Abstract: Technological and sociological developments in the automotive sector are shifting the focus of design towards developing a better understanding of driver needs, desires and emotions. Human-centred design methods are being more frequently applied to automotive research, including the use of systems to detect human emotions in real-time. One method for a non-contact measurement of […]

Abstract: Brand identification has the potential of shaping individuals’ attitudes, performance and commitment within learning and work contexts. We explore these effects, by incorporating elements of branded identification within gamified environments. We report a study with 44 employees, in which task performance and emotional outcomes are assessed in a real-world assembly scenario – namely, while […]

Abstract: Advertising researchers do not understand fully the impact different advertisement placement and delivery vehicles have on the mobile user’s experience. To better grasp the mobile user’s experience in real time, the authors collected data streams garnered from the brain and body, including visual fixations, heart rate, electroencephalography, skin conductance, and facial affect. The data helped […]

Abstract: Affect inextricably plays a critical role in the learning process. In this study, we investigate the multimodal fusion of facial, keystrokes, mouse clicks, head posture and contextual features for the detection of student’s frustration in an Affective Tutoring System. The results (AUC=0.64) demonstrated empirically that a multimodal approach offers higher accuracy and better robustness […]

Abstract: This study aimed at determining, based on independent predictors of taste intensity and emotional response, whether individual personality traits could affect prediction models of overall liking and preference rank toward basic taste solutions. Sixty-seven participants rated taste intensities (TI) of four basic-taste solutions at both low and high concentrations, and of plain water. Emotional responses […]

Abstract: It is known that varying degrees of concentration could lead to the change of body property such as skin conductance level. Through our experiments in the present study, assuming concentration related to skin conductance level, we use skin conductance variety detected using a compact and wearable galvanic skin response (GSR) sensor to investigate the […]

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 […]

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, […]

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 […]

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 […]