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pub:biraffe [2019/09/20 16:37]
kkutt
pub:biraffe [2021/03/01 22:07]
gjn [ArPeMBoCI LoI]
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-====== BIRAFFE dataset ======+====== ArPeMBoCI ====== 
 +see [[biraffe#ArPeMBoCI LoI|below]] 
 +====== BIRAFFE ====== 
 + 
 +BIRAFFE is a series of experiments, placed in affective computing area, aimed at development of smart, affordable & wearable solutions for personalization of AI systems. Prepared datasets are available online (see below for more details). They consists of electrocardiogram (ECG), galvanic skin reaction (GSR), gyroscope and changes in facial expression signals recorded during affect elicitation by means of audio-visual stimuli and our proof-of-concept affective games. All the signals were captured using portable and low-cost equipment. 
 + 
 +Besides the signals, the datasets consist also of subjects' self-assessment of their affective state after each stimuli (in Valence-Arousal space), "Big Five" personality traits assessment (using NEO-FFI inventory) and game involvement-related metrics (using GEQ questionnaire; only in the 2nd dataset). 
 + 
 +===== BIRAFFE2 dataset ===== 
 + 
 +<badge>[[https://doi.org/10.5281/zenodo.3865859 
 +|{{https://zenodo.org/badge/DOI/10.5281/zenodo.3865859.png}}]]</badge> 
 + 
 +This is our 2nd Study in **Bi**o-**R**eactions **a**nd **F**aces **f**or **E**motion-based Personalization for AI Systems (**BIRAFFE2**). It is a dataset consisting of //**electrocardiogram (ECG)**//, //**galvanic skin response (GSR)**//, changes in //**facial expression**// signals and //**hand movements**// (represented by gamepad's accelerometer and gyroscope) recorded during affect elicitation by means of //**audio-visual stimuli**// (from IADS and IAPS databases) and our proof-of-concept three-level //**[[pub:prototypes|emotion evoking game]]**//. All the signals were captured using portable and low-cost equipment: BITalino <nowiki>(r)evolution</nowiki> kit for ECG and GSR and Creative Live! web camera for face photos (further analyzed by MS Face API). 
 + 
 +Besides the signals, the dataset consists also of //**subjects' self-assessment**// of their affective state after each stimuli (in the //**valence and arousal**// dimensions), //**"Big Five" personality traits**// assessment (using NEO-FFI inventory), and //**game involvement**//-related metrics (using GEQ questionnaire). 
 + 
 +The whole dataset is available under the [[http://creativecommons.org/licenses/by-nc-nd/4.0/|CC BY-NC-ND 4.0]] licence at **[[https://doi.org/10.5281/zenodo.3865859|Zenodo]]**. 
 + 
 +All documents and papers that report on research that uses the BIRAFFE dataset should acknowledge this by citing the paper: 
 +Krzysztof Kutt, Dominika Drążyk, Maciej Szelążek, Szymon Bobek and Grzegorz J. Nalepa (2020). **The BIRAFFE2 Experiment. Study in Bio-Reactions and Faces for Emotion-based Personalization for AI Systems**. HAIW2020: Human-AI Interaction Workshop. Submitted, in review.\\ 
 +//(reference will be updated when the paper will be finally published)//\\ 
 +Draft of the paper was uploaded with the dataset as the ''_BIRAFFE2-HAIW2020-paper-draft.pdf'' 
 + 
 +===== BIRAFFE1 dataset ===== 
 + 
 +<badge>[[https://doi.org/10.5281/zenodo.3442143 
 +|{{https://zenodo.org/badge/DOI/10.5281/zenodo.3442143.png}}]]</badge>
  
 We present **BIRAFFE**: **Bi**o-**R**eactions **a**nd **F**aces **f**or **E**motion-based Personalization. We present **BIRAFFE**: **Bi**o-**R**eactions **a**nd **F**aces **f**or **E**motion-based Personalization.
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 Besides the signals, the dataset consists also of //**subjects' self-assessment**// of their affective state after each stimuli (with the use of two widgets: the first one with //**5 emoticons**// and the second with //**valence and arousal**// dimensions) and //**"Big Five" personality traits**// assessment (using NEO-FFI inventory). Besides the signals, the dataset consists also of //**subjects' self-assessment**// of their affective state after each stimuli (with the use of two widgets: the first one with //**5 emoticons**// and the second with //**valence and arousal**// dimensions) and //**"Big Five" personality traits**// assessment (using NEO-FFI inventory).
  
-The whole dataset is available under the [[http://creativecommons.org/licenses/by-nc-nd/4.0/|CC BY-NC-ND 4.0]] licence at **[[http://dx.doi.org/10.5281/zenodo.3442144|Zenodo]]**.+The whole dataset is available under the [[http://creativecommons.org/licenses/by-nc-nd/4.0/|CC BY-NC-ND 4.0]] licence at **[[http://dx.doi.org/10.5281/zenodo.3442143|Zenodo]]**.
  
 All documents and papers that report on research that uses the BIRAFFE dataset should acknowledge this by **citing the paper**:\\ All documents and papers that report on research that uses the BIRAFFE dataset should acknowledge this by **citing the paper**:\\
-Krzysztof Kutt, Dominika Drążyk, Paweł Jemioło, Szymon Bobek, Barbara Giżycka, Víctor Rodríguez-Fernández and Grzegorz J. Nalepa (2019). **BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization**. //AfCAI 2019: Workshop on Affective Computing and Context Awareness in Ambient Intelligence//Submitted, in review.\\ +Kutt, K., Drążyk, D., Jemioło, P., Bobek, S., Giżycka, B., Rodriguez-Fernandez, V., & Nalepa, G. J. (2020). **BIRAFFE: Bio-Reactions and Faces for Emotion-based Personalization**. In G. J. Nalepa, J. M. Ferrandez, J. Palma, & V. Julian (Eds.), [[http://ceur-ws.org/Vol-2609/|Proceedings of the 3rd Workshop on Affective Computing and Context Awareness in Ambient Intelligence (AfCAI 2019) (CEUR-WS Vol2609)]]. \\ 
-Draft of the paper was uploaded with the dataset as the ''BIRAFFE-AfCAI2019-paper.pdf''.+Final version of the paper was uploaded with the dataset as the ''BIRAFFE-AfCAI2019-paper.pdf''.
  
-An extended description of the experiment conducted to obtain the BIRAFFE dataset will be provided in:\\ +==== ArPeMBoCI LoI ==== 
-Krzysztof Kutt, Dominika Drążyk, Szymon Bobek, Barbara Giżycka, Paweł Jemioło and Grzegorz JNalepa (2020). **Multimodal emotion detection with use of AI methods and contextual information**. //European Journal of Personality//. Submittedin review.+{{:pub:loi-arpemboci.zip|}} password is the first name of the PIlatin letters
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