scholarly journals Deliberative process in sharing information with different audiences: Eye-tracking correlates

2021 ◽  
pp. 174702182110474
Author(s):  
Beatriz Martín-Luengo ◽  
Andriy Myachykov ◽  
Yury Shtyrov
Keyword(s):  
Decision Making ◽  
Eye Movements ◽  
Selection Process ◽  
Social Contexts ◽  
Formal Context ◽  
Growth Curve Analysis ◽  
Deliberative Process ◽  
Job Interview ◽  
Decision Making Processes ◽  
The Given

Research on conversational pragmatics demonstrates how interlocutors tailor the information they share depending on the audience. Previous research showed that, in informal contexts, speakers often provide several alternative answers, whereas in formal contexts, they tend to give only a single answer; however, the psychological underpinnings of these effects remain obscure. To investigate this answer selection process, we measured participants’ eye movements in different experimentally modelled social contexts. Participants answered general knowledge questions by providing responses with either single (one) or plural (three) alternatives. Then, a formal (job interview) or informal (conversation with friends) context was presented and participants decided either to report or withdraw their responses after considering the given social context. Growth curve analysis on the eye movements indicates that the selected response option attracted more eye movements. There was a discrepancy between the answer selection likelihood and the proportion of fixations to the corresponding option—but only in the formal context. These findings support a more elaborate decision-making processes in formal contexts. They also suggest that eye movements do not necessarily accompany the options considered in the decision-making processes.

A Tool for Assisting Group Decision-Making for Consensus Outcomes in Organizations

2009 ◽  
pp. 941-963
Author(s):  
Faezeh Afshar ◽  
John Yearwood ◽  
Andrew Stranieri
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Computational Intelligence ◽  
Group Decision ◽  
Shared Understanding ◽  
Deliberative Process ◽  
Computer Mediated ◽  
Decision Making Processes ◽  
Cooperative Decision Making

This chapter introduces an approach, ConSULT (Consensus based on a Shared Understanding of a Leading Topic), to enhance group decision-making processes within organizations. ConSULT provides a computer-mediated framework to allow argumentation, collection and evaluation of discussion and group decision-making. This approach allows for the articulation of all reasoning for and against propositions in a deliberative process that leads to cooperative decision-making. The chapter argues that this approach can enhance group decision-making and can be used in conjunction with any computational intelligence assistance to further enhance its outcome. The approach is particularly applicable in an asynchronous and anonymous environment.

scholarly journals Eye Gazes Based on Associative Relevance Assist in Decision Making Processes during Scene Perception

2016 ◽  
Vol 8 (2) ◽  
pp. 74
Author(s):  
Gufran Ahmad
Keyword(s):  
Decision Making ◽  
Information Processing ◽  
Eye Movements ◽  
Visual Perception ◽  
Eye Tracking ◽  
Scene Perception ◽  
Cognitive Dynamics ◽  
Movement Data ◽  
Business Applications ◽  
Decision Making Processes

<p>Research studies on eye movements in area of information processing task, such as scene perception have recently advanced towards understandings of underlying visual perception mechanism and human cognitive dynamics. Besides, business applications of eye tracking are endlessly revealing groundbreaking trends based on practical scenarios. In this study, we conducted a number of eye tracking experiments to establish our hypothesis that the eye gazes based on the associative relevance found within the contexts of scenes during scene perception significantly supported the processes of decision making. The collected eye movement data from participants who viewed artistic scenes discovered that the tracks of eye gazes traversed along the existing associative relevance among the elements of scenes for decision making processes. These experimental evidences confirmed our hypothesis that the eye gazes based on associative relevance assisted in decision making processes during scene perception.</p>

scholarly journals Attributes-Based Decision Making for Selection of Requirement Elicitation Techniques Using the Analytic Network Process

2020 ◽  
Vol 2020 ◽  
pp. 1-13
Author(s):  
Jinyu Li ◽  
Asif Ullah ◽  
Jun Li ◽  
Shah Nazir ◽  
Habib Ullah Khan ◽  
...  
Keyword(s):  
Decision Making ◽  
Selection Process ◽  
Multicriteria Decision Making ◽  
Requirement Engineering ◽  
Analytic Network Process ◽  
Software Project ◽  
Requirement Elicitation ◽  
Network Process ◽  
Decision Making Processes ◽  
Selection Of

Requirement engineering is the first phase of software engineering. In requirement engineering, the first phase is requirement elicitation (RE), which is the most critical and error-prone activity. In this phase, the requirements are extracted from various sources; after extraction, they are analyzed and documented for a specific purpose of software development. In RE, process requirements from stakeholders are gathered, upon which the entire software product failure and success are dependent. In order to accomplish the goal of requirement elicitation, various techniques are used. However, the selection of these techniques is a very challenging task, as one technique may suit a situation but may not be suited for other situations. Besides this, project attributes such as documentation culture of organization, degree of relationship among stakeholders, and familiarity to domain also have a great impact on the process of technique selection. The reason is that there is no empirical value of the techniques that provide help in techniques selection to analyze the basis software project attributes. This study proposed the analytic network process, which is one of the multicriteria decision making processes for the elicitation technique selection process with respect to criterion attributes of project. The motivation toward the use of the ANP approach for the selection of requirement selection technique is that there are dependencies existing among attributes of the project elements. So, the ANP approach is capable of dealing with such situations where dependencies and complexity occur. Results of the proposed study demonstrate that the technique helps in complex situations where decision making is difficult based on the alternatives.

Decision-Making Practices During the Instrument Selection Process: The Choices We Make

2018 ◽  
Vol 44 (4) ◽  
pp. 281-291
Author(s):  
Jessica A. Rueter ◽  
Rochell McWhorter ◽  
Julie Delello
Keyword(s):  
Decision Making ◽  
Learning Disabilities ◽  
Selection Process ◽  
School Personnel ◽  
Learning Disabled ◽  
Basic Knowledge ◽  
Students With Learning Disabilities ◽  
Instrument Selection ◽  
Face To Face ◽  
Decision Making Processes

The purpose of this article is to understand the decision-making processes by assessment personnel when choosing instruments to evaluate students with learning disabilities. Eight school personnel responsible for the evaluation of students in Texas participated in face-to-face, semistructured interviews. The instruments chosen were based on a variety of factors including the personnel’s basic knowledge and training on the use of the instruments, the culture and climate of the district, and the overall characteristics of the child being tested. The findings of this study suggested that assessment personnel encounter many decisions when evaluating children with learning disabilities. Implications from this study include the need for frequent support in encouraging reflective thinking and assessment training for those responsible for the important decisions regarding the identification and placement of students who are learning disabled.

scholarly journals Distinguishing neural correlates of context-dependent advantageous- and disadvantageous-inequity aversion

2018 ◽  
Vol 115 (33) ◽  
pp. E7680-E7689 ◽  
Author(s):  
Xiaoxue Gao ◽  
Hongbo Yu ◽  
Ignacio Sáez ◽  
Philip R. Blue ◽  
Lusha Zhu ◽  
...  
Keyword(s):  
Decision Making ◽  
Prefrontal Cortex ◽  
Computational Models ◽  
Social Contexts ◽  
Inequity Aversion ◽  
Context Dependency ◽  
Anterior Cingulate ◽  
Dorsal Anterior Cingulate Cortex ◽  
Decision Making Processes ◽  
Context Dependent

Humans can integrate social contextual information into decision-making processes to adjust their responses toward inequity. This context dependency emerges when individuals receive more (i.e., advantageous inequity) or less (i.e., disadvantageous inequity) than others. However, it is not clear whether context-dependent processing of advantageous and disadvantageous inequity involves differential neurocognitive mechanisms. Here, we used fMRI to address this question by combining an interactive game that modulates social contexts (e.g., interpersonal guilt) with computational models that enable us to characterize individual weights on inequity aversion. In each round, the participant played a dot estimation task with an anonymous coplayer. The coplayer would receive pain stimulation with 50% probability when either of them responded incorrectly. At the end of each round, the participant completed a variant of dictator game, which determined payoffs for him/herself and the coplayer. Computational modeling demonstrated the context dependency of inequity aversion: when causing pain to the coplayer (i.e., guilt context), participants cared more about the advantageous inequity and became more tolerant of the disadvantageous inequity, compared with other conditions. Consistently, neuroimaging results suggested the two types of inequity were associated with differential neurocognitive substrates. While the context-dependent processing of advantageous inequity was associated with social- and mentalizing-related processes, involving left anterior insula, right dorsolateral prefrontal cortex, and dorsomedial prefrontal cortex, the context-dependent processing of disadvantageous inequity was primarily associated with emotion- and conflict-related processes, involving left posterior insula, right amygdala, and dorsal anterior cingulate cortex. These results extend our understanding of decision-making processes related to inequity aversion.

Instrumental and moral assistance

2020 ◽  
Vol 11 (3) ◽  
pp. 440-462 ◽  
Author(s):  
Antonia L. Krummheuer
Keyword(s):  
Decision Making ◽  
Brain Injury ◽  
Interaction Analysis ◽  
Selection Process ◽  
Acquired Brain Injury ◽  
Embodied Interaction ◽  
Analytical Perspective ◽  
Decision Making Processes ◽  
Five Phases

Abstract The present paper takes an ethnomethodological and conversation analytical perspective on assisted shopping as it is done by a person with acquired brain injury in collaboration with her caregiver. My interest is directed towards the interactional and embodied organization of the situated selecting and decision-making processes, while I am aiming to understand the interactional organization of assistance and agency. The embodied interaction analysis is based on two video-recorded examples in which a caregiver treats the institutional resident’s shopping choice as either unproblematic or undesirable. I will differentiate five phases in which the participants systematically organize the selection process. In these phases, the participants take different roles either as shopper or as assistant caregiver; as to the later, I will distinguish between moral and instrumental assistance. The analysis demonstrates an inherent tension in the assistance during shopping activities, as it is oriented to both the incompetence that justifies the need for assistance and to the interactional construction of a competent and independent shopper.

A Tool for Assisting Group Decision-Making for Consensus Outcomes in Organizations

2011 ◽  
pp. 316-343 ◽  
Author(s):  
Faezeh Afshar ◽  
John Yearwood ◽  
Andrew Stranieri
Keyword(s):  
Decision Making ◽  
Group Decision Making ◽  
Computational Intelligence ◽  
Group Decision ◽  
Shared Understanding ◽  
Deliberative Process ◽  
Computer Mediated ◽  
Decision Making Processes ◽  
Cooperative Decision Making

This chapter introduces an approach, ConSULT (Consensus based on a Shared Understanding of a Leading Topic), to enhance group decision-making processes within organizations. ConSULT provides a computer-mediated framework to allow argumentation, collection and evaluation of discussion and group decision-making. This approach allows for the articulation of all reasoning for and against propositions in a deliberative process that leads to cooperative decision-making. The chapter argues that this approach can enhance group decision-making and can be used in conjunction with any computational intelligence assistance to further enhance its outcome. The approach is particularly applicable in an asynchronous and anonymous environment.

Commercial and Open Source Business Intelligence Platforms for Big Data Warehousing

2019 ◽  
pp. 158-181 ◽  
Author(s):  
Jorge Bernardino ◽  
Joaquim Lapa ◽  
Ana Almeida
Keyword(s):  
Decision Making ◽  
Big Data ◽  
Decision Support ◽  
Comparative Analysis ◽  
Open Source ◽  
Data Warehouse ◽  
Business Intelligence ◽  
Selection Process ◽  
Decision Making Processes ◽  
Big Data Warehouse

A big data warehouse enables the analysis of large amounts of information that typically comes from the organization's transactional systems (OLTP). However, today's data warehouse systems do not have the capacity to handle the massive amount of data that is currently produced. Business intelligence (BI) is a collection of decision support technologies that enable executives, managers, and analysts to make better and faster decisions. Organizations must make good use of business intelligence platforms to quickly acquire desirable information from the huge volume of data to reduce the time and increase the efficiency of decision-making processes. In this chapter, the authors present a comparative analysis of commercial and open source BI tools capabilities, in order to aid organizations in the selection process of the most suitable BI platform. They also evaluated and compared six major open source BI platforms: Actuate, Jaspersoft, Jedox/Palo, Pentaho, SpagoBI, and Vanilla; and six major commercial BI platforms: IBM Cognos, Microsoft BI, MicroStrategy, Oracle BI, SAP BI, and SAS BI & Analytics.

scholarly journals Nepal’s Health Facility Operation and Management Committees: exploring community participation and influence in the Dang district’s primary care clinics

2018 ◽  
Vol 19 (5) ◽  
pp. 492-502
Author(s):  
Gagan Gurung ◽  
Sarah Derrett ◽  
Philip C. Hill ◽  
Robin Gauld
Keyword(s):  
Decision Making ◽  
Community Participation ◽  
Health Facility ◽  
Selection Process ◽  
Qualitative Interviews ◽  
Successful Implementation ◽  
Group Representations ◽  
Decision Making Processes ◽  
Community Representation ◽  
Operation And Management

AimTo describe community representation in Nepal’s Health Facility Operation and Management Committees (HFMCs) and the degree of influence of community representatives in the HFMC decision-making processes.BackgroundCommunity participation has been recognised as one of the key components for the successful implementation of primary health care (PHC) strategies, following the 1978 Declaration of Alma-Ata. In low- and middle-income countries (LMICs), HFMCs are now widely considered as a mechanism to increase community participation in health through community representation. There is some research examining the implementation process, impact and factors affecting the effectiveness of HFMCs. Despite the documented evidence of the importance of factors such as adequate representation, links with wider community, and decision-making power, there is limited evidence about the nature of community representation and degree of decision making within HFMCs in the PHC setting, particularly in LMICs.MethodsQualitative interviews with 39 key informants were held to explore different aspects of community representation in HFMCs, and the influence of the HFMC on health facility decision-making processes. In addition, a facility audit at 22 facilities and review of HFMC meeting minutes at six health facilities were conducted.FindingsThere were Dalit (a marginalised caste) and Janajati (an ethnic group) representations in 77% and 100% of the committees, respectively. Likewise, there were at least two female members in each committee. However, the HFMC member selection process and decision making within the committees were influenced by powerful elites. The degree of participation through HFMCs appeared to be at the ‘Manipulation’ and ‘Informing’ stage of Arnstein’s ladder of participation. In conclusion, despite representation of the community on HFMCs, the depth of participation seems low. There is a need to ensure a democratic selection process of committee members; and to expand the depth of participation.

scholarly journals Spectrum Decision-Making in Collaborative Cognitive Radio Networks

2020 ◽  
Vol 10 (19) ◽  
pp. 6786
Author(s):  
Diego Giral ◽  
Cesar Hernández ◽  
Enrique Rodríguez-Colina
Keyword(s):  
Decision Making ◽  
Mobile Communications ◽  
Selection Process ◽  
Real Data ◽  
Analytical Hierarchical Process ◽  
Computational Costs ◽  
Amount Of Information ◽  
Simple Additive Weighting ◽  
The Given ◽  
Collaborative Decision

Spectral decision making is a function of the cognitive cycle. It aims to select spectral opportunities within a set of finite possibilities. Decision-making methodologies, based on collaborative information exchanges, are used to improve the selection process. For collaborative decision making to be efficient, decisions need to be analyzed based on the amount of information. Using little data can produce inefficient decisions, and taking a lot of data can result in high computational costs and delays. This document presents three contributions: the incorporation of a collaborative strategy for decision making, the implementation of real data, and the analysis of the amount of information through the number of failed handoffs. The collaborative model acts as a two-way information node, the information it coordinates corresponds to the Global System for Mobile Communications (GSM) band, and the amount of information to be shared is selected according to five levels of collaboration: 10%, 20%, 50%, 80%, and 100%, in which each percentage represents the total number of users that will be part of the process. The decision-making process is carried out by using two multi-criteria techniques: Feedback Fuzzy Analytical Hierarchical Process (FFAHP) and Simple Additive Weighting (SAW). The results are presented in two comparative analyses. The first performs the analysis using the number of failed handoffs. The second quantifies the level of collaboration for the number of failed handoffs. Based on the obtained percentage ratios, the information shared, and the average of increase rates, the level of collaboration that leads to efficient results is determined to be between 20% and 50% for the given number of failed handoffs.

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