Existing eye tracking software have certain limitations, especially with respect to monitoring reading online: (1) Most eye tracking software record eye tracking data as raw coordinates and stimuli as screen images/videos, but without inherent links ...

Gaze-based user interfaces and interactions are becoming more prevalent in augmented and virtual reality (AR/VR). The effectiveness of eye tracking for interaction depends on its quality. Many studies discuss eye tracking as an input and interaction ...

This paper aims to advance the fields of unsupervised data labeling and incremental cross-domain training techniques. We apply these innovative methods to develop a model tailored for the Augmentative and Alternative Communication (AAC) application ...

In this paper we introduce four bi-directional interaction techniques that sit between smartwatches and head-mounted displays (HMDs): gaze dwell, gaze and tap, mid-air touch, and trackpad. Our goal is to expand the input and output space of smartwatches ...

Computer-based applications incorporating eye-tracking technologies (ETs) and serious games (SGs) promise support for managing health problems. ETs can help to understand better how the eyes function, and SGs can contribute to higher user experiences and ...

Early detection of Alzheimer’s disease (AD) is important but difficult. Screening for AD using neuropsychological tests such as mini-mental state examination (MMSE) is time-consuming and burdensome for patients. Recently, several methods have been ...

We present LookToFocus, a method to perform real-time manual camera focus based on eye tracking. LookToFocus and two alternative methods for manual focus1 photography tasks were compared in a user study. A novel manual focus camera simulation was used ...

When presented with the same question about an image, human annotators often give valid but disagreeing answers indicating that their reasoning was different. Such differences are lost in a single ground truth label used to train and evaluate visual ...

A novel low-power and easy to integrate sensing configuration for wearable eye tracking is presented. Within the context of infrared oculography based on individual photosensors, we proposed to couple a set of photodetectors to the lateral edges of a ...

Physiological sensing enables us to use advanced adaptive functionalities through physiological data (e.g., eye tracking) to change conditions. In this work, we investigate the impact of infilling methods on LSTM models’ performance in handling missing ...

All-day augmented reality (AR) requires contextually-aware artificial intelligence (AI) models that excel across diverse daily contexts. Eye tracking could be a key source of information about user context and intention. However, such models using gaze ...

Recent research underscored the resurgence of webcam-based eye tracking as a cost-effective, ecologically valid, and scalable choice, attributed to advancements in machine learning-assisted calibration methods. Online gambling poses a public health ...

SARA integrates Eye Tracking and state-of-the-art large language models in a mixed reality framework to enhance the reading experience by providing personalized assistance in real-time. By tracking eye movements, SARA identifies the text segments that ...

Eye tracking enables the implementation of gaze-contingent visual impairment simulations, holding promise for research, clinical uses, and demonstrations. While head-mounted displays (HMDs) are common for such simulations, screen-based implementations ...

Just as there are numerous ways to cook an egg, there are numerous ways to recreate a YouTube video of cooking an omelette. We created a dataset of 10 academics replicating a viral video of making an omelette. We evaluated the saccade behavior during ...

Preserving cultural heritage is paramount for societal and historical identity. Paintings, spanning ancient to modern eras, are pivotal subjects under constant scrutiny. As art reflects human creativity, studying human visual behavior toward paintings ...

Eye movements require neuronal processing of visual stimuli and transmission of motor commands to the eye muscles. The brain circuitry and cortical regions responsible for sensory-motor transformations are generally understood, but deciphering the ...

This poster presents a study on detecting Alzheimer’s disease (AD) using deep learning from gaze data. In this study, we modify an existing pre-trained deep neural network model, gazeNet, for transfer learning. The results suggest the possibility of ...

Change of reward expectation during a competitive card game was evaluated using pupil responses. In order to simulate interactive play of participants in a poker game, the game process was fully controlled by the computer player. As a result, pupil ...

We introduce a novel application of a computerized version of the Trail Making Test (c-TMT), designed to track hand and eye movements during multiple trials to tackle the main limitations of the classic pen-and-pencil version. Adults with mild cognitive ...