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
  • [41] Understanding the Dynamics of Social Interactions: A Multi-Modal Multi-View Approach
    Trabelsi, Rim
    Varadarajan, Jagannadan
    Zhang, Le
    Jabri, Issam
    Pei, Yong
    Smach, Fethi
    Bouallegue, Ammar
    Moulin, Pierre
    ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2019, 15 (01)
  • [42] MULTI-MODAL, MULTI-OUTPUT, MULTIREGIONAL VARIABLE INPUT-OUTPUT MODEL
    LIEW, CK
    LIEW, CJ
    REGIONAL SCIENCE AND URBAN ECONOMICS, 1984, 14 (02) : 265 - 281
  • [43] On the use of Multi-Modal Sensing in Sign Language Classification
    Sharma, Sneha
    Gupta, Rinki
    Kumar, Arun
    2019 6TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING AND INTEGRATED NETWORKS (SPIN), 2019, : 495 - 500
  • [44] Multi-Modal Predictors of Cannabis Use Initiation in Adolescents
    Garavan, Hugh
    Spechler, Phil
    BIOLOGICAL PSYCHIATRY, 2018, 83 (09) : S30 - S30
  • [45] MOBILE APPLICATIONS FOR TRAINING MULTI-MODAL MOBILITY USING SOCIAL NETWORKS
    Suciu, George
    Butca, Cristina
    Necula, Lucian
    ELEARNING VISION 2020!, VOL II, 2016, : 460 - 466
  • [46] Toward an Interactive Mobility Assistant for Multi-modal Transport in Smart Cities
    Kuster, Christian
    Masuch, Nils
    Sivrikaya, Fikret
    SERVICE-ORIENTED COMPUTING - ICSOC 2017 WORKSHOPS, 2018, 10797 : 322 - 328
  • [47] Multi-Modal Use of a Socially Directed Call in Bonobos
    Genty, Emilie
    Clay, Zanna
    Hobaiter, Catherine
    Zuberbuehler, Klaus
    PLOS ONE, 2014, 9 (01):
  • [48] A Multi-modal Utility to Assist Powered Mobility Device Navigation Tasks
    Poon, James
    Miro, Jaime Valls
    SOCIAL ROBOTICS, 2014, 8755 : 300 - 309
  • [49] Mobility service providers' interacting strategies under multi-modal equilibrium
    Bandiera, Claudia
    Connors, Richard D.
    Viti, Francesco
    TRANSPORTATION RESEARCH PART C-EMERGING TECHNOLOGIES, 2024, 168
  • [50] The use of the path flow estimator in multi-modal networks
    Bell, MGH
    Cassir, C
    TRAFFIC AND TRANSPORTATION STUDIES, 1998, : 10 - 19