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Personalizing Feature-Rich Software

Personalizing Feature-Rich Software

Many applications today come with hundreds and sometimes even thousands of features, leading to highly complex and feature-rich interfaces. Most users, however, requires only a very small subset of each application's available functionality. This project looks at how to design interfaces that are personalized to individual users' needs. Through the MICA project, Christina Conati, Joanna McGrenere and I  examined ways that a system and a user could collaborate to produce a personalized interface. Our study results showed that a collaborative approach outperformed a purely user-driven solution. I am also a collaborator on the AdaptableGIMP project with Ben Lafreniere and Michael Terry, where we are designed and evaluated a task-centric and community-authored approach to personalizatization

Project Publications

Task-Centric Interfaces for Feature-Rich Software
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Task-Centric Interfaces for Feature-Rich Software

Ben Lafreniere, Andrea Bunt, and Michael Terry (2014). Task-Centric Interfaces for Feature-Rich Software. In Proceedings of OzCHI, pp. 49 - 58.

AdaptableGIMP: Designing a Socially-Adaptable Interface
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AdaptableGIMP: Designing a Socially-Adaptable Interface

Benjamin Lafreniere, Andrea Bunt, Matthew Lount, Filip Krynicki, and Michael A. Terry. 2011. AdaptableGIMP: designing a socially-adaptable interface. In Proceedings of the 24th annual ACM symposium adjunct on User interface software and technology (UIST '11 Adjunct) 89-90, poster.

Characterizing Large-Scale Use of a Direct Manipulation Application in the Wild
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Characterizing Large-Scale Use of a Direct Manipulation Application in the Wild

Lafreniere, B., Bunt, A., Whissell, J., Clarke, C., and Terry, M. (2010) Characterizing Large-Scale Use of a Direct Manipulation Application in the Wild. Proceedings of Graphics Interface (GI 2010), pp. 11-17.

Mixed-initiative interface personalization as a case study in usable AI
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Mixed-initiative interface personalization as a case study in usable AI

Andrea Bunt, Cristina Conati, and Joanna McGrenere (2009) Mixed-initiative interface personalization as a case study in usable AI. In Artificial Intelligence, Special Issue on Usable AI, 30(4), 58-64

Supporting Interface Customization Using a Mixed-Initiative Approach
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Supporting Interface Customization Using a Mixed-Initiative Approach

Andrea Bunt, Cristina Conati, and Joanna McGrenere. 2007. Supporting interface customization using a mixed-initiative approach. In Proceedings of the 12th international conference on Intelligent user interfaces (IUI '07), 92-101. Best Paper Award.

What Role Can Adaptive Support Play in an Adaptable System?
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What Role Can Adaptive Support Play in an Adaptable System?

Andrea Bunt, Cristina Conati, and Joanna McGrenere. 2004. What role can adaptive support play in an adaptable system?. In Proceedings of the 9th international conference on Intelligent user interfaces (IUI '04), 117-124. 

Collaborators

Andrea Bunt

Andrea Bunt

Professor
Matthew Lount

Matthew Lount

Alumni

As well as: Cristina Conati , Joanna McGrenere , Ben Lafreniere and Michael Terry