Your search for Keyword "decision-making in avalanche terrain"resulted in 3 records.
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- Title: PROFESSIONAL VISION IN AVALANCHE TERRAIN. AN ETHNOGRAPHIC STUDY OF PROFESSIONAL NORWEGIAN SKI AND MOUNTAIN GUIDE EDUCATORS.
- Date: 2024-09-23
- Authors: Mr Sigmund Fredrik Andersen, Dr Marcel Reinhold, Mr. Carsten Gade Rolland
- Description: Despite growing interest and advancements in research on human factors in avalanche terrain over the last decade, there remains a need for deeper unde...
- Object ID: ISSW2024_O11.4.pdf
- Keywords: ethnography, professional vision, discursive practices, guide education, decision-making in avalanche terrain.
- View additional details about PROFESSIONAL VISION IN AVALANCHE TERRAIN. AN ETHNOGRAPHIC STUDY OF PROFESSIONAL NORWEGIAN SKI AND MOUNTAIN GUIDE EDUCATORS.
- Title: CHOOSING TO HOLD ‘EM OR FOLD ‘EM – EFFECTS OF AVALANCHE FORECAST INFORMATION ON TERRAIN EXPOSURE
- Date: 2024-09-23
- Authors: Håvard Boutera Toft, Andrea Mannberg, Martin Ahrland Stefan, Markus Johnsen Aase, Audun Hetland
- Description: We use Bayesian estimation methods to analyze how backcountry riders’ terrain choices covary with forecast avalanche problems, avalanche danger leve...
- Object ID: ISSW2024_P11.7.pdf
- Keywords: risk communication, avalanche forecast, decision-making in avalanche terrain, gps tracks
- View additional details about CHOOSING TO HOLD ‘EM OR FOLD ‘EM – EFFECTS OF AVALANCHE FORECAST INFORMATION ON TERRAIN EXPOSURE
- Title: Bayes’ Beacon: Avalanche Prediction, Competence, and Evidence for Competence, Modelling the Effect of Competent and Incompetent Predictions of Highly Improbable Events
- Date: 2013-10-07
- Authors: Philip A. Ebert, Theoni Photopoulou
- Description: In this paper, we will discuss how competence can affect a person’s ability to avoid avalanches and present a way of modelling such competence....
- Object ID: ISSW13_paper_O5-04.pdf
- Keywords: decision-making in avalanche-terrain, modelling competence, bayes’ theorem
- View additional details about Bayes’ Beacon: Avalanche Prediction, Competence, and Evidence for Competence, Modelling the Effect of Competent and Incompetent Predictions of Highly Improbable Events
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