scholarly journals Susceptibility of domain experts to color manipulation indicate a need for design principles in data visualization

PLoS ONE ◽  
2021 ◽  
Vol 16 (2) ◽  
pp. e0246479
Author(s):  
Markus Christen ◽  
Peter Brugger ◽  
Sara Irina Fabrikant
Keyword(s):  
Decision Making ◽  
Data Visualization ◽  
Design Principles ◽  
Geographic Visualization ◽  
Domain Experts ◽  
Empirical Results ◽  
Visual Encoding ◽  
Visualization Experiment ◽  
The Impact ◽  
And Training

Color is key for the visual encoding of data, yet its use reportedly affects decision making in important ways. We examined the impact of various popular color schemes on experts’ and lay peoples’ map-based decisions in two, geography and neuroscience, scenarios, in an online visualization experiment. We found that changes in color mappings influence domain experts, especially neuroimaging experts, more in their decision-making than novices. Geographic visualization experts exhibited more trust in the unfavorable rainbow color scale than would have been predicted by their suitability ratings and their training, which renders them sensitive to scale appropriateness. Our empirical results make a strong call for increasing scientists’ awareness for and training in perceptually salient and cognitively informed design principles in data visualization.

Differences in Attitudes toward Patients among Medical Specialties

1989 ◽  
Vol 18 (3) ◽  
pp. 223-233 ◽  
Author(s):  
Gerald Roskin ◽  
Susan K. Marell
Keyword(s):  
Internal Medicine ◽  
Decision Making ◽  
Clinical Decision Making ◽  
Treatment Approach ◽  
Clinical Decision ◽  
Medical Specialties ◽  
Attitudinal Dimension ◽  
The Impact ◽  
Moral Weakness ◽  
And Training

In a prior study a questionnaire was developed which reliably measured a variety of physicians' attitudes toward patients [1]. In the present study we have used this questionnaire to compare the attitudes of physicians specializing in Internal Medicine, Surgery, Pediatrics and Psychiatry with one another and with a group of medical students. One way analyses of variance yielded highly significant differences ( p < .001) among these groups on the “Nurturant-Empathic” attitudinal dimension, as well as on the “Psychodynamic” and “Moral Weakness” Etiology Scales. Significance and ramifications of these findings are discussed in terms of the impact of these attitudes on treatment approach, clinical decision-making, and quality and comprehensiveness of patient care. Further, these findings suggest that a variety of education and training approaches could be advantageously utilized to integrate and upgrade the care of patients by the different medical specialties.

scholarly journals Data Storytelling with Dashboard: Accelerating Understanding Through Data Visualization in Financial Technology Company Case Study

Jurnal METRIS ◽  
2021 ◽  
Vol 20 (1) ◽  
Author(s):  
Ferdian Suprata
Keyword(s):  
Decision Making ◽  
Data Visualization ◽  
Rapid Development ◽  
Data Driven ◽  
Decision Making Process ◽  
Business Practices ◽  
Context Data ◽  
The Impact ◽  
Financial Technology

In the rapid development many organisation rely on context data to support as well as to assist its decision making process. Consequently, Business Intelligence (BI), Dashboard, and Data Visualization emerged as primary tools in early 1990s as a way to help practitioners, data analyst, and data scientist to present context data into an actionable information for decision making process. However, despite its robust and powerful tools, recent study done by Kaggle’s survey in 2017 resulted that in the last five years, many companies were not able to create effective data-driven dashboard due to complex dataset, poor dashboard design, and insufficient storytelling. Hence, understanding of who is going to use dashboard, choosing which data and metrics to visualize in the right context, knowing how to convey information, driving engagement, and persuading audiences are essential in current business practices. This study is aimed to help practitioners to understand the impact of effective dashboard can have on decision making process, to design leveraging dashboard, and to present the dashboard in storytelling. A literature study is performed to gather all relevant information resulted in guidelines for dashboard creator. Case study in financial technology company is applied to experiment and to test the guidelines for assisting dashboard creator to present data-driven insight to the stakeholder.

Nursing Information Systems

2015 ◽  
pp. 959-977
Author(s):  
Ana Paula Macedo ◽  
Fernando Petronilho ◽  
João Cainé
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Nursing Practice ◽  
Clinical Decision Making ◽  
Health Information Systems ◽  
Clinical Decision ◽  
Central Resource ◽  
The Impact ◽  
And Training

We have witnessed a change in the Health Information Systems (HIS) in what concerns structure, contents, and support for optimization of the resources, the best efficiency in cost control, and a better management of the quality of services rendered to the citizens. From the standpoint of reformulating the HIS, we can see an evolution in the production of information centered almost exclusively in the need of a documental proof on the care rendered by nurses to the citizens to produce information that can constitute a central resource for their clinical decision making. The authors describe the evolution of the Nursing Information Systems (NIS), reflect upon the impact of reformulation and implementation of the NIS in Portugal in the development of the nursing practice, and reflect upon the impact of the NIS reformulation in the quality of care as well as in education and training in the nursing area.

scholarly journals An Intuitionistic Evidential Method for Weight Determination in FMEA Based on Belief Entropy

Entropy ◽  
2019 ◽  
Vol 21 (2) ◽  
pp. 211 ◽  
Author(s):  
Zeyi Liu ◽  
Fuyuan Xiao
Keyword(s):  
Decision Making ◽  
Failure Modes ◽  
Evidence Theory ◽  
Team Members ◽  
Domain Experts ◽  
Open Issue ◽  
Belief Entropy ◽  
Potential Failure ◽  
The Impact ◽  
Effective Analysis

Failure Mode and Effects Analysis (FMEA) has been regarded as an effective analysis approach to identify and rank the potential failure modes in many applications. However, how to determine the weights of team members appropriately, with the impact factor of domain experts’ uncertainty in decision-making of FMEA, is still an open issue. In this paper, a new method to determine the weights of team members, which combines evidence theory, intuitionistic fuzzy sets (IFSs) and belief entropy, is proposed to analyze the failure modes. One of the advantages of the presented model is that the uncertainty of experts in the decision-making process is taken into consideration. The proposed method is data driven with objective and reasonable properties, which considers the risk of weights more completely. A numerical example is shown to illustrate the feasibility and availability of the proposed method.

A knowledge-based model for managing the ontology evolution: case study of maintenance in SONATRACH

2018 ◽  
Vol 45 (4) ◽  
pp. 529-553
Author(s):  
Nawal Sad-Houari ◽  
Noria Taghezout ◽  
Aissa Nador
Keyword(s):  
Decision Making ◽  
Knowledge Acquisition ◽  
Web Ontology Language ◽  
Conceptual Level ◽  
Business Rules ◽  
Domain Experts ◽  
Knowledge Based ◽  
Ontology Language ◽  
The Impact

The challenges of the development of a suitable ontology scheme in decision-making environment should be taken in conjunction with the exploitation of more recent technologies. It is expected that the use of ontologies will lead to the construction of more intelligent applications, allowing them to work more specifically at a human conceptual level. We propose in this article an approach that analyses the impact of changes in the ontology on business rules in order to detect inconsistencies that may be generated. In addition, the developed tool provides solutions to repair inconsistencies with the help of domain experts. In our work, business rules are edited from the concepts and properties that are stored in an OWL (Web Ontology Language) ontology named OntoloG. This latter is implemented throughout the use of Protégé 4.0.2.with the OWL sub-language. OntoloG has been developed by the knowledge acquisition from documents, collection and capitalisation of business rules process with experts in SONATRACH AVAL.

Nursing Information Systems

2013 ◽  
pp. 474-491
Author(s):  
Ana Paula Macedo ◽  
Fernando Petronilho ◽  
João Cainé
Keyword(s):  
Decision Making ◽  
Information Systems ◽  
Nursing Practice ◽  
Clinical Decision Making ◽  
Health Information Systems ◽  
Clinical Decision ◽  
Central Resource ◽  
The Impact ◽  
And Training

We have witnessed a change in the Health Information Systems (HIS) in what concerns structure, contents, and support for optimization of the resources, the best efficiency in cost control, and a better management of the quality of services rendered to the citizens. From the standpoint of reformulating the HIS, we can see an evolution in the production of information centered almost exclusively in the need of a documental proof on the care rendered by nurses to the citizens to produce information that can constitute a central resource for their clinical decision making. The authors describe the evolution of the Nursing Information Systems (NIS), reflect upon the impact of reformulation and implementation of the NIS in Portugal in the development of the nursing practice, and reflect upon the impact of the NIS reformulation in the quality of care as well as in education and training in the nursing area.

Quota Women Are Threatening to Men

2017 ◽  
Vol 76 (3) ◽  
pp. 107-116 ◽  
Author(s):  
Klea Faniko ◽  
Till Burckhardt ◽  
Oriane Sarrasin ◽  
Fabio Lorenzi-Cioldi ◽  
Siri Øyslebø Sørensen ◽  
...  
Keyword(s):  
Decision Making ◽  
Organizational Performance ◽  
Gender Stereotypes ◽  
Perceived Threat ◽  
Preferential Treatment ◽  
Public Sector Employees ◽  
Different Types ◽  
Low Levels ◽  
Women In Decision Making ◽  
The Impact

Abstract. Two studies carried out among Albanian public-sector employees examined the impact of different types of affirmative action policies (AAPs) on (counter)stereotypical perceptions of women in decision-making positions. Study 1 (N = 178) revealed that participants – especially women – perceived women in decision-making positions as more masculine (i.e., agentic) than feminine (i.e., communal). Study 2 (N = 239) showed that different types of AA had different effects on the attribution of gender stereotypes to AAP beneficiaries: Women benefiting from a quota policy were perceived as being more communal than agentic, while those benefiting from weak preferential treatment were perceived as being more agentic than communal. Furthermore, we examined how the belief that AAPs threaten men’s access to decision-making positions influenced the attribution of these traits to AAP beneficiaries. The results showed that men who reported high levels of perceived threat, as compared to men who reported low levels of perceived threat, attributed more communal than agentic traits to the beneficiaries of quotas. These findings suggest that AAPs may have created a backlash against its beneficiaries by emphasizing gender-stereotypical or counterstereotypical traits. Thus, the framing of AAPs, for instance, as a matter of enhancing organizational performance, in the process of policy making and implementation, may be a crucial tool to countering potential backlash.

KEATS: A System to Support Knowledge Engineering and Training for Decision-Making Skills

1989 ◽  
Author(s):  
Fritz H. Brecke ◽  
Patrick Hays ◽  
Donald Johnston ◽  
Gail Slemon ◽  
Jane McGarvey ◽  
...  
Keyword(s):  
Decision Making ◽  
Knowledge Engineering ◽  
And Training
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