Paper Type
Completed Research Paper
Abstract
Data collected from 74 health care workers were used to measure if inspiration improves memory and affects end user intention to adopt a digitized patient record software application, through reduced errors and decreased completion times. Statistics showed that inspiration from software trainers affected individual behavior. Inspiration had an impact, through memory, on acceptance of the technology. Thirty seven “inspired” end users’ Cortisol levels were measured and compared to a control group (37). The inspired group demonstrated a 15% increase in baseline salivary Cortisol levels. The proposed model was nomologically validated through the use of a portable platform loaded with software for the electronic collection of data. Embedded metrics measured participants’ memory as operationalized by task completion time and number of errors. This paper introduces a scientific measurement of inspiration as a key driver that improves memory and affects end user intention to use a digitized patient record technology.
Recommended Citation
Rodger, James A. and Gonzalez, Stephen P., "Emotion and Memory in Technology Adoption and Diffusion" (2013). AMCIS 2013 Proceedings. 23.
https://aisel.aisnet.org/amcis2013/EndUserIS/GeneralPresentations/23
Emotion and Memory in Technology Adoption and Diffusion
Data collected from 74 health care workers were used to measure if inspiration improves memory and affects end user intention to adopt a digitized patient record software application, through reduced errors and decreased completion times. Statistics showed that inspiration from software trainers affected individual behavior. Inspiration had an impact, through memory, on acceptance of the technology. Thirty seven “inspired” end users’ Cortisol levels were measured and compared to a control group (37). The inspired group demonstrated a 15% increase in baseline salivary Cortisol levels. The proposed model was nomologically validated through the use of a portable platform loaded with software for the electronic collection of data. Embedded metrics measured participants’ memory as operationalized by task completion time and number of errors. This paper introduces a scientific measurement of inspiration as a key driver that improves memory and affects end user intention to use a digitized patient record technology.