Theory-driven design strategies for technologies that support behavior change in everyday life

By Sunny Consolvo, David W. Mcdonald, James A. Landay. International Conference on Human Factors in Computing Systems, 2009

625 citations recorded by the source corpus.

Subfields: Applied Psychology, Sociology and Political Science, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/cb3a46251f02a6e1c2663ee50a3fadb8cbe92c51

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Citations in the corpus

Major life changes and behavioral markers in social media: case of childbirth (2013, background): “the HCI [7] and social media communities [9,14].”
Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research (2013, methodology): “We will use the term design guidelines to refer to the principles formulated by HCI researchers to make behavioral theory and empirical findings actionable for designing behavior change technologies ( e.g., [12, 15]).”
"I regretted the minute I pressed share": a qualitative study of regrets on Facebook (2011, background): “, for encouraging physical wellness [15]) and behavioral economics (e.”
Personal Visualization and Personal Visual Analytics (2015, methodology): “Techniques included clustering or classification [2], [3], [18], [31], [32], [65], layout optimization [2], [24], [75], text analy-”
Building health behavior models to guide the development of just-in-time adaptive interventions: A pragmatic framework (2015, background): “For example, Consolvo, McDonald, and Landay (2009) generated eight guidelines (e.g., abstract and reflective, unobtrusive) to guide the design of support for real-world use.”
Personalizing persuasive technologies: Explicit and implicit personalization using persuasion profiles (2015, background): “…and Velicer, 1997; Long and Stevens, 2004), and the theories of reasoned action and its follow up, the theory of planned behavior (see, e.g., Madden et al.,1992; Fishbein and Ajzen, 2011), have gained large support and are used actively by designers (see for example Consolvo et al., 2009).”
Realizing the Potential of Behavioral Intervention Technologies (2013, background): “It is also important to ensure BITs accurately collect and provide relevant data, because users are likely to become discouraged if their efforts at behavior change are not captured and acknowledged (Consolvo et al., 2009).”