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We present results of a replication study on smartwatch visualizations with adults aged 65 and older. The older adult population is rising globally, coinciding with their increasing interest in using small wearable devices, such as…

Human-Computer Interaction · Computer Science 2024-09-18 Zack While , Tanja Blascheck , Yujie Gong , Petra Isenberg , Ali Sarvghad

We present the results of a study comparing the performance of younger adults (YA) and people in late adulthood (PLA) across ten low-level analysis tasks and five basic visualizations, employing Bayesian regression to aggregate and model…

Human-Computer Interaction · Computer Science 2025-03-05 Zack While , Ali Sarvghad

This study examines the impact of positive and negative contrast polarities (i.e., light and dark modes) on the performance of younger adults and people in their late adulthood (PLA). In a crowdsourced study with 134 participants (69 below…

Human-Computer Interaction · Computer Science 2024-12-16 Zack While , Ali Sarvghad

Research has shown that an audiences' age impacts their engagement in digital media. Interactive narrative visualization is an increasingly popular form of digital media that combines data visualization and storytelling to convey important…

Human-Computer Interaction · Computer Science 2025-07-23 Nina Errey , Yi Chen , Yu Dong , Quang Vinh Nguyen , Xiaoru Yuan , Tuck Wah Leong , Christy Jie Liang

Knowledge of the human visual system helps to develop better computational models of visual attention. State-of-the-art models have been developed to mimic the visual attention system of young adults that, however, largely ignore the…

Computer Vision and Pattern Recognition · Computer Science 2019-04-23 Onkar Krishna , Kiyoharu Aizawa , Andrea Helo , Rama Pia

The existing computational visual attention systems have focused on the objective to basically simulate and understand the concept of visual attention system in adults. Consequently, the impact of observer's age in scene viewing behavior…

Computer Vision and Pattern Recognition · Computer Science 2019-04-30 Onkar Krishna , Kiyoharu Aizawa , Go Irie

Considered the increasing use of assistive technologies in the shape of virtual agents, it is necessary to investigate those factors which characterize and affect the interaction between the user and the agent, among these emerges the way…

Human-Computer Interaction · Computer Science 2024-04-17 Terry Amorese , Marialucia Cuciniello , Alessandro Vinciarelli , Gennaro Cordasco , Anna Esposito

How people look at visual information reveals fundamental information about themselves, their interests and their state of mind. While previous visual attention models output static 2-dimensional saliency maps, saccadic models aim to…

Computer Vision and Pattern Recognition · Computer Science 2017-02-16 Olivier Le Meur , Antoine Coutrot , Zhi Liu , Adrien Le Roch , Andrea Helo , Pia Rama

Human visual perception is a complex, dynamic and fluctuating process. In addition to the incoming visual stimulus, it is affected by many other factors including temporal context, both external and internal to the observer. In this study…

Neurons and Cognition · Quantitative Biology 2020-07-01 Urit Gordon , Shimon Marom , Naama Brenner

In various fields, including medicine, age distributions are crucial. Despite widespread media coverage of health topics, there remains a need to enhance health communication. Narrative medical visualization is promising for improving…

Human-Computer Interaction · Computer Science 2024-09-27 Sophia Dowlatabadi , Bernhard Preim , Monique Meuschke

Despite the explosive growth of the aging population worldwide, older adults have been largely overlooked by visualization research. This paper is a critical reflection on the underrepresentation of older adults in visualization research.…

Human-Computer Interaction · Computer Science 2024-06-06 Zack While , R. Jordan Crouser , Ali Sarvghad

This paper presents a novel approach for accurately estimating age from face images, which overcomes the challenge of collecting a large dataset of individuals with the same identity at different ages. Instead, we leverage readily available…

Computer Vision and Pattern Recognition · Computer Science 2023-08-24 Yeongnam Chae , Poulami Raha , Mijung Kim , Bjorn Stenger

It is our conjecture that the variability of colors in a pathology image effects the interpretation of pathology cases, whether it is diagnostic accuracy, diagnostic confidence, or workflow efficiency. In this paper, digital pathology…

Computer Vision and Pattern Recognition · Computer Science 2015-07-01 Ali R. N. Avanaki , Kathryn S. Espig , Sameer Sawhney , Liron Pantanowitz , Anil V. Parwani , Albert Xthona , Tom R. L. Kimpe

Age dependent performance disparities in medical image classification often arise because age acts as a confounder, linking imaging morphology with disease prevalence. In practice, disparities can manifest as overdiagnosis at ages where…

Computer Vision and Pattern Recognition · Computer Science 2026-05-20 Nikhil Cherian Kurian , Victor Caquilpan Parra , Abin Shoby , Luke Whitbread , Lyle J. Palmer

Visualizations support critical decision making in domains like health risk communication. This is particularly important for those at higher health risks and their care providers, allowing for better risk interpretation which may lead to…

Human-Computer Interaction · Computer Science 2025-09-23 Jade Kandel , Jiayi Liu , Arran Zeyu Wang , Chin Tseng , Danielle Szafir

The human visual system contains a hierarchical sequence of modules that take part in visual perception at different levels of abstraction, i.e., superordinate, basic, and subordinate levels. One important question is to identify the…

Neurons and Cognition · Quantitative Biology 2018-03-12 Matin N. Ashtiani , Saeed Reza Kheradpisheh , Timothée Masquelier , Mohammad Ganjtabesh

Graphical perception studies typically measure visualization encoding effectiveness using the error of an "average observer", leading to canonical rankings of encodings for numerical attributes: e.g., position > area > angle > volume. Yet…

Human-Computer Interaction · Computer Science 2022-12-22 Russell Davis , Xiaoying Pu , Yiren Ding , Brian D. Hall , Karen Bonilla , Mi Feng , Matthew Kay , Lane Harrison

Alternative text is critical in communicating graphics to people who are blind or have low vision. Especially for graphics that contain rich information, such as visualizations, poorly written or an absence of alternative texts can worsen…

Human-Computer Interaction · Computer Science 2021-08-10 Crescentia Jung , Shubham Mehta , Atharva Kulkarni , Yuhang Zhao , Yea-Seul Kim

We explore social perception of human faces in CLIP, a widely used open-source vision-language model. To this end, we compare the similarity in CLIP embeddings between different textual prompts and a set of face images. Our textual prompts…

Computer Vision and Pattern Recognition · Computer Science 2025-09-16 Carina I. Hausladen , Manuel Knott , Colin F. Camerer , Pietro Perona

Presbyopia, a common age-related vision condition affecting most people as they age, often remains inadequately understood by those unaffected. To help bridge the gap between abstract accessibility knowledge and a more grounded appreciation…

Human-Computer Interaction · Computer Science 2026-02-10 Qing Zhang , Zixiong Su , Yoshihito Kondoh , Kazunori Asada , Thad Starner , Kai Kunze , Yuta Itoh , Jun Rekimoto
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