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This study investigates how cinematographic techniques influence viewer perception and contribute to the objectification of women, utilizing eye-tracking data from 91 participants. They watched a sexualized music video (SV) known for…

Human-Computer Interaction · Computer Science 2025-04-15 Parth Maradia , Ayushi Agarwal , Srija Bhupathiraju , Kavita Vemuri

As text-to-image systems continue to grow in popularity with the general public, questions have arisen about bias and diversity in the generated images. Here, we investigate properties of images generated in response to prompts which are…

Computers and Society · Computer Science 2023-02-15 Kathleen C. Fraser , Svetlana Kiritchenko , Isar Nejadgholi

People commonly utilize visualizations not only to examine a given dataset, but also to draw generalizable conclusions about the underlying models or phenomena. Prior research has compared human visual inference to that of an optimal…

Human-Computer Interaction · Computer Science 2024-07-25 Ratanond Koonchanok , Michael E. Papka , Khairi Reda

In Schelling's segregation model agents of two ethnic groups reside in a regular grid and aim to live in a neighborhood that matches the minimum desired fraction of members of the same ethnicity. The model shows that observed segregation…

Physics and Society · Physics 2018-09-06 Rocco Paolillo , Jan Lorenz

Machine learning technology has become ubiquitous, but, unfortunately, often exhibits bias. As a consequence, disparate stakeholders need to interact with and make informed decisions about using machine learning models in everyday systems.…

Human-Computer Interaction · Computer Science 2024-01-12 Aimen Gaba , Zhanna Kaufman , Jason Chueng , Marie Shvakel , Kyle Wm. Hall , Yuriy Brun , Cindy Xiong Bearfield

Citation networks have been widely used to study the evolution of science through the lenses of the underlying patterns of knowledge flows among academic papers, authors, research sub-fields, and scientific journals. Here we focus on…

Physics and Society · Physics 2017-04-12 Valerio Ciotti , Moreno Bonaventura , Vincenzo Nicosia , Pietro Panzarasa , Vito Latora

A prominent threat to causal inference about peer effects over social networks is the presence of homophily bias, that is, social influence between friends and families is entangled with common characteristics or underlying similarities…

Methodology · Statistics 2020-02-18 Lan Liu , Eric Tchetgen Tchetgen

People recommender systems may affect the exposure that users receive in social networking platforms, influencing attention dynamics and potentially strengthening pre-existing inequalities that disproportionately affect certain groups. In…

Social and Information Networks · Computer Science 2021-12-16 Francesco Fabbri , Maria Luisa Croci , Francesco Bonchi , Carlos Castillo

We investigate the long-time properties of a dynamic, out-of-equilibrium network of individuals holding one of two opinions in a population consisting of two communities of different sizes. Here, while the agents' opinions are fixed, they…

Physics and Society · Physics 2022-02-01 Xiang Li , Mauro Mobilia , Alastair M. Rucklidge , R. K. P. Zia

In multiple academic disciplines, having a perceived gender of `woman' is associated with a lower than expected rate of citations. In some fields, that disparity is driven primarily by the citations of men and is increasing over time…

This work investigates personal perspectives in visualization annotations as devices for collective data-driven storytelling. Inspired by existing efforts in critical cartography, we show how people share personal memories in a…

Human-Computer Interaction · Computer Science 2025-03-26 Tobias Kauer , Marian Dörk , Benjamin Bach

Respondent-driven sampling (RDS) is a link-tracing procedure for surveying hidden or hard-to-reach populations in which subjects recruit other subjects via their social network. There is significant research interest in detecting clustering…

Applications · Statistics 2015-11-18 Forrest W. Crawford , Peter M. Aronow , Li Zeng , Jianghong Li

The paper concerns affective information systems that represent and visualize human emotional states. The goal of the study was to find typical representations of discrete and dimensional emotion models in terms of color, size, speed,…

Human-Computer Interaction · Computer Science 2026-04-14 Michal R Wrobel , Agnieszka Landowska , Karolina Makuch

Understanding susceptibility to online influence is crucial for mitigating the spread of misinformation and protecting vulnerable audiences. This paper investigates susceptibility to influence within social networks, focusing on the…

Social and Information Networks · Computer Science 2025-05-15 Luca Luceri , Jinyi Ye , Julie Jiang , Emilio Ferrara

What are the cognitive after-effects of making a similarity judgement? What, cognitively, is left behind and what effect might these residues have on subsequent processing? In this paper, we probe for such after-effects using a visual…

Artificial Intelligence · Computer Science 2013-08-13 Stephanie OToole , Mark T. Keane

Technical progress in hardware and software enables us to record gaze data in everyday situations and over long time spans. Among a multitude of research opportunities, this technology enables visualization researchers to catch a glimpse…

Human-Computer Interaction · Computer Science 2020-10-01 Kuno Kurzhals , Michael Burch , Daniel Weiskopf

Understanding how social behavior influences epidemic dynamics has become a central focus in mathematical epidemiology. In particular, \textit{behavioral homophily} (the tendency of individuals to associate with similar others) and…

Is homophily in social and economic networks driven by a taste for homogeneity (preferences) or by a higher probability of meeting individuals with similar attributes (opportunity)? This paper studies identification and estimation of an…

Econometrics · Economics 2026-03-20 Luis Alvarez , Cristine Pinto , Vladimir Ponczek

In this paper, we describe our study on how humans allocate their attention during visual crowd counting. Using an eye tracker, we collect gaze behavior of human participants who are tasked with counting the number of people in crowd…

Computer Vision and Pattern Recognition · Computer Science 2020-09-29 Raji Annadi , Yupei Chen , Viresh Ranjan , Dimitris Samaras , Gregory Zelinsky , Minh Hoai

The interplay between text and visualization is gaining importance for media where traditional text is enriched by visual elements to improve readability and emphasize facts. In two controlled eye-tracking experiments ($N=12$), we approach…

Human-Computer Interaction · Computer Science 2024-04-09 Franziska Huth , Maurice Koch , Miriam Awad , Daniel Weiskopf , Kuno Kurzhals
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