Human computer interaction

Assessing information credibility without authoritative sources

Rumors, smears and conspiracy theories can now spread quickly through email, blogs and other social media. Recipients of such messages may not question their validity. Moreover, even upon careful investigation and reflection, not everyone will agree about the validity of particular claims. This project examined ways to make it easier for people to determine if the information they are reading is credible or not.

Supporting self-management in bipolar disorder with mobile technology

Proposed by UMSI Assistant Professor Predrag Klasnja, this project aims to utilize user-centered design process to develop a mobile-phone application that leverages passive mood tracking to support self-management in bipolar disorder. Paul Resnick, professor in the School of Information, and Emily Mower Provost, assistant professor in Computer Science and Engineering, are collaborating with Klasnja on this project.

Improving the development process for context-aware systems

Assistant Professor Mark Newman has received a National Science Foundation (NSF) Faculty Early Career Development Award, the most prestigious award the NSF makes to junior faculty who show exceptional leadership promise. The award will be used to develop better techniques in the early stages of design for software applications that involve human-computer interaction.


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