Abstract: Drivers in negative emotional states, such as anger or sadness, are prone to perform bad at driving, decreasing overall road safety for all road users. Recent advances in affective computing, however, allow for the detection of such states and give us tools to tackle the connected problems within automotive user interfaces. We see potential […]

Abstract: For advertisers, attracting attention to video marketing stimuli is paramount to building and refreshing consumers’ brand memories and increasing their propensity to purchase. Research has demonstrated brand users are more likely to recall advertising, possibly suggesting a brand’s commercials draw more attention from current users than potential new customers. Testing whether prior brand usage […]

Floral designers have long been taught that the most important attributes of a floral design are the elements of line, color, texture, pattern, form, space, and size. Yet, little formal research has been conducted to determine which of these design elements are truly important to consumers and drive their purchasing behavior. This project, co-funded by […]

Abstract: This study aims to examine how taboo content affects language learner psychology and language learning gains in a multi-modal learning environment by using facial expression analysis. 40 Muslim language learners were initially asked about their opinions on pork and watched a subtitled cooking video including pork visuals and their facial expressions were recorded. Before […]

Abstract: The impact of built environment on the human restorativeness has long been argued; however, the interrelations between neuroscience and the built environment, and the degree to which the built environment contributes to increased human restorativeness has not been completely understood yet. Understanding the interrelations between neuroscience and the built environment is critical as 90% […]

Abstract: Our previous research found that a combination of sensory attribute intensity and emotional responses helps in achieving better understanding of consumer acceptance and preference for basic taste solutions. By applying this finding to beverage samples, this study aimed to develop an optimum model of predicting either overall liking or preference of vegetable juice products […]

Abstract: Today, intelligent machines interact and collaborate with humans in a way that demands a greater level of trust between human and machine. A first step towards building intelligent machines that are capable of building and maintaining trust with humans is the design of a sensor that will enable machines to estimate human trust level […]

Abstract: It remains uncertain regarding the safety of driving in autonomous vehicles that, after a long, passive control and inattention to the driving situation, how the drivers will be effectively informed to take-over the control in emergency. In particular, the active role of vehicle force feedback on the driver’s risk perception on curves has not been […]

Abstract: Facial expression is impaired in autism spectrum disorder (ASD), but rarely systematically studied. We focus on the ability of individuals with ASD to produce facial expressions of emotions in response to a verbal prompt. We used the Janssen Autism Knowledge Engine (JAKE®), including automated facial expression analysis software (FACET) to measure facial expressions in individuals […]

Abstract: In social situations facial expressions are often strategically employed. Despite the many research on motor control of limb movements, little is known about the control over facial expressions. Using a response-priming task, we investigated motor control over three facial expressions, smiles, disgust and emotionally neutral jaw drops. Prime stimuli consisted of videos of a facial […]