• Journal of Information Technology Applications and Management
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• 제31권1호
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• pp.97-112
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• 2024

In order to verify the factors affecting the acceptance of Serious Games for Healthcare (SGHs), this study developed a hierarchical model of general and specific benefit and risk factors affecting the intention to use SGHs based on the valence framework. As a result based on 199 samples, it was revealed that perceived customization and perceived schedule flexibility had a positive effect on the perceived benefits, which, in turn, had a positive effect on the intention to use SGHs. However, among the specific risk factors, only privacy risk had a positive effect on perceived risk, but it did not have a effect on SGHs usage intention. The results related to the fact that the survey respondents were potential users of SGHs and the bias that may overestimate the benefits provided by SGHs called optimistic bias. Based on these findings, some implications were presented such as the spread and distribution of SGHs to the ordinary persons, improvement of negative perceptions of games, and the need for data-based services to refine customized services for SGHs.

• Healthcare Informatics Research
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• 제24권4호
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• pp.309-316
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• 2018

Objectives: Both the valence and arousal components of affect are important considerations when managing mental healthcare because they are associated with affective and physiological responses. Research on arousal and valence analysis, which uses images, texts, and physiological signals that employ deep learning, is actively underway; research investigating how to improve the recognition rate is needed. The goal of this research was to design a deep learning framework and model to classify arousal and valence, indicating positive and negative degrees of emotion as high or low. Methods: The proposed arousal and valence classification model to analyze the affective state was tested using data from 40 channels provided by a dataset for emotion analysis using electrocardiography (EEG), physiological, and video signals (the DEAP dataset). Experiments were based on 10 selected featured central and peripheral nervous system data points, using long short-term memory (LSTM) as a deep learning method. Results: The arousal and valence were classified and visualized on a two-dimensional coordinate plane. Profiles were designed depending on the number of hidden layers, nodes, and hyperparameters according to the error rate. The experimental results show an arousal and valence classification model accuracy of 74.65 and 78%, respectively. The proposed model performed better than previous other models. Conclusions: The proposed model appears to be effective in analyzing arousal and valence; specifically, it is expected that affective analysis using physiological signals based on LSTM will be possible without manual feature extraction. In a future study, the classification model will be adopted in mental healthcare management systems.

• 지식경영연구
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• 제19권3호
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• pp.173-187
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• 2018

This study was aimed at suggesting an integrative framework for creating collective intelligence and enhancing group performance after reviewing previous studies including those related to learning organizations, organizational learning, knowledge management, and collective intelligence. In the first, we examined that the similarities and differences between collective intelligence and other similar concepts, such as learning organizations, organizational learning, and knowledge management. Next, an integrative framework for creating collective intelligence and channeling it into strong group performance were suggested. In this process, we reviewed conditions for creating collective intelligence and segmented the major variables as expectancy, valence, and instrumentality, according to Vroom's (1964) expectancy theory. Characteristics of problems and the roles of leaders were respectively considered as valence for inducing collaboration and expectancy for managing probability to achieve goals. Instrumental factors were also adopted from conditions for creating group intelligence suggested from several researchers, such as creativity, openness, willingness for working together, horizontal communication, centralization in decision making, and building effective information and communication technology system and active usage of it. We discussed two potentially disputable matters about the scope and level of collective intelligence and group performance and suggest several theoretical and practical implications in the Discussion.

• Bulletin of the Korean Chemical Society
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• 제35권4호
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• pp.1225-1228
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• 2014

• 산업융합연구
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• 제21권9호
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• pp.23-32
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• 2023

게임을 통해 건강을 증진할 수 있는 건강 기능성 게임(SGHs)에 대한 관심이 고조되고 있다. 디지털 치료제(DTx)는 유효성과 안전성을 확보한 치료제이기 때문에 전통적인 의약품 유통방식을 따라야 하지만, SGHs는 웰니스 제품으로 DTx에 비해 보급과 확산이 유연하다. 또한 SGHs는 일시적인 치료 효과가 아닌 지속적인 모니터링과 피드백을 통해 맞춤형 서비스를 제공할 수 있어 효과적이며, SGHs를 인지장애치료나 행동교정 등에 적용할 경우 오작동과 부작용이 경미하다. 본 연구는 SGHs의 지각된 혜택과 위험을 동시에 고려하는 밸런스 프레임워크(Valence Framework)를 기반으로 142명의 학부생을 대상으로 설문을 수집하여 지각된 혜택만이 SGHs 사용 의도에 통계적으로 유의한 정(+)의 영향을 준다는 점을 실증하였다. 이러한 결과를 바탕으로 일반 사용자를 대상으로 한 SGHs 수용에 있어 혜택(유효성)을 중심으로 홍보하고, 데이터 주도형 (data-driven) 접근방법의 중요성과 데이터 주도형 유통 및 분석 플랫폼 전략의 필요하다는 시사점을 제시하였다.

• Asia pacific journal of information systems
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• 제25권4호
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• pp.746-762
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• 2015

This study developed a conceptual model that integrated psychological and physical reactions resulting from online tourism reviews through a longitudinal trust-satisfaction model (LSTM) developed based on the extended valence framework and expectation-confirmation theory. Online reviews are essential factor of consumer's purchase decision. This phenomenon is well applied in a tourism context. However, investigations on online reviews in a longitudinal approach in a tourism context are quite limited. Therefore, this study suggests a conceptual model based on LTSM and several propositions about how online tourism reviews, which are divided into factual and experiential reviews, influence the future travelers' perceptions and attitudes, such as expectation, confirmation, and destination loyalty, in a longitudinal format by examining previous related studies. Finally, expected results were discussed and several implications were described theoretically and practically.

• International Journal of Computer Science & Network Security
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• 제23권10호
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• pp.21-29
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• 2023

Recently there has been an increase in interest and competition in sharing economy platforms. The success stories of many companies have spread in this field, such as Uber, but on the other hand, there are many other companies that have failed. We studied and analyzed the factors that affect the user's participation in the sharing economy platforms as an essential part of this system, and how to maintain the consumer's intention of use without compromising consumer satisfaction, as it has become an issue of great importance on the path to the success of the sharing platforms. Relying on the expanded valence framework and expectation confirmation theory as a basis, we constructed hypotheses that influence intention to participate in participatory platforms. Results show that system quality, trust, perceived benefits, and satisfaction are important factors that positively influence intention to continue to participate. This research is expected to help researchers move forward with research related to the future and help business managers understand user insights and integrate them with their business model to help the success, development and expansion of their business in the Kingdom of Saudi Arabia.

• Bulletin of the Korean Chemical Society
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• 제6권5호
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• pp.309-311
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• 1985

When a molecule is perturbed by an external field, the perturbed moecue can be described as a doubly perturbed system. Hartree-Fock operator in the absence of the field is the zeroth order Hamiltonian, and a correlation operator and the external field operator are perturbations. The effective Hamiltonian, which is a projection of the total Hamiltonian onto a small finite subspace (usually a valence space), has been formally derived. The influence of the external field to the molecular Hamiltonian itself has been examined within an effective Hamiltonian framework. The first order effective expectation values, for instance electromagnetic transition amplitudes, between valence states are found to be easily calculated - by simply taking matrix elements of the effective external field operator. Implications of the terms in perturbation expansion are discussed.

• 감성과학
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• 제17권2호
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• pp.3-12
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• 2014

기부 광고가 기부의향을 효과적으로 촉진시키기 위해서는 목표 청중이 동정심, 공감이나 심리적 불편감 등의 정서를 느끼도록 하는 전략이 필요한 것으로 알려졌다. 선행연구들은 기부 광고에 의해서 유발되는 정서적 경험에 영향을 미칠 수 있는 요인으로 광고의 언어적 요소인 메시지의 속성(구체성과 정서가)과 그에 따른 심리적 반응(심상 유발과 주의 집중)을 제안한다. 기부 광고를 처리하는 심리적 기제를 이해하기 위해서, 본 연구는 선행 연구들을 근거로 '기부 광고의 메시지 속성 (메시지의 구체성과 정서가) ${\rightarrow}$ 심상 유발과 주의 집중 ${\rightarrow}$ 정서적 경험 ${\rightarrow}$ 기부의향'의 개념적 모형을 제안하였다. 이와 같은 개념적 모형 중 본 연구는 메시지의 구체성과 정서가가 (1) 심상 유발과 주의 집중에 미치는 영향을 ERP로 측정하고, (2) 기부의향에 미치는 영향을 기부의향금액을 측정하여 실증적으로 검증하고자 했다. 그 결과, 구체적인 메시지는 추상적인 메시지에 비해서 심상을 더 유발시키며, 부정적인 메시지는 긍정적인 메시지에 비해서 더 많은 주의를 불러일으키는 것으로 밝혀졌다. 또한 메시지가 구체적이면서 부정적일 경우, 기부희망금액이 가장 높은 것으로 나타났다.

• Bulletin of the Korean Chemical Society
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• 제24권6호
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• pp.809-811
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• 2003

This brief review contains surveys of both four-component and two-component relativistic molecular theories. First the four-component relativistic approach is reviewed. Emphasis is placed on efficient computational schemes for the four-component Dirac-Hartree-Fock and Dirac-Kohn-Sham methods. Next, in the twocomponent relativistic framework, two relativistic Hamiltonians, RESC and higher-order Douglas-Kroll (DK), are introduced. An illustrative application is shown for the relativistic study on valence photoelectron spectrum of OsO₄. The developing four-component relativistic and approximate quasi-relativistic methods have been packed in a program suite named REL4D.