-
The Speed of Perception: The Effects of Over-Speed Video Training on Pitch Recognition in Collegiate Softball Players
Abstract: During interceptive motor tasks, experts demonstrate distinct visual search behavior (from novices) that is reflective of information extraction from optimal environmental cues, which subsequently aids anticipatory movements. While some forms of visual training have been employed in sport, over-speed video training is rarely applied to perceptualâcognitive sport contexts. The purpose of the present study […]
-
M-BERT: Injecting Multimodal Information in the BERT Structure
Abstract: Multimodal language analysis is an emerging research area in natural language processing that models language in a multimodal manner. It aims to understand language from the modalities of text, visual, and acoustic by modeling both intra-modal and cross-modal interactions. BERT (Bidirectional Encoder Representations from Transformers) provides strong contextual language representations after training on large-scale […]
-
Willingness to Pay for Rose Attributes: Helping Provide Consumer Orientation to Breeding Programs
Abstract: Floriculture value exceeds $5.8 billion in the United States. Environmental challenges, market trends, and diseases complicate breeding priorities. To inform breedersâ and geneticistsâ research efforts, we set out to gather consumersâ preferences in the form of willingness to pay (WTP) for different rose attributes in a discrete choice experiment. The responses are modeled in […]
-
A Critical Analysis of FDA Guidance for User Percentile Device Design Criteria Versus Currently Available Human Factors Engineering Data Sources and Industry Best Practices
Abstract: A staggering report was recently released by the International Consortium of Investigative Journalists (ICIJ) indicating that 83,000 deaths and 1.7 million injuries were linked to medical device adverse events reported over the last decade (DĂaz-Struck, 2018). Furthermore, a 2013 report by McKinsey & Company suggested that such adverse events and associated quality issues cost […]
-
Investigation of the dependency of the driversâ emotional experience on different road types and driving conditions
Abstract: The growing sophistication of technologies and sociological advances are major causes for the dramatic change the automotive sector is currently undergoing. To address changes from a human-centered design perspective an improved understanding of the occupantsâ emotional experience and behavior is required. Facial-Expression Analysis (FEA) is an emerging tool in support of such an approach, […]
-
Locally Confined Modality Fusion Network with a Global Perspective for Multimodal Human Affective Computing
Abstract: In this paper, we propose a novel multimodal fusion framework, named locally confined modality fusion network (LMFN), that contains a bidirectional multiconnected LSTM (BM-LSTM) to address the multimodal human affective computing problem. Instead of conducting fusion only on a holistic level, we propose a hierarchical fusion strategy that considers both local and global interactions […]
-
Examining Course Layouts in Blackboard: Using Eye-Tracking to Evaluate Usability in a Learning Management System
Abstract: This paper describes an exploratory usability study designed to investigate how college students locate information in a Learning Management System and to establish a set of guidelines for creating the best course layouts that can increase the studentâs learning experience. Using observations, perception survey data, and a high-fidelity eye-tracker that recorded where participantsâ eyes […]
-
Does the magnitude of relative calorie distance affect food consumption?
Abstract: Can the magnitude of the calorie distance between food items explain the contradictory findings in previous literature regarding the impact of calorie labeling laws? Our theoretical model suggests that the relative calorie difference between alternatives in food menus is a missing link important for understanding the impact of calorie labeling information on calorie intake […]
-
Divide, Conquer and Combine: Hierarchical Feature Fusion Network with Local and Global Perspectives for Multimodal Affective Computing
Abstract: We propose a general strategy named âdivide, conquer and combineâ for multimodal fusion. Instead of directly fusing features at holistic level, we conduct fusion hierarchically so that both local and global interactions are considered for a comprehensive interpretation of multimodal embeddings. In the âdivideâ and âconquerâ stages, we conduct local fusion by exploring the […]
-
A comparison of the effectiveness of two types of deceit detection training methods in older adults
Abstract: Background In general, people are poor at detecting deception. Older adults are even worse than young adults at detecting deceit, which might make them uniquely vulnerable to certain types of financial fraud. One reason for poor deceit detection abilities is that lay theories of cues to deception are not valid. This study compared the […]
iMotions is used for some of the most interesting human behavior research studies carried out by top researchers around the world. Contact us to have your publication featured here.
The authors of these publications have used iMotions as a software tool within their research.
10 Most Popular Blogs
- How biosensors increase insights into maternal responses to infants
- Our Top 50 Human Behavior Experts to Follow in 2017
- How to reveal deceptive behavior with eye tracking
- Top 5 Publications of 2022
- Top 11 Eye Tracking Hardware Companies (Ranked)
- Top 5 EEG Research Articles
- 10 Free Eye Tracking Software Programs [Pros and Cons]
- The Psychophysics of Attraction
- 10 TED Talks About Human Behavior Worth Watching
- The Future of Therapy – VR and Biosensors
Publications
Read publications made possible with iMotions
Blog
Get inspired and learn more from our expert content writers
Newsletter
A monthly close up of latest product and research news