2017 SIAM Conference on Computational Science and Engineering
The study will gather data using a questionnaire instrument. The questionnaire will then be presented to participants via the Internet using Amazon’s Mechanical Turk. The proposed number of participants is from 40 to 60 people from the United States and its territories. The results are expected to help understand how user’s privacy, security, and usability beliefs intersects and how it influences the acceptance of automated patching solutions. The usefulness of the Usable Security Triangle Model as a way to measure the beliefs will also be studied. This data is expected to aid in the design of automated update tools with the goal of increasing their acceptance.
- Heriberto A. Acosta-Maestre, Nova Southeastern University, USA, firstname.lastname@example.org