scholarly journals Bilingualism: A neurocognitive exercise in managing uncertainty

2021 ◽  
pp. 1-43
Author(s):  
Jason W. Gullifer ◽  
Debra Titone
Keyword(s):  
Decision Making ◽  
Language Processing ◽  
Executive Control ◽  
Control Strategies ◽  
Individual Variability ◽  
Future Research ◽  
Potential Mechanism ◽  
Language Fluency ◽  
Cognitive Framework ◽  
Research Domains

Abstract Bilinguals have distinct linguistic experiences relative to monolinguals, stemming from interactions with the environment and individuals therein. Theories of language control hypothesize that these experiences play a role in adapting the neurocognitive systems responsible for control. Here we posit a potential mechanism for these adaptations, namely that bilinguals face additional language-related uncertainties on top of other ambiguities that regularly occur in language, such as lexical and syntactic competition. When faced with uncertainty in the environment, people adapt internal representations to lessen these uncertainties, which can aid in executive control and decision-making. We overview a cognitive framework on uncertainty, which we extend to language and bilingualism. We then review two “case studies” assessing language-related uncertainty for bilingual contexts using language entropy and network scientific approaches. Overall, we find that there is substantial individual variability in the extent to which people experience language related uncertainties in their environments, but also regularity across some contexts. This information, in turn, predicts cognitive adaptations associated with language fluency and engagement in proactive cognitive control strategies. These findings suggest that bilinguals adapt to the cumulative language-related uncertainties in the environment. We conclude by suggesting avenues for future research and links with other research domains. Ultimately, a focus on uncertainty will help bridge traditionally separate scientific domains, such as language processing, bilingualism, and decision-making.

scholarly journals Moving toward a neuroplasticity view of bilingualism, executive control, and aging

2014 ◽  
Vol 35 (5) ◽  
pp. 857-894 ◽  
Author(s):  
SHARI BAUM ◽  
DEBRA TITONE
Keyword(s):  
Older Adults ◽  
Language Processing ◽  
Executive Control ◽  
Cognitive Aging ◽  
Successful Aging ◽  
Empirical Support ◽  
Individual Variability ◽  
Cognitive Capacity ◽  
Neurocognitive Functions ◽  
Age Related

ABSTRACTNormal aging is an inevitable race between increasing knowledge and decreasing cognitive capacity. Crucial to understanding and promoting successful aging is determining which of these factors dominates for particular neurocognitive functions. Here, we focus on the human capacity for language, for which healthy older adults are simultaneously advantaged and disadvantaged. In recent years, a more hopeful view of cognitive aging has emerged from work suggesting that age-related declines in executive control functions are buffered by life-long bilingualism. In this paper, we selectively review what is currently known and unknown about bilingualism, executive control, and aging. Our ultimate goal is to advance the views that these issues should be reframed as a specific instance of neuroplasticity more generally and, in particular, that researchers should embrace the individual variability among bilinguals by adopting experimental and statistical approaches that respect the complexity of the questions addressed. In what follows, we set out the theoretical assumptions and empirical support of the bilingual advantages perspective, review what we know about language, cognitive control, and aging generally, and then highlight several of the relatively few studies that have investigated bilingual language processing in older adults, either on their own or in comparison with monolingual older adults. We conclude with several recommendations for how the field ought to proceed to achieve a more multifactorial view of bilingualism that emphasizes the notion of neuroplasticity over that of simple bilingual versus monolingual group comparisons.

scholarly journals On Language Processing Shaping Decision Making

2017 ◽  
Vol 26 (2) ◽  
pp. 146-151 ◽  
Author(s):  
Albert Costa ◽  
Marc–Lluís Vives ◽  
Joanna D. Corey
Keyword(s):  
Decision Making ◽  
Foreign Language ◽  
Language Processing ◽  
Native Language ◽  
Dual System ◽  
Future Research ◽  
Research Directions ◽  
Decision Making Processes ◽  
Future Research Directions ◽  
The Impact

Recent research has revealed that people’s preferences, choices, and judgments are affected by whether information is presented in a foreign or a native language. Here, we review this evidence, focusing on various decision-making domains and advancing a variety of potential explanations for this foreign-language effect on decision making. We interpret the findings in the context of dual-system theories of decision making, entertaining the possibility that foreign-language processing reduces the impact of intuition and/or increases the impact of deliberation on people’s choices. In closing, we suggest future research directions for progressing our understanding of how language and decision-making processes interact when guiding people’s decisions.

scholarly journals Text Classification Techniques: A Literature Review

10.28945/4066 ◽  
2018 ◽  
Vol 13 ◽  
pp. 117-135 ◽  
Author(s):  
M. Thangaraj ◽  
M Sivakami
Keyword(s):  
Decision Making ◽  
Text Mining ◽  
Knowledge Discovery ◽  
Language Processing ◽  
Text Classification ◽  
Data Models ◽  
Streaming Data ◽  
Future Research ◽  
Healthcare Applications ◽  
Classification Techniques

Aim/Purpose: The aim of this paper is to analyze various text classification techniques employed in practice, their strengths and weaknesses, to provide an improved awareness regarding various knowledge extraction possibilities in the field of data mining. Background: Artificial Intelligence is reshaping text classification techniques to better acquire knowledge. However, in spite of the growth and spread of AI in all fields of research, its role with respect to text mining is not well understood yet. Methodology: For this study, various articles written between 2010 and 2017 on “text classification techniques in AI”, selected from leading journals of computer science, were analyzed. Each article was completely read. The research problems related to text classification techniques in the field of AI were identified and techniques were grouped according to the algorithms involved. These algorithms were divided based on the learning procedure used. Finally, the findings were plotted as a tree structure for visualizing the relationship between learning procedures and algorithms. Contribution: This paper identifies the strengths, limitations, and current research trends in text classification in an advanced field like AI. This knowledge is crucial for data scientists. They could utilize the findings of this study to devise customized data models. It also helps the industry to understand the operational efficiency of text mining techniques. It further contributes to reducing the cost of the projects and supports effective decision making. Findings: It has been found more important to study and understand the nature of data before proceeding into mining. The automation of text classification process is required, with the increasing amount of data and need for accuracy. Another interesting research opportunity lies in building intricate text data models with deep learning systems. It has the ability to execute complex Natural Language Processing (NLP) tasks with semantic requirements. Recommendations for Practitioners: Frame analysis, deception detection, narrative science where data expresses a story, healthcare applications to diagnose illnesses and conversation analysis are some of the recommendations suggested for practitioners. Recommendation for Researchers: Developing simpler algorithms in terms of coding and implementation, better approaches for knowledge distillation, multilingual text refining, domain knowledge integration, subjectivity detection, and contrastive viewpoint summarization are some of the areas that could be explored by researchers. Impact on Society: Text classification forms the base of data analytics and acts as the engine behind knowledge discovery. It supports state-of-the-art decision making, for example, predicting an event before it actually occurs, classifying a transaction as ‘Fraudulent’ etc. The results of this study could be used for developing applications dedicated to assisting decision making processes. These informed decisions will help to optimize resources and maximize benefits to the mankind. Future Research: In the future, better methods for parameter optimization will be identified by selecting better parameters that reflects effective knowledge discovery. The role of streaming data processing is still rarely explored when it comes to text classification.

scholarly journals Crisis and Disaster Situations on Social Media Streams: An Ontology-Based Knowledge Harvesting Approach

10.28945/4420 ◽  
2019 ◽  
Vol 14 ◽  
pp. 343-366
Author(s):  
SenthilKumar Narayanasamy ◽  
Dinakaran Muruganantham ◽  
Atilla Elçi
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Information Retrieval ◽  
Language Processing ◽  
News Media ◽  
News Coverage ◽  
Collaborative Problem Solving ◽  
Future Research ◽  
Semantic Web Technologies ◽  
News Content

Aim/Purpose: Vis-à-vis management of crisis and disaster situations, this paper focuses on important use cases of social media functions, such as information collection & dissemination, disaster event identification & monitoring, collaborative problem-solving mechanism, and decision-making process. With the prolific utilization of disaster-based ontological framework, a strong disambiguation system is realized, which further enhances the searching capabilities of the user request and provides a solution of unambiguous in nature. Background: Even though social media is information-rich, it has created a challenge for deriving a decision in critical crisis-related cases. In order to make the whole process effective and avail quality decision making, sufficiently clear semantics of such information is necessary, which can be supplemented through employing semantic web technologies. Methodology: This paper evolves a disaster ontology-based system availing a framework model for monitoring uses of social media during risk and crisis-related events. The proposed system monitors a discussion thread discovering whether it has reached its peak or decline after its root in the social forum like Twitter. The content in social media can be accessed through two typical ways: Search Application Program Interfaces (APIs) and Streaming APIs. These two kinds of API processes can be used interchangeably. News content may be filtered by time, geographical region, keyword occurrence and availability ratio. With the support of disaster ontology, domain knowledge extraction and comparison against all possible concepts are availed. Besides, the proposed method makes use of SPARQL to disambiguate the query and yield the results which produce high precision. Contribution: The model provides for the collection of crisis-related temporal data and decision making through semantic mapping of entities over concepts in a disaster ontology we developed, thereby disambiguating potential named entities. Results of empirical testing and analysis indicate that the proposed model outperforms similar other models. Findings: Crucial findings of this research lie in three aspects: (1) Twitter streams and conventional news media tend to offer almost similar types of news coverage for a specified event, but the rate of distribution among topics/categories differs. (2) On specific events such as disaster, crisis or any emergency situations, the volume of information that has been accumulated between the two news media stands divergent and filtering the most potential information poses a challenging task. (3) Relational mapping/co-occurrence of terms has been well designed for conventional news media, but due to shortness and sparseness of tweets, there remains a bottleneck for researchers. Recommendations for Practitioners: Though metadata avails collaborative details of news content and it has been conventionally used in many areas like information retrieval, natural language processing, and pattern recognition, there is still a lack of fulfillment in semantic aspects of data. Hence, the pervasive use of ontology is highly suggested that build semantic-oriented metadata for concept-based modeling, information flow searching and knowledge exchange. Recommendation for Researchers: The strong recommendation for researchers is that instead of heavily relying on conventional Information Retrieval (IR) systems, one can focus more on ontology for improving the accuracy rate and thereby reducing ambiguous terms persisting in the result sets. In order to harness the potential information to derive the hidden facts, this research recommends clustering the information from diverse sources rather than pruning a single news source. It is advisable to use a domain ontology to segregate the entities which pose ambiguity over other candidate sets thus strengthening the outcome. Impact on Society: The objective of this research is to provide informative summarization of happenings such as crisis, disaster, emergency and havoc-based situations in the real world. A system is proposed which provides the summarized views of such happenings and corroborates the news by interrelating with one another. Its major task is to monitor the events which are very booming and deemed important from a crowd’s perspective. Future Research: In the future, one shall strive to help to summarize and to visualize the potential information which is ranked high by the model.

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

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.

Prophetic Leadership Model: Conceptualizing a Prophet’s Leadership Behaviour, Leader-Follower Mutuality and Altruism to Decision Making Quality

2015 ◽  
Vol 3 (1) ◽  
pp. 93
Author(s):  
Nik Maheran Nik Muhammad
Keyword(s):  
Decision Making ◽  
Social Network ◽  
A Priori ◽  
Complex Function ◽  
Spiritual Leadership ◽  
Leadership Theory ◽  
Future Research ◽  
Leadership Model ◽  
Leadership Behaviour ◽  
Current Leadership

This article advocates that research is lacking on the connection between leadership theory and social network theory. To date, little empirical research has been conducted on leadership and social networks. Thus, the proposition of this article goes beyond traditional leadership models to advocate for a fuller and more integrative focus that is multilevel, multi-component and interdisciplinary, while recognizing that leadership is a complex function of both the organisational leaders and the followers who perform tasks, all of which subsequently leads to decision making qualities. Indeed, the current leadership model focuses on leadership behaviour and the ability to gain followers mutuality, to achieve decision making quality involving the integration of leadership and social network theories. Given the apparent mutable palette of contemporary leadership theory, this emergent construct of the leadership paradigm can expand the poles of the leadership continuum and contribute to a richer and deeper understanding of the relationships and responsibilities of leaders and followers as they relate to decision making qualities. This new construct, which is termed prophetic leadership, explores the literature of the life experiences of the prophet in the ‘Abrahamic Faith’ religion. Drawing on a priori links between the personality trait and spiritual leadership that has recently garnered the interest of scholars, the present study asserts a normative leadership theory that links the personal quality of a leader, posture and principal (based on the Prophet’s leadership behaviour) to synergy and decision making quality. Altruism is proposed to enhance relationships between leadership behaviour and decision making quality. For future research, much work needs to be done specifically aiming to (a) achieve greater clarity of construct definitions, (b) address measurement issues, and (c) avoid construct redundancy.

Prophetic Leadership Model: Conceptualizing a Prophet’s Leadership Behaviour, Leader-Follower Mutuality and Altruism to Decision Making Quality

2015 ◽  
Vol 1 (3) ◽  
pp. 93
Author(s):  
Nik Maheran Nik Muhammad
Keyword(s):  
Decision Making ◽  
Social Network ◽  
A Priori ◽  
Complex Function ◽  
Spiritual Leadership ◽  
Leadership Theory ◽  
Future Research ◽  
Leadership Model ◽  
Leadership Behaviour ◽  
Current Leadership

This article advocates that research is lacking on the connection between leadership theory and social network theory. To date, little empirical research has been conducted on leadership and social networks. Thus, the proposition of this article goes beyond traditional leadership models to advocate for a fuller and more integrative focus that is multilevel, multi-component and interdisciplinary, while recognizing that leadership is a complex function of both the organisational leaders and the followers who perform tasks, all of which subsequently leads to decision making qualities. Indeed, the current leadership model focuses on leadership behaviour and the ability to gain followers mutuality, to achieve decision making quality involving the integration of leadership and social network theories. Given the apparent mutable palette of contemporary leadership theory, this emergent construct of the leadership paradigm can expand the poles of the leadership continuum and contribute to a richer and deeper understanding of the relationships and responsibilities of leaders and followers as they relate to decision making qualities. This new construct, which is termed prophetic leadership, explores the literature of the life experiences of the prophet in the ‘Abrahamic Faith’ religion. Drawing on a priori links between the personality trait and spiritual leadership that has recently garnered the interest of scholars, the present study asserts a normative leadership theory that links the personal quality of a leader, posture and principal (based on the Prophet’s leadership behaviour) to synergy and decision making quality. Altruism is proposed to enhance relationships between leadership behaviour and decision making quality. For future research, much work needs to be done specifically aiming to (a) achieve greater clarity of construct definitions, (b) address measurement issues, and (c) avoid construct redundancy.

Factors Affecting Customer Switching Behavior towards Hybrid Electrical Vehicles (HEV’s) from a Customer Perspective in Jordan

2018 ◽  
Vol 1 (3) ◽  
pp. 53
Author(s):  
Bushra Mahadin
Keyword(s):  
Decision Making ◽  
Consumer Behaviour ◽  
New Technologies ◽  
International Marketing ◽  
Current Trend ◽  
Switching Behavior ◽  
Future Research ◽  
Decision Making Process ◽  
Customer Switching ◽  
Electrical Vehicles

Purpose-This paper aims to investigate factors that affect customer switching from Internal Combustion Engine Vehicles (ICEV’s) to Hybrid Electrical Vehicles (HEV’s), in Jordan for the period of (2010-2014).Design/methodology/approach-A self-administered survey was hand-delivered to the targeted sample of car users in Jordan. The authors delivered 400 questionnaires to customers, from which 333 were deemed valid for the analysis, corresponding to the percentage of (83.25%) which indicates the validity of the study. Findings- There was no difference in switching behavior between (ICEV’s) and (HEV’s) based on gender in the Jordanian market. Fuel consumption efficiency was the number one variable that supports the switching behavior towards (HEV's), followed by Eco friendliness, lower taxes and technological features. Price and the current trend in the market were the least supporting factors. In addition to that the perception of the battery life of (HEV's), limited choices in the market, lack of information and fear of the relatively new technology were the major hindering factors of choosing an (HEV).Research limitations-Future research needs to investigate other factors that may affect customers’ behavior such as perceived image, trust, and subjective norms. Future research should investigate into the importance of environmental awareness and new technologies, and gender differences in behavior. From an international marketing standpoint, comparative studies between Jordanian and non-Jordanian customers are potential areas of future research for international marketing strategies and cross-cultural consumer behaviour analysis. Practical implications-The paper identifies the determinants of switching behavior. marketers should focus addressing customers concerns in terms of providing enough information and building awareness towards the technology and it's benefits towards the society and the environment.Originality/value-Our study is one of the few in Jordan that investigates the switching behavior towards vehicles technology. Our study is thought to have made a modest contribution to consumer behaviour literature and, specifically, for decision making process. It offers marketers insights into the determinants of switching behavior towards the hybrid vechicle technology and how this contribute to consumers’ decision making process and attitudes to achieve the intended behavioural outcomes

The impact of patient narratives on medical students’ perceptions of shared decision making: A randomized controlled trial

2020 ◽  
Author(s):  
Martina Bientzle ◽  
Marie Eggeling ◽  
Simone Korger ◽  
Joachim Kimmerle
Keyword(s):  
Decision Making ◽  
Medical Students ◽  
Shared Decision Making ◽  
Medical Training ◽  
Controlled Trial ◽  
Future Research ◽  
Shared Decision ◽  
Randomized Controlled ◽  
Information Text ◽  
The Impact

BACKGROUND: Successful shared decision making (SDM) in clinical practice requires that future clinicians learn to appreciate the value of patient participation as early as in their medical training. Narratives, such as patient testimonials, have been successfully used to support patients’ decision-making process. Previous research suggests that narratives may also be used for increasing clinicians’ empathy and responsiveness in medical consultations. However, so far, no studies have investigated the benefits of narratives for conveying the relevance of SDM to medical students.METHODS: In this randomized controlled experiment, N = 167 medical students were put into a scenario where they prepared for medical consultation with a patient having Parkinson disease. After receiving general information, participants read either a narrative patient testimonial or a fact-based information text. We measured their perceptions of SDM, their control preferences (i.e., their priorities as to who should make the decision), and the time they intended to spend for the consultation.RESULTS: Participants in the narrative patient testimonial condition referred more strongly to the patient as the one who should make decisions than participants who read the information text. Participants who read the patient narrative also considered SDM in situations with more than one treatment option to be more important than participants in the information text condition. There were no group differences regarding their control preferences. Participants who read the patient testimonial indicated that they would schedule more time for the consultation.CONCLUSIONS: These findings show that narratives can potentially be useful for imparting the relevance of SDM and patient-centered values to medical students. We discuss possible causes of this effect and implications for training and future research.

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