TY - JOUR
T1 - How users of a smartphone weather application are influenced by animated announcements conveying rainfall intensity and electronic gifts promoting rain evacuation
AU - Nakajima, Hiroko
AU - Shimazaki, Kan
AU - Ishigaki, Yang
AU - Miyajima, Akiko
AU - Kuriyama, Akira
AU - Iwanami, Koyuru
AU - Mitsukura, Yasue
N1 - Funding Information:
3-1 Tennodai, Tsukuba, Ibaraki 305-0006, Japan Brief Career: 2006-Assistant Fellow, Center for Environmental Risk Research, National Institute for Environmental Studies 2009-The Science and Technology Promotion Foundation of Ibaraki 2011-Japan Science and Technology Agency 2015-NIED Selected Publications: • Y. Ishigaki, H. Nakajima, and K. Shimazaki, “Observations and notification technology of sudden rainfall, Smart Water Sensing for Human Life Support,” Research Committee on Smart Water Sensing for Human Life Support (Ed.), “Smart Water Sensing for Human Life Support,” CMC Publishing Co., Ltd., pp.152-164, 2019. Academic Societies & Scientific Organizations: • Japan Society for Intellectual Production
Funding Information:
This work was supported by the Japan Science and Technology Agency Advanced Program for PROgram mAnager‘s Candidate Hub (APPROACH) program and Council for Science, Technology and Innovation, Cross-ministerial Strategic Innovation Promotion Program, “Enhancement of societal resiliency against natural disasters” (Funding agency: The Japan Science and Technology Agency).
Funding Information:
This work was supported by the Japan Science and Technology Agency Advanced Program for PROgram mAnager?s Candidate Hub (APPROACH) program and Council for Science, Technology and Innovation, Cross-ministerial Strategic Innovation Promotion Program, ?Enhancement of societal resiliency against natural disasters? (Funding agency: The Japan Science and Technology Agency).
Publisher Copyright:
© 2019, Fuji Technology Press. All rights reserved.
PY - 2019/12
Y1 - 2019/12
N2 - In this study, we assumed that animated announcements that conveyed rainfall intensity of localized heavy rain and the distribution of electronic gifts to encourage rain evacuation would promote evacuation actions. If evacuation actions could be promoted through these methods, then the transmission of weather information could be improved. Therefore, we modified the features of a weather information application for smartphones, which was already widely used, and conducted a demonstrative experiment with application users who agreed to participate in order to check the validity. We analyzed users’ behaviors by transmitting information regarding the predicted start time of rain and recording the Global Positioning System coordinates of the users’ smartphones. In addition, a questionnaire survey was administered to the users after the experiment to collect data on their conception of rainfall intensity. The participants were also interviewed. The results of the experiment showed a significant difference in user conception of rainfall intensity depending on whether they had viewed the animation. However, a behavior analysis based on location data showed no statistical bias in the relationship between the animation and rain evacuation behavior.
AB - In this study, we assumed that animated announcements that conveyed rainfall intensity of localized heavy rain and the distribution of electronic gifts to encourage rain evacuation would promote evacuation actions. If evacuation actions could be promoted through these methods, then the transmission of weather information could be improved. Therefore, we modified the features of a weather information application for smartphones, which was already widely used, and conducted a demonstrative experiment with application users who agreed to participate in order to check the validity. We analyzed users’ behaviors by transmitting information regarding the predicted start time of rain and recording the Global Positioning System coordinates of the users’ smartphones. In addition, a questionnaire survey was administered to the users after the experiment to collect data on their conception of rainfall intensity. The participants were also interviewed. The results of the experiment showed a significant difference in user conception of rainfall intensity depending on whether they had viewed the animation. However, a behavior analysis based on location data showed no statistical bias in the relationship between the animation and rain evacuation behavior.
KW - Behavioral intention
KW - Prediction information
KW - Rainfall intensity
KW - Reward
KW - Weather application
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U2 - 10.20965/jdr.2019.p1236
DO - 10.20965/jdr.2019.p1236
M3 - Article
AN - SCOPUS:85076357142
VL - 14
SP - 1236
EP - 1244
JO - Journal of Disaster Research
JF - Journal of Disaster Research
SN - 1881-2473
IS - 9
ER -