Modeling Human-in-the-Loop Security Analysis and Decision-Making Processes

Statistical literacy presents many aspects about food security in the world. It highlights weaknesses, it creates awareness of threats in current situations, helps overcome challenges and creates opportunities for the future. Statistical data analysis enables existing food security interventions and programs to be reviewed and revised, and this better understanding of current situations enables more authoritative and relevant decision-making processes for the future. Statistical literacy involves skills and expertise in data description and interpretation (in words as well as in numbers) to name, explore and amend beliefs, opinions and suggestions. It helps decision-making processes about food security in a sub-nation, nation and region, as well as the world. This chapter will demonstrate the importance of open data and visualization, including its challenges and opportunities, in the food security context at national and global level to make decision-makers aware of the need to enhance their capacity for and investment in statistical literacy.

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Opportunities and Challenges of Visualization and Open Data in Food Security Analysis

Data Visualization and Statistical Literacy for Open and Big Data - Advances in Data Mining and Database Management ◽

10.4018/978-1-5225-2512-7.ch004 ◽

2017 ◽

pp. 69-101

Author(s):

Thida Chaw Hlaing ◽

Julian Prior

Keyword(s):

Decision Making ◽

Food Security ◽

Security Analysis ◽

Open Data ◽

Global Level ◽

Statistical Literacy ◽

The World ◽

The Future ◽

Challenges And Opportunities ◽

Decision Making Processes

Statistical literacy presents many aspects about food security in the world. It highlights weaknesses, it creates awareness of threats in current situations, helps overcome challenges and creates opportunities for the future. Statistical data analysis enables existing food security interventions and programs to be reviewed and revised, and this better understanding of current situations enables more authoritative and relevant decision-making processes for the future. Statistical literacy involves skills and expertise in data description and interpretation (in words as well as in numbers) to name, explore and amend beliefs, opinions and suggestions. It helps decision-making processes about food security in a sub-nation, nation and region, as well as the world. This chapter will demonstrate the importance of open data and visualization, including its challenges and opportunities, in the food security context at national and global level to make decision-makers aware of the need to enhance their capacity for and investment in statistical literacy.

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Visualizations for an Explainable Planning Agent

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence ◽

10.24963/ijcai.2018/849 ◽

2018 ◽

Cited By ~ 5

Author(s):

Tathagata Chakraborti ◽

Kshitij P. Fadnis ◽

Kartik Talamadupula ◽

Mishal Dholakia ◽

Biplav Srivastava ◽

...

Keyword(s):

Decision Making ◽

Common Ground ◽

Planning System ◽

Ai Planning ◽

Crucial Step ◽

Sensory Inputs ◽

Human In The Loop ◽

Watson Research ◽

Decision Making Processes ◽

The Brain

In this demonstration, we report on the visualization capabilities of an Explainable AI Planning (XAIP) agent that can support human-in-the-loop decision-making. Imposing transparency and explainability requirements on such agents is crucial for establishing human trust and common ground with an end-to-end automated planning system. Visualizing the agent's internal decision making processes is a crucial step towards achieving this. This may include externalizing the "brain" of the agent: starting from its sensory inputs, to progressively higher order decisions made by it in order to drive its planning components. We demonstrate these functionalities in the context of a smart assistant in the Cognitive Environments Laboratory at IBM's T.J. Watson Research Center.

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Cognitive Processing of Miscommunication in Interactive Listening: An Evaluation of Listener Indecision and Cognitive Effort

Journal of Speech Language and Hearing Research ◽

10.1044/2020_jslhr-20-00128 ◽

2021 ◽

pp. 1-17

Author(s):

Jennifer M. Roche ◽

Arkady Zgonnikov ◽

Laura M. Morett

Keyword(s):

Decision Making ◽

Cognitive Processing ◽

Language Processing ◽

Cognitive Effort ◽

Mouse Tracking ◽

Computer Mouse ◽

Decision Making Processes ◽

Computer Mouse Tracking ◽

Listening Task ◽

Processing Effort

Purpose The purpose of the current study was to evaluate the social and cognitive underpinnings of miscommunication during an interactive listening task. Method An eye and computer mouse–tracking visual-world paradigm was used to investigate how a listener's cognitive effort (local and global) and decision-making processes were affected by a speaker's use of ambiguity that led to a miscommunication. Results Experiments 1 and 2 found that an environmental cue that made a miscommunication more or less salient impacted listener language processing effort (eye-tracking). Experiment 2 also indicated that listeners may develop different processing heuristics dependent upon the speaker's use of ambiguity that led to a miscommunication, exerting a significant impact on cognition and decision making. We also found that perspective-taking effort and decision-making complexity metrics (computer mouse tracking) predict language processing effort, indicating that instances of miscommunication produced cognitive consequences of indecision, thinking, and cognitive pull. Conclusion Together, these results indicate that listeners behave both reciprocally and adaptively when miscommunications occur, but the way they respond is largely dependent upon the type of ambiguity and how often it is produced by the speaker.

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“It's Not Humanly Possible to Do Everything”: Perspectives on Intervention Decision-Making Processes of Parents of Children with Autism Spectrum Disorders

Perspectives on Language Learning and Education ◽

10.1044/lle22.1.13 ◽

2015 ◽

Vol 22 (1) ◽

pp. 13-21 ◽

Cited By ~ 5

Author(s):

Erinn Finke ◽

Kathryn Drager ◽

Elizabeth C. Serpentine

Keyword(s):

Decision Making ◽

Individualized Education Program ◽

Children With Autism ◽

Autism Spectrum ◽

Sources Of Information ◽

Individual Decision ◽

Decision Making Processes ◽

Spectrum Disorders ◽

Interview Methodology ◽

Communication Interventions

Purpose The purpose of this investigation was to understand the decision-making processes used by parents of children with autism spectrum disorder (ASD) related to communication-based interventions. Method Qualitative interview methodology was used. Data were gathered through interviews. Each parent had a child with ASD who was at least four-years-old; lived with their child with ASD; had a child with ASD without functional speech for communication; and used at least two different communication interventions. Results Parents considered several sources of information for learning about interventions and provided various reasons to initiate and discontinue a communication intervention. Parents also discussed challenges introduced once opinions of the school individualized education program (IEP) team had to be considered. Conclusions Parents of children with ASD primarily use individual decision-making processes to select interventions. This discrepancy speaks to the need for parents and professionals to share a common “language” about interventions and the decision-making process.

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