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Publication
Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study
Book Contribution - Book Chapter Conference Contribution
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).
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).
Book: Measuring Behavior 2018
Pages: 323-329
Number of pages: 7
Publication year:2018
Accessibility:Open