Abstract
All Weather conditions affect human behaviors and the growing number of Mobile Weather Applications (MWAs) has amplified this effect. Yet, little is known about how human seek to actively control their behavior by appropriating mobile technology to anticipate changing weather conditions. Guided by Anticipatory Behavioral Control Theory (ABCT), this study endeavors to bride the abovementioned knowledge gap by investigating how the interface design and usage of MWAs would impact the relationship between abnormal weather conditions and users’ movement patterns. From analyzing panel data collected on the hourly movement trajectories of over 1.95 million anonymous mobile phone users over a 2-month period, we strive to shed light on the moderating influence of content representation and usage intensity of MWAs on the relationship between weather conditions and human behaviors.
Original language | English |
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Title of host publication | PACIS 2018 Proceedings |
Editors | Motonari Tanabu, Dai Senoo |
Number of pages | 8 |
Place of Publication | Atlanta, GA |
Publisher | Association for Information Systems. AIS Electronic Library (AISeL) |
Publication date | 2018 |
Article number | 231 |
ISBN (Electronic) | 9784902590838 |
Publication status | Published - 2018 |
Event | The 22nd Pacific Asia Conference on Information Systems. PACIS 2018 - Yokohama Royal Park Hotel, Yokohama, Japan Duration: 26 Jun 2018 → 30 Jun 2018 Conference number: 22 http://pacis2018.org/ |
Conference
Conference | The 22nd Pacific Asia Conference on Information Systems. PACIS 2018 |
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Number | 22 |
Location | Yokohama Royal Park Hotel |
Country/Territory | Japan |
City | Yokohama |
Period | 26/06/2018 → 30/06/2018 |
Sponsor | Association for Information Systems |
Internet address |
Keywords
- Weather forecast
- Movement pattern
- Anticipatory behavioral control
- Mobile weather applications