Research & Science
Publications
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2018 EMNLP 2018 Open Access Peer-Reviewed
Multimodal Language Analysis with Recurrent Multistage Fusion
Carnegie Mellon University
Abstract: Computational modeling of human multimodal language is an emerging research area in natural language processing spanning the language, visual and acoustic modalities. Comprehending multimodal language requires modeling not only the interactions within each modality (intra-modal interactions) but more importantly the interactions between modalities (cross-modal interactions). In this paper, we propose the Recurrent Multistage Fusion Network […]
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2018 Journal of Imaging Open Access Peer-Reviewed
User-Centered Predictive Model for Improving Cultural Heritage Augmented Reality Applications: An HMM-Based Approach for Eye-Tracking Data
Universitá Politecnica delle Marche
Abstract: Today, museum visits are perceived as an opportunity for individuals to explore and make up their own minds. The increasing technical capabilities of Augmented Reality (AR) technology have raised audience expectations, advancing the use of mobile AR in cultural heritage (CH) settings. Hence, there is the need to define a criteria, based on users’ preference, […]
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2018 Proceedings of the 20th Congress of the International Ergonomics Association (IEA 2018) Conference paper Gated Peer-Reviewed
Seat Comfort Evaluation Using Face Recognition Technology
Embraer SA + 1 more
Abstract: One of the difficulties inherent to comfort assessment is to translate comfort perception into quantifiable variables in order to measure it and use this result to improve seat comfort. This study describes the opportunities of using facial expressions recognition technology to compare comfort perception of two aircraft seats installed in a representative environment. Facial […]
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2018 Psychiatry Research Gated Peer-Reviewed
Subtle behavioural responses during negative emotion reactivity and down-regulation in bipolar disorder: A facial expression and eye-tracking study
The Copenhagen Affective Disorder Research Center (CADIC), Copenhagen University Hospital + 1 more
Abstract: Abnormal processing of emotional information and regulation are core trait-related features of bipolar disorder (BD) but evidence from behavioural studies is conflicting. This study aimed to investigate trait-related abnormalities in emotional reactivity and regulation in BD using novel sensitive behavioural measures including facial expressions and eye movements. Fifteen patients with BD in full or […]
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2018 CEUR Workshop Open Access Peer-Reviewed
Towards Automated Pain Detection in Children using Facial and Electrodermal Activity
UC San Diego + 3 more
Abstract: Accurately determining pain levels in children is difficult, even for trained professionals and parents. Facial activity and electrodermal activity (EDA) provide rich information about pain, and both have been used in automated pain detection. In this paper, we discuss preliminary steps towards fusing models trained on video and EDA features respectively. We demonstrate the […]
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2018 European Journal of Social Sciences Education and Research Open Access Peer-Reviewed
A Case-Study in Neuromarketing: Analysis of the Influence of Music on Advertising Effectivenes through Eye-Tracking, Facial Emotion and GSR
Complutense University of Madrid
Abstract: Music plays an important role in advertising. It exerts strong influence on the cognitive processes of attention and on the emotional processes of evaluation and, subsequently, in the attributes of the product. The goal of this work was to investigate these mechanisms using eye-tracking, facial expression and galvanic skin response (GSR). Nineteen university women […]
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2018 European Advertising Academy, Advances in Advertising Research IX Open Access Peer-Reviewed
Emotion in a 360-Degree vs. Traditional Format Through EDA, EEG and Facial Expressions
Universidad Politécnica de Valencia
Abstract: Digital video advertising is growing exponentially. It is expected that digital video ad spending of the US will see double-digit growth annually through 2020 (eMarketer, 2016). Moreover, advertisers are spending on average more than $10 million annually on Digital Video, representing an 85% increase from 2 years (iab, 2016). This huge increase is mediated by […]
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2018 HCI '18: Proceedings of the 32nd International BCS Human Computer Interaction Conference Gated Peer-Reviewed
Get Your Project Funded: Using Biometric Data to Understand What Makes People Trust and Support Crowdfunding Campaigns
Edinburgh Napier University + 1 more
Abstract: Creating a good crowdfunding campaign is difficult. By understanding why people contribute to crowdfunding campaigns we can make campaigns better and raise more money. Crowdfunding websites allow entrepreneurs to make a pitch, which is watched by potential funders. This article describes a pilot of an experiment that measures how people react to both successful […]
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2018 Proceedings of the 32nd International BCS Human Computer Interaction Conference (HCI) Open Access Peer-Reviewed
User Centred Design of Social Signals Feedback for Communication Skills Training
Brunel University London
Abstract: Affective technologies enable the automatic recognition of human emotional expressions and nonverbal signals which play an important part in effective communication. This paper describes the use of user-centred design techniques to establish display designs suitable for feeding back recognised emotional and social signals to trainees during communication skills training. The channels of communication investigated […]
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2018 Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics Open Access Peer-Reviewed
Multimodal Language Analysis in the Wild: CMU-MOSEI Dataset and Interpretable Dynamic Fusion Graph
Carnegie Mellon University
Abstract: Analyzing human multimodal language is an emerging area of research in NLP. Intrinsically human communication is multimodal (heterogeneous), temporal and asynchronous; it consists of the language (words), visual (expressions), and acoustic (paralinguistic) modalities all in the form of asynchronous coordinated sequences. From a resource perspective, there is a genuine need for large scale datasets that […]
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