Abstract
We use mathematical problems with varying levels of difficulty (easy, intermediate, difficult) to test whether the error rates of human problem solvers depend monotonically on the problems’ level of difficulty. In an experiment with 45 students, we observe a non-linear dependence. The hypotheses tested relate to whether the function type of the error rate depends on individual characteristics and/or the IQ of a subject. Our data shows that the different types of non-linearity (U-shaped and inverse U-shaped) depend on openness in the NEO-FFI but not on the subjects’ IQ. We discuss our results in the context of problem solving in computer science, especially complexity theory, and motivation theory.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
