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  • Consumer Evaluation of Hotel Service Robots

    Open AccessPeer-Reviewed01/01/2018

    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 […]


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  • Enhancing Exercise Experience with Individual Multi-Emotion Provoking Game Elements

    GatedPeer-Reviewed

    Abstract: In this work we present a new affective game design method that includes multi-emotion provoking and continuous game elements. Evaluated with our physical cycling exergaming system it extends our previously designed single emotion game scene approach. In addition we introduce new entertaining content that includes game elements to provoke both physical and mental stress as […]

  • Emotional Journey for an Emotion Provoking Cycling Exergame

    GatedPeer-Reviewed23/11/2017University of the West of Scotland + 2

    Abstract:  In this work we present a novel concept for affective entertainment, which we call Emotional Journey. It provides a dynamic and adaptive story path based on a player’s emotional responses and yields improved accurate recognition of the player’s emotions. We conducted a case study with 25 players to evaluate our concept using our cycling […]

  • Identifying correlation between facial expression and heart rate and skin conductance with iMotions biometric platform

    Open Access15/12/2017University of Windsor

    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

    Open AccessPeer-Reviewed14/12/2017Texas A&M University

    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, […]

  • Mitigating passive fatigue during monotonous drives with thermal stimuli: Insights into the effect of different stimulation durations

    GatedPeer-Reviewed01/05/2019Technical University Chemnitz

    Abstract: Driving on monotonous roads has been shown to cause passive fatigue as even non-sleep-deprived drivers suffer from the lack of stimuli. Consequently, alertness is reduced and the risk of accidents increases. To counteract this risk, measures need to be taken to mitigate driver fatigue. While in the past, some studies have been focused on […]

  • Learning Pain from Action Unit Combinations: A Weakly Supervised Approach via Multiple Instance Learning

    Open AccessPeer-Reviewed01/01/2022University of Illinois at Chicago + 2

    Abstract: Facial pain expression is an important modality for assessing pain, especially when a patient’s verbal ability to communicate is impaired. A set of eight facial muscle-based action units (AUs), which are defined by the Facial Action Coding System (FACS), have been widely studied and are highly reliable means for detecting pain through facial expressions. […]

  • Optimization of menu-labeling formats to drive healthy dining: An eye tracking study

    GatedPeer-Reviewed01/03/2018

    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 […]

  • Objective, computerized video-based rating of blepharospasm severity

    GatedPeer-Reviewed21/10/2016Salk Institute for Biological Studies; Institute for Neural Computation

    Objective: To compare clinical rating scales of blepharospasm severity with involuntary eye closures measured automatically from patient videos with contemporary facial expression software. Methods: We evaluated video recordings of a standardized clinical examination from 50 patients with blepharospasm in the Dystonia Coalition’s Natural History and Biorepository study. Eye closures were measured on a frame-by-frame basis […]

  • JAKE® Multimodal Data Capture System: Insights from an Observational Study of Autism Spectrum Disorder

    Open AccessPeer-Reviewed26/09/2017Janssen Research and Development + 4

    Objective: To test usability and optimize the Janssen Autism Knowledge Engine (JAKE®) system’s components, biosensors, and procedures used for objective measurement of core and associated symptoms of autism spectrum disorder (ASD) in clinical trials. Methods: A prospective, observational study of 29 children and adolescents with ASD using the JAKE system was conducted at three sites in the […]

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