Abstrakt
This paper deals with analysis of behavioural patterns in human–computer interaction. In the study, keystroke dynamics were analysed while participants were writing positive and negative opinions. A semi-experiment with 50 participants was performed. The participants were asked to recall the most negative and positive learning experiences (subject and teacher) and write an opinion about it. Keystroke dynamics were captured and over 50 diverse features were calculated and checked against the ability to differentiate positive and negative opinions. Moreover, classification of opinions was performed providing accuracy slightly above the random guess level. The second classification approach used self-report labels of pleasure and arousal and showed more accurate results. The study confirmed that it was possible to recognize positive and negative opinions from the keystroke patterns with accuracy above the random guess; however, combination with other modalities might produce more accurate results.
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Autorzy (2)
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Pełna treść
- Wersja publikacji
- Accepted albo Published Version
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/s21175963
- Licencja
- otwiera się w nowej karcie
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Informacje szczegółowe
- Kategoria:
- Publikacja w czasopiśmie
- Typ:
- artykuły w czasopismach
- Opublikowano w:
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SENSORS
nr 21,
ISSN: 1424-8220 - Język:
- angielski
- Rok wydania:
- 2021
- Opis bibliograficzny:
- Kołakowska A., Landowska A.: Keystroke Dynamics Patterns While Writing Positive and Negative Opinions// SENSORS -Vol. 21,iss. 17 (2021), s.5963-
- DOI:
- Cyfrowy identyfikator dokumentu elektronicznego (otwiera się w nowej karcie) 10.3390/s21175963
- Źródła finansowania:
- Weryfikacja:
- Politechnika Gdańska
wyświetlono 127 razy
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