Change search
ReferencesLink to record
Permanent link

Direct link
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
URN: urn:nbn:se:kth:diva-194351OAI: diva2:1039502
Eye Movements in Programming

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)33 downloads
File information
File name FULLTEXT01.pdfFile size 156 kBChecksum SHA-512
Type fulltextMimetype application/pdf

Search in DiVA

By author/editor
Kontogiorgos, Dimosthenis
By organisation
Speech, Music and Hearing, TMH
Engineering and Technology

Search outside of DiVA

GoogleGoogle Scholar
Total: 33 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

Total: 27 hits
ReferencesLink to record
Permanent link

Direct link