Peter Tarasewich
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Publications by Peter Tarasewich (bibliography)
» 2008 «
Gong, Jun, Tarasewich, Peter and MacKenzie, I. Scott (2008): Improved word list ordering for text entry on ambiguous keypads. In: Proceedings of the Fifth Nordic Conference on Human-Computer Interaction 2008. pp. 152-161. Available online
We present a design methodology for small ambiguous keypads, where input often produces a list of candidate words for a given desired word. The methodology uses context through semantic relatedness and a part-of-speech language model to improve the order of candidate words and, thus, reduce the overall number of keystrokes per character entered. Simulations yield improvements in text entry speed of about 10% and reductions in errors of about
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» 2006 «
Gong, Jun and Tarasewich, Peter (2006): A new error metric for text entry method evaluation. In: Proceedings of ACM CHI 2006 Conference on Human Factors in Computing Systems 2006. pp. 471-474. Available online
On devices such as mobile phones, text is often entered using keypads and predictive text entry techniques. Current metrics used for measuring text entry error rates have limitations in terms of the types of errors they account for, and cannot easily distinguish between different types of errors. This research proposes a new text entry error metric that addresses some of the outstanding issues that exist with current metrics. Specifically, the metric accounts in detail for the way the user handles corrections during text entry, moving beyond current keystroke level error measurement. The feasibility and usefulness of this new metric is shown through the analysis of an experiment that tests an alphabetically constrained keypad design that includes upper and lower case letters, numbers, and punctuation marks.
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» 2005 «
Gong, Jun and Tarasewich, Peter (2005): Alphabetically constrained keypad designs for text entry on mobile devices. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 211-220. Available online
The creation of text will remain a necessary part of human-computer interaction with mobile devices, even as they continue to shrink in size. On mobile phones, text is often entered using keypads and predictive text entry techniques, which attempt to minimize the effort (e.g., number of key presses) needed to enter words. This research presents results from the design and testing of alphabetically-constrained keypads, optimized on various word lists, for predictive text entry on mobile devices. Complete enumeration and Genetic Algorithm-based heuristics were used to find keypad designs based on different numbers of keys. Results show that alphabetically-constrained designs can be found that are close to unconstrained designs in terms of performance. User testing supports the hypothesis that novice ease of learning, usability, and performance is greater for constrained designs when compared to unconstrained designs. The effect of different word lists on keypad design and performance is also discussed.
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Gong, Jun, Haggerty, Bryan and Tarasewich, Peter (2005): An enhanced multitap text entry method with predictive next-letter highlighting. In: Proceedings of ACM CHI 2005 Conference on Human Factors in Computing Systems 2005. pp. 1399-1402. Available online
Full keyboards are difficult to implement on small mobile devices, and are sometimes replaced by keypads, with multiple characters assigned to each key. The Multitap method is often used for text entry on devices with keypads. While conceptually simple, Multitap requires one or more key presses to enter each desired letter, and is relatively inefficient from the standpoint of the number of keystrokes required to enter each word. It also requires a significant amount of visual searching to find a needed letter on a key. Fortunately, newer methods based on Multitap (such as LetterWise) have been shown to increase users' text entry efficiency. This paper presents an enhanced Multitap method that uses predictive next-letter highlighting to aid visual searching. Testing shows that this method, when compared to LetterWise, offers increased text entry speeds, fewer errors, and greater novice user satisfaction.
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Tarasewich, Peter, Pomplun, Marc, Fillion, Stephanie and Broberg, Daniel (2005): The Enhanced Restricted Focus Viewer. In International Journal of Human-Computer Interaction, 19 (1) pp. 35-54
The Enhanced Restricted Focus Viewer (ERFV) is a unique software tool for tracking the visual attention of users in hyperlinked environments, such as Web sites. The software collects data, such as mouse clicks along with the path of users' visual attention, as they browse a site. Unlike traditional eye-tracking procedures, the ERFV requires no hardware to operate other than a personal computer. In addition to time and cost savings, the ERFV allows the administration of usability testing to groups of participants simultaneously. A laboratory test comparing the ERFV to a hardware-based eye-tracking system showed that the two methods compared favorably in terms of how well they track a user's visual attention. The value of the ERFV as a usability testing tool was demonstrated through an experiment that evaluated two Web sites that were equivalent in content but that differed in terms of design. Although several open issues concerning the ERFV still remain, some of these issues are being addressed through ongoing research efforts.
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» 2004 «
Campbell, Christopher S. and Tarasewich, Peter (2004): What Can You Say with Only Three Pixels?. In: Brewster, Stephen A. and Dunlop, Mark D. (eds.) Mobile Human-Computer Interaction - Mobile HCI 2004 - 6th International Symposium September 13-16, 2004, Glasgow, UK. pp. 1-12. Available online
» 2003 «
Tarasewich, Peter, Campbell, Christopher S., Xia, Tian and Dideles, Myra (2003): Evaluation of Visual Notification Cues for Ubiquitous Computing. In: Dey, Anind K., Schmidt, Albrecht and McCarthy, Joseph F. (eds.) UbiComp 2003 Ubiquitous Computing - 5th International Conference October 12-15, 2003, Seattle, WA, USA. pp. 349-366. Available online
Tarasewich, Peter (2003): Designing mobile commerce applications. In Communications of the ACM, 46 (12) pp. 57-60
» 2002 «
Bharati, Pratyush and Tarasewich, Peter (2002): Global perceptions of journals publishing e-commerce research. In Communications of the ACM, 45 (5) pp. 21-26
Tarasewich, Peter and McMullen, Patrick R. (2002): Swarm intelligence: power in numbers. In Communications of the ACM, 45 (8) pp. 62-67
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Mar 21st, 2010
Changes to this page (author)
12 Feb 2010: Enabled abstracts to be shown on Peter Tarasewich's author page.18 Aug 2009: Author was edited 18 Aug 2009: Author was edited
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