Proceedings of the ACM on Human-Computer Interaction

In 2022, ETRA moved its publication of full papers to a journal-based model, and we are delighted to present the second issue of the Proceedings of the ACM on Human-Computer Interaction to focus on contributions from the Eye Tracking Research and ...

There has been increasing interest in non-invasive predictors of Alzheimer's disease (AD) as an initial screen for this condition. Previously, successful attempts leveraged eye-tracking and language data generated during picture narration and reading ...

Enabling gaze interaction in real-time on handheld mobile devices has attracted significant attention in recent years. An increasing number of research projects have focused on sophisticated appearance-based deep learning models to enhance the precision ...

In order to develop future implicit interactions, it is important to understand the duration a user needs to recognize a visual object. By providing interactions that are triggered after a user recognizes an object, confusion resulting from the ...

Region selection is a fundamental task in interactive systems. In 2D user interfaces, users typically use a rectangle selection tool to formulate a region using a mouse or touchpad. Region selection in 3D spaces, especially in Augmented Reality (AR) Head-...

Image classification models are becoming a popular method of analysis for scanpath classification. To implement these models, gaze data must first be reconfigured into a 2D image. However, this step gets relatively little attention in the literature as ...

Eye movements during reading offer insights into both the reader's cognitive processes and the characteristics of the text that is being read. Hence, the analysis of scanpaths in reading have attracted increasing attention across fields, ranging from ...

We propose a new gaze-initialised optimisation framework to generate aesthetically pleasing image crops based on user description. We extended the existing description-based image cropping dataset by collecting user eye movements corresponding to the ...

Although eye tracking brings many benefits to users of mobile devices and developers of mobile applications, it poses significant privacy risks to both: the users of mobile devices, and the bystanders that surround users, are within the front-facing ...

This paper proposes a novel evaluation framework, termed "critical evaluation periods," for evaluating continuous gaze prediction models. This framework emphasizes prediction performance when it is most critical for gaze prediction to be accurate ...

Eye movement data provides valuable insights that help test hypotheses about a software developer's comprehension process. The pupillary response is successfully used to assess mental processing effort and attentional focus. Relatively little is known ...

Neural source code summarization is the task of generating natural language descriptions of source code behavior using neural networks. A fundamental component of most neural models is an attention mechanism. The attention mechanism learns to connect ...

Eye-tracking has become easier to deploy in user experience (UX) studies to get a sense of where users attend to during interactions. Additionally, mouse tracking grants insights into the cognition driving the user's behaviours and end goals, as can ...

The paper contributes to scanpath bundling methods. We propose an analytical approach for statistical comparisons of aggregated scanpath visualizations by means of second-order gaze analysis metrics. The present study explores differences in attention ...