The DOI matches its Crossref record.
CHI Conference on Human Factors in Computing Systems
Abstract
International audience
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cited by
Lost in the Middle: How Language Models Use Long Contexts
Liu, N. F., Lin, K., Hewitt, J., Paranjape, A., Bevilacqua, M., Petroni, F., & Liang, P. (2024) · Transactions of the Association for Computational Linguistics · doi:10.1162/tacl_a_00638 · Cited by 1,612
Artificial Intelligence (AI) Literacy in Early Childhood Education: The Challenges and Opportunities
Su, J., Ng, D. T. K., & Chu, S. K. W. (2023) · Computers and Education: Artificial Intelligence · doi:10.1016/j.caeai.2023.100124 · Cited by 489
From promise to practice: towards the realisation of AI-informed mental health care
Koutsouleris, N., Hauser, T. U., Skvortsova, V., & De Choudhury, M. (2022) · The Lancet Digital Health · doi:10.1016/s2589-7500(22)00153-4 · Cited by 251
Pinski, M., & Benlian, A. (2024) · Computers in Human Behavior: Artificial Humans · doi:10.1016/j.chbah.2024.100062 · Cited by 243
Three Challenges for AI-Assisted Decision-Making
Steyvers, M., & Kumar, A. (2024) · Perspectives on Psychological Science · doi:10.1177/17456916231181102 · Cited by 217
CreativeConnect: Supporting Reference Recombination for Graphic Design Ideation with Generative AI
Choi, D., Hong, S., Park, J., Chung, J. J. Y., & Kim, J. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642794 · Cited by 124
When and How to Use AI in the Design Process? Implications for Human-AI Design Collaboration
Lee, S.-Y., Law, M., & Hoffman, G. (2025) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2353451 · Cited by 97
Park, H., & Ahn, D. (2024) · Proceedings of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613904.3642785 · Cited by 84
Automation bias in public administration – an interdisciplinary perspective from law and psychology
Ruschemeier, H., & Hondrich, L. J. (2024) · Government Information Quarterly · doi:10.1016/j.giq.2024.101953 · Cited by 59
A Taxonomy for Human-LLM Interaction Modes: An Initial Exploration
Gao, J., Gebreegziabher, S. A., Choo, K. T. W., Li, T. J.-J., Perrault, S. T., & Malone, T. W. (2024) · Extended Abstracts of the CHI Conference on Human Factors in Computing Systems · doi:10.1145/3613905.3650786 · Cited by 57
Working at the Intersection of Race, Disability and Accessibility
Harrington, C. N., Desai, A., Lewis, A., Moharana, S., Ross, A. S., & Mankoff, J. (2023) · The 25th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3597638.3608389 · Cited by 53
Psychological Traits and Appropriate Reliance: Factors Shaping Trust in AI
Küper, A., & Krämer, N. (2024) · International Journal of Human–Computer Interaction · doi:10.1080/10447318.2024.2348216 · Cited by 49
Bach, A. K. P., Nørgaard, T. M., Brok, J. C., & van Berkel, N. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581513 · Cited by 47
Let the Chart Spark: Embedding Semantic Context into Chart with Text-to-Image Generative Model
Xiao, S., Huang, S., Lin, Y., Ye, Y., & Zeng, W. (2024) · IEEE Transactions on Visualization and Computer Graphics · doi:10.1109/tvcg.2023.3326913 · Cited by 44
Dedema, M., & Rosenbaum, H. (2024) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.24868 · Cited by 49
Kornfield, R., Stamatis, C. A., Bhattacharjee, A., Pang, B., Nguyen, T., Williams, J. J., Kumar, H., Popowski, S., Beltzer, M., Karr, C. J., et al. (2023) · Internet Interventions · doi:10.1016/j.invent.2023.100667 · Cited by 33
Ayobi, A., Hughes, J., Duckworth, C. J., Dylag, J. J., Gordon James, S., Marshall, P., Guy, M., Kumaran, A., Chapman, A., Boniface, M., et al. (2023) · Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3544548.3581424 · Cited by 26
Shen, J. J., King Chen, J., Findlater, L., & Dietz Smith, G. (2025) · Proceedings of the 2025 CHI Conference on Human Factors in Computing Systems · doi:10.1145/3706598.3713405 · Cited by 24
Communicating Missing Causal Information to Explain a Robot’s Past Behavior
Han, Z., & Yanco, H. (2023) · ACM Transactions on Human-Robot Interaction · doi:10.1145/3568024 · Cited by 11
To See or Not to See: Understanding the Tensions of Algorithmic Curation for Visual Arts
Srinivasan, R. (2024) · The 2024 ACM Conference on Fairness Accountability and Transparency · doi:10.1145/3630106.3658917 · Cited by 9
Seery, C., Cochrane, R. H., Mulcahy, M., Kilbride, K., Wrigley, M., & Bramham, J. (2025) · Internet Interventions · doi:10.1016/j.invent.2025.100807 · Cited by 7
“Sex without Sexual Attraction?“: Perceived Sexual Experiences of Indian Sex-favourable Asexuals
Agrawal, N., Shainy, M. R., Sebastian, J., Srivastava, A., & Scoats, R. (2025) · Psychology & Sexuality · doi:10.1080/19419899.2025.2518977 · Cited by 4
Kneitmix, M. J., & Wobbrock, J. O. (2025) · Proceedings of the 27th International ACM SIGACCESS Conference on Computers and Accessibility · doi:10.1145/3663547.3746364 · Cited by 5
Metadata
- Publisher
- ACM
- Published
- 2022-04-29
- OpenAlex
- W4226210603
- Cited by
- 308
- References
- 0
- Type
- paratext
- Language
- en
- Open access
- closed
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.