Mittwoch 16:00 Uhr - 17:15 Uhr FIT

livMatS Colloquium | Dr. Stephanie Hansen-Casteel | RWTH Aachen University | Development of an indicator-based model for prospective technology acceptance estimation

In the course of accelerated innovation cycles, technology acceptance is becoming more and more important, especially for developers of new technologies. Within the framework of acceptance-oriented research, various models have been developed that attempt to explain the emergence of acceptance on the basis of socio-technical indicators. Despite increasing societal relevance, there is still no holistic technology acceptance model that enables a dynamic (technology-independent) and prospective measurement of the acceptance of a technology. Such a model should be conceived and designed in a way that conclusions about the acceptance of the technology can be drawn already during technological development processes and on the basis of valid indicators. This would allow flexible, user-oriented adjustments with regard to technology design in an agile way. The aspect of dynamics refers to the necessary cross-technology applicability of the model.
Within the framework of the dissertation, a corresponding acceptance model was developed and validated based on a case study that can be used by developers of new technologies for prospective acceptance assessment.

Brief Bio:
Since 2014, Stephanie Hansen-Casteel has been working as a research assistant and assistant to Prof. Michael Lauster at the Institute for Technology Analysis and Foresight in the field of Security Research at RWTH Aachen University (LTVS). In addition, she is a member of the Research Group Corporate Technology Foresight (CTF) at the Fraunhofer Institute for Technological Trend Analysis (INT). Within the scope of her dissertation she developed a model for the prospective estimation of technology acceptance.