This paper introduces an efficient compression scheme—Z-lossless (ZLS)—for video applications with depth streams. ZLS utilizes a novel histogram compression module together with a customized predictor-corrector model and an entropy coder based on ...

The use of image-schematic metaphors is often promoted for being near-universal across user groups, suggesting that these metaphors have the potential to make novel interactive systems easy to use by both younger and older adults. This study empirically ...

This article for the Hot-off-the-Press track at GECCO 2024 summarizes recent work titled 'Evo-Panel: Dynamic Visualization Tool for Optimization Process', published in IEEE Transactions on Emerging Topics in Computational Intelligence [4]. We believe ...

This panel commemorates the 50th anniversary of the IFIP TC2 Working Conference on Command Languages (CCL) and the 30th anniversary of the workshop series on Design Specification and Verification of Interactive Systems (DSV-IS), and uses that ...

On-device machine learning (ML) moves computation from the cloud to personal devices, protecting user privacy and enabling intelligent user experiences. However, fitting models on devices with limited resources presents a major technical challenge: ...

On-device machine learning (ML) promises to improve the privacy, responsiveness, and proliferation of new, intelligent user experiences by moving ML computation onto everyday personal devices. However, today’s large ML models must be drastically ...

Currently, interactive systems use physiological sensing to enable advanced functionalities. While eye tracking is a promising means to understand the user, eye tracking data inherently suffers from missing data due to blinks, which may result in ...

Question-answering systems are recognized as popular and frequently effective means of information seeking on the web. In such systems, information seekers can receive a concise response to their queries by presenting their questions in natural language. ...

Over the past few years, consumer behavior has shifted from traditional in-store shopping to online shopping. For example, eCommerce sales have grown from around 5% of total US sales in 2012 to around 15.4% in year 2023. This rapid growth of eCommerce ...

Music interventions have been proven effective in activating people living with dementia, even in the advanced stages of the disease. Alongside music, sound-based activities are vital for the care of those affected. However, the use of sound-based ...

In this paper, we will look at sympathetic resonance as seen in South Asian instruments as a source of complex performer-instrument interaction. In particular, we will compare this rich tradition to the various types of human/machine interactions that ...

Eye tracking is the basis for many intelligent systems to predict user actions. A core challenge with eye-tracking data is that it inherently suffers from missing data due to blinks. Approaches such as intent prediction and user state recognition ...

The Workgroup on Interactive Systems in Healthcare (WISH) connects academic and industry researchers across human-computer interaction, medical informatics, health informatics, digital health, and beyond to foster a community around innovations in ...

Animations can come to life when they are synchronized with relevant sounds. Yet, synchronizing animations to audio requires tedious key-framing or programming, which is difficult for novice creators. There are existing tools that support audio-driven ...

Presenters often collect audience feedback through practice talks to refine their presentations. In formative interviews, we find that although text feedback and verbal discussions allow presenters to receive feedback, organizing that feedback into ...

Metro maps are one of the main ways for users of the public transport system to orient themselves and plan trips. Designing good metro maps is a complex task, the automation of which has been widely studied. Despite this, human-designed maps are still of ...

Although voice assistants are increasingly being adopted by older adults, we lack empirical research on how they interact with these devices for health information seeking. Also, prior work shows how voice assistant responses can provide misleading or ...

The confusion matrix, a ubiquitous visualization for helping people evaluate machine learning models, is a tabular layout that compares predicted class labels against actual class labels over all data instances. We conduct formative research with machine ...

Developing interactive systems and testing with realistic scenarios requires a detailed understanding of how these systems are used in their real environment. In this paper, we report on our experience from implementing a usage monitoring approach for ...

This issue of the Proceedings of the ACM on Human-Computer Interaction features contributions in the intersection of human-computer interaction and software engineering, with further disciplines blending into a rich set of scientific works. 2021 is the ...