Articles tagged with Eye Tracking
Researchers found that speed, accuracy, and clear error messages are crucial for eye-tracking systems to succeed. A new biometric technique identifies users based on their eye movements, offering a potential alternative to traditional passwords.
A University of British Columbia study found that dominance and prestige, not likability, are crucial for gaining leadership. The researchers used eye-tracking technology to measure attention, revealing that people prefer dominant leaders over those with high social skills.
Researchers at UPNA aim to create affordable, high-precision eye tracking systems for applications beyond assisting people with disabilities. They have developed a database of over 100 users and are working on algorithms to detect pupil position and gaze direction.
A new study published in JoVE demonstrates a method for using eye-tracking technology to study young children with autism. The research aims to answer questions about how children with developmental abnormalities view the world, including their perception of faces.
A new technique using subtle gaze direction guides novice radiologists to follow expert scanpaths, improving accuracy in reading mammograms. This high-tech approach shows promise for training medical image interpretation and could be applied to various visual search tasks.
Researchers used eye-tracking technology to find that dogs are receptive to human communication in a manner similar to young children, responding more to verbal cues and intentions than just words. Dogs' brains show sensitivity to communicative intent through verbal addressing and eye contact.
A new eye-tracking study found that consumers' self-reported viewing of Nutrition Facts label components was higher than objectively measured viewing. Centrally located labels were viewed more frequently and for longer periods than those located peripherally, with key nutrients nearer the top being viewed most often.
A novel system combines eye-tracking technology with CAD tools to recover intuitive design elements suppressed by digital technologies. The 'Designing with Vision' system allows designers to work fluidly with machines, combining human ingenuity and machine-based digital technology.
A recent study by Linda Ng Boyle found that an in-car coach using eye tracking technology significantly reduced the time until collision among high-risk young drivers, more than doubling their time. The system provided continual feedback to drivers who needed it most, leading to a significant improvement in their driving behavior.
A customized medical-image database is being developed with input from dermatologists and incorporating novel eye-tracking techniques to identify critical regions in images. The project aims to bridge the semantic gap in content-based image retrieval by leveraging end-user knowledge and expertise.
Researchers at the University of Exeter found that using the Quiet Eye technique can significantly improve putting accuracy in golfers. This method involves focusing on a specific spot on the ball for up to 3 seconds before and during the stroke. By doing so, golfers can reduce pressure and increase their chances of sinking crucial putts.
A University of Exeter study found exercise decreases attention to smoking-related images, with participants spending 11% less time looking at these images after exercising. This suggests exercise can help reduce interest in and salience of smoking cues, making it easier for smokers to quit.
A team of researchers is using eye-tracking technology to study how experienced geologists view landscapes and identify clues to important discoveries. The project aims to reduce training costs by providing simulated field training, which could also give prospective geologists more 'field' experience.
UC San Diego computer scientists found that people first fixate on the left of the center of the nose and then the center of the nose to determine if a face is familiar. Looking at two spots, such as the nose and eye, does not improve recognition, but allows for better performance. Understanding how humans recognize faces may help crea...
Researchers studied how our brains process faces and found that looking at the nose is crucial for face recognition. The study showed that making two fixations, rather than one, leads to better performance in recognizing faces.
A team of scientists has made significant progress in understanding how the brain controls eye movement, particularly when tracking fast-moving objects. The study found that gain control, a phenomenon where the brain adapts eye movement to object speed, is determined by specific neural networks in the frontal eye fields.
A new study using eye-tracking software found that consumers focus on ads based on their goals, such as memorization or learning about a brand. The researchers suggest that understanding these goals is crucial for effective advertising.
Researchers found that older participants preferred happy faces and avoided angry ones, while younger subjects showed a preference for fearful faces. This study challenges traditional views on how age affects emotional processing and suggests a more positive outlook in older adults.
Researchers at RIT have created a wearable eye tracker that enables subjects to wear the technology outside of the laboratory and even outdoors. The device tracks how eye movements support perception and what people pay attention to in order to gather information for everyday activities.