Helia Hosseinpour

• University of California, Merced

Small multiples are a popular visualization method, displaying different views of a dataset using multiple frames, often with the same scale and axes. However, there is a need to address their potential constraints, especially in the context of human cognitive capacity limits. These limits dictate the maximum information our mind can process at onc...

Small multiples are a popular visualization method, displaying different views of a dataset using multiple frames, often with the same scale and axes. However, there is a need to address their potential constraints, especially in the context of human cognitive capacity limits. These limits dictate the maximum information our mind can process at onc...

As the popularity of social media has dramatically increased, it is crucial to understand how individuals process the information from these social media scrolling information feeds. The cognitive fit theory suggests that the perceived fit between the technology (medium) and task influences performance. Therefore, we predict that a social media fee...

As the popularity of social media has dramatically increased, it is crucial to understand how individuals process the information from these social media scrolling information feeds. Most scrolling feed media tend to summarize and chunk information into discrete units. In memory, this approach can improve recall performance by expanding the amount...

People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how these visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conducted two experiments online in October and December...

As uncertainty visualizations for general audiences become increasingly common, designers must understand the full impact of uncertainty communication techniques on viewers' decision processes. Prior work demonstrates mixed performance outcomes with respect to how individuals make decisions using various visual and textual depictions of uncertainty...

People worldwide use SARS-CoV-2 (COVID-19) visualizations to make life and death decisions about pandemic risks. Understanding how COVID-19 visualizations influence risk perceptions to improve pandemic communication is crucial. To examine how COVID-19 visualizations influence risk perception, we conducted two experiments ( N = 2,549) during the hei...

As uncertainty visualizations for general audiences become increasingly common, designers must understand the full impact of uncertainty communication techniques on viewers' decision processes. Prior work demonstrates mixed performance outcomes with respect to how individuals make decisions using various visual and textual depictions of uncertainty...

Making decisions with uncertainty is challenging for the general public, policymakers, and even highly trained scientists. Nevertheless, when faced with the need to respond to a potential hazard, people must make high-risk decisions with uncertainty. In some cases, people have to consider multiple hazards with various types of uncertainties. Multip...

Policy-makers and the general public have made decisions using COVID-19 data visualizations that have affected the health of the global population. However, the impact that such wide use of data visualizations has had on people's beliefs about their personal risk for COVID-19 is unclear. We conducted two experiments (N = 2,549) during the height of...

Uncertainty communicators often use visualizations to express the unknowns in data, statistical analyses, and forecasts. Well-designed visualizations can clearly and effectively convey uncertainty, which is vital for ensuring transparency, accuracy, and scientific credibility. However, poorly designed uncertainty visualizations can lead to misunder...