ACM Home Page
Please provide us with feedback. Feedback
UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits
Full text PdfPdf (1.91 MB)
Source
Conference on Human Factors in Computing Systems archive
Proceedings of the 27th international conference on Human factors in computing systems table of contents
Boston, MA, USA
SESSION: Sustainability 2 table of contents
Pages 1043-1052  
Year of Publication: 2009
ISBN:978-1-60558-246-7
Authors
Jon Froehlich  University of Washington, Seattle, WA, USA
Tawanna Dillahunt  Carnegie Mellon University, Pittsburgh, PA, USA
Predrag Klasnja  University of Washington, Seattle, WA, USA
Jennifer Mankoff  Carnegie Mellon University, Pittsburgh, PA, USA
Sunny Consolvo  Intel Research, Seattle, WA, USA
Beverly Harrison  Intel Research, Seattle, WA, USA
James A. Landay  University of Washington, Seattle, WA, USA
Sponsors
SIGCHI: ACM Special Interest Group on Computer-Human Interaction
ACM: Association for Computing Machinery
Publisher
ACM  New York, NY, USA
Bibliometrics
Downloads (6 Weeks): 67,   Downloads (12 Months): 287,   Citation Count: 1
Additional Information:

abstract   references   cited by   index terms   collaborative colleagues  

Tools and Actions: Request Permissions Request Permissions    Review this Article  
DOI Bookmark: Use this link to bookmark this Article: http://doi.acm.org/10.1145/1518701.1518861
What is a DOI?

ABSTRACT

The greatest contributor of CO2 emissions in the average American household is personal transportation. Because transportation is inherently a mobile activity, mobile devices are well suited to sense and provide feedback about these activities. In this paper, we explore the use of personal ambient displays on mobile phones to give users feedback about sensed and self-reported transportation behaviors. We first present results from a set of formative studies exploring our respondents' existing transportation routines, willingness to engage in and maintain green transportation behavior, and reactions to early mobile phone "green" application design concepts. We then describe the results of a 3-week field study (N=13) of the UbiGreen Transportation Display prototype, a mobile phone application that semi-automatically senses and reveals information about transportation behavior. Our contributions include a working system for semi-automatically tracking transit activity, a visual design capable of engaging users in the goal of increasing green transportation, and the results of our studies, which have implications for the design of future green applications.


REFERENCES

Note: OCR errors may be found in this Reference List extracted from the full text article. ACM has opted to expose the complete List rather than only correct and linked references.

 
1
Abrahamse, W., Steg, L., Vlek, C.,&Rothengatter, T. (2005). A review of intervention studies aimed at household energy conservation. J. of Environmental Psychology, 25:273--291.
 
2
Ampt, E. (2003). Understanding voluntary travel behavior change. 26th Australasian Transport Research Forum, 22.
 
3
Bin, S., Dowlatabadi, H., (2005). Consumer lifestyle approach to US energy use and the related CO2 emissions. Energy Policy, 33:197--208.
4
5
 
6
Carter, S., Mankoff, J., Klemmer, S. and Matthews, T. (2008). Exiting the cleanroom: On ecological validity and ubiquitous computing. HCI Journal 2008.
7
 
8
 
9
Consolvo, S., Harrison, B., Smith, I., Chen, M. Y., Everitt, K., Froehlich, J., Landay, J. (2007). Conducting in situ evaluations for and with ubiquitous computing technologies. IJHCI, 22(1-2):103--118.
10
 
11
Csikszentmihalyi, M. and Larson, R. (1987). Validity and reliability of the Experience Sampling Method. Journal of Nervous and Mental Disease, 175(9):526--536.
 
12
De Young, R. (2003). Expanding and Evaluating Motives for Environmentally Responsible Behavior. J. of Social Issues, 56(3):509--526.
 
13
Dillahunt, T., Becker, G., Mankoff, J. and Kraut, R. (2008). Motivating environmentally sustainable behavior changes with a virtual polar bear. Pervasive'08 Workshop on Pervasive Persuasive Technology and Environmental Sustainability.
 
14
Donath, J. (2004). Artificial Pets: Simple Behaviors Elicit Complex Attachments. In M. Bekoff (ed.), The Encyclopedia of Animal Behavior, Greenwood Press.
 
15
Fischer, C. (2008). Feedback on household electricity consumption: a tool for saving energy? Energy Efficiency 2008, 1:79--104
 
16
 
17
Frank, L. D., Saelens, B. E., Powell, K. E.&Chapman, J. E. (2007). Stepping towards causation: Do built environments or neighborhood and travel preferences explain physical activity, driving, and obesity? Social Science and Medicine 65:1898--1914
18
 
19
Froehlich, J. and Krumm, J. (2008). Route prediction from trip observations, Intelligent Vehicle Initiative (IVI) Technology Advanced Controls&Navigation Systems, SAE World Congress&Exhibition, Detroit, Michigan, April 14-17, 2008.
 
20
Hansen, J. (2006). The threat to the planet. New York Review of Books.
 
21
Higgins, E.T. Knowledge activation: Accessibility, applicability, and salience. Social psychology: Handbook of basic principles, Guilford Press, New York, 1996, 133--168.
 
22
Hu, P.S. and T.R. Reuscher. (2004). Summary of Travel Trends, 2001 National Household Travel Survey, U.S.F.H.A. U.S. Department of Transportation, Editor. 2004.
23
 
24
 
25
Myers, O.E. Jr., Saunders C.D. (2002). Animals as links toward developing caring relationships with the natural world. In Kahn and Kelert (eds). Children and Nature, 153--178.
 
26
Maibach, E. W. (2003). Recreating communities to support active living: A new role for social marketing. American Journal of Health Promotion 18(1):114--119.
 
27
 
28
Petersen, J. E, Shunturov, V., Janda, K., Platt, G.&Weinberger, K. (2005). Does providing dormitory residents with feedback on energy and water use lead to reduced consumption? Greening the Campus VI.
 
29
Saponas, T., Lester, J., Froehlich, J, Fogarty, J., Landay, J. 2008. iLearn on the iPhone: Real-Time Human Activity Classification on Commodity Mobile Phones. UW-CSE-08-04--02 Tech Report.
 
30
Sohn, T., et al. (2006). Mobility detection using everyday GSM traces. Ubicomp'06, 212--224.
 
31
Stasko, J., Mccolgin, D., Miller, T., Plaue, C.&Pousman, Z. (2005). Evaluating the InfoCanvas peripheral awareness system: A longitudinal, in situ study. Technical Report GIT-GVU-05-08
 
32
U.S. Department of Energy (2006) Annual Energy Review 2005. Energy Information Administration, Washington, DC DOE/EIA-0384.
 
33
Vining, J. (2003). The connection to other animals and caring for nature. Human Ecology Review, 10(2).
34
 
35
Weber, C. L.&Matthews, H. S. (2008). Quantifying the global&distributional aspects of American household carbon footprint. Ecological Economics. Elsevier, vol. 66(2-3), pp 379--391


Collaborative Colleagues:
Jon Froehlich: colleagues
Tawanna Dillahunt: colleagues
Predrag Klasnja: colleagues
Jennifer Mankoff: colleagues
Sunny Consolvo: colleagues
Beverly Harrison: colleagues
James A. Landay: colleagues