Crowd Intelligence Lab at Virginia Tech

Publications

Peer-reviewed conference papers, journal articles, posters, demos, and other work from the Crowd Intelligence Lab, ordered by year. Titles link to the publisher’s version or an open-access PDF.

2026

  1. Matthew Wilchek, Minh Nguyen, Yingjie Wang, Kurt Luther, and Feras A. Batarseh. In press. PerceptiSync: Trustworthy object detection using crowds-in-the-loop for cyber-physical systems. To appear in ACM Transactions on Cyber-Physical Systems, 25 pages.
  2. Liling Yuan, Vikram Mohanty, and Kurt Luther. 2026. SleuthTalk: Supporting historical photo identification with private workspaces for collective sensemaking and deliberation. In Proceedings of the 14th ACM Collective Intelligence Conference (CI ’26), September 27–30, 2026, Alexandria, Va., USA. ACM, New York, NY, USA, 1–11.
  3. Matthew Wilchek, Sally Dickinson, Kurt Luther, and Feras A. Batarseh. 2026. The influence of distributed AI in trust and collaboration for search-and-rescue teams. In Proceedings of the 44th ACM Conference on Human Factors in Computing Systems (CHI ’26), April 13–17, 2026, Barcelona, Spain. ACM, New York, NY, USA, Article 725, 1–20.
  4. Anirban Mukhopadhyay, Jin-Hee Cho, and Kurt Luther. 2026. Homefront Helper: Exploring the self-disclosure risks of military family members. CSCW 2026 Workshop on Where Does Privacy Research Go From Here? Navigating the Challenges and Paths Forward, Salt Lake City, Utah, USA. 4 pages.
  5. Anirban Mukhopadhyay, Kelechi Eze, and Kurt Luther. 2026. OSINT Research Platform as accountability infrastructure for collaborative sensemaking. CSCW 2026 Workshop on Contribution, Originality, and Accountability in Agent-Mediated Collaboration, Salt Lake City, Utah, USA. 3 pages.
  6. Sydney Danielle Johns and Kurt Luther. 2026. “You weren’t supposed to see that”: Understanding privacy risks in mixed reality. 2026 Virginia Tech Workshop on the Future of HCI, Blacksburg, Va., USA. 7 pages.
  7. Anirban Mukhopadhyay and Kurt Luther. 2026. Towards supporting mediators in human–agent collaboration. CHI 2026 Workshop on Human–Agent Collaboration, Barcelona, Spain. 5 pages.
  8. Matthew Wilchek, Kurt Luther, and Feras A. Batarseh. 2026. From explainable AI to human-centered system reliability: Quantifying and visualizing calibrated trust in mission-critical XR. CHI 2026 Workshop on XR for Challenging Environments: Enabling Human Performance and Agency under Stress, Barcelona, Spain. 6 pages.
  9. Anirban Mukhopadhyay, Kelechi Eze, Jin-Hee Cho, and Kurt Luther. 2026. Homefront Helper: A context-aware system for identifying OPSEC risks in military family social media. Commonwealth Cyber Initiative Symposium (CCI 2026), Richmond, Va., USA. (Demo)
  10. Fei Shan and Kurt Luther. 2026. Supporting personal investigative sensemaking with an emotion-adaptive AI assistant. ACM Conference on Human-AI Complementarity and Alignment (HCOMP 2026), Alexandria, Va., USA. (Poster)
  11. Kirk Knutsen and Kurt Luther. 2026. GeoVision: Designing a complementary human-AI workflow for cue-based geolocation. ACM Conference on Human-AI Complementarity and Alignment (HCOMP 2026), Alexandria, Va., USA. (Poster)
  12. Kurt Luther. 2026. Finding the Identities of a Mystery Civil War Couple. Military Images 44, 1 (Winter 2026), 8–11.
  13. Kurt Luther. 2026. Legends and Lies in Female Soldier Portraits. Military Images 44, 2 (Spring 2026), 8–9.
  14. Kurt Luther and Bryan Cheeseboro. 2026. A Trio of USCT Group Portraits Identified. Military Images 44, 3 (Summer 2026), 8–13.
  15. Stephen Berry and Kurt Luther. 2026. Real-Life Accounts on the Research Trail: Prince Rivers and the Post-Civil War South Carolina Legislature. Military Images 44, 4 (Autumn 2026), 8–9.

2025

  1. Jill M. Derwin, Valerie A. Thomas, Randolph H. Wynne, Karen G. Schleeweis, John W. Coulston, S. Seth Peery, Kurt Luther, Greg C. Liknes, Stacie Bender, and Susmita Sen. 2025. Factors influencing the consistency in crowdsourced interpretations of aerial photographs to measure tree canopy cover. Ecological Informatics 91, Article 103300 (November 2025), 17 pages.
  2. Sara Alsalamah, Shada AlSalamah, Hessah A. Alsalamah, Haytham A. Sheera, Kurt Luther, and Chang-Tien Lu. 2025. Virtual Healthcare Bot (VHC-Bot): A person-centered AI chatbot for transforming patient care and healthcare workforce dynamics. Network Modeling Analysis in Health Informatics and Bioinformatics 14, Article 48 (June 2025), 21 pages.
  3. Fei Shan and Kurt Luther. 2025. Reexamining technological support for genealogy research, collaboration, and education. Proceedings of the ACM on Human-Computer Interaction 9, 2, Article CSCW155 (April 2025), 33 pages.
  4. Matthew Wilchek, Kurt Luther, and Feras A. Batarseh. 2025. Ajna: A wearable shared perception system for extreme sensemaking. ACM Transactions on Interactive Intelligent Systems 15, 1, Article 1 (March 2025), 29 pages.
  5. Vikram Mohanty, Jude Lim, and Kurt Luther. 2025. What lies beneath? Exploring the impact of underlying AI model updates in AI-infused systems. In Proceedings of the 43rd ACM Conference on Human Factors in Computing Systems (CHI ’25), April 26–May 1, 2025, Yokohama, Japan. ACM, New York, NY, USA, Article 539, 1–21.
  6. Anirban Mukhopadhyay and Kurt Luther. 2025. OSINT Clinic: Co-designing AI-augmented collaborative OSINT investigations for vulnerability assessment. In Proceedings of the 43rd ACM Conference on Human Factors in Computing Systems (CHI ’25), April 26–May 1, 2025, Yokohama, Japan. ACM, New York, NY, USA, Article 868, 1–22.
  7. Matthew Wilchek, Linhan Wang, Sally Dickinson, Erica Feuerbacher, Kurt Luther, and Feras A. Batarseh. 2025. KHAIT: K-9 handler artificial intelligence teaming for collaborative sensemaking. In Proceedings of the 30th ACM Conference on Intelligent User Interfaces (IUI ’25), March 24–27, 2025, Cagliari, Italy. ACM, New York, NY, USA, 925–937.
  8. Anirban Mukhopadhyay, Kurt Luther, Kevin Salubre, Shashank Mehrotra, Hifza Javed, Teruhisa Misu, and Kumar Akash. 2025. Towards understanding the impact of generative AI agent roles in collaborative problem-solving tasks. CSCW 2025 Workshop on Augmenting Collaborative Problem-Solving: Exploring the Design and Use of GenAI for Groupwork, Bergen, Norway. 6 pages.
  9. Fei Shan and Kurt Luther. 2025. Emotionally intelligent generative AI for genealogy research and collaboration. CSCW 2025 Workshop on Augmenting Collaborative Problem-Solving: Exploring the Design and Use of GenAI for Groupwork, Bergen, Norway. 4 pages.
  10. Anirban Mukhopadhyay and Kurt Luther. 2025. Tailoring generative AI to augment creative leadership in Capture-the-Flag development. CHI 2025 Workshop on Tools for Thought: Research and Design for Understanding, Protecting, and Augmenting Human Cognition with Generative AI, Yokohama, Japan. 5 pages.
  11. Kurt Luther. 2025. Identifying a USCT Officer Connected to Two Pioneering Civil War Women. Military Images 43, 1 (Winter 2025), 8–9.
  12. Kurt Luther. 2025. Applying the "Trinity" to ID Some Faces in a 557-Image Album in the National Archives. Military Images 43, 2 (Spring 2025), 8–11.
  13. Kurt Luther. 2025. Mistaken Identity and Fame Fixation. Military Images 43, 3 (Summer 2025), 8–11.
  14. Kurt Luther. 2025. A Guide to Exploring Photo Sleuthing and Generative AI. Military Images 43, 4 (Autumn 2025), 8–11.

2024

  1. Anirban Mukhopadhyay, Sukrit Venkatagiri, and Kurt Luther. 2024. OSINT Research Studios: A flexible crowdsourcing framework to scale up open source intelligence investigations. Proceedings of the ACM on Human-Computer Interaction 8, CSCW1, Article 105 (April 2024), 38 pages.
  2. Marx Boyuan Wang, Md Momen Bhuiyan, Eugenia Ha Rim Rho, Kurt Luther, and Sang Won Lee. 2024. Understanding the relationship between user identity and self-expression through animated GIFs on social media. Proceedings of the ACM on Human-Computer Interaction 8, CSCW1, Article 192 (April 2024), 30 pages.
  3. Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, and Naren Ramakrishnan. 2024. Redistrict: Online public deliberation support that connects and rebuilds inclusive communities. Proceedings of the ACM on Human-Computer Interaction 8, CSCW1, Article 116 (April 2024), 23 pages.
  4. Mariam ALMutairi, Lulwah AlKulaib, Shengkun Wang, Zhiqian Chen, Youssif ALMutairi, Thamer M. Alenazi, Kurt Luther, and Chang-Tien Lu. 2024. FHIRViz: Multi-agent platform for FHIR visualization to advance healthcare analytics. In Proceedings of the 15th ACM International Conference on Bioinformatics, Computational Biology, and Health Informatics (BCB ’24), November 22–25, 2024, Shenzhen, China. ACM, New York, NY, USA, Article 38, 1–7.
  5. Matthew Wilchek, Linhan Wang, Feras A. Batarseh, and Kurt Luther. 2024. KHAIT: K-9 handler artificial intelligence teaming for collaborative sensemaking. CHI 2024 Workshop on Sensemaking: What Is It Today?, Honolulu, Hawaii, USA. 6 pages.
  6. Kurt Luther. 2024. Case Study: Backdrop Explorer. Military Images 42, 1 (Winter 2024), 8–11.
  7. Kurt Luther. 2024. Photo Sleuthing Some Virginia Tech Cadet Portraits. Military Images 42, 2 (Spring 2024), 8–11.
  8. Kurt Luther. 2024. Oscar F. Douglas: The Photographer Behind the Iconic USCT Drummer Boy. Military Images 42, 3 (Summer 2024), 8–11.
  9. Kurt Luther. 2024. How to Discover Soldier Photos from a Specific Civil War Battle. Military Images 42, 4 (Autumn 2024), 8–11.

2023

  1. Vikram Mohanty and Kurt Luther. 2023. DoubleCheck: Designing community-based assessability for historical person identification. ACM Journal on Computing and Cultural Heritage 16, 4, Article 79 (December 2023), 27 pages.
  2. Matthew Wilchek, Will Hanley, Jude Lim, Kurt Luther, and Feras Batarseh. 2023. Human-in-the-loop for computer vision assurance: A survey. Engineering Applications of Artificial Intelligence 123, Part B, Article 106376 (August 2023), 15 pages.
  3. Jude Lim, Vikram Mohanty, Terryl Dodson, and Kurt Luther. 2023. BackTrace: A human-AI collaborative approach to discovering studio backdrops in historical photographs. In Proceedings of the 11th AAAI Conference on Human Computation and Crowdsourcing (HCOMP ’23), November 6–9, 2023, Delft, Netherlands. AAAI, Washington, DC, USA, 91–102.
  4. Vikram Mohanty and Kurt Luther. 2023. Photo Steward: A deliberative collective intelligence workflow for validating historical archives. In Proceedings of the 11th ACM Collective Intelligence Conference (CI ’23), November 6–9, 2023, Delft, Netherlands. ACM, New York, NY, USA, 34–52.
  5. Sukrit Venkatagiri, Anirban Mukhopadhyay, David Hicks, Aaron Brantly, and Kurt Luther. 2023. CoSINT: Designing a collaborative capture the flag competition to investigate misinformation. In Proceedings of the 18th ACM Designing Interactive Systems Conference (DIS ’23), July 10–14, 2023, Pittsburgh, PA, USA. ACM, New York, NY, USA, 2551–2572.
  6. Jacob Thebault-Spieker, Sukrit Venkatagiri, Naomi Mine, and Kurt Luther. 2023. Diverse perspectives can mitigate political bias in crowdsourced content moderation. In Proceedings of the 6th ACM Conference on Fairness, Accountability, and Transparency (FAccT ’23), June 12–15, 2023, Chicago, IL, USA. ACM, New York, NY, USA, 1280–1291.
  7. Andreea Sistrunk, Nathan Self, Subhodip Biswas, James A. Egenrieder, Kurt Luther, Adriana Glenn, and Naren Ramakrishnan. 2023. Redrawing public school boundaries: An intersection of geography, education policy, and computer science. In Proceedings of the 21st European Conference on Computer-Supported Cooperative Work (ECSCW ’23), June 5–9, 2023, Trondheim, Norway. EUSSET, Siegen, Germany, 21 pages.
  8. Tianjiao Yu, Sukrit Venkatagiri, Ismini Lourentzou, and Kurt Luther. 2023. Sedition Hunters: A quantitative study of the crowdsourced investigation into the 2021 U.S. Capitol attack. In Proceedings of the 32nd ACM Web Conference (WWW ’23), April 30–May 4, 2023, Austin, TX, USA. ACM, New York, NY, USA, 3849–3858.
  9. Fei Shan and Kurt Luther. 2023. Community-driven AI support for genealogy research. CSCW 2023 Workshop on Community-Driven AI, virtual event. 3 pages.
  10. Anirban Mukhopadhyay, Sukrit Venkatagiri, and Kurt Luther. 2023. Developing collaboration and competition skills in a crowd of student OSINT investigators. CSCW 2023 Workshop on Supporting Workers in Developing Effective Collaboration Skills for Complex Work, Minneapolis, Minn., USA. 6 pages.
  11. Vikram Mohanty, Jude Lim, Terryl Dodson, and Kurt Luther. 2023. Behind the canvas: A human-AI workflow for tracing 19th-century photographers and studio backdrops. AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2023), Delft, Netherlands. (Poster, Demo) Best Poster/Demo Award
  12. Andreea Sistrunk, Nathan Self, Subhodip Biswas, Kurt Luther, Nervo Verdezoto, and Naren Ramakrishnan. 2023. Redistrict: Designing a self-serve interactive boundary optimization system. ACM Conference on Designing Interactive Systems (DIS 2023), Pittsburgh, Pa., USA. (Demo)
  13. Kurt Luther. 2023. Traveling Back in Time to Resolve an ID Conflict. Military Images 41, 1 (Winter 2023), 8–11.
  14. Kurt Luther. 2023. Exploring a Civil War Connection to Yellowstone National Park. Military Images 41, 2 (Spring 2023), 8–11.
  15. Kurt Luther. 2023. Introducing Backdrop Explorer, a New Civil War Photo Sleuth Feature. Military Images 41, 3 (Summer 2023), 8–11.
  16. Kurt Luther. 2023. Finding the Face of Fort Craig’s Namesake. Military Images 41, 4 (Autumn 2023), 8–11.

2022

  1. Aditya Bharadwaj, David Gwizdala, Yoonjin Kim, Kurt Luther, and T. M. Murali. 2022. Flud: A hybrid crowd-algorithm approach for visualizing biological networks. ACM Transactions on Computer-Human Interaction 29, 1, Article 8 (February 2022), 53 pages.
  2. Manisha Kusuma, Vikram Mohanty, Marx Wang, and Kurt Luther. 2022. Civil War Twin: Exploring ethical challenges in designing an educational face recognition application. In Proceedings of the 5th AAAI/ACM Conference on Artificial Intelligence, Ethics, and Society (AIES ’22), August 1–3, 2022, Oxford, UK. ACM, New York, NY, USA, 369–384.
  3. Yasmine Belghith, Sukrit Venkatagiri, and Kurt Luther. 2022. Compete, collaborate, investigate: Exploring the social structures of open source intelligence investigations. In Proceedings of the 40th ACM Conference on Human Factors in Computing Systems (CHI ’22), April 30–May 5, 2022, New Orleans, LA, USA. ACM, New York, NY, USA, Article 129, 1–18.
  4. Anirban Mukhopadhyay, Sukrit Venkatagiri, and Kurt Luther. 2022. Towards designing a flexible expert-led crowdsourcing framework for investigating misinformation. CHI 2022 Workshop on Designing Credibility Tools to Combat Mis/Disinformation: A Human-Centered Approach, New Orleans, La., USA. 2 pages.
  5. Andreea Sistrunk, Subhodip Biswas, Nathan Self, Kurt Luther, and Naren Ramakrishnan. 2022. Redistricting practices in public schools: Social progress or necessity? European Conference on Computer-Supported Cooperative Work (ECSCW 2022), Coimbra, Portugal. (Poster)
  6. Kurt Luther. 2022. Reidentifying a Pennsylvania Cavalry Company. Military Images 40, 1 (Winter 2022), 8–11.
  7. Kurt Luther. 2022. Making Civil War Photo Sleuth Identifications More Trustworthy. Military Images 40, 2 (Spring 2022), 8–11.
  8. Kurt Luther. 2022. A New Way to Remember a Civil War Veteran Who Lost His Life Trying to Save History. Military Images 40, 3 (Summer 2022), 10–13.
  9. Kurt Luther. 2022. Researching a Grouping of USCT Officer Photos. Military Images 40, 4 (Autumn 2022), 8–11.

2021

  1. Sukrit Venkatagiri, Aakash Gautam, and Kurt Luther. 2021. CrowdSolve: Managing tensions in an expert-led crowdsourced investigation. Proceedings of the ACM on Human-Computer Interaction 5, CSCW1, Article 118 (April 2021), 30 pages.
  2. Sukrit Venkatagiri, Vikram Mohanty, Tianjiao Yu, and Kurt Luther. 2021. Sedition Hunters: Countering extremism through collective action. CSCW 2021 Workshop on Addressing Challenges and Opportunities in Online Extremism Research: An Interdisciplinary Perspective, virtual event. 6 pages.
  3. Vikram Mohanty and Kurt Luther. 2021. Double-checking history: Designing assessable systems for historical photo identification. AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2021), virtual event. (Demo)
  4. Liling Yuan, Vikram Mohanty, and Kurt Luther. 2021. SleuthTalk: Identifying historical photos with intelligent shortlists, private collaboration, and structured feedback. ACM Conference on Computer Supported Cooperative Work and Social Computing (CSCW 2021), virtual event. (Demo)
  5. Mia Ridge, Samantha Blickhan, Meghan Ferriter, Austin Mast, Ben Brumfield, Brendon Wilkins, Daria Cybulska, Denise Burgher, Jim Casey, Kurt Luther, Michael Haley Goldman, Nick White, Pip Willcox, Sara Carlstead Brumfield, Sonya J. Coleman, and Ylva Berglund Prytz. 2021. The Collective Wisdom Handbook: Perspectives on Crowdsourcing in Cultural Heritage. PubPub, 444 pages.
  6. Kurt Luther. 2021. Identifying an Officer Pictured in a Library of Congress Negative. Military Images 39, 1 (Winter 2021), 8–9.
  7. Kurt Luther. 2021. Investigating the Iconic Portraits of a USCT Drummer Boy. Military Images 39, 2 (Spring 2021), 8–11.
  8. Kurt Luther. 2021. Hampton’s Battery at Gettysburg and Puerto Rico. Military Images 39, 3 (Summer 2021), 8–11.
  9. Kurt Luther. 2021. Civil War Photo Sleuth Goes Social. Military Images 39, 4 (Autumn 2021), 8–11.

2020

  1. Vikram Mohanty, David Thames, Sneha Mehta, and Kurt Luther. 2020. Photo Sleuth: Identifying historical portraits with face recognition and crowdsourced human expertise. ACM Transactions on Interactive Intelligent Systems 10, 4, Article 33 (December 2020), 36 pages. (Invited submission)
  2. Tianyi Li, Yasmine Belghith, Chris North, and Kurt Luther. 2020. CrowdTrace: Visualizing provenance in distributed sensemaking. In Proceedings of the 31st IEEE Visualization Conference (VIS ’20), October 25–30, 2020, Salt Lake City, UT, USA. IEEE, Los Alamitos, CA, USA, 191–195.
  3. Vikram Mohanty, Marx Wang, Manisha Kusuma, David Thames, and Kurt Luther. 2020. Find your twin in history: Exploring ethical design challenges in facial recognition. CSCW 2020 Workshop on Beyond Checklist Approaches to Ethics in Design, virtual event. 6 pages.
  4. Vikram Mohanty, David Thames, Sneha Mehta, and Kurt Luther. 2020. Supporting historical photo identification with face recognition and crowdsourced human expertise (extended abstract). In Proceedings of the 29th International Joint Conference on Artificial Intelligence (IJCAI ’20), 4755–4759. (Talk) (Invited submission)
  5. Kurt Luther, Andrea Kavanaugh, Jacob Thebault-Spieker, and Judd Antin. 2020. Introduction to the special issue on negotiating truth and trust in socio-technical systems. ACM Transactions on Social Computing 3, 1, Article 1 (February 2020), 2 pages.
  6. Kurt Luther. 2020. Why Photo Sleuths Do—and Don’t—Share With the Community. Military Images 38, 1 (Winter 2020), 8–11.
  7. Kurt Luther. 2020. Lost and Found in the Library of Congress. Military Images 38, 2 (Spring 2020), 10–13.
  8. Kurt Luther. 2020. How to Trust the Worthiness of an Identification. Military Images 38, 3 (Summer 2020), 8–11.
  9. Kurt Luther. 2020. The Art of Photo Sleuthing. Military Images 38, 4 (Autumn 2020), 8–11.

2019

  1. Sukrit Venkatagiri, Jacob Thebault-Spieker, Rachel Kohler, John Purviance, Rifat Sabbir Mansur, and Kurt Luther. 2019. GroundTruth: Augmenting expert image geolocation with crowdsourcing and shared representations. Proceedings of the ACM on Human-Computer Interaction 3, CSCW, Article 107 (November 2019), 30 pages.
  2. Tianyi Li, Chandler J. Manns, Chris North, and Kurt Luther. 2019. Dropping the baton? Understanding errors and bottlenecks in a crowdsourced sensemaking pipeline. Proceedings of the ACM on Human-Computer Interaction 3, CSCW, Article 136 (November 2019), 26 pages.
  3. Nai-Ching Wang, David Hicks, Paul Quigley, and Kurt Luther. 2019. Read-Agree-Predict: A crowdsourced approach to discovering relevant primary sources for historians. Human Computation 6, 1 (October 2019), 147–175.
  4. Maoyuan Sun, Jian Zhao, Hao Wu, Kurt Luther, Chris North, and Naren Ramakrishnan. 2019. The effect of edge bundling and seriation on sensemaking of biclusters in bipartite graphs. IEEE Transactions on Visualization and Computer Graphics 25, 10 (October 2019), 2983–2998.
  5. Vikram Mohanty, Kareem Abdol-Hamid, Courtney Ebersohl, and Kurt Luther. 2019. Second Opinion: Supporting last-mile person identification with crowdsourcing and face recognition. In Proceedings of the 7th AAAI Conference on Human Computation and Crowdsourcing (HCOMP ’19), October 28–30, 2019, Skamania Lodge, WA, USA. AAAI, Washington, DC, USA, 86–96.
  6. Aditya Bharadwaj, Pao Siangliulue, Adam Marcus, and Kurt Luther. 2019. Critter: Augmenting creative work with dynamic checklists, automated quality assurance, and contextual reviewer feedback. In Proceedings of the 37th ACM Conference on Human Factors in Computing Systems (CHI ’19), May 4–9, 2019, Glasgow, UK. ACM, New York, NY, USA, Article 539, 1–12.
  7. Vikram Mohanty, David Thames, Sneha Mehta, and Kurt Luther. 2019. Photo Sleuth: Combining human expertise and face recognition to identify historical portraits. In Proceedings of the 24th ACM Conference on Intelligent User Interfaces (IUI ’19), March 16–20, 2019, Los Angeles, CA, USA. ACM, New York, NY, USA, 547–557. Best Paper Award
  8. Kurt Luther. Solving AI’s last-mile problem with crowd-augmented expert work. 2019. AAAI Fall Symposium on Artificial Intelligence and Work (FSS 2019), Arlington, Va., USA. 5 pages. (Invited submission)
  9. Sukrit Venkatagiri, Jacob Thebault-Spieker, and Kurt Luther. 2019. Designing for coordinated action: Challenges and opportunities of working with experts. CSCW 2019 Workshop on Mapping the “How” of Collaborative Action, Austin, Tx., USA. 5 pages.
  10. Aditya Bharadwaj, David Gwizdala, Yoonjin Kim, Kurt Luther, and T.M. Murali. 2019. Flud: A hybrid crowd-algorithm approach for visualizing biological networks. CHI 2019 Workshop on Where is the Human? Bridging the Gap Between AI and HCI, Glasgow, UK. 4 pages.
  11. Sukrit Venkatagiri, Jacob Thebault-Spieker, Sarwat Kazmi, Efua Akonor, and Kurt Luther. 2019. It's QuizTime: A study of online verification practices on Twitter. AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019), Stevenson, Wash., USA. (Poster)
  12. Jacob Thebault-Spieker, Sukrit Venkatagiri, David Mitchell, Chris Hurt, and Kurt Luther. 2019. PairWise: Mitigating political bias in crowdsourced content moderation. AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2019), Stevenson, Wash., USA. (Demo, Poster) Best Poster/Demo Award
  13. Aditya Bharadwaj, David Gwizdala, Yoonjin Kim, Kurt Luther, and T.M. Murali. 2019. Flud: A hybrid crowd-algorithm approach for visualizing biological networks. BioVis COSI at ISMB 2019, Basel, Switzerland. (Talk, Poster)
  14. Jill M. Derwin, Valerie A. Thomas, Randolph H. Wynne, S. Seth Peery, John Coulston, Kurt Luther, Greg Liknes, and Stacie Bender. 2019. Validating the national-scale remote sensing models using crowdsourced observations. 21st William T. Pecora Memorial Remote Sensing Symposium (Pecora 21) and 38th International Symposium on Remote Sensing of Environment (ISRSE-38), Baltimore, Md., USA. (Talk)
  15. Kurt Luther. 2019. What to Do When Gold Standards Go Wrong?. Military Images 37, 1 (Winter 2019), 8–9.
  16. Kurt Luther. 2019. Civil War Photo Sleuth: An Update. Military Images 37, 2 (Spring 2019), 8–9.
  17. Kurt Luther. 2019. Second Opinion. Military Images 37, 3 (Summer 2019), 8–9.
  18. Kurt Luther. 2019. Evidence-Based Tips for Using Civil War Photo Sleuth. Military Images 37, 4 (Autumn 2019), 8–11.

2018

  1. Nai-Ching Wang, David Hicks, and Kurt Luther. 2018. Exploring trade-offs between learning and productivity in crowdsourced history. Proceedings of the ACM on Human-Computer Interaction 2, CSCW, Article 178 (November 2018), 24 pages.
  2. Tianyi Li, Kurt Luther, and Chris North. 2018. CrowdIA: Solving mysteries with crowdsourced sensemaking. Proceedings of the ACM on Human-Computer Interaction 2, CSCW, Article 105 (November 2018), 29 pages.
  3. Divit P. Singh, Lee Lisle, T. M. Murali, and Kurt Luther. 2018. CrowdLayout: Crowdsourced design and evaluation of biological network visualizations. In Proceedings of the 36th ACM Conference on Human Factors in Computing Systems (CHI ’18), April 21–26, 2018, Montréal, Canada. ACM, New York, NY, USA, Article 232, 1–14.
  4. Tianyi Li, Asmita Shah, Kurt Luther, and Chris North. 2018. Crowdsourcing intelligence analysis with context slices. CHI 2018 Workshop on Sensemaking in a Senseless World, Montréal, Canada. 12 pages.
  5. Sukrit Venkatagiri, Jacob Thebault-Spieker, Aliza Camacho, and Kurt Luther. 2018. Localness and urbanness in geographic crowd work. CSCW 2018 Workshop on Rural Computing: Beyond Access & Infrastructure, Jersey City, N.J., USA. 7 pages.
  6. Vikram Mohanty, David Thames, and Kurt Luther. 2018. Are 1,000 features worth a picture? Combining crowdsourcing and face recognition to identify Civil War soldiers. AAAI Conference on Human Computation and Crowdsourcing (HCOMP 2018), Zurich, Switzerland. (Demo, Poster) Best Poster/Demo Award
  7. Vikram Mohanty, David Thames, and Kurt Luther. 2018. Photo Sleuth: Combining collective intelligence and computer vision to identify historical portraits. ACM Conference on Collective Intelligence (CI 2018), Zurich, Switzerland. (Talk)
  8. Rachel Kohler, John Purviance, and Kurt Luther. 2018. Geolocating images with crowdsourcing and diagramming. In Proceedings of the 27th International Joint Conference on Artificial Intelligence (IJCAI ’18), 5299–5303. (Invited submission)
  9. Sukrit Venkatagiri, Jacob Thebault-Spieker, and Kurt Luther. 2018. Verifying truth from the ground: Leveraging human strengths in the image geolocation process. Human-Computer Interaction Consortium (HCIC 2018) Conference, Watsonville, Calif., USA. (Poster)
  10. Jill M. Derwin, Valerie A. Thomas, Randolph H. Wynne, S. Seth Peery, John Coulston, Kurt Luther, Greg Liknes, and Stacie Bender. 2018. Validating the 2011 and 2016 NLCD Tree Canopy Cover products using crowdsourced interpretations. American Geophysical Union (AGU) Fall Meeting 2018, Washington, D.C., USA. (Poster)
  11. Kurt Luther. 2018. Human computation for image and video analysis. AI Magazine 39, 4: 67–68. (Invited submission)
  12. Edward J.K. Gitre and Kurt Luther. 2018. The American Soldier collaborative digital archive. White paper for grant PW-253766-17, National Endowment for the Humanities. 34 pages.
  13. Kurt Luther. 2018. What Are The Odds? Photo Sleuthing by the Numbers. Military Images 36, 1 (Winter 2018), 12–15.
  14. Kurt Luther. 2018. Reverse Engineering an Image Macro. Military Images 36, 2 (Spring 2018), 12–13.
  15. Kurt Luther. 2018. Non-Traditional Research Tools—and Serendipity. Military Images 36, 3 (Summer 2018), 12–13.
  16. Kurt Luther. 2018. A New Era in Photo Sleuthing Begins. Military Images 36, 4 (Autumn 2018), 8–9.

2017

  1. Aditya Bharadwaj, Divit P. Singh, Anna Ritz, Allison N. Tegge, Christopher L. Poirel, Pavel Kraikivski, Neil Adames, Kurt Luther, Shiv D. Kale, Jean Peccoud, John J. Tyson, and T. M. Murali. 2017. GraphSpace: stimulating interdisciplinary collaborations in network biology. Bioinformatics 33, 19 (October 2017), 3134–3136.
  2. Rachel Kohler, John Purviance, and Kurt Luther. 2017. Supporting image geolocation with diagramming and crowdsourcing. In Proceedings of the 5th AAAI Conference on Human Computation and Crowdsourcing (HCOMP ’17), October 24–26, 2017, Québec City, Canada. AAAI, Washington, DC, USA, 98–107. Notable Paper Award
  3. Rachel Kohler, John Purviance, and Kurt Luther. 2017. GroundTruth: Bringing together experts and crowds for image geolocation. HCOMP 2017 2nd GroupSight Workshop on Human Computation for Image and Video Analysis, Quebec City, Canada. 4 pages.
  4. Aditya Bharadwaj, Divit P. Singh, Anna Ritz, Alison N. Tegge, Christopher L. Poirel, Pavel Kraikivski, Neil Adames, Kurt Luther, Shiv D. Kale, Jean Peccoud, John J. Tyson, and T. M. Murali. 2017. GraphSpace: Stimulating interdisciplinary collaborations in network biology. BOSC COSI at ISMB 2017, Prague, Czech Republic. (Talk)
  5. Rachel Kohler and Kurt Luther. 2017. Crowdsourced image geolocation as collective intelligence. Collective Intelligence 2017, New York, N.Y., USA. (Poster)
  6. Kurt Luther. 2017. Unknown No More: A Georgia Corporal and His Wife Are Identified. Military Images 35, 1 (Winter 2017), 6–7.
  7. Kurt Luther. 2017. Merrill Carbine Leads to a Soldier’s Identification. Military Images 35, 2 (Spring 2017), 64–65.
  8. Kurt Luther. 2017. New Digital Tool Redefines Photo Sleuthing. Military Images 35, 3 (Summer 2017), 18–20.
  9. Kurt Luther. 2017. Officer Identified Using Classic Research and CWPS. Military Images 35, 4 (Autumn 2017), 12–13.

2016

  1. Alvin Yuan, Kurt Luther, Markus Krause, Sophie Isabel Vennix, Steven P. Dow, and Björn Hartmann. 2016. Almost an expert: The effects of rubrics and expertise on perceived value of crowdsourced design critiques. In Proceedings of the 19th ACM Conference on Computer-Supported Cooperative Work & Social Computing (CSCW ’16), February 27–March 2, 2016, San Francisco, CA, USA. ACM, New York, NY, USA, 1005–1017.
  2. Sneha Mehta, Chris North, and Kurt Luther. 2016. An exploratory study of human performance in image geolocation tasks. HCOMP 2016 GroupSight Workshop on Human Computation for Image and Video Analysis, Austin, Tx., USA. 4 pages.
  3. Kurt Luther. 2016. How Fellow Collectors, Field Photos and Muttonchops Identified an Unknown Officer. Military Images 34, 1 (Winter 2016), 29–31.
  4. Kurt Luther. 2016. Early Photo Sleuths In the Dead Letter Office. Military Images 34, 2 (Spring 2016), 52–55.
  5. Kurt Luther. 2016. The Value of Photo Inscriptions as an Identification Tool. Military Images 34, 3 (Summer 2016), 7–9.
  6. Kurt Luther. 2016. How a “Concurrent Service Timeline” Helped Solve the Mystery of a Group Portrait Identification. Military Images 34, 4 (Autumn 2016), 7–9.

2015

  1. Kurt Luther, Nathan Hahn, Steven P. Dow, and Aniket Kittur. 2015. Crowdlines: Supporting synthesis of diverse information sources through crowdsourced outlines. In Proceedings of the 3rd AAAI Conference on Human Computation and Crowdsourcing (HCOMP ’15), November 8–11, 2015, San Diego, CA, USA. AAAI, Washington, DC, USA, 110–119.
  2. Kurt Luther, Jari-Lee Tolentino, Wei Wu, Amy Pavel, Brian P. Bailey, Maneesh Agrawala, Björn Hartmann, and Steven P. Dow. 2015. Structuring, aggregating, and evaluating crowdsourced design critique. In Proceedings of the 18th ACM Conference on Computer Supported Cooperative Work & Social Computing (CSCW ’15), March 14–18, 2015, Vancouver, Canada. ACM, New York, NY, USA, 473–485.
  3. Kurt Luther, Andrea Kavanaugh, and Michael Horning. 2015. Supporting local news sharing with mobile crowdsourcing and large display technologies. CSCW 2015 Workshop on Information Technology in City Life, Vancouver, Canada. 2 pages.
  4. Amy Bruckman, Kurt Luther, and Casey Fiesler. 2015. When should we use real names in published accounts of internet research? In Digital Research Confidential: The Secrets of Studying Behavior Online, Eszter Hargittai and Christian Sandvig (eds.). MIT Press, Cambridge, Mass., USA, 243–258.
  5. Kurt Luther writes the “Photo Sleuth” column in Military Images magazine (2015–present); individual columns are listed by year above. The full run is indexed on JSTOR: https://www.jstor.org/journal/militaryimages
  6. Alvin Yuan, Kurt Luther, Marcus Krause, Steven P. Dow, and Björn Hartmann. 2015. Worker expertise and expert rubrics in crowdsourced design critique. UCB/EECS-2015-223, University of California, Berkeley. 14 pages.
  7. Kurt Luther. 2015. How I Met My Great-Great-Great Uncle. Military Images 33, 1 (Winter 2015), 41–42.
  8. Kurt Luther. 2015. Blazing a Path From Confirmation Bias to Airtight Identification. Military Images 33, 2 (Spring 2015), 54–55.
  9. Kurt Luther. 2015. The Photo Sleuth’s Digital Toolkit. Military Images 33, 3 (Summer 2015), 47–49.
  10. Kurt Luther. 2015. Revealed: The Identity of an Officer in an Iconic Group Portrait. Military Images 33, 4 (Autumn 2015), 22–25.

2014 and earlier

  1. Justin B. Cranshaw, Kurt Luther, Patrick Gage Kelley, and Norman Sadeh. 2014. Curated City: Capturing individual city guides through social curation. In Proceedings of the 32nd ACM Conference on Human Factors in Computing Systems (CHI ’14), April 26–May 1, 2014, Toronto, Canada. ACM, New York, NY, USA, 3249–3258.
  2. Kurt Luther, Steven Dow, and Aniket Kittur. 2014. How can crowdsourcing help individuals learn? CSCW 2014 Workshop on Designing Futures for Peer-to-Peer Learning, Baltimore, Md., USA. 4 pages.
  3. Kurt Luther, Amy Pavel, Wei Wu, Jari-lee Tolentino, Maneesh Agrawala, Björn Hartmann, and Steven P. Dow. 2014. CrowdCrit: Crowdsourcing and aggregating visual design critique. ACM Conference on Computer Supported Cooperative Work (CSCW 2014), Baltimore, Md., USA. (Demo)
  4. Kurt Luther, Casey Fiesler, and Amy Bruckman. 2013. Redistributing leadership in online creative collaboration. In Proceedings of the 16th ACM Conference on Computer Supported Cooperative Work (CSCW ’13), February 23–27, 2013, San Antonio, Texas, USA. ACM, New York, NY, USA, 1007–1022. Best Paper Award
  5. Wei Wu, Kurt Luther, Amy Pavel, Björn Hartmann, Steven P. Dow, and Maneesh Agrawala. 2013. CrowdCritter: Strategies for crowdsourcing visual design critique. UCB/EECS-2013-95, University of California, Berkeley. 36 pages.
  6. Paul André, Michael Bernstein, and Kurt Luther. 2012. Who Gives a Tweet?: Evaluating microblog content value. In Proceedings of the 15th ACM Conference on Computer Supported Cooperative Work (CSCW ’12), February 11–15, 2012, Seattle, WA, USA. ACM, New York, NY, USA, 471–474. Best Paper Honorable Mention Award
  7. Kurt Luther. 2011. Fast, accurate, and brilliant: Realizing the potential of crowdsourcing and human computation. CHI 2011 Workshop on Crowdsourcing and Human Computation, Vancouver, Canada. 4 pages.
  8. Kurt Luther and Amy Bruckman. 2011. Leadership and success factors in online creative collaboration. IEEE Potentials 30, 5: 27–32. (Invited submission)
  9. Kurt Luther, Kelly Caine, Kevin Ziegler, and Amy Bruckman. 2010. Why it works (when it works): Success factors in online creative collaboration. In Proceedings of the 16th ACM Conference on Supporting Group Work (GROUP ’10), November 7–10, 2010, Sanibel Island, FL, USA. ACM, New York, NY, USA, 1–10.
  10. Paul André, m.c. schraefel, Alan Dix, Ryen W. White, Michael Bernstein, and Kurt Luther. 2010. Designing for Schadenfreude (or, how to express well-being and see if you're boring people). CHI 2010 Workshop on Microblogging: What and How Can We Learn From It?, Atlanta, Ga., USA. 4 pages.
  11. Kurt Luther, Nicholas Diakopoulos and Amy Bruckman. 2010. Edits & credits: Exploring integration and attribution in online creative collaboration. ACM Conference on Human Factors in Computing Systems (alt.chi 2010), Atlanta, Ga., USA. (Talk) (Invited submission)
  12. Kurt Luther, Scott Counts, Kristin B. Stecher, Aaron Hoff, and Paul Johns. 2009. Pathfinder: An online collaboration environment for citizen scientists. In Proceedings of the 27th ACM Conference on Human Factors in Computing Systems (CHI ’09), April 4–9, 2009, Boston, MA, USA. ACM, New York, NY, USA, 239–248.
  13. Brian Magerko, Waleed Manzoul, Mark Riedl, Allan Baumer, Daniel Fuller, Kurt Luther, and Celia Pearce. 2009. An empirical study of cognition and theatrical improvisation. In Proceedings of the 7th ACM Conference on Creativity and Cognition (C&C ’09), October 26–30, 2009, Berkeley, CA, USA. ACM, New York, NY, USA, 117–126.
  14. Michael Bernstein, Paul André, Kurt Luther, Erin Treacy Solovey, Erika S. Poole, Sharoda A. Paul, Shaun K. Kane, and Jonathan Grudin. 2009. CHIstory. ACM Conference on Human Factors in Computing Systems (CHI 2009), Boston, Mass., USA. (Video) Most Entertaining Video Award
  15. Kurt Luther and Amy Bruckman. 2009. Flash collabs: Collaborative innovation networks in online communities of animators. Conference on Collaborative Innovation Networks (COINS 2009), Savannah, Ga., USA. (Talk)
  16. Kurt Luther, Kevin Ziegler, Kelly E. Caine, and Amy Bruckman. 2009. Predicting successful completion of online collaborative animation projects. ACM Conference on Creativity and Cognition (C&C 2009), Berkeley, Calif., USA. (Poster)
  17. Kurt Luther, Matthew Flaschen, Andrea Forte, Christopher Jordan, and Amy Bruckman. 2009. Provelt: A new tool for supporting citation in MediaWiki. International Symposium on Wikis and Open Collaboration (WikiSym 2009), Orlando, Fla., USA. (Demo)
  18. Kurt Luther and Amy Bruckman. 2008. Leadership in online creative collaboration. In Proceedings of the 12th ACM Conference on Computer Supported Cooperative Work (CSCW ’08), November 8–12, 2008, San Diego, CA, USA. ACM, New York, NY, USA, 343–352.
  19. Jason B. Ellis, Kurt Luther, Katherine Bessière, and Wendy A. Kellogg. 2008. Games for virtual team building. In Proceedings of the 7th ACM Conference on Designing Interactive Systems (DIS ’08), February 25–27, 2008, Cape Town, South Africa. ACM, New York, NY, USA, 295–304.
  20. Nicholas Diakopoulos, Kurt Luther, and Irfan Essa. 2008. Audio Puzzler: Piecing together time-stamped speech transcripts with a puzzle game. In Proceedings of the 16th ACM Conference on Multimedia (MM ’08), October 26–31, 2008, Vancouver, Canada. ACM, New York, NY, USA, 865–868.
  21. Youn-ah Kang, John Stasko, Kurt Luther, Avinash Ravi, and Yan Xu. 2008. RevisiTour: Enriching the tourism experience with user-generated content. In Proceedings of the International Conference on Information and Communication Technologies in Tourism (ENTER ’08), January 23–25, 2008, Innsbruck, Austria. Springer, Vienna, Austria, 59–69.
  22. Sarita Yardi, Kurt Luther, Nicholas Diakopoulos, and Amy Bruckman. 2008. Opening the black box: Four views of transparency in remix culture. CSCW 2008 Workshop on Tinkering, Tailoring, & Mashing: The Social and Collaborative Practices of the Read-Write Web, San Diego, Calif., USA. 4 pages.
  23. Jason B. Ellis, Kurt Luther, Katherine Bessiere, and Wendy A. Kellogg. 2008. Games for virtual team building. CSCW 2008 Workshop on Supporting Distributed Team Work, San Diego, Calif., USA. 10 pages.
  24. Nicholas Diakopoulos, Kurt Luther, Yevgeniy (Eugene) Medynskiy, and Irfan Essa. 2007. The evolution of authorship in a remix society. In Proceedings of the 18th ACM Conference on Hypertext and Hypermedia (HT ’07), September 10–12, 2007, Manchester, UK. ACM, New York, NY, USA, 133–136.
  25. Kurt Luther and Nicholas Diakopoulos. Distributed creativity. 2007. C&C 2007 Workshop on Supporting Creative Acts Beyond Dissemination, Washington, D.C., USA. 6 pages.
  26. Nicholas Diakopoulos, Kurt Luther, Yevgeniy “Eugene” Medynskiy, and Irfan Essa. 2007. Remixing authorship: Reconfiguring the author in online video remix culture. GIT-IC-07-05, Georgia Institute of Technology. 10 pages.