Mapping the landscape of COVID-19 crisis visualizations
In response to COVID-19, a vast number of visualizations have been created to
communicate information to the public. Information exposure in a public health crisis can …
communicate information to the public. Information exposure in a public health crisis can …
Making sense of risk information amidst uncertainty: individuals' perceived risks associated with the COVID-19 pandemic
During a global pandemic such as COVID-19, laypeople bear a large burden of
responsibility for assessing risks associated with COVID-19 and taking action to manage …
responsibility for assessing risks associated with COVID-19 and taking action to manage …
Shifting trust: Examining how trust and distrust emerge, transform, and collapse in COVID-19 information seeking
During crises like COVID-19, individuals are inundated with conflicting and time-sensitive
information that drives a need for rapid assessment of the trustworthiness and reliability of …
information that drives a need for rapid assessment of the trustworthiness and reliability of …
Visualization design practices in a crisis: Behind the scenes with COVID-19 dashboard creators
During the COVID-19 pandemic, a number of data visualizations were created to inform the
public about the rapidly evolving crisis. Data dashboards, a form of information …
public about the rapidly evolving crisis. Data dashboards, a form of information …
Show or suppress? Managing input uncertainty in machine learning model explanations
Feature attribution is widely used in interpretable machine learning to explain how influential
each measured input feature value is for an output inference. However, measurements can …
each measured input feature value is for an output inference. However, measurements can …
The “inter” within interdisciplinary research: Strategies for building integration across fields
As emphasis on interdisciplinary and convergent research grows, researchers and
institutions can benefit from additional insights into how to build interdisciplinary integration …
institutions can benefit from additional insights into how to build interdisciplinary integration …
AI and journalistic networks: A synergistic approach to disaster damage surveillance
This study investigates the potential for integrating AI and journalistic networks to create real-
time, priority-driven maps of infrastructure damage during natural disasters. Focusing on …
time, priority-driven maps of infrastructure damage during natural disasters. Focusing on …
Modes of Uncertainty in HCI
This monograph examines how HCI conceptualizes, situates, and responds to uncertainty—
particularly arguing that our ability to respond to such uncertainties is governed to a great …
particularly arguing that our ability to respond to such uncertainties is governed to a great …
Contextualizing disaster phases using social media data: Hurricane risk visualizations during the forecast and warning phase of Hurricane Irma
R Prestley, RE Morss - Weather, climate, and society, 2023 - journals.ametsoc.org
Common disaster-phase models provide a useful heuristic for understanding how disasters
evolve, but they do not adequately characterize the transitions between phases, such as the …
evolve, but they do not adequately characterize the transitions between phases, such as the …
Robot-Assisted Decision-Making: Unveiling the Role of Uncertainty Visualisation and Embodiment
Robots are embodied agents that act under several sources of uncertainty. When assisting
humans in a collaborative task, robots need to communicate their uncertainty to help inform …
humans in a collaborative task, robots need to communicate their uncertainty to help inform …