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Colloquium - Connelly

Technology Acceptance in Pervasive Computing Environments
University of Indiana
5/17/2007
3:30pm-4:30pm

Pervasive Computing "moves beyond the desktop" to having computing devices embedded in the world around us. Handheld devices, mobile and wireless technologies, sensors and "smart places" are just a few of the advances enabling truly pervasive computing. Studying user acceptance of these technologies, however, is a challenge since many of the proposed pervasive computing applications rely heavily on infrastructure that is not yet widely available. Understanding long-term usage and acceptance is of utmost importance for determining if an application is worth the required investment. Yet performing such an evaluation is difficult before the necessary infrastructure is available. The problem, then, is circular, requiring an evaluation to justify the necessary infrastructure investment and requiring the infrastructure to perform such an evaluation.

In this talk, I will discuss factors that effect user acceptance of pervasive computing applications. I propose a pervasive technology acceptance model (PTAM), which is a mathematical model for predicting long-term usage after minimal exposure to a prototype system. The ultimate goal is to direct researchers and industry towards those technologies with the most chance of gaining user acceptance.

Dr. is an Assistant Professor in the Computer Science Department at Indiana University. She is the Associate Director of IU's Center for Applied Cybersecurity Research and a member of the Pervasive Technology Labs. Dr. Connelly's research focuses on user acceptance of ubiquitous and mobile computing technologies where there is a delicate balance between such factors as convenience, control and privacy. Dr. Connelly is currently investigating three application domains: 1. convenience applications such as automatically configuring a cell phone's notification mechanism depending on the physical and social context of the cell phone owner, 2. health care applications to empower both the ill and the healthy to manage and improve their own health, and 3. work and learning applications such as a tool to assist students in gathering environmental data while simultaneously supporting data analysis in the field. Dr. Connelly received her MS and PhD in Computer Science from the University of Illinois, Champaign-Urbana in 1999 and 2003, respectively.

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