CS-HCI Interactive Health Reading List

This list covers literature that presents a diverse set of perspectives at the intersection of Human-Computer Interaction and Health, drawn from the rich and diverse faculty at the School of Interactive Computing at Georgia Tech. It is aimed at introducing our students exploring research at this intersection to work on personal/public/environmental/global health, undertaking different methods/epistemological approaches, investigating the role of different types of technologies, spanning different research communities, and covering a wide range of health conditions. This list will be reviewed and possibly updated once a year. 

Faculty included: Alex Adams, Rosa Arriaga, Shaowen Bardzell, Michael Best, Munmun De Choudhury, Josiah Hester, Jennifer Kim, Naveena Karusala, Neha Kumar, Cindy Lin, Andrea Parker, Thomas Plötz 

Reading List 

I. Background 

  1. Epstein, Steven. Inclusion: The politics of difference in medical research. University of Chicago Press, 2008. 
  2. Sachin R Pendse, Daniel Nkemelu, Nicola J Bidwell, Sushrut Jadhav, Soumitra Pathare, Munmun De Choudhury, and Neha Kumar. 2022. From Treatment to Healing: Envisioning a Decolonial Digital Mental Health. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 548, 1–23. https://doi.org/10.1145/3491102.3501982 
  3. Holeman, Isaac, and Dianna Kane. "Human-centered design for global health equity." Information technology for development 26, no. 3 (2020): 477-505. https://pubmed.ncbi.nlm.nih.gov/32982007/ 

  4. Veinot, Tiffany C., Hannah Mitchell, and Jessica S. Ancker. "Good intentions are not enough: how informatics interventions can worsen inequality." Journal of the American Medical Informatics Association 25, no. 8 (2018): 1080-1088. https://pubmed.ncbi.nlm.nih.gov/29788380/ 

  5. Unertl, Kim M., Chris L. Schaefbauer, Terrance R. Campbell, Charles Senteio, Katie A. Siek, Suzanne Bakken, and Tiffany C. Veinot. "Integrating community-based participatory research and informatics approaches to improve the engagement and health of underserved populations." Journal of the American Medical Informatics Association 23, no. 1 (2016): 60-73. https://academic.oup.com/jamia/article/23/1/60/2379975 

 

II. CSCW  

  1. Hwajung Hong, Jennifer G. Kim, Gregory D. Abowd, and Rosa I. Arriaga. 2012. Designing a Social Network to Support the Independence of Young Adults with Autism. In Proceedings of the ACM 2012 conference on Computer Supported Cooperative Work (CSCW '12). Association for Computing Machinery, New York, NY, USA, 627–636. https://doi.org/10.1145/2145204.2145300 
  2. Naveena Karusala, David Odhiambo Seeh, Cyrus Mugo, Brandon Guthrie, Megan A Moreno, Grace John-Stewart, Irene Inwani, Richard Anderson, and Keshet Ronen. 2021. “That courage to encourage”: Participation and Aspirations in Chat-based Peer Support for Youth Living with HIV. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 223, 1–17. https://doi.org/10.1145/3411764.3445313  
  3. Stevie Chancellor, Jessica Annette Pater, Trustin Clear, Eric Gilbert, and Munmun De Choudhury. 2016. #thyghgapp: Instagram Content Moderation and Lexical Variation in Pro-Eating Disorder Communities. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW '16). Association for Computing Machinery, New York, NY, USA, 1201–1213. https://doi.org/10.1145/2818048.2819963   
  4. Hayley Evans, Udaya Lakshmi, Hue Watson, Azra Ismail, Andrew M. Sherrill, Neha Kumar, and Rosa I. Arriaga. 2020. Understanding the Care Ecologies of Veterans with PTSD. In Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems (CHI '20). Association for Computing Machinery, New York, NY, USA, 1–15. https://doi.org/10.1145/3313831.3376170  
  5. Udaya Lakshmi and Rosa I. Arriaga. 2022. Warm Solutions: Centering Nurse Contributions in Medical Making. Proc. ACM Hum.-Comput. Interact. 6, CSCW2, Article 351 (November 2022), 25 pages. https://doi.org/10.1145/3555771  

 

III. Ubicomp  

  1. Adams, Alexander T., Ilan Mandel, Yixuan Gao, Bryan W. Heckman, Rajalakshmi Nandakumar, and Tanzeem Choudhury. "Equity-driven sensing system for measuring skin tone–calibrated peripheral blood oxygen saturation (optobeat): development, design, and evaluation study." JMIR biomedical engineering 7, no. 1 (2022): e34934. https://doi.org/10.2196/34934 
  2. Shibo Zhang, Yuqi Zhao, Dzung Tri Nguyen, Runsheng Xu, Sougata Sen, Josiah Hester, and Nabil Alshurafa. 2020. NeckSense: A Multi-Sensor Necklace for Detecting Eating Activities in Free-Living Conditions. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 4, 2, Article 72 (June 2020), 26 pages. https://doi.org/10.1145/3397313  
  3. Alexander Curtiss, Blaine Rothrock, Abu Bakar, Nivedita Arora, Jason Huang, Zachary Englhardt, Aaron-Patrick Empedrado, Chixiang Wang, Saad Ahmed, Yang Zhang, Nabil Alshurafa, and Josiah Hester. 2022. FaceBit: Smart Face Masks Platform. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 5, 4, Article 151 (Dec 2021), 44 pages. https://doi.org/10.1145/3494991  
  4. Mehrab Bin Morshed, Koustuv Saha, Richard Li, Sidney K. D'Mello, Munmun De Choudhury, Gregory D. Abowd, and Thomas Plötz. 2019. Prediction of Mood Instability with Passive Sensing. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 3, 3, Article 75 (September 2019), 21 pages. https://doi.org/10.1145/3351233 
  5. Rui Wang, Fanglin Chen, Zhenyu Chen, Tianxing Li, Gabriella Harari, Stefanie Tignor, Xia Zhou, Dror Ben-Zeev, and Andrew T. Campbell. 2014. StudentLife: assessing mental health, academic performance and behavioral trends of college students using smartphones. In Proceedings of the 2014 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '14). Association for Computing Machinery, New York, NY, USA, 3–14. https://doi.org/10.1145/2632048.2632054 
  6. Hammerla, Nils, James Fisher, Peter Andras, Lynn Rochester, Richard Walker, and Thomas Ploetz. 2015. “PD Disease State Assessment in Naturalistic Environments Using Deep Learning”. Proceedings of the AAAI Conference on Artificial Intelligence 29 (1). https://doi.org/10.1609/aaai.v29i1.9484. 
  7. Thomas Plötz, Nils Y. Hammerla, Agata Rozga, Andrea Reavis, Nathan Call, and Gregory D. Abowd. 2012. Automatic assessment of problem behavior in individuals with developmental disabilities. In Proceedings of the 2012 ACM Conference on Ubiquitous Computing (UbiComp '12). Association for Computing Machinery, New York, NY, USA, 391–400. https://doi.org/10.1145/2370216.2370276 

 

IV. Design  

  1. Kirsten E Bray, Christina Harrington, Andrea G Parker, N'Deye Diakhate, and Jennifer Roberts. 2022. Radical Futures: Supporting Community-Led Design Engagements through an Afrofuturist Speculative Design Toolkit. In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems (CHI '22). Association for Computing Machinery, New York, NY, USA, Article 452, 1–13. https://doi.org/10.1145/3491102.3501945  
  2. Kaely Hall, Parth Arora, Rachel Lowy, and Jennifer G Kim. 2024. Designing for Strengths: Opportunities to Support Neurodiversity in the Workplace. In Proceedings of the 2024 CHI Conference on Human Factors in Computing Systems (CHI '24). Association for Computing Machinery, New York, NY, USA, Article 74, 1–14. https://doi.org/10.1145/3613904.3642424  
  3. Rachel Lowy, Lan Gao, Kaely Hall, and Jennifer G Kim. 2023. Toward Inclusive Mindsets: Design Opportunities to Represent Neurodivergent Work Experiences to Neurotypical Co-Workers in Virtual Reality. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 783, 1–17. https://doi.org/10.1145/3544548.3581399 

 

V. Critical Computing 

  1. Amanda Lazar, Norman Makoto Su, Jeffrey Bardzell, and Shaowen Bardzell. 2019. Parting the Red Sea: Sociotechnical Systems and Lived Experiences of Menopause. In Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI '19). Association for Computing Machinery, New York, NY, USA, Paper 480, 1–16. https://doi.org/10.1145/3290605.3300710 
  2. Norman Makoto Su, Amanda Lazar, Jeffrey Bardzell, and Shaowen Bardzell. 2019. Of Dolls and Men: Anticipating Sexual Intimacy with Robots. ACM Trans. Comput.-Hum. Interact. 26, 3, Article 13 (June 2019), 35 pages. https://doi.org/10.1145/3301422 
  3. Azra Ismail and Neha Kumar. 2021. AI in Global Health: The View from the Front Lines. In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems (CHI '21). Association for Computing Machinery, New York, NY, USA, Article 598, 1–21. https://doi.org/10.1145/3411764.3445130 
  4. Naveena Karusala, Victoria G, Shirley Yan, and Richard Anderson. 2023. Unsettling Care Infrastructures: From the Individual to the Structural in a Digital Maternal and Child Health Intervention. In Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems (CHI '23). Association for Computing Machinery, New York, NY, USA, Article 42, 1–16. https://doi.org/10.1145/3544548.3581553 

 

VI. Health Informatics  

  1. Elizabeth Stowell, Mercedes C. Lyson, Herman Saksono, Reneé C. Wurth, Holly Jimison, Misha Pavel, and Andrea G. Parker. 2018. Designing and Evaluating mHealth Interventions for Vulnerable Populations: A Systematic Review. In Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems (CHI '18). Association for Computing Machinery, New York, NY, USA, Paper 15, 1–17. https://doi.org/10.1145/3173574.3173589  
  2. Daniel A. Epstein, An Ping, James Fogarty, and Sean A. Munson. 2015. A Lived Informatics Model of Personal Informatics. In Proceedings of the 2015 ACM International Joint Conference on Pervasive and Ubiquitous Computing (UbiComp '15). Association for Computing Machinery, New York, NY, USA, 731–742. https://doi.org/10.1145/2750858.2804250  
  3. Herman Saksono and Andrea G. Parker. 2017. Reflective Informatics Through Family Storytelling: Self-discovering Physical Activity Predictors. In Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems (CHI '17). Association for Computing Machinery, New York, NY, USA, 5232–5244. https://doi.org/10.1145/3025453.3025651  

 

 

 

 

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