research-article

An end-user interface for behaviour change intervention development

Authors:

Daniel Rough,

Aaron QuigleyAuthors Info & Claims

AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces

Pages 377 - 378

https://doi.org/10.1145/2598153.2600031

Published: 27 May 2014 Publication History

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Abstract

Traditional behaviour change interventions are typically delivered with a fixed set of components, providing identical content to all participants in a trial. The disregard of personal differences often leads to weak effects and inconclusive results. Tools are required that let researchers identify effective components for specific users and contexts. This paper presents a system design incorporating user models and a visual programming language to allow end-users with varying technical expertise to develop tailored interventions using feedback from a series of visual and non-visual interfaces.

References

[1]

Bostock, M., Ogievetsky, V., and Heer, J. D³ Data-Driven Documents. IEEE Trans. Vis. Comput. Graphics 17, 12 (Dec. 2011), 2301--9.

Digital Library

Google Scholar

[2]

Brandes, O. Tersus visual programming platform. In Symp. VL/HCC 2011, IEEE (Sept. 2011), 245--246.

Crossref

Google Scholar

[3]

Collins, L. M., Murphy, S. A., Nair, V. N., and Strecher, V. J. A strategy for optimizing and evaluating behavioral interventions. Annals of Behavioral Medicine 30, 1 (2005), 65--73.

Crossref

Google Scholar

[4]

Hall, M., Frank, E., Holmes, G., Pfahringer, B., Reutemann, P., and Witten, I. H. The WEKA data mining software. ACM SIGKDD Explorations Newsletter 11, 1 (Nov. 2009), 10--18.

Digital Library

Google Scholar

[5]

Klasnja, P., Consolvo, S., and Pratt, W. How to evaluate technologies for health behavior change in HCI research. In Proc. CHI 2011, ACM (New York, NY, USA, 2011), 3063--3072.

Digital Library

Google Scholar

[6]

Lathia, N., Rachuri, K. K., Mascolo, C., and Rentfrow, P. J. Contextual dissonance. In Proc. Ubicomp 2013, ACM Press (New York, NY, USA, Sept. 2013), 183--192.

Digital Library

Google Scholar

[7]

Michie, S., Ashford, S., Sniehotta, F. F., Dombrowski, S. U., Bishop, A., and French, D. P. A refined taxonomy of behaviour change techniques to help people change their physical activity and healthy eating behaviours: the CALO-RE taxonomy. Psychology & Health 26, 11 (2011), 1479--1498.

Crossref

Google Scholar

Index Terms

An end-user interface for behaviour change intervention development
1. Applied computing
  1. Law, social and behavioral sciences
    1. Psychology
2. Software and its engineering
  1. Software notations and tools
    1. Development frameworks and environments
      1. Integrated and visual development environments

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Published In

AVI '14: Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces

May 2014

438 pages

ISBN:9781450327756

DOI:10.1145/2598153

General Chair:
Paolo Paolini
Politecnico di Milano (Italy)
,
Program Chair:
Franca Garzotto
Politecnico di Milano (Italy)

Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

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Published: 27 May 2014

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AVI' 14

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Centro Cultura Volta
Politecnico di Milano

AVI' 14: International Working Conference on Advanced Visual Interfaces

May 27 - 29, 2014

Como, Italy

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AVI '14 Paper Acceptance Rate 32 of 112 submissions, 29%;

Overall Acceptance Rate 128 of 490 submissions, 26%

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Using Data Mining to Refine Digital Behaviour Change Interventions

mHealth intervention design: creating mHealth interventions for behaviour change

A reflective characterisation of occasional user

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Recommendations

Using Data Mining to Refine Digital Behaviour Change Interventions

mHealth intervention design: creating mHealth interventions for behaviour change

A reflective characterisation of occasional user

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