Come Rain and Shine?

Exploring the Effects of Mobile Weather Applications on Users’ Movements

Bingqing Xiong, Na Jiang, Mengyao Fu, Jian Yao, Chee-Wee Tan, Eric T. K. Lim, Weiquan Wang, Jianfeng Gu

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

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 languageEnglish
Title of host publicationPACIS 2018 Proceedings
EditorsMotonari Tanabu, Dai Senoo
Number of pages8
Place of PublicationAtlanta, GA
PublisherAssociation for Information Systems. AIS Electronic Library (AISeL)
Publication date2018
Article number231
Publication statusPublished - 2018
EventThe 22nd Pacific Asia Conference on Information Systems. PACIS 2018 - Yokohama Royal Park Hotel, Yokohama, Japan
Duration: 26 Jun 201830 Jun 2018
Conference number: 22
http://pacis2018.org/

Conference

ConferenceThe 22nd Pacific Asia Conference on Information Systems. PACIS 2018
Number22
LocationYokohama Royal Park Hotel
CountryJapan
CityYokohama
Period26/06/201830/06/2018
SponsorAssociation for Information Systems
Internet address

Keywords

  • Weather forecast
  • Movement pattern
  • Anticipatory behavioral control
  • Mobile weather applications

Cite this

Xiong, B., Jiang, N., Fu, M., Yao, J., Tan, C-W., Lim, E. T. K., ... Gu, J. (2018). Come Rain and Shine? Exploring the Effects of Mobile Weather Applications on Users’ Movements. In M. Tanabu, & D. Senoo (Eds.), PACIS 2018 Proceedings [231] Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL).
Xiong, Bingqing ; Jiang, Na ; Fu, Mengyao ; Yao, Jian ; Tan, Chee-Wee ; Lim, Eric T. K. ; Wang, Weiquan ; Gu, Jianfeng. / Come Rain and Shine? Exploring the Effects of Mobile Weather Applications on Users’ Movements. PACIS 2018 Proceedings. editor / Motonari Tanabu ; Dai Senoo. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2018.
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title = "Come Rain and Shine?: Exploring the Effects of Mobile Weather Applications on Users’ Movements",
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.",
keywords = "Weather forecast, Movement pattern, Anticipatory behavioral control, Mobile weather applications, Weather forecast, Movement pattern, Anticipatory behavioral control, Mobile weather applications",
author = "Bingqing Xiong and Na Jiang and Mengyao Fu and Jian Yao and Chee-Wee Tan and Lim, {Eric T. K.} and Weiquan Wang and Jianfeng Gu",
year = "2018",
language = "English",
editor = "Motonari Tanabu and Dai Senoo",
booktitle = "PACIS 2018 Proceedings",
publisher = "Association for Information Systems. AIS Electronic Library (AISeL)",

}

Xiong, B, Jiang, N, Fu, M, Yao, J, Tan, C-W, Lim, ETK, Wang, W & Gu, J 2018, Come Rain and Shine? Exploring the Effects of Mobile Weather Applications on Users’ Movements. in M Tanabu & D Senoo (eds), PACIS 2018 Proceedings., 231, Association for Information Systems. AIS Electronic Library (AISeL), Atlanta, GA, Yokohama, Japan, 26/06/2018.

Come Rain and Shine? Exploring the Effects of Mobile Weather Applications on Users’ Movements. / Xiong, Bingqing; Jiang, Na; Fu, Mengyao; Yao, Jian; Tan, Chee-Wee; Lim, Eric T. K.; Wang, Weiquan; Gu, Jianfeng.

PACIS 2018 Proceedings. ed. / Motonari Tanabu; Dai Senoo. Atlanta, GA : Association for Information Systems. AIS Electronic Library (AISeL), 2018. 231.

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

TY - GEN

T1 - Come Rain and Shine?

T2 - Exploring the Effects of Mobile Weather Applications on Users’ Movements

AU - Xiong, Bingqing

AU - Jiang, Na

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AU - Tan, Chee-Wee

AU - Lim, Eric T. K.

AU - Wang, Weiquan

AU - Gu, Jianfeng

PY - 2018

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N2 - 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.

AB - 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.

KW - Weather forecast

KW - Movement pattern

KW - Anticipatory behavioral control

KW - Mobile weather applications

KW - Weather forecast

KW - Movement pattern

KW - Anticipatory behavioral control

KW - Mobile weather applications

M3 - Article in proceedings

BT - PACIS 2018 Proceedings

A2 - Tanabu, Motonari

A2 - Senoo, Dai

PB - Association for Information Systems. AIS Electronic Library (AISeL)

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ER -

Xiong B, Jiang N, Fu M, Yao J, Tan C-W, Lim ETK et al. Come Rain and Shine? Exploring the Effects of Mobile Weather Applications on Users’ Movements. In Tanabu M, Senoo D, editors, PACIS 2018 Proceedings. Atlanta, GA: Association for Information Systems. AIS Electronic Library (AISeL). 2018. 231