Academia is a difficult line of work to “succeed” in, where success is often defined as being noticed in a noisy field where people work for long hours in obscurity, sometimes feeling like you only surface to get smacked in the face with harsh rejections. Conferences are a rare opportunity to be up on a stage talking about something you did that other people collectively decided the field should be proud of. So it feels extra painful to imagine early career researchers who were looking forward to CHI, hoping for a rare opportunity to share their work and perhaps make themselves known to people they respect, only to have that opportunity taken away by a global pandemic.
I decided that something I could do to help early career researchers would be to spotlight a few papers that I probably would’ve tried to attend and tweet about if I were going to CHI. After skimming the titles, I came up with around 90 papers that piqued my interest. After looking online, I was able to find around half of them online. I’ll keep looking, but in the meantime, here’s a list of papers that I found interesting from a quick glance, and that I hope to get to write about in the coming weeks. If you’re interested in following along, you can keep an eye on future posts here, where, posts about CHI 2020 will be grouped together (although I expect nearly all of my posts for the next few weeks or months will be about CHI…)
(Some of these papers have an obvious through-line; others might have gotten my interest for weird or arbitrary reasons. If you think I missed something, please point it out (contact me) and I’ll throw it on the reading list.)
my (tentative) reading list
- Clinical Documentation as End-User Programming by Adam Rule, Isaac H. Goldstein, Michael F. Chiang, and Michelle R. Hribar
- Let's Talk about Sext: How Adolescents Seek Support and Advice about Their Online Sexual Experiences by Afsaneh Razi, Karla Badillo-Urquiola, and Pamela J. Wisniewski
- Computing Students' Learning Difficulties in HCI Education by Alannah Oleson, Meron Solomon, and Amy J. Ko
- Fairness and Decision-making in Collaborative Shift Scheduling Systems by Alarith Uhde, Nadine Schlicker, Dieter P. Wallach, and Marc Hassenzahl
- Du Bois Wrapped Bar Chart: Visualizing Categorical Data with Disproportionate Values by Alireza Karduni, Ryan Wesslen, Isaac Cho, and Wenwen Dou
- No Explainability without Accountability: An Empirical Study of Explanations and Feedback in Interactive ML by Alison Smith-Renner, Ron Fan, Melissa Birchfield, Tongshuang Wu, Jordan Boyd-Graber, Daniel S. Weld, and Leah Findlater
- A Participatory Simulation of the Accountable Capitalism Act by Bill Tomlinson, M. Six Silberman, Andrew W. Torrance, Kurt Squire, Paramdeep S. Atwal, Ameya N. Mandalik, Sahil Railkar, and Rebecca W. Black
- The Burden of Ending Online Account Sharing by Borke Obada-Obieh, Yue Huang, and Konstantin Beznosov
- Disseminating Research News in HCI: Perceived Hazards, How-To's, and Opportunities for Innovation by C. Estelle Smith, Eduardo Nevarez, and Haiyi Zhu
- User Experiences with Online Status Indicators by Camille Cobb, Lucy Simko, Tadayoshi Kohno, and Alexis Hiniker
- Crafting Critical Heritage Discourses into Interactive Exhibition Design by Caroline Claisse, Daniela Petrelli, Luigina Ciolfi, Nick Dulake, Mark T. Marshall, and Abigail C. Durrant
- The Role of Eye Gaze in Security and Privacy Applications: Survey and Future HCI Research Directions by Christina Katsini, Yasmeen Abdrabou, George E. Raptis, Mohamed Khamis, and Florian Alt
- Twitter A11y: Making Images on Social Media Accessible by Cole Gleason, Amy Pavel, Emma McCamey, Christina Low, Patrick Carrington, Kris Kitani, and Jeffrey P. Bigham
- The Care Work of Access by Cynthia L. Bennett, Daniela K. Rosner, and Alex S. Taylor
- We are the Greatest Showmen: Configuring a Framework for Project-Based Mobile Learning by Dan Richardson and Ahmed Kharrufa
- Celebrating Everyday Success: Improving Engagement and Motivation using a System for Recording Daily Highlights by Daniel Avrahami, Kristin Williams, Matthew L. Lee, Nami Tokunaga, Yulius Tjahjadi, and Jennifer Marlow
- "Nobody Speaks that Fast!" An Empirical Study of Speech Rate in Conversational Agents for People with Vision Impairments by Dasom Choi, Daehyun Kwak, Minji Cho, and Sangsu Lee
- A Human-Centered Review of Algorithms used within the U.S. Child Welfare System by Devansh Saxena, Karla Badillo-Urquiola, Pamela J. Wisniewski, and Shion Guha
- Towards an AI-powered Future that Works for Vocational Workers by Divy Thakkar, Neha Kumar, and Nithya Sambasivan
- What is AI Literacy? Competencies and Design Considerations by Duri Long and Brian Magerko
- "We can learn. Why not?": Designing Technologies to Engender Equity for Home Health Aides by Emily Tseng, Fabian Okeke, Madeline Sterling, and Nicola Dell
- A Human-Centered Evaluation of a Deep Learning System Deployed in Clinics for the Detection of Diabetic Retinopathy by Emma Beede, Elizabeth Baylor, Fred Hersch, Anna Iurchenko, Lauren Wilcox, Paisan Ruamviboonsuk, and Laura M. Vardoulakis
- Is Too Much System Caution Counterproductive? Effects of Varying Sensitivity and Automation Levels in Vehicle Collision Avoidance Systems by Ernestine Fu, Mishel Johns, David A. B. Hyde, Srinath Sibi, Martin Fischer, and David Sirkin
- Political Hashtags & the Lost Art of Democratic Discourse by Eugenia Ha Rim Rho and Melissa Mazmanian
- An Experimental Study of Bias in Platform Worker Ratings: The Role of Performance Quality and Gender by Farnaz Jahanbakhsh, Justin Cranshaw, Scott Counts, Walter S. Lasecki, and Kori Inkpen
- Engaging the Commons in Participatory Sensing: Practice, Problems, and Promise in the Context of Dockless Bikesharing by Ge Gao, Yuling Sun, and Yongle Zhang
- Monsters, Metaphors, and Machine Learning by Graham Dove and Anne-Laure Fayard
- Optimizing for Happiness and Productivity: Modeling Opportune Moments for Transitions and Breaks at Work by Harmanpreet Kaur, Alex C. Williams, Daniel McDuff, Mary Czerwinski, Jaime Teevan, and Shamsi Iqbal
- Interpreting Interpretability: Understanding Data Scientists' Use of Interpretability Tools for Machine Learning by Harmanpreet Kaur, Harsha Nori, Samuel Jenkins, Rich Caruana, Hanna Wallach, and Jennifer Wortman Vaughan
- Is Your Time Well Spent? Reflecting on Knowledge Work More Holistically by Hayley Guillou, Kevin Chow, Thomas Fritz, and Joanna McGrenere
- Designing for Social Interaction in the Age of Excessive Smartphone Use by Hüseyin Uğur Genç and Aykut Coşkun
- Critical Race Theory for HCI by Ihudiya Finda Ogbonnaya-Ogburu, Angela D.R. Smith, Alexandra To, and Kentaro Toyama
- How Mandatory Second Factor Affects the Authentication User Experience by Jacob Abbott and Sameer Patil
- Why Johnny Can't Unsubscribe: Barriers to Stopping Unwanted Email by Jayati Dev, Emilee Rader, and Sameer Patil
- Detecting Gender Stereotypes: Lexicon vs. Supervised Learning Methods by Jenna Cryan, Shiliang Tang, Xinyi Zhang, Miriam Metzger, Haitao Zheng, and Ben Y. Zhao
- Fragile Masculinity: Men, Gender, and Online Harassment by Jennifer D. Rubin, Lindsay Blackwell, and Terri D. Conley
- Digital Juries: A Civics-Oriented Approach to Platform Governance by Jenny Fan and Amy X. Zhang
- Silva: Interactively Assessing Machine Learning Fairness Using Causality by Jing Nathan Yan, Ziwei Gu, Hubert Lin, and Jeffrey M. Rzeszotarski
- Bot or not? User Perceptions of Player Substitution with Deep Player Behavior Models by Johannes Pfau, Jan David Smeddinck, Ioannis Bikas, and Rainer Malaka
- Bug or Feature? Covert Impairments to Human Computer Interaction by John V Monaco
- Creativity on Paid Crowdsourcing Platforms by Jonas Oppenlaender, Kristy Milland, Aku Visuri, Panos Ipeirotis, and Simo Hosio
- Emergent Self-Regulation Practices in Technology and Social Media Use of Individuals Living with Depression by Jordan Eschler, Eleanor R. Burgess, Madhu Reddy, and David C. Mohr
- Crowdsourced Detection of Emotionally Manipulative Language by Jordan S. Huffaker, Jonathan K. Kummerfeld, Walter S. Lasecki, and Mark S. Ackerman
- Researching AI Legibility through Design by Joseph Lindley, Haider Akmal, Franziska Pillling, and Paul Coulton
- Bureaucracy as a Lens for Analyzing and Designing Algorithmic Systems by Juho Pääkkönen, Matti Nelimarkka, Jesse Haapoja, and Airi Lampinen
- Community Collectives: Low-tech Social Support for Digitally-Engaged Entrepreneurship by Julie Hui, Nefer Ra Barber, Wendy Casey, Suzanne Cleage, Danny C. Dolley, Frances Worthy, Kentaro Toyama, and Tawanna R. Dillahunt
- Exploring The Future of Data-Driven Product Design by Katerina Gorkovenko, Daniel J. Burnett, James K. Thorp, Daniel Richards, and Dave Murray-Rust
- Mental Models of AI Agents in a Cooperative Game Setting by Katy Ilonka Gero, Zahra Ashktorab, Casey Dugan, Qian Pan, James Johnson, Werner Geyer, Maria Ruiz, Sarah Miller, David R. Millen, Murray Campbell, Sadhana Kumaravel, and Wei Zhang
- Do I Look Like a Criminal? Examining how Race Presentation Impacts Human Judgement of Recidivism by Keri Mallari, Kori Inkpen, Paul Johns, Sarah Tan, Divya Ramesh, and Ece Kamar
- "On Finsta, I can say 'Hail Satan'": Being Authentic but Disagreeable on Instagram by Lee Taber and Steve Whittaker
- Attenuated Access: Accounting for Startup, Maintenance, and Affective Costs in Resource-Constrained Communities by Lucy Pei and Roderic Crooks
- Culture in Action: Unpacking Capacities to Inform Assets-Based Design by Marisol Wong-Villacres, Carl DiSalvo, Neha Kumar, and Betsy DiSalvo
- Explore, Create, Annotate: Designing Digital Drawing Tools with Visually Impaired People by Maulishree Pandey, Hariharan Subramonyam, Brooke Sasia, Steve Oney, and Sile O'Modhrain
- Self-Interruptions of Non-Driving Related Tasks in Automated Vehicles: Mobile vs Head-Up Display by Michael A. Gerber, Ronald Schroeter, Li Xiaomeng, and Mohammed Mamdouh Zakaria Elhenawy
- Dark Patterns after the GDPR: Scraping Consent Pop-ups and Demonstrating their Influence by Midas Nouwens, Ilaria Liccardi, Michael Veale, David Karger, and Lalana Kagal
- Expert Discussions Improve Comprehension of Difficult Cases in Medical Image Assessment by Mike Schaekermann, Carrie J. Cai, Abigail E. Huang, and Rory Sayres
- Ambiguity-aware AI Assistants for Medical Data Analysis by Mike Schaekermann, Graeme Beaton, Elaheh Sanoubari, Andrew Lim, Kate Larson, and Edith Law
- Move Your Body: Engaging Museum Visitors with Human-Data Interaction by Milka Trajkova, A'aeshah Alhakamy, Francesco Cafaro, Rashmi Mallappa, and Sreekanth R. Kankara
- Autonomous Vehicle-Cyclist Interaction: Peril and Promise by Ming Hou, Karthik Mahadevan, Sowmya Somanath, Ehud Sharlin, and Lora Oehlberg
- Social Comparison and Facebook: Feedback, Positivity, and Opportunities for Comparison by Moira Burke, Justin Cheng, and Bethany de Gant
- SleepBandits: Guided Flexible Self-Experiments for Sleep by Nediyana Daskalova, Jina Yoon, Yibing Wang, Cintia Araujo, Guillermo Beltran, Nicole Nugent, John McGeary, Joseph Jay Williams, and Jeff Huang
- Civic Empowerment through Digitalisation: the Case of Greenlandic Women by Nicola Wendt, Rikke Bjerg Jensen, and Lizzie Coles-Kemp
- The Politics of Privacy Theories: Moving from Norms to Vulnerabilities by Nora McDonald and Andrea Forte
- Of Dolls and Men: Anticipating Sexual Intimacy with Robots by Norman Makoto Su, Amanda Lazar, Jeffrey Bardzell, and Shaowen Bardzell
- Designing Trans Technology: Defining Challenges and Envisioning Community-Centered Solutions by Oliver L. Haimson, Dykee Gorrell, Denny L. Starks, and Zu Weinger
- On Being Iterated: The Affective Demands of Design Participation by Paul Dourish, Christopher Lawrence, Tuck Wah Leong, and Greg Wadley
- Private Responses for Public Sharing: Understanding Self-Presentation and Relational Maintenance via Stories in Social Media by Penny Triệu and Nancy K. Baym
- Questioning the AI: Informing Design Practices for Explainable AI User Experiences by Q. Vera Liao, Daniel Gruen, and Sarah Miller
- Re-examining Whether, Why, and How Human-AI Interaction Is Uniquely Difficult to Design by Qian Yang, Aaron Steinfeld, Carolyn Rosé, and John Zimmerman
- "Energy is a Finite Resource": Designing Technology to Support Individuals across Fluctuating Symptoms of Depression by Rachel Kornfield, Renwen Zhang, Jennifer Nicholas, Stephen M. Schueller, Scott A. Cambo, David C. Mohr, and Madhu Reddy
- Infrastructural Speculations: Tactics for Designing and Interrogating Lifeworlds by Richmond Y. Wong, Vera Khovanskaya, Sarah E. Fox, Nick Merrill, and Phoebe Sengers
- When the Civic Turn turns Digital: Designing Safe and Secure Refugee Resettlement by Rikke Bjerg Jensen, Lizzie Coles-Kemp, and Reem Talhouk
- User's Role in Platform Infrastructuralization: WeChat as an Exemplar by Rui Zhou and Betsy DiSalvo
- Factors Influencing Perceived Fairness in Algorithmic Decision-Making: Algorithm Outcomes, Development Procedures, and Individual Differences by Ruotong Wang, F. Maxwell Harper, and Haiyi Zhu
- How to Trick AI: Users' Strategies for Protecting Themselves from Automatic Personality Assessment by Sarah Theres Völkel, Renate Haeuslschmid, Anna Werner, Heinrich Hussmann, and Andreas Butz
- Studying the Effects of Cognitive Biases in Evaluation of Conversational Agents by Sashank Santhanam, Alireza Karduni, and Samira Shaikh
- Random, Messy, Funny, Raw: Finstas as Intimate Reconfigurations of Social Media by Sijia Xiao, Danaë Metaxa, Joon Sung Park, Karrie Karahalios, and Niloufar Salehi
- How Well Do People Report Time Spent on Facebook? An Evaluation of Established Survey Questions with Recommendations by Sindhu Kiranmai Ernala, Moira Burke, Alex Leavitt, and Nicole B. Ellison
- What a Driver Wants: User Preferences in Semi-Autonomous Vehicle Decision-Making by So Yeon Park, Dylan James Moore, and David Sirkin
- A Longitudinal Video Study on Communicating Status and Intent for Self-Driving Vehicle Pedestrian Interaction by Stefanie M. Faas, Andrea C. Kao, and Martin Baumann
- "I Just Want to Hack Myself to Not Get Distracted": Evaluating Design Interventions for Self-Control on Facebook by Ulrik Lyngs, Kai Lukoff, Petr Slovák, William Seymour, Helena Webb, Marina Jirotka, Jun Zhao, Max Van Kleek, and Nigel Shadbolt
- Bottom-Up Organizing with Tools from On High: Understanding the Data Practices of Labor Organizers by Vera Khovanskaya, Phoebe Sengers, and Lynn Dombrowski
- "Why is 'Chicago' deceptive?" Towards Building Model-Driven Tutorials for Humans by Vivian Lai, Han Liu, and Chenhao Tan
- Addressing Anonymous Abuses: Measuring the Effects of Technical Mechanisms on Reported User Behaviors by Wajeeha Ahmad and Ilaria Liccardi
- Race, Gender and Beauty: The Effect of Information Provision on Online Hiring Biases by Weiwen Leung, Zheng Zhang, Daviti Jibuti, Jinhao Zhao, Maximilian Klein, Casey Pierce, Lionel Robert, and Haiyi Zhu
- Characterizing Twitter Users Who Engage in Adversarial Interactions against Political Candidates by Yiqing Hua, Mor Naaman, and Thomas Ristenpart
- Exploring the Effects of Technological Writing Assistance for Support Providers in Online Mental Health Community by Zhenhui Peng, Qingyu Guo, Ka Wing Tsang, and Xiaojuan Ma
- Will the Crowd Game the Algorithm? Using Layperson Judgments to Combat Misinformation on Social Media by Downranking Distrusted Sources by Ziv Epstein, Gordon Pennycook, and David Rand
(When I started writing this post (a week ago, yikes), CHI was still tentatively going to happen, but I had announced I wouldn’t be attending. Now all of that is kind of behind us, because CHI has been officially canceled due to the global pandemic that (I assume) I won’t need to explain here. Also, Merrie Morris has apparently started doing something similar, and anything Merrie Morris is doing seems like a good bandwagon to join)