Identification based on typing patterns between programming and free text

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

Kuvaus

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.
Alkuperäiskielienglanti
OtsikkoKoli Calling '17 : Proceedings of the 17th Koli Calling International Conference on Computing Education Research
Sivumäärä5
JulkaisupaikkaNew York
KustantajaACM
Julkaisupäivä16 marraskuuta 2017
Sivut163-167
ISBN (painettu)978-1-4503-5301-4
DOI - pysyväislinkit
TilaJulkaistu - 16 marraskuuta 2017
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaKoli Calling International Conference on Computing Education Research - Koli, Suomi
Kesto: 16 marraskuuta 201719 marraskuuta 2017
Konferenssinumero: 17

Tieteenalat

  • 113 Tietojenkäsittely- ja informaatiotieteet

Lainaa tätä

Peltola, P., Kangas, V., Pirttinen, N., Nygren, H., & Leinonen, J. (2017). Identification based on typing patterns between programming and free text. teoksessa Koli Calling '17: Proceedings of the 17th Koli Calling International Conference on Computing Education Research (Sivut 163-167). New York: ACM. https://doi.org/10.1145/3141880.3141903
Peltola, Petrus ; Kangas, Vilma ; Pirttinen, Nea ; Nygren, Henrik ; Leinonen, Juho. / Identification based on typing patterns between programming and free text. Koli Calling '17: Proceedings of the 17th Koli Calling International Conference on Computing Education Research. New York : ACM, 2017. Sivut 163-167
@inproceedings{496b116991924ca8a8f9497cabc1b18e,
title = "Identification based on typing patterns between programming and free text",
abstract = "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.",
keywords = "113 Computer and information sciences",
author = "Petrus Peltola and Vilma Kangas and Nea Pirttinen and Henrik Nygren and Juho Leinonen",
year = "2017",
month = "11",
day = "16",
doi = "10.1145/3141880.3141903",
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Peltola, P, Kangas, V, Pirttinen, N, Nygren, H & Leinonen, J 2017, Identification based on typing patterns between programming and free text. julkaisussa Koli Calling '17: Proceedings of the 17th Koli Calling International Conference on Computing Education Research. ACM, New York, Sivut 163-167, Koli Calling International Conference on Computing Education Research, Koli, Suomi, 16/11/2017. https://doi.org/10.1145/3141880.3141903

Identification based on typing patterns between programming and free text. / Peltola, Petrus; Kangas, Vilma; Pirttinen, Nea; Nygren, Henrik; Leinonen, Juho.

Koli Calling '17: Proceedings of the 17th Koli Calling International Conference on Computing Education Research. New York : ACM, 2017. s. 163-167.

Tutkimustuotos: Artikkeli kirjassa/raportissa/konferenssijulkaisussaKonferenssiartikkeliTieteellinenvertaisarvioitu

TY - GEN

T1 - Identification based on typing patterns between programming and free text

AU - Peltola, Petrus

AU - Kangas, Vilma

AU - Pirttinen, Nea

AU - Nygren, Henrik

AU - Leinonen, Juho

PY - 2017/11/16

Y1 - 2017/11/16

N2 - 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.

AB - 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.

KW - 113 Computer and information sciences

U2 - 10.1145/3141880.3141903

DO - 10.1145/3141880.3141903

M3 - Conference contribution

SN - 978-1-4503-5301-4

SP - 163

EP - 167

BT - Koli Calling '17

PB - ACM

CY - New York

ER -

Peltola P, Kangas V, Pirttinen N, Nygren H, Leinonen J. Identification based on typing patterns between programming and free text. julkaisussa Koli Calling '17: Proceedings of the 17th Koli Calling International Conference on Computing Education Research. New York: ACM. 2017. s. 163-167 https://doi.org/10.1145/3141880.3141903