Context-Aware Decision Support in Dynamic Environments: Theoretical and Technological Foundations

2014 ◽  
pp. 3-20 ◽  
Author(s):  
Alexander Smirnov ◽  
Tatiana Levashova ◽  
Nikolay Shilov ◽  
Alexey Kashevnik
Keyword(s):  
Decision Support ◽  
Dynamic Environments ◽  
Context Aware

Context-Aware Decision Support in Dynamic Environments: Methodology and Case Study

2014 ◽  
pp. 325-334
Author(s):  
Alexander Smirnov ◽  
Tatiana Levashova ◽  
Alexey Kashevnik ◽  
Nikolay Shilov
Keyword(s):  
Decision Support ◽  
Dynamic Environments ◽  
Context Aware

A context-aware decision-support system in clinical pharmacy: Drug monitoring in the elderly

2017 ◽  
Vol 52 (1) ◽  
pp. 100-110
Author(s):  
F. Lagrange ◽  
J. Lagrange ◽  
C. Bennaga ◽  
F. Taloub ◽  
M. Keddi ◽  
...  
Keyword(s):  
Decision Support ◽  
Decision Support System ◽  
Support System ◽  
Clinical Pharmacy ◽  
Drug Monitoring ◽  
The Elderly ◽  
Context Aware

scholarly journals Context aware decision support in neurosurgical oncology based on an efficient classification of endomicroscopic data

2018 ◽  
Vol 13 (8) ◽  
pp. 1187-1199 ◽  
Author(s):  
Yachun Li ◽  
Patra Charalampaki ◽  
Yong Liu ◽  
Guang-Zhong Yang ◽  
Stamatia Giannarou
Keyword(s):  
Decision Support ◽  
Context Aware

scholarly journals Uncertainties in complex dynamic environments

2014 ◽  
Vol Volume 2 ◽  
Author(s):  
Hasmik Atoyan ◽  
Jean-Marc Robert ◽  
Jean-Rémi Duquet
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
User Interfaces ◽  
Dynamic Environments ◽  
Decision Making Process ◽  
Uncertain Information ◽  
Complex Environments ◽  
Complex Dynamic ◽  
Different Types ◽  
Machine Systems

The utilization of Decision Support Systems (DSS) in complex dynamic environments leads the human operator almost inevitably to having to face several types of uncertainties. Thus it is essential for system designers to clearly understand the different types of uncertainties that could exist in human-machine systems of complex environments, to know their impacts on the operator's trust in the systems and decision-making process, and to have guidelines on how to present uncertain information on user interfaces. It is also essential for them to have an overview of the different stages, levels, and types of system automation, and to know their possible impacts on the creation of different types of uncertainties. This paper investigates these topics and aim at helping researchers and practitioners to deal with uncertainties in complex environments.

Modeling User Behaviors to Enable Context-Aware Proactive Decision Support

2016 ◽  
pp. 231-267
Author(s):  
Benjamin Newsom ◽  
Ranjeev Mittu ◽  
Mark A. Livingston ◽  
Stephen Russell ◽  
Jonathan W. Decker ◽  
...  
Keyword(s):  
Decision Support ◽  
Context Aware ◽  
User Behaviors

Knowledge Fusion Patterns for Context Aware Decision Support

2015 ◽  
pp. 599-611
Author(s):  
Alexander Smirnov ◽  
Tatiana Levashova ◽  
Nikolay Shilov
Keyword(s):  
Decision Support ◽  
Context Aware ◽  
Knowledge Fusion

Due Date-Related Order Prioritization for Scheduling with Decision Support in Dynamic Environments

2021 ◽  
pp. 239-248
Author(s):  
Michael Bojko ◽  
Susanne Franke ◽  
Luigi Pelliccia ◽  
Ralph Riedel
Keyword(s):  
Decision Support ◽  
Dynamic Environments ◽  
Due Date

Human-Computer Cloud and Its Applications in E-Tourism

2021 ◽  
pp. 1143-1176
Author(s):  
Andrew Ponomarev ◽  
Nikolay Shilov
Keyword(s):  
Information Processing ◽  
Decision Support ◽  
Resource Management ◽  
Ad Hoc ◽  
Dynamic Environments ◽  
Resource Provisioning ◽  
Cloud Environment ◽  
On Demand ◽  
Building Information ◽  
Developing Area

The chapter addresses two problems that typically arise during the creation of decision support systems that include humans in the information processing workflow, namely, resource management and complexity of decision support in dynamic environments, where it is impossible (or impractical) to implement all possible information processing workflows that can be useful for a decision-maker. The chapter proposes the concept of human-computer cloud, providing typical cloud features (elasticity, on demand resource provisioning) to the applications that require human input (so-called human-based applications) and, on top of resource management functionality, a facility for building information processing workflows for ad hoc tasks in an automated way. The chapter discusses main concepts lying behind the proposed cloud environment, as well as its architecture and some implementation details. It is also shown how the proposed human-computer cloud environment solves information and decision support demands in the dynamic and actively developing area of e-tourism.

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