• Journal of Information Technology Applications and Management
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• v.11 no.1
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• pp.117-135
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• 2004

Since human decision making behavior is likely to follow nonlinear strategy, it is conjectured that the human decision making behavior can be modeled better by nonlinear models than by linear models. All that linear models can do is to approximate rather than model the decision behavior. This study attempts to test this conjecture by analyzing human decision making behavior and combining the results of the analysis with predictive performance of both linear models and nonlinear models. In this way, this study can examine the relationship between the predictive performance of models and the existence of valid nonlinear strategy in decision making behavior. This study finds that the existence of nonlinear strategy in decision making behavior is highly correlated with the validity of the decision (or the human experts). The second finding concerns the significant correlations between the model performance and the existence of valid nonlinear strategy which is detected by Lens Model. The third finding is that as stronger the valid nonlinear strategy becomes, the better nonlinear models predict significantly than linear models. The results of this study bring an important concept, validity of nonlinear strategy, to modeling human experts. The inclusion of the concept indicates that the prior analysis of human judgement may lead to the selection of proper modeling algorithm. In addition, lens Model Analysis is proved to be useful in examining the valid nonlinearity in human decision behavior.

• Journal of Korean Academy of Nursing Administration
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• v.13 no.1
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• pp.82-97
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• 2007

Purpose: This study was to investigate the relationships among nurse managers' participation in decision-making process relation to human resource management and the influencing factors. Method: The subjects were 198 nurse managers who were in general hospitals over 900 beds. The data were collected from January 13 to March 13, 2006. The SPSS PC+ 12.0 program was used to analyze the data. Result: The nurse managers had greater participation in the identification phase of decision making than selection phase. The mean scores of three phases were significantly different. The satisfaction of decision making was evaluated. The higher participation in decision making, the higher satisfaction of decision making. Nurse managers' decision style tended to be more participative than autocratic. Personal and organizational factors(age and decentralization) influenced positively on participation in decision making. Decentralization and span of control influenced positively on satisfaction in decision making. Conclusion: It is necessary to permit the participation in decision making for nurse managers.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.17 no.3
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• pp.775-793
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• 2023

Human decision-making is a complex behavior. A replication of human decision making offers a potential to enhance the capacity of intelligent systems by providing additional user assistance in decision making. By reducing the effort and task complexity on behalf of the user, such replication would improve the overall user experience, and affect the degree of intelligence exhibited by the system. This paper explores individuals' decision-making processes when using recommender systems, and its related outcomes. In this study, human decision-making (HDM) refers to the selection of an item from a given set of options that are shown as recommendations to a user. The goal of our study was to identify IS constructs that contribute towards such decision-making, thereby contributing towards creating a mental model of HDM. This was achieved through recording Electroencephalographic (EEG) readings of subjects while they performed a decision-making activity. Readings from 16 righthanded healthy avid readers reflect that reward, theory of mind, risk, calculation, task intention, emotion, sense of touch, ambiguity and decision making are the primary constructs that users employ while deciding from a given set of recommendations in an online bookstore. In all 10 distinct brain areas were identified. These brain areas that lead to their respective constructs were found to be cingulate gyrus, precentral gyrus, inferior parietal lobule, posterior cingulate, medial frontal gyrus, anterior cingulate, postcentral gyrus, superior frontal gyrus, inferior frontal gyrus, and middle frontal gyrus (also referred to as dorsolateral prefrontal gyrus (DLPFC)). The identified constructs would help in developing a design theory for enhancing user assistance, especially in the context of recommender systems.

• Journal of Intelligence and Information Systems
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• v.1 no.2
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• pp.1-16
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• 1995

The field of human judgment and decision making provides useful methodologies for examining the human decision making process and substantive results. One of the methodologies is a lens model analysis which can examine valid nonlinearity in the human decision making process. Using the method, valid nonlinearity in human decision behavior can be successfully detected. Two linear(statistical) models of human experts and two nonlinear models of human experts are compared in terms of predictive accuracy (predictive validity). The results indicate that nonlinear models can capture factors(valid nonlinearity) that contribute to the expert's predictive accuracy, but not factors (inconsistency) that detract from their predictive accuracy. Then, it is argued that nonlinear models cab be more accurate than linear models, or as accurate as human experts, especially when human experts employ valid nonlinear strategies in decision making.

• International Journal of Computer Science & Network Security
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• v.23 no.1
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• pp.25-32
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• 2023

Decision-making refers to identifying the best alternative among a set of alternatives. When a set of criteria are involved, the decision-making is called multi-criteria decision-making (MCDM). In some cases, the involved criteria may be prioritized by the human decision-maker, which determines the importance degree for each criterion; hence, the decision-making becomes prioritized multi-criteria decision-making. The essence of prioritized MCDM is raking the different alternatives concerning the criteria and selecting best one(s) from the ranked list. This paper introduces a generic multi-level algorithm for ranking multiple alternatives in prioritized MCDM problems. The proposed algorithm is implemented by a decision support system for selecting the most critical short-road requests presented to the transportation ministry in the Kingdom of Saudi Arabia. The ranking results show that the proposed ranking algorithm achieves a good balance between the importance degrees determined by the human decision maker and the score value of the alternatives concerning the different criteria.

• 제어로봇시스템학회:학술대회논문집
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• 2000.10a
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• pp.493-493
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• 2000

Multi-valued decision making for transitional stochastic events was newly derived based on conditional probability of database. The two values (on-off) decision making method without transition had been proposed by one of the author in a previous work for a purpose of realizing human on-off decision making. The current method is an extension of the previous on-off decision making. By combining the conditional probability and the transitional probability, the closed form of the algorithm for the multi-valued transitional decision making was derived. The proposed multi-valued decision making was successfully applied to the determination of the five levels of the vigilance of a subject during the EEG recording; awake stage, drowsy stage and sleeping stages (stage 1, stage 2/3, REM (rapid eye movement)). The method for determining the vigilance level can be directly usable for the two purposes; selection of awake EEG segments for automatic EEG interpretation, and determination of sleep stages through sleep EEG. The proposed multi-valued decision making with a mathematical background of the probability can be applicable widely, in industries and in medical fields for purposes of the multi-valued decision making.

• Journal of Families and Better Life
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• v.18 no.2
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• pp.109-123
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• 2000

The purpose of this study is to investigate decision making styles task management of urban homemakers. This study focuses on the following aspects: 1) to find out which variables of background variables (ie. age of couple, education of couple, duration of marriage, income, family life cycle, number of children) have effect on decision making styles & task management of urban homemakers. 2) to find out the relationships between decision making styles and task management of urban homemakers. 3) to find out independent influcene of background variables on task management. major findings are as follows; First, it is general tendency that decision making styles were human oriented in urban homemakers. Importance & Urgency of the task, age of homemakers, education of homemakers, family life cycle were significant variables to have influcence on task oriented decision making styles. Importance & urgency of task were variables to have influences on human oriented decision making styl s. Second, the tendency of dealing with task at once is the highest in the task management, on the other hand, the tendency of dealing with task in the next session is the lowest. Income is a variable to influence on dealing with task in delegation to others, education of homemaker is a variable to influence on dealing with task in next session and importance & urgency of the task and the number of children were variables to influence on dealing with task immediately. Third, human oriented decision marking style was a variable to influence on dealing with task in delegation with task in delegation to others, in the next session, and in suspending/ in neglecting. Task oriented decision making style was a variable to influence on dealing with task immediately. Fourth, The urgency of task & income were variables to have direct influence on dealing with task in delegation with task in next session, and the urgency of the task, age & education of homemaker and family life cycle were varia les to direct influence on dealing with the task immediately. The urgency & importance of the task and age of homemaker were variables to have indirect on dealing with the task urgency of task & the number of children were variables to have indirect influence on dealing with the task in suspending/in neglecting through the medium of the human oriented decision making styles.

• The Journal of the Convergence on Culture Technology
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• v.8 no.2
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• pp.77-82
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• 2022

Based on the relationship between parental attitudes, human rights awareness, and self-esteem, this study examines the effects of parental attitudes that respect children's decision-making on human rights consciousness, targeting elementary school students (grades 4-6). The purpose of this study is to investigate whether the relationship between parental attitudes and human rights awareness is mediated. As a result of this study, it was found that there is a positive correlation in the relationship between parental attitude, human rights awareness, and self-esteem respecting children's decision-making. In addition, it was found that self-esteem mediates the relationship between parental attitude and human rights awareness that respects children's decision-making. Therefore, in this study, the relationship between parenting attitudes and human rights consciousness, which respects children's decision-making, is to be examined in detail through self-esteem. Through this, the role of parents who respect children's decision-making and participation is necessary for the basic rights of children, and it suggests the importance of the mediating role of self-esteem in raising human rights awareness.

• 제어로봇시스템학회:학술대회논문집
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• 1997.10a
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• pp.783-786
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• 1997

Automatic realization of on-off human decision making was derived based on a conditional probability. Following the proposed procedure, problems of insulator washing timing in power substations and spike detection on EEG(electroencephalogram) records were appropriately solved.

• Toxicological Research
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• v.32 no.4
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• pp.275-280
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• 2016

Prenatal nicotine exposure over an entire pregnancy has been associated with an increased prevalence of hyperactivity, anxiety-like behavior and depression-like behavior in mature rats. However, the effects of maternal nicotine exposure in late gestation and lactation on the psychology and behavior of adolescent rat offspring are unclear. Thus, we investigated the effect of nicotine exposure during late gestation and lactation on anxiety-like and impulsive decision-making behavior in adolescent offspring of rat. Female rats were orally exposed to nicotine which is within range of plasma level of human chronic smokers during the period of third last period of gestation and lactation. When the offspring were weaned, we observed alterations in the anxiety-like behavior and decision-making ability of adolescent rat offspring using light/dark box test and T-maze delay-based cost-benefit decision-making task. The maternal consumption of nicotine reduced both the time spent in the light compartment and the number of transitions compared to nicotine-free rats. Moreover, such nicotine exposed adolescent offspring rats showed impulsive decision making which chose the instant reward in a decision-making situation. We found that nicotine exposure during late gestation and lactation induces an increase in anxiety-like and impulsive decision-making behavior at this developmental stage. These findings suggest that maternal nicotine-exposed offspring are at an increased risk of developing anxious and impulsive behavior.