Understanding How People with Limited Mobility Use Multi-Modal Input

被引:11
|
作者
Wentzel, Johann [1 ]
Junuzovic, Sasa [2 ]
Devine, James [3 ]
Porter, John R. [4 ]
Mott, Martez E. [2 ]
机构
[1] Univ Waterloo, Waterloo, ON, Canada
[2] Microsoft Res, Redmond, WA USA
[3] Microsoft Res, Cambridge, England
[4] Microsoft, Redmond, WA USA
来源
PROCEEDINGS OF THE 2022 CHI CONFERENCE ON HUMAN FACTORS IN COMPUTING SYSTEMS (CHI' 22) | 2022年
关键词
D O I
10.1145/3491102.3517458
中图分类号
学科分类号
摘要
People with limited mobility often use multiple devices when interacting with computing systems, but little is known about the impact these multi-modal configurations have on daily computing use. A deeper understanding of the practices, preferences, obstacles, and workarounds associated with accessible multi-modal input can uncover opportunities to create more accessible computer applications and hardware. We explored how people with limited mobility use multi-modality through a three-part investigation grounded in the context of video games. First, we surveyed 43 people to learn about their preferred devices and configurations. Next, we conducted semi-structured interviews with 14 participants to understand their experiences and challenges with using, configuring, and discovering input setups. Lastly, we performed a systematic review of 74 YouTube videos to illustrate and categorize input setups and adaptations in-situ. We conclude with a discussion on how our findings can inform future accessibility research for current and emerging computing technologies.
引用
收藏
页数:17
相关论文
共 50 条
  • [21] "This is a service for people who can mobilise themselves": Age and gender perspectives of multi-modal mobility as a service
    Mcilroy, Rich C.
    Mcpeake, Katie
    TRAVEL BEHAVIOUR AND SOCIETY, 2025, 40
  • [22] A Single-Planner Approach to Multi-Modal Humanoid Mobility
    Dornbush, Andrew
    Vijayakumar, Karthik
    Bardapurkar, Sameer
    Islam, Fahad
    Ito, Masayuki
    Likhachev, Maxim
    2018 IEEE INTERNATIONAL CONFERENCE ON ROBOTICS AND AUTOMATION (ICRA), 2018, : 4334 - 4341
  • [23] The importance of consumer motives for green mobility: A multi-modal perspective
    Herberz, Mario
    Hahnel, Ulf J. J.
    Brosch, Tobias
    TRANSPORTATION RESEARCH PART A-POLICY AND PRACTICE, 2020, 139 : 102 - 118
  • [24] Simulating Adaptive, Personalized, Multi-modal Mobility in Smart Cities
    Poxrucker, Andreas
    Bahle, Gernot
    Lukowicz, Paul
    SMART CITY 360, 2016, 166 : 113 - 124
  • [25] A Mobility Equity Metric for Multi-Modal Intelligent Transportation Systems
    Bang, Heeseung
    Dave, Aditya
    Tzortzoglou, Filippos N.
    Malikopoulos, Andreas A.
    IFAC PAPERSONLINE, 2024, 58 (10): : 114 - 119
  • [26] A Soft Drone with Multi-modal Mobility for the Exploration of Confined Spaces
    Fabris, Amedeo
    Kirchgeorg, Steffen
    Mintchev, Stefano
    2021 IEEE INTERNATIONAL SYMPOSIUM ON SAFETY, SECURITY, AND RESCUE ROBOTICS (SSRR), 2021, : 48 - 54
  • [27] Model of Sustainable Household Mobility in Multi-Modal Transportation Networks
    Kabashkin, Igor
    SUSTAINABILITY, 2024, 16 (17)
  • [28] Beyond Emotion: A Multi-Modal Dataset for Human Desire Understanding
    Jia, Ao
    He, Yu
    Zhang, Yazhou
    Uprety, Sagar
    Song, Dawei
    Lioma, Christina
    NAACL 2022: THE 2022 CONFERENCE OF THE NORTH AMERICAN CHAPTER OF THE ASSOCIATION FOR COMPUTATIONAL LINGUISTICS: HUMAN LANGUAGE TECHNOLOGIES, 2022, : 1512 - 1522
  • [29] Mixture-of-Prompt-Experts for Multi-modal Semantic Understanding
    Wu, Zichen
    Huang, HsiuYuan
    Qu, Fanyi
    Wu, Yunfang
    arXiv,
  • [30] Contribution of multi-modal imaging to our understanding of dystonia pathogenesis
    MacIver, Claire
    Peall, Kathryn
    JOURNAL OF NEUROLOGY, 2021, 268 (08) : 3043 - 3045