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Toward A Companion Robot Fostering Perseverance in Math: A Pilot Study
Abstract: Challenging math problems without immediate solutions often invite students to ride an “emotional roller-coaster” through episodes of confusion, frustration, surprise and joy. Those problem solving experiences provide rich opportunities to cultivate mathematical perseverance, the mentality to forge ahead in face of ambiguity or difficulty. An ideal teacher closely monitors the problem solving process and […] -
Optimization of menu-labeling formats to drive healthy dining: An eye tracking study
Abstract: This study examines customers’ visual attention when choosing food and beverage items of a fast-food menu. Three formats on menu labeling were examined, including numeric, color-coded, and physical activity-based formats. An experimental choice paradigm combined with eye tracking technology explored customers’ visual attention, preferences for format, and menu choices. The study revealed that customers […] -
The Face of Contagion: Consumer Response to Service Failure Depiction in Online Reviews
Purpose:Â Online consumer reviews (OCRs) have emerged as a particularly important type of user-generated information about a brand because of their widespread adoption and influence on consumer decision-making. Much of the existing OCR research focuses on quantifiable OCR features such as star ratings and volume. More research that examines the influence of review elements, aside from […] -
Psychopathic Men: Deficits in General Mental Ability, Not Emotion Perception
Abstract: Psychopathy is characteristically associated with deficits in emotion perception; however, findings surrounding this deficit are actually quite mixed. This is most likely due to limitations of study methodology, including the use of tasks with unknown or poor psychometric properties, underpowered samples, and a lack of control for third variables. We present a study that […] -
Sensing and Learning Human Annotators Engaged in Narrative Sensemaking
Abstract: While labor issues and quality assurance in crowdwork are increasingly studied, how annotators make sense of texts and how they are personally impacted by doing so are not. We study these questions via a narrative-sorting annotation task, where carefully selected (by sequentiality, topic, emotional content, and length) collections of tweets serve as examples of […] -
Unsold is unseen … or is it? Examining the role of peripheral vision in the consumer choice process using eye-tracking methodology
In visual marketing, the truism that “unseen is unsold” means that products that are not noticed will not be sold. This truism rests on the idea that the consumer choice process is heavily influenced by visual search. However, given that the majority of available products are not seen by consumers, this article examines the role […] -
Consumer Evaluation of Hotel Service Robots
Abstract: In light of the trend in integrating artificial intelligence and robotics into tourism and hospitality operations, it is important to understand consumer responses to hotel service robots. Two studies were conducted to achieve this objective: an online survey and a laboratory experiment using measurements of automatic emotional reactions via biosensors. Responses to two types […] -
Self-control: Knowledge or perishable resource?
Abstract: The self-control literature suggests two main short-run models with contradictory predictions. By perceiving self-control as a knowledge or perishable resource, those models report a positive and negative impact, respectively, of an initial self-control act on subsequent self-control ability. Using biometric data to monitor compliance enabled us to develop a unified self-control model, reconciling the […] -
Identifying correlation between facial expression and heart rate and skin conductance with iMotions biometric platform
Abstract: Emotional reactions are stimulated when humans are presented with a stimulus, triggering a series of voluntary and involuntary responses. Human emotions can be measured from facial expressions and physiological processes. The iMotions biometric platform can detect and analyze the responses of different individuals, which are personalized. The iMotions software allows for the quantification of seven […] -
Reducing Brain Signal Noise in the Prediction of Economic Choices: A Case Study in Neuroeconomics
Abstract: In order to reduce the noise of brain signals, neuroeconomic experiments typically aggregate data from hundreds of trials collected from a few individuals. This contrasts with the principle of simple and controlled designs in experimental and behavioral economics. We use a frequency domain variant of the stationary subspace analysis (SSA) technique, denoted as DSSA, […]
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