Understanding individual differences for tailored smoking cessation apps

Jeni Paay; Jesper Kjeldskov; Mikael B. Skov; Lars Lichon; Stephan Rasmussen

doi:10.1145/2702123.2702321

Understanding individual differences for tailored smoking cessation apps

Jeni Paay, Jesper Kjeldskov, Mikael B. Skov, Lars Lichon, Stephan Rasmussen

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

35 Citations (Scopus)

Abstract

Finding ways to help people quit smoking is a high priority in health behavior change research. Recent HCI studies involving technologies using specific quitting techniques such as social support and SMS messaging to help people quit have reported some success. Early studies using computer generated print material report significant success of tailored versus non-tailored material, however, there is limited understanding on what aspects of digitally delivered quitting assistance should be tailored and how. To address this, we have conducted an empirical investigation with smokers to identify perceived importance of different types of help when quitting and the potential role of technology in providing such help. We found that people are highly individual in their approach to quitting and the kind of help they regard as relevant to their situation. Our contribution is a collection of empirically derived themes for tailoring smoking cessation apps to individual quitting needs.

Original language	English
Title of host publication	CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems
Subtitle of host publication	Crossings
Publisher	Association for Computing Machinery (ACM)
Pages	1699-1708
Number of pages	10
ISBN (Electronic)	9781450331456
DOIs	https://doi.org/10.1145/2702123.2702321
Publication status	Published - 2015
Externally published	Yes
Event	International Conference on Human Factors in Computing Systems 2015 - Seoul, Korea, South Duration: 18 Apr 2015 → 23 Apr 2015 Conference number: 33rd https://chi2015.acm.org/ https://dl.acm.org/doi/proceedings/10.1145/2702123 (Proceedings)

Publication series

Name	Conference on Human Factors in Computing Systems - Proceedings
Volume	2015-April

Conference

Conference	International Conference on Human Factors in Computing Systems 2015
Abbreviated title	CHI 2015
Country/Territory	Korea, South
City	Seoul
Period	18/04/15 → 23/04/15
Internet address	https://chi2015.acm.org/ https://dl.acm.org/doi/proceedings/10.1145/2702123 (Proceedings)

Keywords

Health behavior change
Individual differences
Qualitative research
Smoking cessation
Tailoring

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1145/2702123.2702321

Cite this

Paay, J., Kjeldskov, J., Skov, M. B., Lichon, L., & Rasmussen, S. (2015). Understanding individual differences for tailored smoking cessation apps. In CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings (pp. 1699-1708). (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2015-April). Association for Computing Machinery (ACM). https://doi.org/10.1145/2702123.2702321

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title = "Understanding individual differences for tailored smoking cessation apps",

abstract = "Finding ways to help people quit smoking is a high priority in health behavior change research. Recent HCI studies involving technologies using specific quitting techniques such as social support and SMS messaging to help people quit have reported some success. Early studies using computer generated print material report significant success of tailored versus non-tailored material, however, there is limited understanding on what aspects of digitally delivered quitting assistance should be tailored and how. To address this, we have conducted an empirical investigation with smokers to identify perceived importance of different types of help when quitting and the potential role of technology in providing such help. We found that people are highly individual in their approach to quitting and the kind of help they regard as relevant to their situation. Our contribution is a collection of empirically derived themes for tailoring smoking cessation apps to individual quitting needs.",

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author = "Jeni Paay and Jesper Kjeldskov and Skov, {Mikael B.} and Lars Lichon and Stephan Rasmussen",

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language = "English",

series = "Conference on Human Factors in Computing Systems - Proceedings",

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booktitle = "CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems",

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Paay, J, Kjeldskov, J, Skov, MB, Lichon, L & Rasmussen, S 2015, Understanding individual differences for tailored smoking cessation apps. in CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. Conference on Human Factors in Computing Systems - Proceedings, vol. 2015-April, Association for Computing Machinery (ACM), pp. 1699-1708, International Conference on Human Factors in Computing Systems 2015, Seoul, Korea, South, 18/04/15. https://doi.org/10.1145/2702123.2702321

Understanding individual differences for tailored smoking cessation apps. / Paay, Jeni; Kjeldskov, Jesper; Skov, Mikael B. et al.
CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. Association for Computing Machinery (ACM), 2015. p. 1699-1708 (Conference on Human Factors in Computing Systems - Proceedings; Vol. 2015-April).

Research output: Chapter in Book/Report/Conference proceeding › Conference Paper › Research › peer-review

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T1 - Understanding individual differences for tailored smoking cessation apps

AU - Paay, Jeni

AU - Kjeldskov, Jesper

AU - Skov, Mikael B.

AU - Lichon, Lars

AU - Rasmussen, Stephan

N1 - Conference code: 33rd

PY - 2015

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N2 - Finding ways to help people quit smoking is a high priority in health behavior change research. Recent HCI studies involving technologies using specific quitting techniques such as social support and SMS messaging to help people quit have reported some success. Early studies using computer generated print material report significant success of tailored versus non-tailored material, however, there is limited understanding on what aspects of digitally delivered quitting assistance should be tailored and how. To address this, we have conducted an empirical investigation with smokers to identify perceived importance of different types of help when quitting and the potential role of technology in providing such help. We found that people are highly individual in their approach to quitting and the kind of help they regard as relevant to their situation. Our contribution is a collection of empirically derived themes for tailoring smoking cessation apps to individual quitting needs.

AB - Finding ways to help people quit smoking is a high priority in health behavior change research. Recent HCI studies involving technologies using specific quitting techniques such as social support and SMS messaging to help people quit have reported some success. Early studies using computer generated print material report significant success of tailored versus non-tailored material, however, there is limited understanding on what aspects of digitally delivered quitting assistance should be tailored and how. To address this, we have conducted an empirical investigation with smokers to identify perceived importance of different types of help when quitting and the potential role of technology in providing such help. We found that people are highly individual in their approach to quitting and the kind of help they regard as relevant to their situation. Our contribution is a collection of empirically derived themes for tailoring smoking cessation apps to individual quitting needs.

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Paay J, Kjeldskov J, Skov MB, Lichon L, Rasmussen S. Understanding individual differences for tailored smoking cessation apps. In CHI 2015 - Proceedings of the 33rd Annual CHI Conference on Human Factors in Computing Systems: Crossings. Association for Computing Machinery (ACM). 2015. p. 1699-1708. (Conference on Human Factors in Computing Systems - Proceedings). doi: 10.1145/2702123.2702321

Understanding individual differences for tailored smoking cessation apps

Abstract

Publication series

Conference

Keywords

UN SDGs

Access to Document

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