NextGen TV and Advanced Emergency Alerting: The Future of TV Warnings and Alerts

Abstract The Advanced Television Systems Committee (ATSC) is introducing a new broadcast signal (ATSC 3.0), also called NextGen TV, that utilizes technology that can offer better-quality audio and video, a more user-focused experience including rich-format graphics, and location-based services. These technological advancements have great utility for improving the way weather warnings and other alerts are consumed by the public. To best utilize this opportunity, social scientists must work alongside broadcast professionals to assure that warning and alert information is displayed in a way that is user centric, targeted, and informative, while excluding extraneous information. This article outlines the importance of bringing together an interdisciplinary team from the academic, private, and government sectors to accomplish this goal. The team draws on literature on cognitive psychology, user interaction, and visual communication to show how the organization and presentation of risk information in a noisy environment can facilitate or impede effective decision-making. Preliminary analyses of current weather warning and information displays have shown variability between local and national networks. Future work using eye-tracking experiments and focus groups will be used to observe human interactions with various existing and proposed warning information displays is described. This research is the first step in designing effective warning systems that consider human behavior in addition to technology to utilize the full potential of NextGen TV.

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Publication Details

Journal
Bulletin of the American Meteorological Society
Published
2025-06-16
DOI
https://doi.org/10.1175/bams-d-24-0162.1
Primary Topic
Anomaly Detection Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

NextGen TV and Advanced Emergency Alerting: The Future of TV Warnings and Alerts

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Bulletin of the American Meteorological Society
Anomaly Detection Techniques and Applications
article

NextGen TV and Advanced Emergency Alerting: The Future of TV Warnings and Alerts

Heather Sheridan, Gregory E. Cox, Kodi L. Berry, Holly Obermeier, Savannah Olivas, Makenzie Krocak, Nate Johnson, Jeannette Sutton, Ling Sun, M. Michaud, Caroline M. Rafizadeh, Joseph E. Trujillo-Facón
article en

Abstract

Abstract The Advanced Television Systems Committee (ATSC) is introducing a new broadcast signal (ATSC 3.0), also called NextGen TV, that utilizes technology that can offer better-quality audio and video, a more user-focused experience including rich-format graphics, and location-based services. These technological advancements have great utility for improving the way weather warnings and other alerts are consumed by the public. To best utilize this opportunity, social scientists must work alongside broadcast professionals to assure that warning and alert information is displayed in a way that is user centric, targeted, and informative, while excluding extraneous information. This article outlines the importance of bringing together an interdisciplinary team from the academic, private, and government sectors to accomplish this goal. The team draws on literature on cognitive psychology, user interaction, and visual communication to show how the organization and presentation of risk information in a noisy environment can facilitate or impede effective decision-making. Preliminary analyses of current weather warning and information displays have shown variability between local and national networks. Future work using eye-tracking experiments and focus groups will be used to observe human interactions with various existing and proposed warning information displays is described. This research is the first step in designing effective warning systems that consider human behavior in addition to technology to utilize the full potential of NextGen TV.

Bulletin of the American Meteorological SocietyVol. 106(8)
Albany State University (US), Nebraska State Historical Society (US), North Carolina State University (US), University of Illinois Urbana-Champaign (US), Cooperative Institute for Mesoscale Meteorological Studies (US), NBCUniversal (United States) (US), University at Albany, State University of New York (US), NOAA National Severe Storms Laboratory (US), University of Oklahoma (US)
Openalex Percentile: Top 93%
Anomaly Detection Techniques and Applications
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