The present study draws on Flow Theory to examine the relationship between task repetition and quality of learners’ subjective experience during execution. is defined as a positive experiential state characterized by intense focus involvement in meaningful challenging, but doable tasks, which has been associated with enhanced self-confidence performance (Csikszentmihalyi, 2008). While research ...

There has been increasing interest in the machine learning community in automatic task design. In a collaborative problem-solving setting, how can we best break up and assign tasks so as to optimize output? Huang et al., for example, considered the problem of effectively assigning image-labeling tasks to Amazon Mechanical Turkers [1]. In the realm of Wikipedia prediction, Cosley et al. created ...

We study university projects and research collaboration projects with industry that are supported by government grants. First, we propose a theoretical model to analyze optimal decisions in these ventures. Second, we test our theoretical results with a unique dataset containing academic publications and collaborative research funds for all the academics at the major engineering departments in t...

By incorporating ergonomics principles into the task allocation processes, human–robot collaboration (HRC) frameworks can favour prevention of work-related musculoskeletal disorders (WMSDs). In this context, existing offline methodologies do not account for variability human actions and states; therefore, planning dynamically assigning roles in teams remains an unaddressed challenge. This study...