Exploring the Design Space of Optical See-through AR Head-Mounted Displays to Support First Responders in the Field

要旨

First responders (FRs) navigate hazardous, unfamiliar environments in the field (e.g., mass-casualty incidents), making life-changing decisions in a split second. AR head-mounted displays (HMDs) have shown promise in supporting them due to its capability of recognizing and augmenting the challenging environments in a hands-free manner. However, the design space have not been thoroughly explored by involving various FRs who serve different roles (e.g., firefighters, law enforcement) but collaborate closely in the field. We interviewed 26 first responders in the field who experienced a state-of-the-art optical-see-through AR HMD, as well as its interaction techniques and four types of AR cues (i.e., overview cues, directional cues, highlighting cues, and labeling cues), soliciting their first-hand experiences, design ideas, and concerns. Our study revealed both generic and role-specific preferences and needs for AR hardware, interactions, and feedback, as well as identifying desired AR designs tailored to urgent, risky scenarios (e.g., affordance augmentation to facilitate fast and safe action). While acknowledging the value of AR HMDs, concerns were also raised around trust, privacy, and proper integration with other equipment. Finally, we derived comprehensive and actionable design guidelines to inform future AR systems for in-field FRs.

著者
Kexin Zhang
University of Wisconsin-Madison, Madison, Wisconsin, United States
Brianna R. Cochran
University of Wisconsin-Madison, Madison, Wisconsin, United States
Ruijia Chen
University of Wisconsin-Madison, Madison, Wisconsin, United States
Lance Hartung
University of Wisconsin - Madison, Madison, Wisconsin, United States
Bryce Sprecher
Wisconsin Institute for Discovery, Madison, Wisconsin, United States
Ross Tredinnick
University of Wisconsin - Madison, Madison, Wisconsin, United States
Kevin Ponto
University of Wisconsin - Madison, Madison, Wisconsin, United States
Suman Banerjee
UW Madison, Madison, Wisconsin, United States
Yuhang Zhao
University of Wisconsin-Madison, Madison, Wisconsin, United States
論文URL

https://doi.org/10.1145/3613904.3642195

動画

会議: CHI 2024

The ACM CHI Conference on Human Factors in Computing Systems (https://chi2024.acm.org/)

セッション: Crisis Informatics

316B
5 件の発表
2024-05-15 20:00:00
2024-05-15 21:20:00