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Stephen Fitchett

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Publication statistics

Pub. period:2009-2012
Pub. count:4
Number of co-authors:7

Co-authors

Number of publications with 3 favourite co-authors:

Andy Cockburn:3
Michael Whitney:1
James Landay:1

Productive colleagues

Stephen Fitchett's 3 most productive colleagues in number of publications:

Saul Greenberg:140
Carl Gutwin:116
Andy Cockburn:68

Calendar

May 27

13th Intl. Conf. on New Interfaces for Musical Expression

May 28

Graphics Interface 2013

May 29

Boston UXPA Usability and UX Conf. 2013

May 25

“ Civilization advances by extending the number of important operations which we can perform without thinking of them. ”

-- Alfred North Whitehead

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Stephen Fitchett

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Stephen Fitchett is a postgraduate student in Computer Science at the University of Canterbury, New Zealand.

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Publications by Stephen Fitchett (bibliography)

2012

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Edge, Darren, Fitchett, Stephen, Whitney, Michael and Landay, James (2012): MemReflex: adaptive flashcards for mobile microlearning. In: Proceedings of the 14th Conference on Human-computer interaction with mobile devices and services 2012. pp. 431-440.

“Flashcard systems typically help students learn facts (e.g., definitions, names, and dates), relying on intense initial memorization with subsequent tests delayed up to days later. This approach does not exploit the short, sparse, and mobile opportunities for microlearning throughout the day, nor does it support learners who need the motivation that comes from successful study sessions. In contrast, our MemReflex system of adaptive flashcards gives fast-feedback by retesting new items in quick succession, dynamically scheduling future tests according to a model of the learner's memory. We evaluate MemReflex across three user studies. In the first two studies, we demonstrate its effectiveness for both audio and text modalities, even while walking and distracted. In the third study of second-language vocabulary learning, we show how MemReflex enhanced learner accuracy, confidence, and perceptions of control and success. Overall, the work suggests new directions for mobile microlearning and "micro activities" in general.”

2010

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Fitchett, Stephen and Cockburn, Andy (2010): MultiScroll: using multitouch input to disambiguate relative and absolute mobile scroll modes. In: Proceedings of the HCI10 Conference on People and Computers XXIV 2010. pp. 393-402.

“We propose MultiScroll, a general purpose hybrid scrolling technique that uses multitouch input to allow for a combination of rate based scrolling for navigating short and medium distances and zero-order scrolling for navigating large distances. The design challenges of supporting both scrolling modes on mobile devices are discussed, including the use of 'drift zones' and 'edge proximity warnings' to resolve potential problems of touch controlled mobile rate-based scrolling. Evaluations with participants both stationary and walking show the complimentary benefits of the techniques over flick scrolling across a variety of scrolling tasks.”

2009

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Alexander, Jason, Cockburn, Andy, Fitchett, Stephen, Gutwin, Carl and Greenberg, Saul (2009): Revisiting read wear: analysis, design, and evaluation of a footprints scrollbar. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1665-1674.

“In this paper, we show that people frequently return to previously-visited regions within their documents, and that scrollbars can be enhanced to ease this task. We analysed 120 days of activity logs from Microsoft Word and Adobe Reader. Our analysis shows that region revisitation is a common activity that can be supported with relatively short recency lists. This establishes an empirical foundation for the design of an enhanced scrollbar containing scrollbar marks that helps people return to previously visited document regions. Two controlled experiments show that scrollbar marks decrease revisitation time, and that a large number of marks can be used effectively. We then design an enhanced Footprints scrollbar that supports revisitation with several features, including scrollbar marks and mark thumbnails. Two further experiments show that the Footprints scrollbar was frequently used and strongly preferred over traditional scrollbars.”

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Fitchett, Stephen and Cockburn, Andy (2009): Evaluating reading and analysis tasks on mobile devices: a case study of tilt and flick scrolling. In: Proceedings of OZCHI09, the CHISIG Annual Conference on Human-Computer Interaction 2009. pp. 225-232.

“Flick scrolling is a natural scrolling method for mobile touch devices such as the iPhone™. It is useful not only for its performance but perhaps even more so for its ease of use and user experience. Tilt scrolling instead uses the device's tilt to determine the rate of scrolling, which offers several potential interaction advantages over touch sensitive alternatives: scrolling can be achieved without occluding a large proportion of the screen with a hand, finger, or thumb; it frees drag input events for other important actions such as text selection and drag-and-drop; and it works regardless of the hand's state (e.g. moist or gloved). Although previously described, the performance of tilt scrolling has not been compared to flick scrolling, which is now the state of the art. Furthermore, it is unclear how such an empirical comparison should be conducted. To better understand interaction with mobile scrolling, we propose a new method of evaluating scrolling interfaces in the context of reading or analysis tasks. These activities typically involve slow subtle scroll movements rather than large movements typical investigated in most scrolling evaluations. We use this method to thoroughly compare flick scrolling and tilt scrolling. We show that tilt scrolling results in better performance for tasks performed while stationary while there is no significant difference while moving. However, we find that participants prefer flick scrolling and walk faster when completing moving tasks with flick scrolling than tilt scrolling.”

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