

Young-Ho Kim, Jae Ho Jeon, Bongshin Lee, Eun Kyoung Choe, and Jinwook Seo. (2017). OmniTrack: A Flexible Self-Tracking Approach Leveraging Semi-Automated Tracking. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 1(3), 1–28. http://doi.org/10.1145/3130930

Digital Library

[56]

Rafal Kocielnik, Elena Agapie, Alexander Argyle, Dennis T. Hsieh, Kabir Yadav, Breena Taira, and Gary Hsieh. (2019). HarborBot: A Chatbot for Social Needs Screening. AMIA ... Annual Symposium proceedings. AMIA Symposium, 2019, 552–561. https://botui.org/

[57]

Leslie Lenert and Brooke Yeager McSwain. (2020). Balancing Health Privacy, Health Information Exchange, and Research in the Context of the COVID-19 Pandemic. Journal of the American Medical Informatics Association 27, 963–966. http://doi.org/10.1093/jamia/ocaa039

[58]

Ian Li, Anind Dey, and Jodi Forlizzi. (2010). A Stage-based Model of Personal Informatics Systems. Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (CHI 2010), 557–566. https://doi.org/10.1145/1753326.1753409

Digital Library

[59]

Life as a Covid-19 Contact Tracer: Sleuthing, Stress, Going Off-Script - STAT. https://www.statnews.com/2020/05/18/coronavirus-contact-tracer-sleuthing-stress-veering-off-script/

[60]

Brian Y. Lim, Judy Kay, and Weilong Liu. (2019). How Does a Nation Walk? Interpreting Large-Scale Step Count Activity with Weekly Streak Patterns. Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, 3(2), 1–46. http://doi.org/10.1145/3328928

Digital Library

[61]

Mobile Tracking and Privacy in the Coronavirus Pandemic | ACM Interactions. https://interactions.acm.org/archive/view/july-august-2020/mobile-tracking-and-privacy-in-the-coronavirus-pandemic?doi=10.1145%2F3404121

[62]

New York City Partnering with Twilio for Contact Tracing Initiative - TechRepublic. https://www.techrepublic.com/article/new-york-city-partnering-with-twilio-for-contact-tracing-initiative/

[63]

Xinru Page, Alfred Kobsa, and Bart P Knijnenburg. (2012). Don't Disturb My Circles! Boundary Preservation Is at the Center of Location-Sharing Concerns. Proceedings of the Thirteenth International AAAI Conference on Web and Social Media. https://www.ics.uci.edu/∼kobsa/papers/2012-ICWSM-kobsa.pdf

[64]

Leysia Palen and Sophia B. Liu. (2007). Citizen Communications in Crisis: Anticipating a Future of ICT-Supported Public Participation. Conference on Human Factors in Computing Systems - Proceedings, ACM Press, 727–736. http://doi.org/10.1145/1240624.1240736

Digital Library

[65]

Sangchul Park, Gina Jeehyun Choi, and Haksoo Ko. (2020). Information Technology-Based Tracing Strategy in Response to COVID-19 in South Korea - Privacy Controversies. JAMA - Journal of the American Medical Association, 323(21), 2129–2130. http://doi.org/10.1001/jama.2020.6602

[66]

Prolific | Online Participant Recruitment for Surveys and Market Research. https://www.prolific.co/

[67]

Qualtrics XM // The Leading Experience Management Software. https://www.qualtrics.com/

[68]

Roundup: Tech's Role in Tracking, Testing, Treating COVID-19 | MobiHealthNews. https://www.mobihealthnews.com/news/roundup-techs-role-tracking-testing-treating-covid-19

[69]

Jilian A. Sacks, Elizabeth Zehe, Cindil Redick, Alhoussaine Bah, Kai Cowger, Mamady Camara, Aboubacar DIallo, Abdel Nasser Iro Gigo, Ranu S. Dhillon, and Anne Liu. (2015). Introduction of Mobile Health Tools to Support Ebola Surveillance and Contact Tracing in Guinea. Global Health Science and Practice, 3(4), 646–659. http://doi.org/10.9745/GHSP-D-15-00207

[70]

Ali Shameli, Tim Althoff, Amin Saberi, and Jure Leskovec. (2019). How Gamification Affects Physical Activity: Large-scale Analysis of Walking Challenges in a Mobile Application. 26th International World Wide Web Conference 2017, WWW 2017 Companion, International World Wide Web Conferences Steering Committee, 455–463. http://doi.org/10.1145/3041021.3054172

Digital Library

[71]

Singapore Government Launches New App for Contact Tracing to Combat Spread of COVID-19 | MobiHealthNews. https://www.mobihealthnews.com/news/asia-pacific/singapore-government-launches-new-app-contact-tracing-combat-spread-covid-19

[72]

Singapore Says COVID-19 Contact-Tracing Data Can Be Requested By Police: Coronavirus Updates: NPR. https://www.npr.org/sections/coronavirus-live-updates/2021/01/05/953604553/singapore-says-covid-19-contact-tracing-data-can-be-requested-by-police

[73]

Mark S. Smolinski, Adam W. Crawley, Kristin Baltrusaitis, Rumi Chunara, Jennifer M. Olsen, Oktawia Wójcik, Mauricio Santillana, Andre Nguyen, and John S. Brownstein. (2015). Flu near you: Crowdsourced symptom reporting spanning 2 influenza seasons. American Journal of Public Health, 105(10), 2124–2130. http://doi.org/10.2105/AJPH.2015.302696

[74]

Social Distancing, Quarantine, and Isolation. https://www.cdc.gov/coronavirus/2019-ncov/prevent-getting-sick/social-distancing.html

[75]

South Korea's Widespread Testing And Contact Tracing Lead To First Day With No New Cases. https://www.forbes.com/sites/alexandrasternlicht/2020/04/30/south-koreas-widespread-testing-and-contact-tracing-lead-to-first-day-with-no-new-cases/#7013fa8c5abf

[76]

Kate Starbird and Leysia Palen. (2011). “Voluntweeters”: Self-Organizing by Digital Volunteers in Times of Crisis. Conference on Human Factors in Computing Systems - Proceedings, ACM Press, 1071–1080. http://doi.org/10.1145/1978942.1979102

Digital Library

[77]

State Approaches to Contact Tracing during the COVID-19 Pandemic – The National Academy for State Health Policy. https://www.nashp.org/state-approaches-to-contact-tracing-covid-19/

[78]

“The First Day was Really Hard”: Life as A Contact Tracer | MIT Technology Review. https://www.technologyreview.com/2020/05/10/1001534/first-person-america-covid-19-contact-tracer-experience/

[79]

Zachary O. Toups and Andruid Kerne. (2007). Implicit Coordination in Firefighting Practice: Design Implications for Teaching Fire Emergency Responders. Conference on Human Factors in Computing Systems - Proceedings, ACM Press, 707–716. http://doi.org/10.1145/1240624.1240734

Digital Library

[80]

U.S. Census Bureau QuickFacts: United States. https://www.census.gov/quickfacts/fact/table/US/PST045219

[81]

Urban Residents in States Hit Hard by COVID-19 Most Likely to See it as a Threat to Daily Life | Pew Research Center. https://www.pewresearch.org/fact-tank/2020/03/20/urban-residents-in-states-hit-hard-by-covid-19-most-likely-to-see-it-as-a-threat-to-daily-life/

[82]

Sarah Vieweg, Amanda L. Hughes, Kate Starbird, and Leysia Palen. (2010). Microblogging during Two Natural Hazards Events: What Twitter may Contribute to Situational Awareness. Conference on Human Factors in Computing Systems - Proceedings, ACM Press, 1079–1088. http://doi.org/10.1145/1753326.1753486

Digital Library

[83]

Virginia Becomes First State to Try Covidwise Pandemic App From Apple, Google – NBC4 Washington. https://www.nbcwashington.com/news/health/virginia-becomes-first-state-to-try-covidwise-pandemic-app-from-apple-google/2382430/

[84]

Sera Whitelaw, Mamas A. Mamas, Eric Topol, and Harriette G.C. Van Spall. (2020). Applications of Digital Technology in COVID-19 Pandemic Planning and Response. The Lancet Digital Health 2, e435–e440. http://doi.org/10.1016/S2589-7500(20)30142-4

[85]

Will Americans Be Willing to Install COVID-19 Tracking Apps? - Scientific American Blog Network. https://blogs.scientificamerican.com/observations/will-americans-be-willing-to-install-covid-19-tracking-apps/

[86]

Christopher Wilson and Maria Gabrielsen Jumbert. (2018). The New Informatics of Pandemic Response: Humanitarian Technology, Efficiency, and the Subtle Retreat of National Agency. Journal of International Humanitarian Action, 3(1), 8. http://doi.org/10.1186/s41018-018-0036-5

[87]

Yixuan Zhang, Nurul Suhaimi, Rana Azghandi, Mary Amulya Joseph, Miso Kim, Jacqueline Griffin, and Andrea G. Parker. (2020). Understanding the Use of Crisis Informatics Technology among Older Adults. Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems, Association for Computing Machinery (ACM), 1–13. http://doi.org/10.1145/3313831.3376862

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Pigera Svan Schaik PRenaud KCampbell MManley PEsser P(2025)Privacy and Security in Digital Health Contact-Tracing: A Narrative ReviewApplied Sciences10.3390/app1502086515:2(865)Online publication date: 16-Jan-2025
https://doi.org/10.3390/app15020865
Jo EJeong YPark SEpstein DKim Y(2024)Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642420(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642420
Yoo SGulbransen-Diaz NParker CWang A(2023)Designing Digital COVID-19 Screening: Insights and DeliberationsInternational Journal of Environmental Research and Public Health10.3390/ijerph2005389920:5(3899)Online publication date: 22-Feb-2023
https://doi.org/10.3390/ijerph20053899
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Index Terms

Comparing Perspectives Around Human and Technology Support for Contact Tracing
1. Human-centered computing

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Published In

cover image ACM Conferences

CHI '21: Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems

May 2021

10862 pages

ISBN:9781450380966

DOI:10.1145/3411764

General Chairs:
Yoshifumi Kitamura
Tohoku University, Japan
,
Aaron Quigley
University of New South Wales, Australia
,
Program Chairs:
Katherine Isbister
University of California Santa Cruz, USA
,
Takeo Igarashi
The University of Tokyo, Japan
,
Publications Chairs:
Pernille Bjørn
University of Copenhagen, Denmark
,
Steven Drucker
Microsoft Research, USA

Copyright © 2021 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

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Published: 07 May 2021

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CHI '21

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SIGCHI

CHI '21: CHI Conference on Human Factors in Computing Systems

May 8 - 13, 2021

Yokohama, Japan

Acceptance Rates

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

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Cited By

Pigera Svan Schaik PRenaud KCampbell MManley PEsser P(2025)Privacy and Security in Digital Health Contact-Tracing: A Narrative ReviewApplied Sciences10.3390/app1502086515:2(865)Online publication date: 16-Jan-2025
https://doi.org/10.3390/app15020865
Jo EJeong YPark SEpstein DKim Y(2024)Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health InterventionProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642420(1-21)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642420
Yoo SGulbransen-Diaz NParker CWang A(2023)Designing Digital COVID-19 Screening: Insights and DeliberationsInternational Journal of Environmental Research and Public Health10.3390/ijerph2005389920:5(3899)Online publication date: 22-Feb-2023
https://doi.org/10.3390/ijerph20053899
Lee JLingel JSanchez ALoftis TMauldin A(2023)Mitigating information anxiety in COVID-19 contact tracing for BIPOC CommunitiesInformation, Communication & Society10.1080/1369118X.2023.224655027:8(1551-1567)Online publication date: 16-Aug-2023
https://doi.org/10.1080/1369118X.2023.2246550
Sonntag MMehmann JTeuteberg F(2023)DERIVING TRUST-SUPPORTING DESIGN KNOWLEDGE FOR AI-BASED CHATBOTS IN CUSTOMER SERVICE: A USE CASE FROM THE AUTOMOTIVE INDUSTRYJournal of Organizational Computing and Electronic Commerce10.1080/10919392.2023.227663133:3-4(178-210)Online publication date: 8-Nov-2023
https://doi.org/10.1080/10919392.2023.2276631
Gerlitz EHäring M(2023)Privacy Research on the Pulse of Time: COVID-19 Contact-Tracing AppsHuman Factors in Privacy Research10.1007/978-3-031-28643-8_11(219-235)Online publication date: 10-Mar-2023
https://doi.org/10.1007/978-3-031-28643-8_11
Pepper CReyes-Cruz GPena ADowthwaite LBabbage CWagner HNichele EFischer J(2022)Understanding Trust and Changes in Use After a Year With the NHS COVID-19 Contact Tracing App in the United Kingdom: Longitudinal Mixed Methods StudyJournal of Medical Internet Research10.2196/4055824:10(e40558)Online publication date: 14-Oct-2022
https://doi.org/10.2196/40558
Zhang ZVaghefi I(2022)Continued Use of Contact-Tracing Apps in the United States and the United Kingdom: Insights From a Comparative Study Through the Lens of the Health Belief ModelJMIR Formative Research10.2196/403026:12(e40302)Online publication date: 8-Dec-2022
https://doi.org/10.2196/40302
Nunes NAdamo GRibeiro MR Gouveia BRubio Gouveia ETeixeira PNisi V(2022)Modeling Adoption, Security, and Privacy of COVID-19 Apps: Findings and Recommendations From an Empirical Study Using the Unified Theory of Acceptance and Use of TechnologyJMIR Human Factors10.2196/354349:3(e35434)Online publication date: 14-Sep-2022
https://doi.org/10.2196/35434
Dowthwaite LWagner HBabbage CFischer JBarnard PNichele EPerez Vallejos EClos JPortillo VMcAuley D(2022)The relationship between trust and attitudes towards the COVID-19 digital contact-tracing app in the UKPLOS ONE10.1371/journal.pone.027666117:10(e0276661)Online publication date: 27-Oct-2022
https://doi.org/10.1371/journal.pone.0276661
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