UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits

By Jon E. Froehlich, Tawanna R. Dillahunt, Predrag V. Klasnja, Jennifer Mankoff, Sunny Consolvo, Beverly L. Harrison, James A. Landay. International Conference on Human Factors in Computing Systems, 2009

678 citations recorded by the source corpus.

Subfields: Management, Monitoring, Policy and Law, Transportation, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/fc3cbcf95b137ffdf8cb236a9af1248e30e96d7c

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In Management, Monitoring, Policy and Law

In Transportation

In Human-Computer Interaction

Citations in the corpus

Sustainably unpersuaded: how persuasion narrows our vision of sustainability (2012, background): “, whether the user is driving a car, walking, biking, or riding a bus [20].”
One size does not fit all: applying the transtheoretical model to energy feedback technology design (2010, methodology): “Positive Reinforcement, Emotional Persuasion (through the ELM) & Values: ‘Ubigreen’[24] (Figure 3, top right) employs these techniques.”
Exploring goal-setting, rewards, self-monitoring, and sharing to motivate physical activity (2012, background): “, [9]) but were not characteristics of the trophies and ribbons in GoalPost/GoalLine.”
Personal Visualization and Personal Visual Analytics (2015, background): “…Amount of effort that is expended in data collection none Online search history [6] sensor Nonobtrusive sensing devices, e.g, wearable sensors [31] manual Manual logging pictures and annotations [62] mixed Combination of sensor recording and manual input [58] Data Agency The degree of…”
Mapping the landscape of sustainable HCI (2010, background): “Unsurprisingly, given that a major activity of HCI researchers is building technologies, many of the papers in our corpus focus on technological solutions to the problems of sustainability, for example by improving the material design of technologies [36], encouraging sustainable behavior [28], or i”
HCI and environmental sustainability: the politics of design and the design of politics (2010, background): “…for distributed pollution monitoring [40]; explorations of tools that might help people understand the impacts of their purchase decisions [54], transit decisions [21, 33], or domestic energy use [43]; and investigations of the role that sustainability might play in design practice itself [7, 24].”
The design of eco-feedback technology (2010, background): “Eco-feedback designs may not be able to offer financial incentives, but most certainly can rely on game-like reward elements (e.g., points, levels, etc.) to promote behaviors (e.g., see [4] or elements of [19]).”
Using mobile phones to determine transportation modes (2010, background): “Examples include our Personal Environment Impact Report (PEIR) and UbiGreen [Mun et al. 2009b; Agapie et al. 2008; Froehlich et al. 2009] along with commercial offerings such as Ecorio and Carbon Diem [CarbonHero 2008; Kao et al.”
Toolkit to support intelligibility in context-aware applications (2010, background): “They are popular in the following domains: activity recognition ( e.g. , [41]), adaptation / personalization ( e.g. , [40]), awareness / monitoring ( e.g. , [12]), reminders ( e.g. , [6]), location guides ( e.g. , [31]), and persuasion ( e.g. , [16]).”
Why we use and abandon smart devices (2015, background): “Researchers have explored smart devices for purposes as diverse as encouraging more environmentally friendly behavior (e.g. [10]) and for home surveillance (e.g. [24]).”
GreenGPS: a participatory sensing fuel-efficient maps application (2010, background): “UbiGreen [16] is a mobile tool that tracks an individual’s personal transportation and provides feedback regarding their CO2 emissions.”
Accelerometer-based transportation mode detection on smartphones (2013, background): “Persuasive applications could use the transportation behavior monitoring to automatically calculate, for example, CO2-footprint or level of physical activity [9].”
How smart is your smartcard?: measuring travel behaviours, perceptions, and incentives (2011, background): “Our work is also part of a growing literature on voluntary behavioural change relating to public transport usage [23], including mobile-based solutions that visually represent the sustainability of travellers’ choices [2, 24].”