Towards identifying programming expertise with the use of physiological measures
2016 (English)Conference paper (Refereed)
In this position paper we propose means of measuring pro- gramming expertise on novice and expert programmers. Our approach is to measure the cognitive load of programmers while they assess Java/Python code in accordance with their experience in programming. Our hypothesis is that expert programmers encounter smaller pupillary dilation within pro- gramming problem solving tasks. We aim to evaluate our hypothesis using the EMIP Distributed Data Collection in order to confirm or reject our approach.
Place, publisher, year, edition, pages
University of Eastern Finland, 2016.
code comprehension, programming expertise, pupillometry
Engineering and Technology
Research subject Computer Science
IdentifiersURN: urn:nbn:se:kth:diva-194351OAI: oai:DiVA.org:kth-194351DiVA: diva2:1039502
Eye Movements in Programming
Hittar inte konferensens hemsida2016-10-242016-10-242016-10-27Bibliographically approved