Accepting Ubiquitous Computing—A Modeling Approach

Speaker
Sarah Spiekermann
Assistant Professor, Institute of Information Systems, Humboldt University Berlin

When
-

Where
Newell-Simon Hall 1305 (Michael Mauldin Auditorium)

Description

Ubiquitous Computing (UC) is the vision of digitally augmented tools and services in the home of the future. This lecture presents an improved model that can be used to forecast the acceptance of such services: the Ubiquitous Computing System Acceptance Model (UCSAM). The model advances from existing technology acceptance models by integrating cognitive as well as affective attitudes as primary influencing factors, which are driven by underlying beliefs, namely perceived usefulness, control over the service, and perceived risk. Privacy concerns are less important for service acceptance. In a scenario based online study with 266 participants the authors find stable model relationships across three different UC service scenarios: an intelligent speed adaptation, an intelligent fridge, and a self-servicing car maintenance. UCSAM outperforms the traditional technology acceptance model by about 10%, rendering it a valuable tool for predicting the acceptance of future UC-based services.

Speaker's Bio

Sarah Spiekermann is an assistant professor at the Institute of Information Systems at Humboldt University Berlin. Her research work focuses on social and economic aspects of Ubiquitous Computing acceptance. She serves as director of The Berlin Research Centre on Internet Economics and has been leading the TAUCIS study, the technology assessment study on Ubiquitous Computing for the Germany’s Federal Ministry of Research and Education.

Host
Jason Hong