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CHI '23: Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
ACM2023 Proceeding
Publisher:
  • Association for Computing Machinery
  • New York
  • NY
  • United States
Conference:
CHI '23: CHI Conference on Human Factors in Computing Systems Hamburg Germany April 23 - 28, 2023
ISBN:
978-1-4503-9421-5
Published:
19 April 2023
Sponsors:
Next Conference
April 26 - May 1, 2025
Yokohama , Japan
Reflects downloads up to 18 Nov 2024Bibliometrics
SESSION: Human AI Collaboration B
research-article
Open Access
AI Shall Have No Dominion: on How to Measure Technology Dominance in AI-supported Human decision-making
Article No.: 354, Pages 1–20https://doi.org/10.1145/3544548.3581095

In this article, we propose a conceptual and methodological framework for measuring the impact of the introduction of AI systems in decision settings, based on the concept of technological dominance, i.e. the influence that an AI system can exert on ...

research-article
Open Access
Co-Writing Screenplays and Theatre Scripts with Language Models: Evaluation by Industry Professionals
Article No.: 355, Pages 1–34https://doi.org/10.1145/3544548.3581225

Language models are increasingly attracting interest from writers. However, such models lack long-range semantic coherence, limiting their usefulness for longform creative writing. We address this limitation by applying language models hierarchically, ...

research-article
Open Access
Honorable Mention
Honorable Mention
Investigating How Practitioners Use Human-AI Guidelines: A Case Study on the People + AI Guidebook
Article No.: 356, Pages 1–13https://doi.org/10.1145/3544548.3580900

Artificial intelligence (AI) presents new challenges for the user experience (UX) of products and services. Recently, practitioner-facing resources and design guidelines have become available to ease some of these challenges. However, little research ...

research-article
Modeling Touch-based Menu Selection Performance of Blind Users via Reinforcement Learning
Article No.: 357, Pages 1–18https://doi.org/10.1145/3544548.3580640

Although menu selection has been extensively studied in HCI, most existing studies have focused on sighted users, leaving blind users’ menu selection under-studied. In this paper, we propose a computational model that can simulate blind users’ menu ...

research-article
User Preference and Performance using Tagging and Browsing for Image Labeling
Article No.: 358, Pages 1–13https://doi.org/10.1145/3544548.3580926

Visual content must be labeled to facilitate navigation and retrieval, or provide ground truth data for supervised machine learning approaches. The efficiency of labeling techniques is crucial to produce numerous qualitative labels, but existing ...

research-article
What is Human-Centered about Human-Centered AI? A Map of the Research Landscape
Article No.: 359, Pages 1–23https://doi.org/10.1145/3544548.3580959

The application of Artificial Intelligence (AI) across a wide range of domains comes with both high expectations of its benefits and dire predictions of misuse. While AI systems have largely been driven by a technology-centered design approach, the ...

Cited By

  1. ACM
    Yamanaka S, Usuba H, Oba Y, Kinoshita T, Tomihari R, Kasahara N and Miyashita H (2024). Verifying Finger-Fitts Models for Normalizing Subjective Speed-Accuracy Biases, Proceedings of the ACM on Human-Computer Interaction, 8:MHCI, (1-24), Online publication date: 24-Sep-2024.
  2. ACM
    Chang Y, Wang Y, Chang C, Tan W, Hsu Y, Chen Y and Chen M (2024). Experience from Designing Augmented Reality Browsing Interfaces for Real-world Walking Scenarios, Proceedings of the ACM on Human-Computer Interaction, 8:MHCI, (1-26), Online publication date: 24-Sep-2024.
  3. ACM
    Ji K, Hettiachchi D, Salim F, Scholer F and Spina D Characterizing Information Seeking Processes with Multiple Physiological Signals Proceedings of the 47th International ACM SIGIR Conference on Research and Development in Information Retrieval, (1006-1017)
  4. Seraji M, Piray P, Zahednejad V and Stuerzlinger W (2024). Analyzing User Behaviour Patterns in a Cross-Virtuality Immersive Analytics System, IEEE Transactions on Visualization and Computer Graphics, 30:5, (2613-2623), Online publication date: 1-May-2024.
  5. Benda N, Desai P, Reza Z, Zheng A, Kumar S, Harkins S, Hermann A, Zhang Y, Joly R, Kim J, Pathak J and Reading Turchioe M (2024). Patient Perspectives on AI for Mental Health Care: With Great [Computing] Power, Comes Great Responsibility (Preprint), JMIR Mental Health, 10.2196/58462
  6. Cabric F, Bjarnadóttir M, Ling M, Rafnsdóttir G and Isenberg P (2023). Eleven Years of Gender Data Visualization: A Step Towards More Inclusive Gender Representation, IEEE Transactions on Visualization and Computer Graphics, 30:1, (316-326), Online publication date: 1-Jan-2024.
Contributors
  • University of Stuttgart
  • Tampere University
  • University of Cambridge
  • University of Namibia
  • MIT Computer Science & Artificial Intelligence Laboratory
  • University of Glasgow
  • University of Nottingham

Index Terms

  1. Proceedings of the 2023 CHI Conference on Human Factors in Computing Systems
    Index terms have been assigned to the content through auto-classification.
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    Recommendations

    Acceptance Rates

    Overall Acceptance Rate 6,199 of 26,314 submissions, 24%
    YearSubmittedAcceptedRate
    CHI '192,95870324%
    CHI '182,59066626%
    CHI '172,40060025%
    CHI '162,43556523%
    CHI '152,12048623%
    CHI '142,04346523%
    CHI '131,96339220%
    CHI '111,53241027%
    CHI '091,13027725%
    CHI '0871415722%
    CHI '0784018222%
    CHI '053729325%
    CHI '034687516%
    CHI '024146115%
    CHI '013526920%
    CHI '003367221%
    CHI '993127825%
    CHI '983518123%
    CHI '972345524%
    CHI '962565521%
    CHI '942637027%
    CHI '933306219%
    CHI '922166731%
    CHI '912405623%
    CHI '902604718%
    CHI '891995427%
    CHI '881873921%
    CHI '871664628%
    CHI '861224739%
    CHI '851703521%
    CHI '831765934%
    CHI '821657545%
    Overall26,3146,19924%