Identification based on typing patterns between programming and free text

Petrus Peltola, Vilma Kangas, Nea Pirttinen, Henrik Nygren, Juho Leinonen

Forskningsoutput: Kapitel i bok/rapport/konferenshandlingKonferensbidragVetenskapligPeer review

Sammanfattning

Identifying people based on their typing has been studied successfully in multiple different contexts. Previous research has shown that identification is possible based on writing predetermined texts such as typing passwords, free text such as essays, as well based on writing source code. In this work, we study typing pattern based identification when the text format and writing environment change. We replicate two earlier studies which suggested that typing profile identification works with programming data, and that it can be applied to a programming exam circumstances with decent results. Then, we examine how the identification accuracy changes when the user profiles are built using data from programming, and the identification is conducted on data from writing free text. Our results show that the identification accuracy is indeed high within the context of programming data, but drops when identifying essay typists based on typing profiles built from their programming data.
Originalspråkengelska
Titel på värdpublikationKoli Calling '17 : Proceedings of the 17th Koli Calling International Conference on Computing Education Research
Antal sidor5
UtgivningsortNew York
FörlagACM
Utgivningsdatum16 nov. 2017
Sidor163-167
ISBN (tryckt)978-1-4503-5301-4
DOI
StatusPublicerad - 16 nov. 2017
MoE-publikationstypA4 Artikel i en konferenspublikation
EvenemangKoli Calling International Conference on Computing Education Research - Koli, Finland
Varaktighet: 16 nov. 201719 nov. 2017
Konferensnummer: 17

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  • 113 Data- och informationsvetenskap

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