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Doug Wightman

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Publication statistics

Pub. period:2009-2012
Pub. count:4
Number of co-authors:9

Co-authors

Number of publications with 3 favourite co-authors:

Roel Vertegaal:2
Zi Ye:1
Joel Brandt:1

Productive colleagues

Doug Wightman's 3 most productive colleagues in number of publications:

Roel Vertegaal:59
B. J. Fogg:22
Dean Eckles:7

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 26

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Publications by Doug Wightman (bibliography)

2012

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Wightman, Doug, Ye, Zi, Brandt, Joel and Vertegaal, Roel (2012): SnipMatch: using source code context to enhance snippet retrieval and parameterization. In: Proceedings of the 2012 ACM Symposium on User Interface Software and Technology 2012. pp. 219-228.

“Programmers routinely use source code snippets to increase their productivity. However, locating and adapting code snippets to the current context still takes time: for example, variables must be renamed, and dependencies included. We believe that when programmers decide to invest time in creating a new code snippet from scratch, they would also be willing to spend additional effort to make that code snippet configurable and easy to integrate. To explore this insight, we built SnipMatch, a plug-in for the Eclipse IDE. SnipMatch introduces a simple markup that allows snippet authors to specify search patterns and integration instructions. SnipMatch leverages this information, in conjunction with current code context, to improve snippet search and parameterization. For example, when a search query includes local variables, SnipMatch suggests compatible snippets, and automatically adapts them by substituting in these variables. In the lab, we observed that participants integrated snippets faster when using SnipMatch than when using standard Eclipse. Findings from a public deployment to 93 programmers suggest that SnipMatch has become integrated into the work practices of real users.”

2010

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Wightman, Doug (2010): Crowdsourcing human-based computation. In: Proceedings of the Sixth Nordic Conference on Human-Computer Interaction 2010. pp. 551-560.

“Thousands of websites have been created to crowdsource tasks. In this paper, systems that crowdsource human-based computations are organized into four distinct classes using two factors: the users' motivation for completing the task (direct or indirect) and whether task completion is competitive. These classes are described and compared. Considerations and selection criteria for systems designers are presented. This investigation also identified several opportunities for further research. For example, existing systems might benefit from the integration of methods for transforming complex tasks into many simple tasks.”

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Wightman, Doug, Ginn, Tim and Vertegaal, Roel (2010): TouchMark: flexible document navigation and bookmarking techniques for e-book readers. In: Proceedings of the 2010 Conference on Graphics Interface 2010. pp. 241-244.

“We present TouchMark, a set of page navigation techniques that preserve some of the physical affordances of paper books. TouchMark introduces physical tabs, one on each side of the display, to enable gestures such as page thumbing and bookmarking. TouchMark can be implemented on a variety of electronic devices, including tablet computers and laptops, by augmenting standard hardware with inexpensive sensors.”

2009

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Eckles, Dean, Wightman, Doug, Carlson, Claire, Thamrongrattanarit, Attapol, Bastea-Forte, Marcello and Fogg, B. J. (2009): Social responses in mobile messaging: influence strategies, self-disclosure, and source orientation. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 1651-1654.

“This paper reports on a direct test of social responses to communication technologies theory (SRCT) with mobile messaging. SRCT predicts that people will mindlessly respond to computers in social ways that mirror their responses to humans. A field experiment (N=71) using participants' own mobile phones compared three influence strategies (direct request, flattery, and social norms) in the context of asking intimate questions of participants. These messages came from either an ostensibly human or computer sender. Flattery significantly increased self-disclosure when ostensibly sent by a human, but not when from a computer. The interaction effect for sender and influence strategy is inconsistent with SRCT's predictions. Implications for theories of source orientation, research methods, and future research are discussed.”

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