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The Virtual Community

Gateway to CAI hosted technology enablers that support the global humanitarian community
Research and Analysis

Research PDF Print E-mail

The Center for Applied Innovation conducts a variety of Qualitative and Quantitative research and analysis for our customers using a variety of methodologies. Our Qualitative research utilizes methods of inquiry employed in disciplines including the social sciences, and also market research.  Our Qualitative researchers gather an in-depth understanding of human behavior and the reasons that govern such behavior. We specialize in human factors research and analysis investigating the why and how of decision making, not just what, where, when.  We have special expertise in human cognition and complex teams systems particularly regarding the effects of stress and operating effectively in high stress environments.

Analysis PDF Print E-mail

CAI uses a variety of analytic tools and methods to solve customer problems. Our overall approach conforms to a multi-measure, multi-method framework in which a combination of objective and subjective measures, couched within both quantitative and qualitative analyses, are utilized to address questions in a variety of areas. CAI staff has expertise in a host of research domains. These run the gamut from basic experimental design, under randomized conditions; to quasi-experimental situations, where some control is possible; to field research, where naturalistic observation is the most feasible method available.

Human Factors PDF Print E-mail

CAI staff have a wealth of experience and expertise in the area of Human Factors. Collectively, CAI subject matter experts have performed usability testing on complex software systems, designed the user interface for high-stakes planning systems, designed and implemented software to improve the effectiveness of low- to high-fidelity training systems, constructed behaviorally anchored rating scales for the collection of human performance data under austere field conditions, investigated the root causes of errors in complex human-technology systems (e.g., process control, aviation, nuclear power), as well as conducted market research to identify the design features of products that have the highest impact on consumer preferences and buying decisions.