Amy Hurst
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Publications by Amy Hurst (bibliography)
» 2008 «
Hurst, Amy, Mankoff, Jennifer and Hudson, Scott E. (2008): Understanding pointing problems in real world computing environments. In: Tenth Annual ACM SIGACCESS Conference on Assistive Technologies 2008. pp. 43-50. Available online
“Understanding how pointing performance varies in real world computer use and over time can provide valuable insight about how systems should accommodate changes in pointing behavior. Unfortunately, pointing data from individuals with pointing problems is rarely studied during real world use. Instead, it is most frequently evaluated in a laboratory where it is easier to collect and evaluate data. We developed a technique to collect and analyze real world pointing performance which we used to investigate the variance in performance of six individuals with a range of pointing abilities. Features of pointing performance we analyzed include metrics such as movement trajectories, clicking, and double clicking. These individuals exhibited high variance during both supervised and unsupervised (or real world) computer use across multiple login sessions. The high variance found within each participant highlights the potential inaccuracy of judging performance based on a single laboratory session.”
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Hurst, Amy, Hudson, Scott E., Mankoff, Jennifer and Trewin, Shari (2008): Automatically detecting pointing performance. In: Proceedings of the 2008 International Conference on Intelligent User Interfaces 2008. pp. 11-19. Available online
“Since not all persons interact with computer systems in the same way, computer systems should not interact with all individuals in the same way. This paper presents a significant step in automatically detecting characteristics of persons with a wide range of abilities based on observing their user input events. Three datasets are used to build learned statistical models on pointing data collected in a laboratory setting from individuals with varying ability to use computer pointing devices. The first dataset is used to distinguish between pointing behaviors from individuals with pointing problems vs. individuals without with 92.7% accuracy. The second is used to distinguish between pointing data from Young Adults and Adults vs. Older Adults vs. individuals with Parkinson's Disease with 91.6% accuracy. The final data set is used to predict the need for a specific adaptation based on a user's performance with 94.4% accuracy. These results suggest that it may be feasible to use such models to automatically identify computer users who would benefit from accessibility tools, and to even make specific tool recommendations.”
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Szymanski, Margaret, Aoki, Paul, Grinter, Rebecca E., Hurst, Amy, Thornton, James and Woodruff, Allison (2008): Sotto Voce: Facilitating Social Learning in a Historic House. In Computer Supported Cooperative Work, 17 (1) pp. 5-34
“This study examines visitors' use of two different electronic guidebook prototypes, the second an iteration of the first, that were developed to support social interaction between companions as they tour a historic house. Three studies were conducted in which paired visitors' social interactions were video- and audio-recorded for analysis. Using conversation analysis, the data from the use of prototype 1 and prototype 2 were compared. It was found that audio delivery methods were consequential to the ways in which visitors structurally organized their social activity. Further, the availability of structural opportunities for social interaction between visitors has implications for the ways in which the learning process occurs in museum settings.”
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» 2007 «
Hurst, Amy, Hudson, Scott E. and Mankoff, Jennifer (2007): Dynamic detection of novice vs. skilled use without a task model. In: Proceedings of ACM CHI 2007 Conference on Human Factors in Computing Systems 2007. pp. 271-280. Available online
“If applications were able to detect a user's expertise, then software could automatically adapt to better match expertise. Detecting expertise is difficult because a user's skill changes as the user interacts with an application and differs across applications. This means that expertise must be sensed dynamically, continuously, and unobtrusively so as not to burden the user. We present an approach to this problem that can operate without a task model based on low-level mouse and menu data which can typically be sensed across applications at the operating systems level. We have implemented and trained a classifier that can detect "novice" or "skilled" use of an image editing program, the GNU Image Manipulation Program (GIMP), at 91% accuracy, and tested it against real use. In particular, we developed and tested a prototype application that gives the user dynamic application information that differs depending on her performance.”
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Hurst, Amy, Mankoff, Jennifer, Dey, Anind K. and Hudson, Scott E. (2007): Dirty desktops: using a patina of magnetic mouse dust to make common interactor targets easier to select. In: Proceedings of the ACM Symposium on User Interface Software and Technology October 7-10, 2007, Newport, Rhode Island, USA. pp. 183-186. Available online
“A common task in graphical user interfaces is controlling onscreen elements using a pointer. Current adaptive pointing techniques require applications to be built using accessibility libraries that reveal information about interactive targets, and most do not handle path/menu navigation. We present a pseudo-haptic technique that is OS and application independent, and can handle both dragging and clicking. We do this by associating a small force with each past click or drag. When a user frequently clicks in the same general area (e.g., on a button), the patina of past clicks naturally creates a pseudo-haptic magnetic field with an effect similar to that ofsnapping or sticky icons. Our contribution is a bottom-up approach to make targets easier to select without requiring prior knowledge of them.”
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» 2006 «
Carter, Scott, Hurst, Amy, Mankoff, Jennifer and Li, Jack (2006): Dynamically adapting GUIs to diverse input devices. In: Eighth Annual ACM Conference on Assistive Technologies 2006. pp. 63-70. Available online
“Many of today's desktop applications are designed for use with a pointing device and keyboard. Someone with a disability, or in a unique environment, may not be able to use one or both of these devices. We have developed an approach for automatically modifying desktop applications to accommodate a variety of input alternatives as well as a demonstration implementation, the Input Adapter Tool (IAT). Our work is differentiated from past work by our focus on input adaptation (such as adapting a paint program to work without a pointing device) rather than output adaptation (such as adapting web pages to work on a cellphone). We present an analysis showing how different common interactive elements and navigation techniques can be adapted to specific input modalities. We also describe IAT, which supports a subset of these adaptations, and illustrate how it adapts different inputs to two applications, a paint program and a form entry program.”
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» 2005 «
DiSalvo, Carl, Forlizzi, Jodi, Zimmerman, John, Mutlu, Bilge and Hurst, Amy (2005): The SenseChair: The lounge chair as an intelligent assistive device for elders. In: Proceedings of the Conference on Designing for User Experiences (DUX05) November, 2005, San Francisco, CA, USA. .
Hurst, Amy, Zimmerman, John, Atkeson, Christopher and Forlizzi, Jodi (2005): The sense lounger: establishing a ubicomp beachhead in elders' homes. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1467-1470. Available online
“In this paper we describe the Sense Lounger, a method for simply and cheaply turning a lounge chair into an initial "ubicomp" device in a home; providing a beachhead for transforming the home into a rich ubicomp environment. The Sense Lounger employs fabric sensors sewn into a chair's slipcover and force sensors on each leg to detect both an occupant and their activity. Drawing insights from user needs, we developed the Sense Lounger to (i) fit into the home and lifestyle of elders, (ii) assist and add value to the lives of elders, (iii) provide a platform for expanding assistive devices within the home environment. The current Sense Lounger prototype can be used to detect signs of life, patterns of use, posture, and sitting duration.”
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Jafarinaimi, Nassim, Forlizzi, Jodi, Hurst, Amy and Zimmerman, John (2005): Breakaway: an ambient display designed to change human behavior. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1945-1948. Available online
“We present Breakaway, an ambient display that encourages people, whose job requires them to sit for long periods of time, to take breaks more frequently. Breakaway uses the information from sensors placed on an office chair to communicate in a non-obtrusive manner how long the user has been sitting. Breakaway is a small sculpture placed on the desk. Its design is inspired by animation arts and theater, which rely heavily on body language to express emotions. Its shape and movement reflect the form of the human body; an upright position reflecting the body's refreshed pose, and a slouching position reflecting the body's pose after sitting for a long time. An initial evaluation shows a correlation between the movement of the sculpture and when participants took breaks, suggesting that ambient displays that make use of aesthetic and lifelike form might be promising for making positive changes in human behavior.”
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Forlizzi, Jodi, DiSalvo, Carl, Zimmerman, John, Mutlu, Bilge and Hurst, Amy (2005): The SenseChair: the lounge chair as an intelligent assistive device for elders. In: Proceedings of the Conference on Designing for User Experiences DUX05 2005. p. 31. Available online
“The elder population is rising. In the United States, the number of those needing assistance far exceeds the number of care facilities available to help the aging population. This creates a great incentive to help elders remain independently in their homes. Our group is exploring how robotic technology, designed in forms as familiar as home appliances, might be used to assist elders and those who provide care. We have designed the SenseChair, an intelligent assistive lounge chair that brings assistive technology to elders in a comfortable and familiar fashion. The SenseChair takes information about a sitter's behavior and the environment and provides information ranging from ambient displays to explicit notification. It serves as a research platform to understand how we can help elders stay independently in their homes, and offer them physical, social, and emotional support.”
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» 2004 «
Holstius, David, Kembel, John, Hurst, Amy, Wan, Peng-Hui and Forlizzi, Jodi (2004): Infotropism: living and robotic plants as interactive displays. In: Proceedings of DIS04: Designing Interactive Systems: Processes, Practices, Methods, & Techniques 2004. pp. 215-221. Available online
“Designers often borrow from the natural world to achieve pleasing, unobtrusive designs. We have extended this practice by combining living plants with sensors and lights in an interactive display, and by creating a robotic analogue that mimics phototropic behavior. In this paper, we document our design process and report the results of a 2-week field study. We put our living plant display, and its robotic counterpart, in a cafeteria between pairs of trash and recycling containers. Contributions of recyclables or trash triggered directional bursts of light that gradually induced the plant displays to lean toward the more active container. In interviews, people offered explanations for the displays and spoke of caring for the plants. A marginally significant increase in recycling behavior (p=.08) occurred at the display with living plants. Apparent increases also occurred at the robotic display and a unit with only lights. Our findings indicate value in exploring the use of living material and biomimetic forms in displays, and in using lightweight robotics to deliver simple rewards.”
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» 2002 «
Aoki, Paul M., Grinter, Rebecca E., Hurst, Amy, Szymanski, Margaret H., Thornton, James D. and Woodruff, Allison (2002): Sotto voce: exploring the interplay of conversation and mobile audio spaces. In: Terveen, Loren (ed.) Proceedings of the ACM CHI 2002 Conference on Human Factors in Computing Systems Conference April 20-25, 2002, Minneapolis, Minnesota. pp. 431-438.
Grinter, Rebecca E., Aoki, Paul M., Szymanski, Margaret H., Thornton, James D., Woodruff, Allison and Hurst, Amy (2002): Revisiting the visit: understanding how technology can shape the museum visit. In: Churchill, Elizabeth F., McCarthy, Joe, Neuwirth, Christine and Rodden, Tom (eds.) Proceedings of the 2002 ACM conference on Computer supported cooperative work November 16 - 20, 2002, New Orleans, Louisiana, USA. pp. 146-155. Available online
“This paper reports findings from a study of how a guidebook was used by
pairs of visitors touring a historic house. We describe how the guidebook was
incorporated into their visit in four ways: shared listening, independent use,
following one another, and checking in on each other. We discuss how individual
and groupware features were adopted in support of different visiting
experiences, and illustrate how that adoption was influenced by social
relationships, the nature of the current visit, and any museum visiting
strategies that the couples had. Finally, we describe how the guidebook
facilitated awareness between couples, and how awareness of non-guidebook users
(strangers) influenced use.”
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» 2001 «
Woodruff, Allison, Szymanski, Margaret H., Aoki, Paul M. and Hurst, Amy (2001): The Conversational Role of Electronic Guidebooks. In: Abowd, Gregory D., Brumitt, Barry and Shafer, Steven A. (eds.) Ubicomp 2001 Ubiquitous Computing - Third International Conference September 30 - October 2, 2001, Atlanta, Georgia, USA. pp. 187-208. Available online
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Mar 18th, 2010
Changes to this page (author)
24 Feb 2010: Enabled abstracts to be shown on Amy Hurst's author page.26 Jun 2009: Author was edited 30 May 2009: Author was edited
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28 Apr 2003: Added the author to the bibliography
