Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays

By Sunny Consolvo, Predrag V. Klasnja, David W. Mcdonald, Daniel Avrahami, Jon E. Froehlich, Louis Legrand, R. Libby, K. Mosher, James A. Landay. Ubiquitous Computing, 2008

503 citations recorded by the source corpus.

Subfields: Electrical and Electronic Engineering, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/343e3ac0623c21ce1a82a35eee3021c037a427ad

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In Electrical and Electronic Engineering

In Human-Computer Interaction

Citations in the corpus

Mind the theoretical gap: interpreting, using, and developing behavioral theory in HCI research (2013, methodology): “Among others, Consolvo et al. [1 2 ,14] have used the transtheoretical model to screen out pre-contemplation individuals from their studies of technologies for physical activity promotion under the assumption that such tools would not be helpful to someone who has no interest in becoming more…”
Theory-driven design strategies for technologies that support behavior change in everyday life (2009, background): “For more detail, including a discussion of the statistically significant findings, please see [4].”
Persuasive technology in the real world: a study of long-term use of activity sensing devices for fitness (2014, background): “The most prominent example is UbiFit, which combined activity sensing with a glanceable visualization of activity [7, 9].”
An Overview of Serious Games (2014, background): “Most research agrees that digital serious games contain different media, which can be a combination of text, graphics [29], animations [30], audio [31], haptics [27, 32], and so forth.”
Healthcare in the Pocket: Mapping the Space of Mobile-Phone Health Interventions (2011, unknown): “UbiFit [8] [28] uses the Mobile Sensing Platform [45], a pager-sized wearable sensing device , to automatically detect walking, running, biking, using a stair machine, and using an elliptical trainer.”
Personal Visualization and Personal Visual Analytics (2015, methodology): “To reduce redundancy while discussing the design dimensions (Table 1), when more than one paper was based on the same visualization tool we refer only to their latest version of the tool (thus the following seven were removed: [13], [17], [19], [27], [46], [47], [48]).”
Increasing Physical Activity With Mobile Devices: A Meta-Analysis (2012, background): “In the event that this information could not be obtained, the effect was excluded from analysis (n = 3 [20-22]).”
Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity (2012, methodology): “Users of UbiFit, a mobile phone application to motivate physical activity, set their own primary and alternate weekly physical goals, then chose to work toward their primary or alternate goal each week [3,6].”
How to evaluate technologies for health behavior change in HCI research (2011, background): “HCI researchers have developed systems for encouraging physical activity [2,7,8,24], healthy diet [12,17,23], glycemic control in diabetes [26,39], and self-regulation of emotions [31].”