Towards a translational method for studying the influence of motivational and affective variables on performance during human-computer interactions

Abstract

A primary goal in operational neuroscience is to create translational pathways linking laboratory observations with real-world applications. Achieving this requires a method that enables study of variability in operator performance that does not typically emerge under controlled laboratory circumstances; the present paper describes the development of such a paradigm. An essential aspect of the design process involved eliciting subject engagement without using extrinsic incentive (e.g. money) as a motivating stressor and, instead, tapping an appropriate intrinsic incentive (i.e. competitive stress). Two sources of competition were initially considered including one based on self-competition and another based on competition with another individual; ultimately, the latter approach was selected. A virtual competitor was designed to affect individual valuation of momentary successes and failures in specific ways and preliminary results revealed early indicators of success in meeting this goal. Discussion focuses on implications and challenges for future research using similar translational paradigms.