%0 Conference Proceedings
%T A Novel Method to Build and Validate an Affective State Prediction Model from Touch-Typing
%+ Indian Institute of Technology Guwahati (IIT Guwahati)
%A Tikadar, Subrata
%A Bhattacharya, Samit
%Z Part 2: User Experience
%< avec comité de lecture
%( Lecture Notes in Computer Science
%B 17th IFIP Conference on Human-Computer Interaction (INTERACT)
%C Paphos, Cyprus
%Y David Lamas
%Y Fernando Loizides
%Y Lennart Nacke
%Y Helen Petrie
%Y Marco Winckler
%Y Panayiotis Zaphiris
%I Springer International Publishing
%3 Human-Computer Interaction – INTERACT 2019
%V LNCS-11749
%N Part IV
%P 99-119
%8 2019-09-02
%D 2019
%R 10.1007/978-3-030-29390-1_6
%K Affective state
%K Emotion induction method
%K Mobile-HCI
%K Smartphone interaction
%K Touchscreen keyboard
%K Typing pattern
%K Unobtrusive approach
%K Valence and arousal
%Z Computer Science [cs]Conference papers
%X Affective systems are supposed to improve user satisfaction and hence usability by identifying and complementing the affective state of a user at the time of interaction. The first and most important challenge for building such systems is to identify the affective state in a systematic way. This is generally done based on computational models. Building such models requires affective data. In spite of the extensive growth in this research area, there are a number of challenges in affect induction method for collecting the affective data as well as for building models for real-time prediction of affective states. In this article, we have reported a novel method for inducing particular affective states to unobtrusively collect the affective data as well as a minimalist model to predict the affective states of a user from her/his typing pattern on a touchscreen of a smartphone. The prediction accuracy for our model was 86.60%. The method for inducing the specific affective states and the model to predict these states are validated through empirical studies comprising EEG signals of twenty two participants.
%G English
%Z TC 13
%2 https://inria.hal.science/hal-02877672/document
%2 https://inria.hal.science/hal-02877672/file/488595_1_En_6_Chapter.pdf
%L hal-02877672
%U https://inria.hal.science/hal-02877672
%~ IFIP-LNCS
%~ IFIP
%~ IFIP-TC13
%~ IFIP-INTERACT
%~ IFIP-LNCS-11749