TY - GEN
T1 - Design for Beach Life-Saving Service System Based on the Safety Requirements of Tourists
AU - Niu, Siran
AU - Qiao, Ruoxin
AU - Yang, Yuling
AU - Wu, Yue
AU - Zhang, Shuhan
AU - Chen, Yun
N1 - Publisher Copyright:
© The Author(s), under exclusive license to Springer Nature Switzerland AG 2025.
PY - 2025
Y1 - 2025
N2 - An increased risk of drowning incidents has accompanied the rise of beach tourism. Current life-saving services primarily rely on manual patrols, which face challenges such as attention decline and limited rescue efficiency. This study takes beach scenic area drowning prevention and life-saving services as entry points. User research was employed based on the KJ method and KANO model to analyze tourist requirements, guiding the construction of a beach life-saving service system comprising wearable devices, aquatic unmanned rescue vehicles, and service base stations. The system’s effectiveness was verified through the Fuzzy Comprehensive Evaluation (FCE). This research focuses on tourists’ needs, experiences, and initiatives in beach rescue scenarios while promoting the development of human-machine collaborative rescue models through systematic product system construction. The study provides new insights for optimizing beach rescue services.
AB - An increased risk of drowning incidents has accompanied the rise of beach tourism. Current life-saving services primarily rely on manual patrols, which face challenges such as attention decline and limited rescue efficiency. This study takes beach scenic area drowning prevention and life-saving services as entry points. User research was employed based on the KJ method and KANO model to analyze tourist requirements, guiding the construction of a beach life-saving service system comprising wearable devices, aquatic unmanned rescue vehicles, and service base stations. The system’s effectiveness was verified through the Fuzzy Comprehensive Evaluation (FCE). This research focuses on tourists’ needs, experiences, and initiatives in beach rescue scenarios while promoting the development of human-machine collaborative rescue models through systematic product system construction. The study provides new insights for optimizing beach rescue services.
KW - Health and DUXU
KW - KANO model
KW - Safety and life-saving
KW - Service design
UR - http://www.scopus.com/inward/record.url?scp=105008670711&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-94165-8_37
DO - 10.1007/978-3-031-94165-8_37
M3 - Conference contribution
AN - SCOPUS:105008670711
SN - 9783031941641
T3 - Communications in Computer and Information Science
SP - 347
EP - 356
BT - HCI International 2025 Posters - 27th International Conference on Human-Computer Interaction, HCII 2025, Proceedings
A2 - Stephanidis, Constantine
A2 - Antona, Margherita
A2 - Ntoa, Stavroula
A2 - Salvendy, Gavriel
PB - Springer Science and Business Media Deutschland GmbH
T2 - 27th International Conference on Human-Computer Interaction, HCII 2025
Y2 - 22 June 2025 through 27 June 2025
ER -