Leveraging motor learning for a tangible password system

Authors:
Martez Mott;Thomas Donahue;G. Michael Poor;Laura Leventhal
Affiliations:
Bowling Green State University, Bowling Green, Ohio, USA;Bowling Green State University, Bowling Green, OH, USA;Bowling Green State University, Bowling Green, Ohio, USA;Bowling Green State University, Bowling Green, Ohio, USA
Venue:
CHI '12 Extended Abstracts on Human Factors in Computing Systems
Year:
2012

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Abstract

Tangible user interfaces (TUIs) may allow users to have more direct interaction with systems when compared to traditional graphical user interfaces (GUIs). However, the full range of applications where TUIs can be utilized in practice is unclear. To resolve this problem, the benefits of TUIs must be analyzed and matched to an application domain where they hold advantages over more traditional systems. Since TUIs require users to use their hands in order to interact with the system, there is the possibility for these systems to leverage motor learning to help users perform specific tasks. In this paper we will describe an early attempt to understand how motor learning can be used to create a tangible password system. A novel tangible password system was created and a small study conducted in order to identify future research objectives.