Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study

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Abstract

The study of human behavior is inherently complex. A wide range of social - psychological behavior models identify external elements as on
e of the factors influencing human behavior. Consequently, researchers require methods to study behavior within its real-life environment, capturing external factors that influence the behavior.
Today’s new technologies and their large-scale deployment offer new opportunities to implement these methods. In this paper, context-aware experience sampling is presented as a method to study human behavior in its context and capture the influence of external factors. This method, part of a behavior change research methodology, is first explained and consequently demonstrated by means of a case study in a large-scale IoT living lab for smart city services in Antwerp (Belgium).
Original languageEnglish
Title of host publicationMeasuring Behavior 2018
Subtitle of host publication11th International Conference on Methods and Techniques in Behavioral Research
EditorsRobyn Grant, Tom Allen, Andrew Spink, Matthew Sullivan
Place of PublicationManchester, UK
Pages323-329
Number of pages7
ISBN (Electronic)978-1-910029-39-8
Publication statusPublished - Jun 2018

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