Neurophysiological correlates of cognitive absorption in an enactive training context
Introduction
End-user training has long been recognized as a key factor in the acceptance and effective use of information technology (IT) (Compeau and Higgins, 1995, Nelson and Cheney, 1987). The objective of end-user training is to produce a skilled user who is motivated to apply this newly acquired knowledge in order to perform a job-related task (Gupta, Bostrom, & Huber, 2010). Moreover, organizations are investing significant resources in end-user training. According to the US Bureau of Labor Statistics, every year over 170 Billion US$ is spent on employee training and development; the American Society for Training and Development (ASTD, 2011) estimates that IT training accounts for 10% (on average) of all formal learning hours over the past ten years. Research shows that poor or insufficient training results in limited acceptance of the technology, which prevents organizations from fully realizing the benefits from these significant new investments (Compeau and Higgins, 1995, Nelson and Cheney, 1987). For example, undertrained end-users could cost five to eight times more to support than a well-trained worker (Fiering & Kirwin, 2006).
Among the various techniques used to train IT users, researchers call for more enactive methods (De Freitas and Jarvis, 2007, Derouin et al., 2005, Hays, 2005, Hedberg, 2003, Kirkle et al., 2005, Mayo et al., 2006). Enactive learning is based on social cognitive theory (Bandura, 1986) and is a form of observational learning that involves learning as a consequence of one’s interaction with and feedback from the environment. Gupta et al. (2010) provides evidence that combining enacting learning with vicarious learning (learning by observing others) leads to better training outcomes compared to vicarious learning alone. Realistic simulations provide a training context that generates relevant feedback in response to learner actions. More research is needed to properly understand such enactive learning in IT training (Martocchio and Webster, 1992, Sein et al., 1999). Computer-based simulation games have been demonstrated to be more effective than alternative forms of training for teaching work-related knowledge and skills (Sitzmann, 2011). Moreover, computer-based simulation games more readily incorporate enactive learning (as opposed to learners simply observing others). Consequently, the advantages of computer-based simulation training are theorized to result primarily from intrinsic motivation experienced by trainees when they actively engage in learning the training material (Sitzmann, 2011). Léger et al. (2012) report that learning is perceived to occur moreso during the enactive period (such as during a simulation of an IT training) as compared to other more direct instruction periods (such as a more formal presentation). While the literature provides evidence of the effects of affective and cognitive states on training outcomes, further investigation is needed on the impact of such psychological states on training effectiveness in enactive learning contexts (Gupta et al., 2010).
The present research focuses on the relationships between neurophysiological measures and the cognitive and affective states related to effective enactive IT training. The purpose of the paper is to determine the relationships, if any, that exist between neurophysiological measures and cognitive absorption (CA). Specifically, the paper focuses on the relationships between individuals’ cognitive absorption (and its dimensions) and EEG (electroencephalography), EKG (electrocardiography), EDA (electrodermal activity) and HR (Heart rate). Understanding these relationships could further enhance end-user and IT training as well as user acceptance of technology and systems. Moreover, the results of such studies not only contribute to the current call for research on end-user training, but also point to the importance of considering neurophysiological factors along with trainees’ experience and task difficulty when developing effective IT training. Enactive training programs can perhaps be designed to induce neurophysiological states that will result in more efficient and better use of the technology. Such insights could open up new frontiers for advancing the development of more efficient, effective, and enjoyable training environments; and hence, enhanced user acceptance and efficient use of technology. Given the continuing high failure rate of new information systems implementations, much of which can be directly attributed to inadequate training practices, the quest for such insights warrants urgent attention.
Section snippets
Cognitive absorption
Based on flow theory (Csikszentmihalyi, 1990), cognitive absorption is conceptualized as a state of deep involvement with IT (Agarwal & Karahanna, 2000). Research suggests that cognitive absorption significantly affects trainees’ behavioral intention to use the target information system both directly and through its indirect effects via perceived usefulness and perceived ease of use (Agarwal and Karahanna, 2000, Saadé and Bahli, 2005, Scott and Walczak, 2009, Shang et al., 2005). Stated
Neurophysiological correlates of cognitive absorption
Hanin (2000) proposes a framework to capture the psychological and physiological states of the flow state for an individual task. Their model suggests that the overall psychophysiological disposition of an individual is also an important factor in being able to achieve a state of flow. In this framework, the psychological dimension refers to the affective, cognitive, and motivational components; while the physiological dimensions consist of behavioral and bodily-somatic factors. According to
Experimental protocol
An experimental approach was used to test these hypotheses. Thirty-six (36) right-handed male and female subjects took part in a two-hour simulation-based training session on an ERP system. The experiment was approved by the Institutional Review Boards (IRB) of the institutions involved in the study. The IRB reviews research protocols and procedures to ensure the appropriateness of the study. All subjects were undergraduate students from an AACSB accredited institution, in the United States,
Results
This research presents evidence of links between specific neurophysiological markers of controlled and automatic processing, and user trainees’ perceptions of cognitive absorption. EEG (electroencephalography), EDR (electrodermal activity) and HR (Heart rate) data were gathered using the Procomp Infinity encoder from Thought Technology. Descriptive statistics and correlations are presented in Table 2.
Table 3 compares the effects of two different models on the comprehensive cognitive absorption
Discussion and concluding comments
The objective of this research was to seek deeper insights into intrinsic motivating mechanisms, key determinants of learning achievement. By investigating neurophysiological correlates of CA in the context of enactive learning (specifically simulation-based training on the use of enterprise resource planning (ERP) software) our objective was to generate new insights into the psychological states that are conducive to experiencing this flow related state. In effect, our objective was to
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