Open Access. Powered by Scholars. Published by Universities.®
Social and Behavioral Sciences Commons™
Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Social and Behavioral Sciences
The Plausibility Transition Model For Sensemaking, Gary Klein, Mohammadreza Jalaeian, Robert R. Hoffman, Shane Mueller
The Plausibility Transition Model For Sensemaking, Gary Klein, Mohammadreza Jalaeian, Robert R. Hoffman, Shane Mueller
Michigan Tech Publications
When people make plausibility judgments about an assertion, an event, or a piece of evidence, they are gauging whether it makes sense that the event could transpire as it did. Therefore, we can treat plausibility judgments as a part of sensemaking. In this paper, we review the research literature, presenting the different ways that plausibility has been defined and measured. Then we describe the naturalistic research that allowed us to model how plausibility judgments are engaged during the sensemaking process. The model is based on an analysis of 23 cases in which people tried to make sense of complex situations. …
The Plausibility Transition Model For Sensemaking, Gary Klein, Mohammadreza Jalaeian, Robert R. Hoffman, Shane T. Mueller
The Plausibility Transition Model For Sensemaking, Gary Klein, Mohammadreza Jalaeian, Robert R. Hoffman, Shane T. Mueller
Michigan Tech Publications
When people make plausibility judgments about an assertion, an event, or a piece of evidence, they are gauging whether it makes sense that the event could transpire as it did. Therefore, we can treat plausibility judgments as a part of sensemaking. In this paper, we review the research literature, presenting the different ways that plausibility has been defined and measured. Then we describe the naturalistic research that allowed us to model how plausibility judgments are engaged during the sensemaking process. The model is based on an analysis of 23 cases in which people tried to make sense of complex situations. …
Evaluating Machine-Generated Explanations: A “Scorecard” Method For Xai Measurement Science, Robert R. Hoffman, Mohammadreza Jalaeian, Connor Tate, Gary Klein, Shane T. Mueller
Evaluating Machine-Generated Explanations: A “Scorecard” Method For Xai Measurement Science, Robert R. Hoffman, Mohammadreza Jalaeian, Connor Tate, Gary Klein, Shane T. Mueller
Michigan Tech Publications
Introduction: Many Explainable AI (XAI) systems provide explanations that are just clues or hints about the computational models-Such things as feature lists, decision trees, or saliency images. However, a user might want answers to deeper questions such as How does it work?, Why did it do that instead of something else? What things can it get wrong? How might XAI system developers evaluate existing XAI systems with regard to the depth of support they provide for the user's sensemaking? How might XAI system developers shape new XAI systems so as to support the user's sensemaking? What might be a useful …