Will Haines

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Publications by Will Haines (bibliography)

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Spaulding, Aaron, Gajos, Krzysztof Z., Jameson, Anthony, Kristensson, Per Ola, Bunt, Andrea and Haines, Will (2009): Usable intelligent interactive systems: CHI 2009 special interest group meeting. In: Proceedings of ACM CHI 2009 Conference on Human Factors in Computing Systems 2009. pp. 2743-2746. Available online

The AI and HCI communities have often been characterized as having opposing views of how humans and computers should interact" observes Winograd in Shifting Viewpoints. It is time to narrow this gap. What was once considered the forefront of artificial intelligence (AI) research can now be found in commercial products. While some have failed, others, such as face detection in digital cameras or product recommendation systems, have become so mainstream they are no longer thought of as artificial intelligence. This special interest group provides a forum to examine the apparent gap between HCI and AI communities, to explore how intelligent technologies can enable novel interaction with computation, and to investigate the challenges associated with understanding human abilities, limitations, and preferences in order to drive the design of intelligent interactive systems.

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Spaulding, Aaron, Blythe, Jim, Haines, Will and Gervasio, Melinda (2009): From geek to sleek: integrating task learning tools to support end users in real-world applications. In: Proceedings of the 2009 International Conference on Intelligent User Interfaces 2009. pp. 389-394. Available online

Numerous techniques exist to help users automate repetitive tasks; however, none of these methods fully support end-user creation, use, and modification of the learned tasks. We present an integrated task learning system (ITL) that learns executable procedures based on user demonstration and instruction, constituting a first step toward a broader solution for procedure management. We discuss our deployment of ITL into a collaborative command-and-control system. In this complex domain, ITL's performance with end users doing real tasks indicates that providing multiple, integrated learning techniques both extends functionality and improves user experience. Our experience in integrating this system also provides key insights for future designs of domain-independent task learning systems, specifically in supporting users' ability to understand and edit lengthy procedures.

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Changes to this page (author)

18 Feb 2010: Enabled abstracts to be shown on Will Haines's author page.
02 Jun 2009: Author was edited
09 May 2009: Author was added to the bibliography

Publication statistics

Publication period:2009-2009
Publication count:2
Number of co-authors:7



Productive colleagues

Will Haines's 3 most productive colleagues in number of publications:

Anthony Jameson:18
Andrea Bunt:10
Krzysztof Z. Gajos:8


Collaboration count

Number of publications with 3 favourite co-authors:

Aaron Spaulding:2
Jim Blythe:1
Melinda Gervasio:1

 

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Mar 20

Computer programs emerge as the outcome of complex human processes of cognition, communication and negotiation, which serve to establish the meaningful embedding of the computer system in its intended use context.

-- Floyd, 1992, p. 24

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