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Towards identifying programming expertise with the use of physiological measures
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0002-8874-6629
University of Copenhagen.
2016 (English)Conference paper (Refereed)
Abstract [en]

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.
Keyword [en]
code comprehension, programming expertise, pupillometry
National Category
Engineering and Technology
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:kth:diva-194351OAI: oai:DiVA.org:kth-194351DiVA: diva2:1039502
Conference
Eye Movements in Programming
Note

Hittar inte konferensens hemsida

Available from: 2016-10-24 Created: 2016-10-24 Last updated: 2016-10-27Bibliographically approved

Open Access in DiVA

fulltext(156 kB)13 downloads
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ReferencesLink to record
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