extended-abstract

Lessons Learned for Data-Driven Implementation Intentions with Mental Contrasting

Authors:

Yasaman S. Sefidgar,

Matthew Jörke,

Mary P CzerwinskiAuthors Info & Claims

CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

Article No.: 390, Pages 1 - 7

https://doi.org/10.1145/3544549.3573851

Published: 19 April 2023 Publication History

Abstract

Goal setting and realization are important but challenging. These challenges can be mitigated through effective application of behavior change realization techniques such as implementation intention and mental contrasting (IIMC). IIMC relies on identifying situations compromising desired behavior (i.e., obstacles) and creating action plans to handle those situations (i.e., identifying what, when, and where of actions to prevent or overcome the obstacles). We explore ways historical personal data can enhance the efficacy of IIMC application in the context of improving work-nonwork balance in a probing study with 16 information workers at a large technology company. We share lessons learned from this study that can help designers in further supporting goal realization with data, guide researchers interested in more formal studies of IIMC, and point the research community to important areas of future work on data-driven IIMC, particularly in the work context (e.g., the social dimensions of sense-making and planning).

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Cited By

Xu KYan XRyu MNewman MArriaga R(2024)Understanding the Effect of Reflective Iteration on Individuals’ Physical Activity PlanningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641937(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641937
Sefidgar Y(2023)Tools to Support Health and Well-being with Personal DataCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3608925(455-458)Online publication date: 14-Oct-2023
https://dl.acm.org/doi/10.1145/3584931.3608925

Index Terms

Lessons Learned for Data-Driven Implementation Intentions with Mental Contrasting
1. Human-centered computing
  1. Collaborative and social computing
2. Social and professional topics
  1. Professional topics
    1. Computing and business

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Information

Published In

cover image ACM Conferences

CHI EA '23: Extended Abstracts of the 2023 CHI Conference on Human Factors in Computing Systems

April 2023

3914 pages

ISBN:9781450394222

DOI:10.1145/3544549

Editors:
Albrecht Schmidt
LMU Munich, Germany
,
Kaisa Väänänen
Tampere University, Finland
,
Tesh Goyal
Google Research, USA
,
Per Ola Kristensson
University of Cambridge, UK
,
Anicia Peters
University of Namibia, Namibia

Copyright © 2023 Owner/Author.

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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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

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Publication History

Published: 19 April 2023

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Extended-abstract
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CHI '23

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SIGCHI

CHI '23: CHI Conference on Human Factors in Computing Systems

April 23 - 28, 2023

Hamburg, Germany

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Cited By

Xu KYan XRyu MNewman MArriaga R(2024)Understanding the Effect of Reflective Iteration on Individuals’ Physical Activity PlanningProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641937(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641937
Sefidgar Y(2023)Tools to Support Health and Well-being with Personal DataCompanion Publication of the 2023 Conference on Computer Supported Cooperative Work and Social Computing10.1145/3584931.3608925(455-458)Online publication date: 14-Oct-2023
https://dl.acm.org/doi/10.1145/3584931.3608925

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