About

John M. Carroll is the Director of the Human-Computer Interaction Center and a Distinguished Professor of Information Sciences and Technology (IST) at Penn State University. He also serves as the Co-director of the Computer-Supported Collaborative Learning (CSCL) Lab. His roles indicate a leadership position within the HCI community at Penn State, overseeing research and academic activities related to human-computer interaction and collaborative learning technologies. The page lists him among the faculty members of the Center for Human-Computer Interaction, highlighting his distinguished status and directorial responsibilities.

Research topics

• Computer Science
• Human–computer interaction
• Artificial Intelligence
• Multimedia
• Engineering
• Psychology
• Computer Security
• Knowledge management
• Engineering ethics
• Business
• Communication
• Systems engineering
• Medicine
• Internet privacy
• Data science
• Medical emergency
• Management science

Selected publications

• Coproducing Care in Everyday Life

  Synthesis lectures on human-centered informatics · 2026-01-01 · 1 citations

  book-chapter1st authorCorresponding
  PublisherDOI

• Discussion

  Synthesis lectures on human-centered informatics · 2026-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• Twitch Third-Party Developers' Support Seeking and Provision Practices on Discord

  arXiv (Cornell University) · 2026-04-09

  preprintOpen access

  Third-party developers (TPDs) often turn to online communities for support when they can't get immediate responses from the platform. Twitch, as a leading live streaming platform, attracted many TPDs and formed an online support community on Discord. This study explores TPDs' support practices via mixed method (a topic modeling to identify topics related to support seeking and provision first and a follow-up in-depth qualitative analysis with these topics) and found that: (1) TPDs' support-seeking practices around social, technical, and policy matters are highly dependent on Twitch, and this dependence acts as a form of platform labor; (2) TPDs need to switch between Discord and Twitch regarding seeking and provision, exacerbating TPDs' platform labor; (3) TPDs' flexible role practices reflect the community's flourishing on Discord but require roles to bridge the two platforms and transfer informal support seeking to possible formal support from Twitch. We propose implications for effectively managing support seeking and provision between formal and informal spaces to improve the development of TPDs. We also contribute to community support practice and to platform ecology work in CSCW.

  PublisherDOI

• Twitch Third-Party Developers' Support Seeking and Provision Practices on Discord

  arXiv (Cornell University) · 2026-04-09

  articleOpen access

  Third-party developers (TPDs) often turn to online communities for support when they can't get immediate responses from the platform. Twitch, as a leading live streaming platform, attracted many TPDs and formed an online support community on Discord. This study explores TPDs' support practices via mixed method (a topic modeling to identify topics related to support seeking and provision first and a follow-up in-depth qualitative analysis with these topics) and found that: (1) TPDs' support-seeking practices around social, technical, and policy matters are highly dependent on Twitch, and this dependence acts as a form of platform labor; (2) TPDs need to switch between Discord and Twitch regarding seeking and provision, exacerbating TPDs' platform labor; (3) TPDs' flexible role practices reflect the community's flourishing on Discord but require roles to bridge the two platforms and transfer informal support seeking to possible formal support from Twitch. We propose implications for effectively managing support seeking and provision between formal and informal spaces to improve the development of TPDs. We also contribute to community support practice and to platform ecology work in CSCW.

  PublisherOA PDF

• Introduction

  Synthesis lectures on human-centered informatics · 2026-01-01

  book-chapter1st authorCorresponding
  PublisherDOI

• What Happened to Scenario-Based Design in HCI?: A Scoping Review

  2026-04-13 · 1 citations

  article1st authorCorresponding
  PublisherDOI

• Not a baby app: Designing for coproduction of parenting

  2026-04-13

  articleOpen accessSenior author

  Parental collaboration in the postnatal period could either strengthen or undermine the couple relationship. The concept of coproduction offers a promising framework to enhance both collaboration and relationship. In this work, we re-designed baby apps and co-parenting apps with the goal for parents to coproduce parenting. As a process of iterative design, we interviewed six parents to understand the considerations for designing coproductive parenting technology. We identify two merits couples value in coproductive parenting technologies: (1) initiating and enriching mutual care, (2) concrete ways for dynamic collaboration. We derive design considerations emphasizing couple-defined information sharing and representation of contribution that fosters reciprocal care and understanding rather than labor negotiation. We call for parenting technology design to expand attention from caring for the baby to caring for the parents.

  PublisherDOI

• "I'm Constantly Getting Comments Like, 'Oh, You're Blind. You're Like the Only Woman That I Stand a Chance With.'": A Study of Blind TikTokers' Intersectional Experiences of Gender and Sexuality

  2026-04-13 · 1 citations

  articleOpen accessSenior author

  Social media platforms are important venues for identity expression, and the Human-Computer Interaction community has been paying growing attention to how marginalized groups express their identities on these platforms. Joining the emerging literature on intersectional experiences, we study blind TikTokers (“BlindTokers”) who are also women and/or LGBTQ+. Using interview data from 41 participants, we identify their intersectional experiences as mediated by TikTok’s socio-technical affordances. We argue that BlindTokers’ intersectional marginalization is infrastructural: TikTok’s classification and moderation features interact with social norms in ways that push them aside and distort how they are treated on the platform. We use this infrastructure perspective to understand what these experiences are, how they were formed, and how they become harmful. We further recognize participants’ infrastructuring work to address these problems. This study guides future social media design with accessible creator tools, inclusive identity options, and context-aware moderation developed in partnership with communities.

  PublisherDOI

• The Sense of Misinformation Can Harm Local Community: A Case Study of Community Conflict

  Proceedings of the ACM on Human-Computer Interaction · 2026-03-31

  articleOpen accessSenior author

  During community decision-making and civic collaboration, conflicts can escalate when people suspect misinformation. We introduce the concept of sense of misinformation as experiencing someone's language or behavior as misinformation when it is not, that is to say when no falsehood is involved. Misinformation and sense of misinformation feel similar and can have similar social consequences; but sense of misinformation rests upon a mistaken perception of someone else's information as false. Through a case study of a casino proposal in local community, we examine how sense of misinformation developed over time during a contentious civic process through key factors (i.e., miscoordination governance, miscommunication between local government and citizens, and conflict and the breakdown of civic discourse), undermining trust and community democracy. Distinguishing between misinformation and sense of misinformation presents a challenge, but it is important. We contribute a conceptual distinction to the misinformation literature by identifying this distinct phenomenon and discuss ways to help communities recognize and repair such misattributions. Finally, we discuss design approaches for mitigating sense of misinformation.

  PublisherDOI

• The Sense of Misinformation Can Harm Local Community: A Case Study of Community Conflict

  Open MIND · 2026-03-09

  preprintSenior author

  During community decision-making and civic collaboration, conflicts can escalate when people suspect misinformation. We introduce the concept of sense of misinformation as experiencing someone's language or behavior as misinformation when it is not, that is to say when no falsehood is involved. Misinformation and sense of misinformation feel similar and can have similar social consequences; but sense of misinformation rests upon a mistaken perception of someone else's information as false. Through a case study of a casino proposal in local community, we examine how sense of misinformation developed over time during a contentious civic process through key factors (i.e., miscoordination governance, miscommunication between local government and citizens, and conflict and the breakdown of civic discourse), undermining trust and community democracy. Distinguishing between misinformation and sense of misinformation presents a challenge, but it is important. We contribute a conceptual distinction to the misinformation literature by identifying this distinct phenomenon and discuss ways to help communities recognize and repair such misattributions. Finally, we discuss design approaches for mitigating sense of misinformation.

  DOI

Recent grants

• NIH Grant K02HL004297

  NIH · $378k · 2006

• HCC: Small: Socio-technical Issues in Mobile Time Banking

  NSF · $530k · 2012–2016

• Mutually Leveraging Information Technology Literacy and Community Networks

  NSF · $563k · 2003–2008

• SCH: INT: Conversations for Vision: Human-Computer Synergies in Prosthetic Interactions

  NIH · $713k · 2019–2024

• IIS-ALT: Collaborative Case Studies in Problem-Based Learning for CISE

  NSF · $540k · 2007–2012

Frequent coauthors

• Mary Beth Rosson

  Pennsylvania State University

  223 shared

• Reinhold Kliegl

  University of Potsdam

  64 shared

• Donald J. Foss

  University of Houston

  64 shared

• David Rosenbaum

  University Children's Hospital Tübingen

  64 shared

• Hampshire College

  Indiana University

  64 shared

• Brian J. Davidson

  64 shared

• Louis Gomez

  Stevens Institute of Technology

  64 shared

• Linda B. Smith

  Indiana University Bloomington

  64 shared

Labs

• Center for Human-Computer InteractionPI

  To view more information about our lab members, click on their name for their personal website or lab profile. Also, view the Projects page, and see the projects they are associated with. Feel free to contact any individual directly, however, please direct any general questions to Jack Carroll (listed below). Thanks!

Education

• Ph.D., Engineering

  University Carlos III de Madrid

  2012

• M.S.

  Unknown

• B.S.

  Unknown

• Other, Scientist

  IBM Thomas J. Watson Research Center

  1976

Awards & honors

• ACM Joseph T. Rigo Award (1994)
• ACM SIGCHI Academy (2001)
• ACM SIGCHI Lifetime Achievement Award (2002)
• ACM Fellow (2003)
• IEEE Alfred N. Goldsmith Award (2004)