photo of Jane smiling
Upcoming conference travels:
CHI 2024
CSCW 2024

As a Human-Computer Interaction researcher, I design and build social computing systems (e.g., social media, workplace software) that are grounded in affirmative consent, an idea that a person or a system must ask for, and earn, enthusiastic approval before interacting with an individual. Existing social platforms enable or exacerbate two classes of problems that negatively impact society: 1) interpersonal harm people cause one another, such as online harassment, and 2) institutional exploitation of users, such as companies’ invasive data tracking of users. Both are closely related to people’s consent (e.g., "Do I decide to interact with this person online?", "Do I opt into tracking for targeted ads?"). Thus, consent is an important concept to define for software design.

My research defines theoretical properties of affirmative consent (affirmative consent is voluntary, informed, revertible, specific, and unburdensome) and provides design ideas on how to encode them into software (CHI 2021). Based on the ideas, I build systems to ensure people's consent boundaries are protected during interactions—especially in contexts where individuals need to make high-risk decisions, such as navigating abuse of power in workplace settings (CHI 2024 LBW, ongoing work). And because there is a power imbalance between tech companies and users, I design interfaces to help users make less burdensome data-related consent decisions (CHI 2023). I am also interested in studying how users perceive social media’s business models, which are a basis for companies’ power (ongoing work). I have also led or collaborated on other research that are mostly about improving social media from various angles or finding better ways to build software—please check out my CV for other publications.

I am a Ph.D. candidate at the University of Michigan School of Information and Department of Computer Science & Engineering, where I am advised by Professor Kentaro Toyama. I am a Meta Research PhD Fellow (selected on my fourth try) and a University of Michigan Barbour Scholar, and was also named an EECS Rising Star. My PhD research gave practical help to founders of new social media, and my internship research impacted Meta's privacy strategy. More recently, I co-wrote a grant proposal that led to winning an unrestricted gift from Google.



  • Below is a list of recent updates, which admittedly focuses on good news. I think it's important to share bad news as well, to normalize vulnerabilities, rejections, and failures. While it's far from perfect, you can glimpse more of my honest thoughts on this page.
  • 03/01/2024: Excited that a panel proposal and a Late-Breaking Work—both related to improving advising relationships between PhD students and faculty—are accepted to CHI 2024! The panel is with Kentaro Toyama, Himanshu Zade, Pamela Wisniewski, and Steve Oney, and the LBW is with Kentaro. A big thank you to Kentaro for mentoring and collaborating with me on both! Please come to the hybrid panel (updates coming soon) and find me at the poster session (I'm attending in-person)! 😊
  • 02/24/2024: This week, I visited Hyejin Youn's group at Northwestern's Kellogg School of Management to give a presentation. The visit experience was thought-provoking, especially as I switched from business to HCI/Information/CS. I genuinely enjoyed meeting researchers in the group—many thanks for the invite, Professor Youn!
  • See all updates.


Selected First Author Publications

Full Papers
Less is Not More: Improving Findability and Actionability of Privacy Controls for Online Behavioral Advertising
Jane Im, Ruiyi Wang, Weikun Lyu, Nick Cook, Hana Habib, Lorrie Cranor, Nikola Banovic, Florian Schaub
CHI 2023
Covered by The Wall Street Journal (The article is behind a paywall, but UMSI also wrote about it here.)
Invited by FTC to present to policymakers at PrivacyCon 2024

Yes: Affirmative Consent as a Theoretical Framework for Understanding and Imagining Social Platforms
Jane Im, Jill Dimond, Melody Berton, Una Lee, Katherine Mustelier, Mark Ackerman, Eric Gilbert
CHI 2021
Best Paper Honorable Mention
I want to give a shoutout to the incredible Una Lee. This work builds on and could not have existed without Una's impactful work on consentful technologies. Una introduced the term "consentful technology"—which inspired many people, including me.

Posters
Understanding How to Design a Social Computing System That Helps PhD Students Collectively Navigate Mistreatment or Abuse in Advising Relationships
Jane Im, Kentaro Toyama
CHI 2024 Extended Abstract
pdf - talk

Organized Panel Proposals
Improving Advising Relationships Between PhD Students and Faculty in Human-Computer Interaction
Jane Im, Himanshu Zade, Steve Oney, Pamela Wisniewski, Kentaro Toyama
CHI 2024 Extended Abstract

See all publications/projects



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