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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: Navigating Spaces and Places
research-article
3D Building Plans: Supporting Navigation by People who are Blind or have Low Vision in Multi-Storey Buildings
Article No.: 539, Pages 1–19https://doi.org/10.1145/3544548.3581389

Independent travel and navigation in new environments, in particular multi-storey buildings, is a major challenge for people who are blind or have low vision (BLV). Using tactile maps as part of orientation and mobility (O&M) training, BLV people can ...

research-article
3D Printed Interactive Multi-Storey Model for People with Visual Impairments
Article No.: 540, Pages 1–15https://doi.org/10.1145/3544548.3581304

The understanding of multi-level spatial topologies is a difficult and frequent challenge in people with visual impairments daily life, impacting their independent mobility. Using the tools of the “maker” movement, and following an iterative co-design ...

research-article
Public Access
Enhancing Blind Visitor’s Autonomy in a Science Museum Using an Autonomous Navigation Robot
Article No.: 541, Pages 1–14https://doi.org/10.1145/3544548.3581220

Enabling blind visitors to explore museum floors while feeling the facility’s atmosphere and increasing their autonomy and enjoyment are imperative for giving them a high-quality museum experience. We designed a science museum exploration system for ...

research-article
Open Access
"I am the follower, also the boss": Exploring Different Levels of Autonomy and Machine Forms of Guiding Robots for the Visually Impaired
Article No.: 542, Pages 1–22https://doi.org/10.1145/3544548.3580884

Guiding robots, in the form of canes or cars, have recently been explored to assist blind and low vision (BLV) people. Such robots can provide full or partial autonomy when guiding. However, the pros and cons of different forms and autonomy for guiding ...

research-article
Honorable Mention
Honorable Mention
TactIcons: Designing 3D Printed Map Icons for People who are Blind or have Low Vision
Article No.: 543, Pages 1–18https://doi.org/10.1145/3544548.3581359

Visual icons provide immediate recognition of features on print maps but do not translate well for touch reading by people who are blind or have low vision due to the low fidelity of tactile perception. We explored 3D printed icons as an equivalent to ...

research-article
Open Access
Best Paper
Best Paper
Take My Hand: Automated Hand-Based Spatial Guidance for the Visually Impaired
Article No.: 544, Pages 1–16https://doi.org/10.1145/3544548.3581415

Tasks that involve locating objects and then moving hands to those specific locations, such as using touchscreens or grabbing objects on a desk, are challenging for the visually impaired. Over the years, audio guidance and haptic feedback have been a ...

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%