Touchless Interaction for Smart Glasses in Emergency Medical Services: User Needs and Experiences

被引:3
作者
Zhang, Zhan [1 ]
Bai, Enze [1 ]
Stepanian, Aram [1 ]
Jagannath, Swathi [2 ]
Park, Sun Young [3 ,4 ]
机构
[1] Pace Univ, Sch Comp Sci & Informat Syst, New York, NY 10038 USA
[2] Microsoft, Redmond, WA USA
[3] Univ Michigan, Sch Informat, Ann Arbor, MI USA
[4] Univ Michigan, Sch Art & Design, Ann Arbor, MI USA
基金
美国国家科学基金会;
关键词
Smart glasses; touchless interaction; usability; user experience; emergency medical services; healthcare; GOOGLE GLASS; TELEMEDICINE;
D O I
10.1080/10447318.2024.2328917
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
The application of smart glasses in healthcare, particularly for providers engaged in hands-on patient care tasks, presents unique design challenges. This study combines participatory design and usability testing to assess the user experiences of touchless interaction methods for smart glasses in the context of Emergency Medical Services (EMS). The participatory design workshops with 16 EMS providers reveal a preference for touchless interaction methods such as voice commands and pinch hand gestures, driven by the need to keep hands free and minimize cross-contamination risk. Despite this preference, the laboratory-based usability testing with 16 EMS providers indicates that both voice commands and hand gestures fall short in task performance compared to the default tangible buttons on smart glasses, primarily due to software limitations and EMS providers' unfamiliarity with touchless techniques. Our findings reveal specific issues associated with using different interaction methods when operating smart glasses. Building on these insights, we discuss design implications for smart glasses to better align with the dynamic and unique characteristics of fast-paced medical work.
引用
收藏
页码:2984 / 3003
页数:20
相关论文
共 100 条
[1]  
Aigner Roland, 2012, Technical Report MSRTR- 2012-111
[2]   Hands-Free Image Capture, Data Tagging and Transfer Using Google Glass: A Pilot Study for Improved Wound Care Management [J].
Aldaz, Gabriel ;
Shluzas, Lauren Aquino ;
Pickham, David ;
Eris, Ozgur ;
Sadler, Joel ;
Joshi, Shantanu ;
Leifer, Larry .
PLOS ONE, 2015, 10 (04)
[3]  
Almutairi K, 2020, INT J ADV COMPUT SC, V11, P647
[4]  
[Anonymous], 2011, Handbook of face recognition, DOI DOI 10.1007/978-0-85729-932-1_27
[5]  
Azai Takumi., 2017, Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems, P357, DOI [10.1145/3027063, DOI 10.1145/3027063.3052959]
[6]   Factors Affecting User Perception of a Spoken Language vs. Textual Search Interface: A Content Analysis [J].
Begany, Grace M. ;
Sa, Ning ;
Yuan, Xiaojun .
INTERACTING WITH COMPUTERS, 2016, 28 (02) :170-180
[7]   Smartglasses for the Triage of Casualties and the Identification of Hazardous Materials How Smartglasses Can Help Emergency Medical Services Managing Challenging Rescue Missions [J].
Berndt, Henrik ;
Mentler, Tilo ;
Herczeg, Michael .
i-com, 2016, 15 (02) :145-153
[8]  
Blair E., 2015, J METHODS MEASUREMEN, V6, P14, DOI [DOI 10.2458/V6I1.1877, 10.2458/v6i1.18772, DOI 10.2458/V6I1.18772]
[9]  
Braun V, 2012, APA HDB RES METHODS, DOI DOI 10.1037/13620-004
[10]  
Broach J, 2018, PROCEEDINGS OF THE 51ST ANNUAL HAWAII INTERNATIONAL CONFERENCE ON SYSTEM SCIENCES (HICSS), P1416