Publication statistics

Pub. period:2010-2012
Pub. count:5
Number of co-authors:2


Number of publications with 3 favourite co-authors:

Michael Terry:5
Richard Mann:4



Productive colleagues

Adam Fourney's 3 most productive colleagues in number of publications:

Michael Terry:21
Richard Mann:6

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Adam Fourney


Publications by Adam Fourney (bibliography)

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Fourney, Adam and Terry, Michael (2012): PICL: portable in-circuit learner. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 569-578. Available online

This paper introduces the PICL, the portable in-circuit learner. The PICL explores the possibility of providing standalone, low-cost, programming-by-demonstration machine learning capabilities to circuit prototyping. To train the PICL, users attach a sensor to the PICL, demonstrate example input, then specify the desired output (expressed as a voltage) for the given input. The current version of the PICL provides two learning modes, binary classification and linear regression. To streamline training and also make it possible to train on highly transient signals (such as those produced by a camera flash or a hand clap), the PICL includes a number of input inferencing techniques. These techniques make it possible for the PICL to learn with as few as one example. The PICL's behavioural repertoire can be expanded by means of various output adapters, which serve to transform the output in useful ways when prototyping. Collectively, the PICL's capabilities allow users of systems such as the Arduino or littleBits electronics kit to quickly add basic sensor-based behaviour, with little or no programming required.

© All rights reserved Fourney and Terry and/or ACM Press

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Fourney, Adam, Mann, Richard and Terry, Michael (2011): Characterizing the usability of interactive applications through query log analysis. In: Proceedings of ACM CHI 2011 Conference on Human Factors in Computing Systems 2011. pp. 1817-1826. Available online

People routinely rely on Internet search engines to support their use of interactive systems: they issue queries to learn how to accomplish tasks, troubleshoot problems, and otherwise educate themselves on products. Given this common behavior, we argue that search query logs can usefully augment traditional usability methods by revealing the primary tasks and needs of a product's user population. We term this use of search query logs CUTS -- characterizing usability through search. In this paper, we introduce CUTS and describe an automated process for harvesting, ordering, labeling, filtering, and grouping search queries related to a given product. Importantly, this data set can be assembled in minutes, is timely, has a high degree of ecological validity, and is arguably less prone to self-selection bias than data gathered via traditional usability methods. We demonstrate the utility of this approach by applying it to a number of popular software and hardware systems.

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Fourney, Adam, Mann, Richard and Terry, Michael (2011): Query-feature graphs: bridging user vocabulary and system functionality. In: Proceedings of the 2011 ACM Symposium on User Interface Software and Technology 2011. pp. 207-216. Available online

This paper introduces query-feature graphs, or QF-graphs. QF-graphs encode associations between high-level descriptions of user goals (articulated as natural language search queries) and the specific features of an interactive system relevant to achieving those goals. For example, a QF-graph for the GIMP graphics manipulation software links the query "GIMP black and white" to the commands "desaturate" and "grayscale." We demonstrate how QF-graphs can be constructed using search query logs, search engine results, web page content, and localization data from interactive systems. An analysis of QF-graphs shows that the associations produced by our approach exhibit levels of accuracy that make them eminently usable in a range of real-world applications. Finally, we present three hypothetical user interface mechanisms that illustrate the potential of QF-graphs: search-driven interaction, dynamic tooltips, and app-to-app analogy search.

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Fourney, Adam, Mann, Richard and Terry, Michael (2010): What can internet search engines "suggest" about the usage and usability of popular desktop applications?. In: Proceedings of the 2010 ACM Symposium on User Interface Software and Technology 2010. pp. 417-418. Available online

In this paper, we show how Internet search query logs can yield rich, ecologically valid data sets describing the common tasks and issues that people encounter when using software on a day-to-day basis. These data sets can feed directly into standard usability practices. We address challenges in collecting, filtering, and summarizing queries, and show how data can be collected at very low cost, even without direct access to raw query logs.

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Fourney, Adam, Terry, Michael and Mann, Richard (2010): Gesturing in the wild: understanding the effects and implications of gesture-based interaction for dynamic presentations. In: Proceedings of the HCI10 Conference on People and Computers XXIV 2010. pp. 230-240. Available online

Driven by the increasing availability of low-cost sensing hardware, gesture-based input is quickly becoming a viable form of interaction for a variety of applications. Electronic presentations (e.g., PowerPoint, Keynote) have long been seen as a natural fit for this form of interaction. However, despite 20 years of prototyping such systems, little is known about how gesture-based input affects presentation dynamics, or how it can be best applied in this context. Instead, past work has focused almost exclusively on recognition algorithms. This paper explicitly addresses these gaps in the literature. Through observations of real-world practices, we first describe the types of gestures presenters naturally make and the purposes these gestures serve when presenting content. We then introduce Maestro, a gesture-based presentation system explicitly designed to support and enhance these existing practices. Finally, we describe the results of a real-world field study in which Maestro was evaluated in a classroom setting for several weeks. Our results indicate that gestures which enable direct interaction with slide content are the most natural fit for this input modality. In contrast, we found that using gestures to navigate slides (the most common implementation in all prior systems) has significant drawbacks. Our results also show how gesture-based input can noticeably alter presentation dynamics, often in ways that are not desirable.

© All rights reserved Fourney et al. and/or BCS

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