How can we support users' preferential choice?

Authors:
Anthony Jameson;Silvia Gabrielli;Per Ola Kristensson;Katharina Reinecke;Federica Cena;Cristina Gena;Fabiana Vernero
Affiliations:
DFKI, Saarbrucken, Germany;CREATE-NET, Trento, Italy;University of Cambridge, Cambridge, United Kingdom;Harvard University, Cambridge, MA, USA;University of Turin, Turin, Italy;University of Turin, Turin, Italy;University of Turin, Turin, Italy
Venue:
CHI '11 Extended Abstracts on Human Factors in Computing Systems
Year:
2011

Citing 6
Cited 0

Distributed cognition: toward a new foundation for human-computer interaction research

ACM Transactions on Computer-Human Interaction (TOCHI) - Special issue on human-computer interaction in the new millennium, Part 2
Hybrid Recommender Systems: Survey and Experiments

User Modeling and User-Adapted Interaction
Persuasive Technology: Using Computers to Change What We Think and Do

Persuasive Technology: Using Computers to Change What We Think and Do
Supporting interface customization using a mixed-initiative approach

Proceedings of the 12th international conference on Intelligent user interfaces
Obstacles to Option Setting: Initial Results with a Heuristic Walkthrough Method

INTERACT '09 Proceedings of the 12th IFIP TC 13 International Conference on Human-Computer Interaction: Part II
CommunityCommands: command recommendations for software applications

Proceedings of the 22nd annual ACM symposium on User interface software and technology

Quantified Score

Hi-index	0.00

Visualization

Abstract

Users of computing technology are constantly making choices about how to use the technology which are "preferential" in the sense that there is no correct or incorrect option. We argue that HCI should devote more attention to helping users to make better preferential choices, tapping into the vast pool of relevant psychological research. After offering a quick high-level overview of this research, we introduce four general strategies for exploiting it in interaction design and illustrate these strategies with reference to examples. Looking at selected other paradigms that involve influencing preferential choice, we explain how our framework can lead to greater coverage and conceptual clarity.