TY - GEN
T1 - Taiwanese people’s wayfinding personas and tool preferences
AU - Lo, Chih Wei Joy
AU - Liao, Chia Ning
AU - Chen, I-Ping
AU - Hsieh, Tsuei Ju
N1 - Publisher Copyright:
© Springer International Publishing AG 2017.
PY - 2017
Y1 - 2017
N2 - Improving wayfinding system design is a challenge facing hospitals today, and as such this study seeks to improve the design of wayfinding systems by understanding patient routing patterns, wayfinding strategies, and wayfinder tool preference. The methodology of this study has three stages: The first is to administer the Wayfinding Strategies and Related Capabilities Survey [1] toa Taiwanese sample, and then to conduct a factor analysis to isolate important factors. Test subjects included 178 Taiwanese from different professional and education backgrounds. The second stage is based on the ratings of five wayfinding tools used by subjects (Google Maps, map signage, Hand-drawn maps, bystander assistance, and directional signage). A correlation analysis of the helpfulness of the tools and the factors isolated in stage 1 is conducted to separate the subjects into different wayfinding personas. The third stage is conducting interviews of exemplars of the personas found in the second stage. A factor analysis is conducted on the results of the survey, and important survey items are identified. Subjects are divided into one of the following 8 wayfinding personas based on their Wayfinding Ability and Wayfinding Strategy (survey or map strategy): Improvisational, Helpless, Capable, Brute Force, Orienteer, Road-Blind, Map Consultant, and Map-Blind. We advise that prospective designers of smart devices should, in addition to the current functions of Google Maps, consider the habit of hospital users to seek help, as well as the needs of the visually impaired.
AB - Improving wayfinding system design is a challenge facing hospitals today, and as such this study seeks to improve the design of wayfinding systems by understanding patient routing patterns, wayfinding strategies, and wayfinder tool preference. The methodology of this study has three stages: The first is to administer the Wayfinding Strategies and Related Capabilities Survey [1] toa Taiwanese sample, and then to conduct a factor analysis to isolate important factors. Test subjects included 178 Taiwanese from different professional and education backgrounds. The second stage is based on the ratings of five wayfinding tools used by subjects (Google Maps, map signage, Hand-drawn maps, bystander assistance, and directional signage). A correlation analysis of the helpfulness of the tools and the factors isolated in stage 1 is conducted to separate the subjects into different wayfinding personas. The third stage is conducting interviews of exemplars of the personas found in the second stage. A factor analysis is conducted on the results of the survey, and important survey items are identified. Subjects are divided into one of the following 8 wayfinding personas based on their Wayfinding Ability and Wayfinding Strategy (survey or map strategy): Improvisational, Helpless, Capable, Brute Force, Orienteer, Road-Blind, Map Consultant, and Map-Blind. We advise that prospective designers of smart devices should, in addition to the current functions of Google Maps, consider the habit of hospital users to seek help, as well as the needs of the visually impaired.
KW - Wayfinding ability
KW - Wayfinding design
KW - Wayfinding persona
KW - Wayfinding strategy
KW - Wayfinding tools
UR - http://www.scopus.com/inward/record.url?scp=85025158310&partnerID=8YFLogxK
U2 - 10.1007/978-3-319-58640-3_18
DO - 10.1007/978-3-319-58640-3_18
M3 - Conference contribution
AN - SCOPUS:85025158310
SN - 9783319586397
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 249
EP - 264
BT - Design, User Experience, and Usability
A2 - Wang, Wentao
A2 - Marcus, Aaron
PB - Springer Verlag
T2 - 6th International Conference on Design, User Experience, and Usability, DUXU 2017, held as part of the 19th International Conference on Human-Computer Interaction, HCI 2017
Y2 - 9 July 2017 through 14 July 2017
ER -