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

Annelien Smets; Bram Lievens; Ruben D'Hauwers

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

Annelien Smets, Bram Lievens, Ruben D'Hauwers

Communication Sciences

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

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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 language	English
Title of host publication	Measuring Behavior 2018
Subtitle of host publication	11th International Conference on Methods and Techniques in Behavioral Research
Editors	Robyn Grant, Tom Allen, Andrew Spink, Matthew Sullivan
Place of Publication	Manchester, UK
Pages	323-329
Number of pages	7
ISBN (Electronic)	978-1-910029-39-8
Publication status	Published - Jun 2018

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Context-aware experience sampling method to understand human behavior.
Annelien Smets (Speaker)
6 Jun 2018
Activity: Talk or presentation › Talk or presentation at a conference

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Smets, A., Lievens, B., & D'Hauwers, R. (2018). Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study. In R. Grant, T. Allen, A. Spink, & M. Sullivan (Eds.), Measuring Behavior 2018: 11th International Conference on Methods and Techniques in Behavioral Research (pp. 323-329). https://www.measuringbehavior.org/files/2018/MB2018%20Proceedings.pdf

@inproceedings{8cc78a62fb3042b5a609a8fc39953e81,

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

abstract = "The study of human behavior is inherently complex. A wide range of social - psychological behavior models identify external elements as one 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{\textquoteright}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). ",

author = "Annelien Smets and Bram Lievens and Ruben D'Hauwers",

year = "2018",

month = jun,

language = "English",

pages = "323--329",

editor = "Robyn Grant and Tom Allen and Andrew Spink and Matthew Sullivan",

booktitle = "Measuring Behavior 2018",

}

Smets, A , Lievens, B & D'Hauwers, R 2018, Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study. in R Grant, T Allen, A Spink & M Sullivan (eds), Measuring Behavior 2018: 11th International Conference on Methods and Techniques in Behavioral Research. Manchester, UK, pp. 323-329. <https://www.measuringbehavior.org/files/2018/MB2018%20Proceedings.pdf>

Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study. / Smets, Annelien ; Lievens, Bram ; D'Hauwers, Ruben.
Measuring Behavior 2018: 11th International Conference on Methods and Techniques in Behavioral Research. ed. / Robyn Grant; Tom Allen; Andrew Spink; Matthew Sullivan. Manchester, UK, 2018. p. 323-329.

Research output: Chapter in Book/Report/Conference proceeding › Conference paper

TY - GEN

T1 - Context-Aware Experience Sampling Method to Understand Human Behavior in a Smart City: a Case Study

AU - Smets, Annelien

AU - Lievens, Bram

AU - D'Hauwers, Ruben

PY - 2018/6

Y1 - 2018/6

N2 - The study of human behavior is inherently complex. A wide range of social - psychological behavior models identify external elements as one 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).

AB - The study of human behavior is inherently complex. A wide range of social - psychological behavior models identify external elements as one 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).

M3 - Conference paper

SP - 323

EP - 329

BT - Measuring Behavior 2018

A2 - Grant, Robyn

A2 - Allen, Tom

A2 - Spink, Andrew

A2 - Sullivan, Matthew

CY - Manchester, UK

ER -

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

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Context-aware experience sampling method to understand human behavior.

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