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Jon Froehlich

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Publications by Jon Froehlich (bibliography)

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» 2009 «

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Froehlich, Jon, Dillahunt, Tawanna, Klasnja, Predrag, Mankoff, Jennifer, Consolvo, Sunny, Harrison, Beverly and Landay, James A. (2009): UbiGreen: investigating a mobile tool for tracking and supporting green transportation habits. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1043-1052. Available online

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.

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» 2008 «

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Consolvo, Sunny, McDonald, David W., Toscos, Tammy, Chen, Mike Y., Froehlich, Jon, Harrison, Beverly L., Klasnja, Predrag, LaMarca, Anthony, LeGrand, Louis, Libby, Ryan, Smith, Ian and Landay, James A. (2008): Activity sensing in the wild: a field trial of ubifit garden. In: Proceedings of ACM CHI 2008 Conference on Human Factors in Computing Systems April 5-10, 2008. pp. 1797-1806. Available online

Recent advances in small inexpensive sensors, low-power processing, and activity modeling have enabled applications that use on-body sensing and machine learning to infer people's activities throughout everyday life. To address the growing rate of sedentary lifestyles, we have developed a system, UbiFit Garden, which uses these technologies and a personal, mobile display to encourage physical activity. We conducted a 3-week field trial in which 12 participants used the system and report findings focusing on their experiences with the sensing and activity inference. We discuss key implications for systems that use on-body sensing and activity inference to encourage physical activity.

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Consolvo, Sunny, Klasnja, Predrag V., McDonald, David W., Avrahami, Daniel, Froehlich, Jon, LeGrand, Louis, Libby, Ryan, Mosher, Keith and Landay, James A. (2008): Flowers or a robot army?: encouraging awareness & activity with personal, mobile displays. In: Youn, Hee Yong and Cho, We-Duke (eds.) UbiComp 2008 Ubiquitous Computing - 10th International Conference September 21-24, 2008, Seoul, Korea. pp. 54-63. Available online

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Klasnja, Predrag V., Harrison, Beverly L., LeGrand, Louis, LaMarca, Anthony, Froehlich, Jon and Hudson, Scott E. (2008): Using wearable sensors and real time inference to understand human recall of routine activities. In: Youn, Hee Yong and Cho, We-Duke (eds.) UbiComp 2008 Ubiquitous Computing - 10th International Conference September 21-24, 2008, Seoul, Korea. pp. 154-163. Available online

» 2007 «

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Froehlich, Jon, Wobbrock, Jacob O. and Kane, Shaun K. (2007): Barrier pointing: using physical ed. In: Ninth Annual ACM Conference on Assistive Technologies 2007. pp. 19-26. Available online

Mobile phones and personal digital assistants (PDAs) are incredibly popular pervasive technologies. Many of these devices contain touch screens, which can present problems for users with motor impairments due to small targets and their reliance on tapping for target acquisition. In order to select a target, users must tap on the screen, an action which requires the precise motion of flying into a target and lifting without slipping. In this paper, we propose a new technique for target acquisition called barrier pointing, which leverages the elevated physical edges surrounding the screen to improve pointing accuracy. After designing a series of barrier pointing techniques, we conducted an initial study with 9 able bodied users and 9 users with motor impairments in order to discover the parameters that make barrier pointing successful. From this data, we offer an in-depth analysis of the performance of two motor impaired users for whom barrier pointing was especially beneficial. We show the importance of providing physical stability by allowing the stylus to press against the screen and its physical edge. We offer other design insights and lessons learned that can inform future attempts at leveraging the physical properties of mobile devices to improve accessibility.

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Consolvo, Sunny, Harrison, Beverly L., Smith, Ian, Chen, Mike Y., Everitt, Katherine, Froehlich, Jon and Landay, James A. (2007): Conducting In Situ Evaluations for and With Ubiquitous Computing Technologies. In International Journal of Human-Computer Interaction, 22 (1) pp. 103-118

To evaluate ubiquitous computing technologies, which may be embedded in the environment, embedded in objects, worn, or carried by the user throughout everyday life, it is essential to use methods that accommodate the often unpredictable, real-world environments in which the technologies are used. This article discusses how we have adapted and applied traditional methods from psychology and human-computer interaction, such as Wizard of Oz and Experience Sampling, to be more amenable to the in situ evaluations of ubiquitous computing applications, particularly in the early stages of design. The way that ubiquitous computing technologies can facilitate the in situ collection of self-report data is also discussed. Although the focus is on ubiquitous computing applications and tools for their assessment, it is believed that the in situ evaluation tools that are proposed will be generally useful for field trials of other technology, applications, or formative studies that are concerned with collecting data in situ.

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» 2006 «

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Froehlich, Jon, Chen, Mike Y., Smith, Ian E. and Potter, Fred (2006): Voting with Your Feet: An Investigative Study of the Relationship Between Place Visit Behavior and Preference. In: Dourish, Paul and Friday, Adrian (eds.) UbiComp 2006 Ubiquitous Computing - 8th International Conference September 17-21, 2006, Orange County, CA, USA. pp. 333-350. Available online

» 2005 «

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Souza, Cleidson de, Froehlich, Jon and Dourish, Paul (2005): Seeking the source: software source code as a social and technical artifact. In: GROUP05: International Conference on Supporting Group Work November 6-9, 2005, Sanibel Island, Florida, USA. pp. 197-206. Available online

In distributed software development, two sorts of dependencies can arise. The structure of the software system itself can create dependencies between software elements, while the structure of the development process can create dependencies between software developers. Each of these both shapes and reflects the development process. Our research concerns the extent to which, by looking uniformly at artifacts and activities, we can uncover the structures of software projects, and the ways in which development processes are inscribed into software artifacts. We show how a range of organizational processes and arrangements can be uncovered in software repositories, with implications for collaborative work in large distributed groups such as open source communities.

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Changes to this page (author)

24 Feb 2010: Enabled abstracts to be shown on Jon Froehlich's author page.
30 May 2009: Author was edited
30 May 2009: Author was edited
30 May 2009: Author was edited
09 May 2009: Author was edited
12 May 2008: Author was edited
12 May 2008: Author was edited
12 May 2008: Author was edited
11 Jun 2007: Author was added to the bibliography

Publication statistics

Publication period:2005-2009
Publication count:8
Number of co-authors:25



Productive colleagues

Jon Froehlich's 3 most productive colleagues in number of publications:

Scott E. Hudson:96
Paul Dourish:79
James A. Landay:73


Collaboration count

Number of publications with 3 favourite co-authors:

James A. Landay:4
Sunny Consolvo:4
Beverly L. Harrison:3

 

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