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Moulding student emotions through computational psychology: affective learning technologies and algorithmic governance

Ben Williamson
2017 Educational Media International  
Supporters of social-emotional learning foresee technical systems being employed to quantify and govern learners' affective lives, and to modify their behaviours in the direction of 'positive' feelings  ...  As the field of science and technology studies (STS) has demonstrated, technologies are produced, deployed, configured and used in specific social and political contexts (Gillespie, Boczkowski & Hood 2014  ...  These data can then be used to produce feedback on how to improve in the direction of positive affect based on a real-time assessment.  ... 
doi:10.1080/09523987.2017.1407080 fatcat:c6kldetim5afll27gxvwtvhi3i

Analysis of Emotion Recognition Model Using Electroencephalogram (EEG) Signals Based on Stimuli Text

Khodijah Hulliyah Et.al
2021 Turkish Journal of Computer and Mathematics Education  
The dataset of emotional annotation was carried out manually based on four classifications, specifically: happiness, sadness, fear, and anger.  ...  The raw data used comes from the results of scrapping Twitter data.  ...  Electroencephalogram data were recorded using a device for two healthy subjects, and both are male.  ... 
doi:10.17762/turcomat.v12i3.910 fatcat:rrhljfw56fbaxl4bxi3pcjjp5a

A Review on MAS-Based Sentiment and Stress Analysis User-Guiding and Risk-Prevention Systems in Social Network Analysis

Guillem Aguado, Vicente Julián, Ana García-Fornes, Agustín Espinosa
2020 Applied Sciences  
For being able to assess what techniques are available for prevention, works in the detection of sentiment polarity and stress levels of users in SNSs will be reviewed.  ...  We review with special attention works using MAS technologies for user recommendation and guiding.  ...  Implementation of distributed data analysis using big data tools for opinion mining from SNSs.  ... 
doi:10.3390/app10196746 fatcat:m2gqf3utabgtrcvhtbh53hksfq

WaaS architecture-driven depressive mood status quantitative analysis based on forehead EEG and self-rating tool

Zhijiang Wan, Hao Zhang, Jianhui Chen, Haiyan Zhou, Jie Yang, Ning Zhong
2018 Brain Informatics  
Furthermore, an exemplary application of knowledge sharing, which is developed by using ontology technology and Jena inference subsystem, is given to illustrate the preliminary work for annotating data  ...  This method combining physiological sensor data with psychological self-rating data could provide new insights into the pervasive and objective depression evaluation processes in daily life.  ...  Acknowledgements The authors thank other authors of this article for providing many discussions and colleting the portable EEG data and Q-Log data.  ... 
doi:10.1186/s40708-018-0093-y pmid:30515600 pmcid:PMC6429167 fatcat:keobhkl44jdixenq227ecr4t7a

Towards a Standardisation of Computational Models of Affect: OWL and Machine Learning

Gianmarco Tuccini, Luca Baronti, Laura Corti, Roberta Lanfredini
2020 Humana.Mente: Journal of Philosophical Studies  
Their expressivity can be extended, thus promoting the much sought-after standardization in the most theory-neutral way, using OWL (Web Ontology Language) and machine learning techniques.  ...  The supervised machine learning techniques allow the direct learning and application of models described as OWL ontologies.  ...  It's also worth mentioning the Emotiono (OWL) Ontology (Chen et al., 2015) , which is used for electroencephalogram-based emotion assessment.  ... 
doaj:66f2fb7ae8da41749e46bea9d8315f59 fatcat:lnk7vjrdlneabmm26dupep7ctq

Tourist Recommender Systems Based on Emotion Recognition—A Scientometric Review

Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Gustavo Ramirez-Gonzalez
2020 Future Internet  
The review highlights the collection, processing, and feature extraction of data from sensors and wearables to detect emotions.  ...  The study proposes the thematic categories of recommendation systems, emotion recognition, wearable technology, and machine learning.  ...  RS approaches based on data mining techniques take advantage of accessing large amounts of user comments shared on social media.  ... 
doi:10.3390/fi13010002 fatcat:h6hfzyfe5bdw3hvlqinjmrunmq

Tourist Experiences Recommender System Based on Emotion Recognition with Wearable Data

Luz Santamaria-Granados, Juan Francisco Mendoza-Moreno, Angela Chantre-Astaiza, Mario Munoz-Organero, Gustavo Ramirez-Gonzalez
2021 Sensors  
life context of users based on the gathering of HR data.  ...  This study proposes the architecture for a tourist experiences recommender system (TERS) based on the user's emotional states who wear these devices.  ...  With the data from these profiles, similar users were filtered using NLP techniques applied to the username in the ontology to determine its gender.  ... 
doi:10.3390/s21237854 pmid:34883853 fatcat:k6sw3jlv3na7xhg34rgg5bn6vy

Framework for Virtual Cognitive Experiment in Virtual Geographic Environments

Fan Zhang, Mingyuan Hu, Weitao Che, Hui Lin, Chaoyang Fang
2018 ISPRS International Journal of Geo-Information  
further analysis of which visual factors produce a sense of safety for the individual, and second, creating an immersive virtual environment and Electroencephalogram (EEG)-based experimental paradigm  ...  Finally, we present some preliminary findings based on the first method.  ...  Using deep-learning-based data mining methods, new knowledge can be potentially discovered with large-scale survey data.  ... 
doi:10.3390/ijgi7010036 fatcat:ty35lqq5ufdvzpkjcjbh3cam7a

An IoT Approach to Personalised Remote Monitoring and Management of Epilepsy

Sarah A. McHale, Ella Pereira, Udo Weishmann, Mark Hall, Hui Fang
2017 2017 14th International Symposium on Pervasive Systems, Algorithms and Networks & 2017 11th International Conference on Frontier of Computer Science and Technology & 2017 Third International Symposium of Creative Computing (ISPAN-FCST-ISCC)  
The computer science contributions made are a 'cog in the wheel' in this arena, and these stepping stones hope to pave the way for a brighter future in epilepsy monitoring and management.  ...  In this way, the ontology can be used by other users and systems based on the Semantic Web.  ...  Problem-solving methods, domain-independent applications, and software agents use ontologies and knowledge bases built from ontologies as data [101] .  ... 
doi:10.1109/ispan-fcst-iscc.2017.34 dblp:conf/ispan/McHalePWHF17 fatcat:4ragwu3frrax5nlnere2m5xgta

Smart Environments and Social Robots for Age-Friendly Integrated Care Services

Ionut Anghel, Tudor Cioara, Dorin Moldovan, Marcel Antal, Claudia Daniela Pop, Ioan Salomie, Cristina Bianca Pop, Viorica Rozina Chifu
2020 International Journal of Environmental Research and Public Health  
We describe two examples of integrated care services that are using assistive technologies in innovative ways to assess and deliver of timely interventions for polypharmacy management and for social and  ...  We describe the architectural views of these services, focusing on details about technology usage, end-user interaction flows and data models that are developed or enhanced to achieve the envisioned objective  ...  Using the gathered monitored data, these techniques can be used for identifying and assessing certain situations in the older adults' behavior, situations that usually require personalized intervention  ... 
doi:10.3390/ijerph17113801 pmid:32471108 pmcid:PMC7312538 fatcat:ixzlchr75jg57ogggozteo7ene

Assistive Image Comment Robot—A Novel Mid-Level Concept-Based Representation

Yan-Ying Chen, Tao Chen, Taikun Liu, Hong-Yuan Mark Liao, Shih-Fu Chang
2015 IEEE Transactions on Affective Computing  
from online comments, and statistical methods are used to model the correlations among these two types of concepts.  ...  We present a general framework and working system for predicting likely affective responses of the viewers in the social media environment after an image is posted online.  ...  As mentioned earlier, these concepts are explicitly selected based on the typical emotion categories and data mining from images in social media.  ... 
doi:10.1109/taffc.2014.2388370 fatcat:lbyodsmaqrbjdgn7vij6edagxm

Software Mining Studies: Goals, Approaches, Artifacts, and Replicability [chapter]

Sven Amann, Stefanie Beyer, Katja Kevic, Harald Gall
2015 Lecture Notes in Computer Science  
Software repositories include various data, ranging from source control systems, issue tracking systems, artifact repositories such as requirements, design and architectural documentation, to archived  ...  techniques or processes.  ...  The views and opinions expressed in this article are those of the authors and do not necessarily reflect the official policy or position of the funding agency.  ... 
doi:10.1007/978-3-319-28406-4_5 fatcat:a7ea6wry5rbannojga3xqls7f4

MODMA dataset: a Multi-modal Open Dataset for Mental-disorder Analysis [article]

Hanshu Cai, Yiwen Gao, Shuting Sun, Na Li, Fuze Tian, Han Xiao, Jianxiu Li, Zhengwu Yang, Xiaowei Li, Qinglin Zhao, Zhenyu Liu, Zhijun Yao, Minqiang Yang, Hong Peng (+11 others)
2020 arXiv   pre-print
With the rising of tools such as data mining and artificial intelligence, using physiological data to explore new possible physiological indicators of mental disorder and creating new applications for  ...  The dataset includes EEG and audio data from clinically depressed patients and matching normal controls.  ...  With the rising of tools such as data mining and artificial intelligence, using physiological data to explore new possible physiological indicators of mental disorder and creating new applications for  ... 
arXiv:2002.09283v3 fatcat:gifbrzmi6vhl3mwuazlb4ppf7q

Multi-grid cellular genetic algorithm for optimizing variable ordering of ROBDDs

Cristian Rotaru, Octav Brudaru
2012 2012 IEEE Congress on Evolutionary Computation  
The extensive experimental evaluation uses difficult classical benchmarks and proves the efficiency and the stability of the algorithm.  ...  The approach systematically produces better results than the used basic genetic algorithm and better or similar results with other heuristic methods.  ...  394, Dumidu Wijayasekara and Milos Manic, Visual, Linguistic Data Mining Using Self-Organizing Maps 744, Hadautho Silva and Paulo Adeodato, A Data Mining Approach for Preventing Undergraduate Students  ... 
doi:10.1109/cec.2012.6256590 dblp:conf/cec/RotaruB12 fatcat:4ly3nrktw5habc6lf5err7d5py

Perspectives on Cognitive Informatics and Cognitive Computing

Yingxu Wang, George Baciu, Yiyu Yao, Witold Kinsner, Keith Chan, Bo Zhang, Stuart Hameroff, Ning Zhong, Chu-Ren Hunag, Ben Goertzel, Duoqian Miao, Kenji Sugawara (+4 others)
2010 International Journal of Cognitive Informatics and Natural Intelligence  
Cognitive computing is an emerging paradigm of intelligent computing methodologies and systems based on cognitive informatics that implements computational intelligence by autonomous inferences and perceptions  ...  Applications included signal and data compression, signal enhancement, classification, segmentation, and feature extraction in various areas such as real-time speech compression for multimedia, wideband  ...  He was awarded the best paper awards of AMT'06, JSAI'03, IEEE TCII/ICDM Outstanding Service Award in 2004, and Pacific-Asia Conference on Knowledge Discovery and Data Mining (PAKDD) Most Influential Paper  ... 
doi:10.4018/jcini.2010010101 fatcat:zx37bo5m35hbveyln5gcol6p74
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