• Language and Information
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• v.8 no.2
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• pp.113-130
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• 2004

In a prevailing view of meaning and reference (cf. Frege 1892), words pick out entities in the physical world by virtue of meaning. Linguists and philosophers have argued whether the meaning of a word is inside or out-side language users' mind; but, in general, they have taken it for granted that words refer to entities in the physical world. Hilary Putnam (1975), based on his famous twin-earth thought experiment, argued that the meaning of a word could not be inside language users' head. In this paper, I point out that Putnam's argument makes sense only if words refer to entities in the physical world. That is, Putnam did not provide any argument against mentalistic semantics, since he erroneously assumed that meaning, but not reference, was inside our mind in mentalistic semantics. Mentalistic semanticist, however, assume that words pick out their references inside our head (instead of a possible outside world). A number of arguments for the mentalistic position come from psychology: studies on emotion and visual perception provide numerous cases where words cannot pick out entities from the physical world, but inside our head. The mentalistic theory has desirable consequences for the philosophy of language in that some classical puzzles of language (e.g. Russell's (1919) well-known puzzle of excluded middle) are explained well in the proposed theory.

• Journal of Korea Society of Digital Industry and Information Management
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• v.18 no.4
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• pp.67-75
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• 2022

Recently, e-learning has been attracting significant attention due to COVID-19. However, while e-learning has many advantages, it has disadvantages as well. One of the main disadvantages of e-learning is that it is difficult for teachers to continuously and systematically monitor learners. Although services such as personalized e-learning are provided to compensate for the shortcoming, systematic monitoring of learners' concentration is insufficient. This study suggests a method to evaluate the learner's concentration by applying machine learning techniques. In this study, emotion and gaze data were extracted from 184 videos of 92 participants. First, the learners' concentration was labeled by experts. Then, statistical-based status indicators were preprocessed from the data. Random Forests (RF), Support Vector Machines (SVMs), Multilayer Perceptron (MLP), and an ensemble model have been used in the experiment. Long Short-Term Memory (LSTM) has also been used for comparison. As a result, it was possible to predict e-learners' concentration with an accuracy of 90.54%. This study is expected to improve learners' immersion by providing a customized educational curriculum according to the learner's concentration level.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.11a
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• pp.559-561
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• 2022

인공지능 시대에 들어서면서 개인 맞춤형 환경을 제공하기 위하여 사람의 감정을 인식하고 교감하는 기술이 많이 발전되고 있다. 사람의 감정을 인식하는 방법으로는 얼굴, 음성, 신체 동작, 생체 신호 등이 있지만 이 중 가장 직관적이면서도 쉽게 접할 수 있는 것은 표정이다. 따라서, 본 논문에서는 정확도 높은 얼굴 감정 식별을 위해서 Convolution Block Attention Module(CBAM)의 각 Gate와 Residual Block, Skip Connection을 이용한 Identity- CBAM Module을 제안한다. CBAM의 각 Gate와 Residual Block을 이용하여 각각의 표정에 대한 핵심 특징 정보들을 강조하여 Context 한 모델로 변화시켜주는 효과를 가지게 하였으며 Skip-Connection을 이용하여 기울기 소실 및 폭발에 강인하게 해주는 모듈을 제안한다. AI-HUB의 한국인 감정 인식을 위한 복합 영상 데이터 세트를 이용하여 총 6개의 클래스로 구분하였으며, F1-Score, Accuracy 기준으로 Identity-CBAM 모듈을 적용하였을 때 Vanilla ResNet50, ResNet101 대비 F1-Score 0.4~2.7%, Accuracy 0.18~2.03%의 성능 향상을 달성하였다. 또한, Guided Backpropagation과 Guided GradCam을 통해 시각화하였을 때 중요 특징점들을 더 세밀하게 표현하는 것을 확인하였다. 결과적으로 이미지 내 표정 분류 Task에서 Vanilla ResNet50, ResNet101을 사용하는 것보다 Identity-CBAM Module을 함께 사용하는 것이 더 적합함을 입증하였다.

• Journal of the Korean Society for Library and Information Science
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• v.58 no.3
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• pp.359-380
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• 2024

The purpose of this study is to increase understanding of the library use behavior and preferences of the elderly by exploring positive and negative experience factors in the use of public libraries by the elderly. To this end, the Critical Incident Technique (CIT) was applied and individual in-depth interviews were conducted with elderly people who use public libraries. Analysis of the collected data was conducted by applying the constant comparison method, and 12 categories of positive experience factors and 12 categories of negative experience factors were derived under four areas: data, service-program, environment-facility, and emotion. Based on these results, suggestions were made regarding public library services for the elderly.

• Journal of the Korean Institute of Intelligent Systems
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• v.24 no.3
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• pp.292-297
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• 2014

As a Social Network Service (SNS) has become an integral part of our everyday lives, millions of users can express their opinion and share information regardless of time and place. Hence sentiment analysis using micro-blogs has been studied in various field to know people's opinion on particular topics. Most of previous researches on movie reviews consider only positive and negative sentiment and use it to predict movie rating. As people feel not only positive and negative but also various emotion, the sentiment that people feel while watching a movie need to be classified in more detail to extract more information than personal preference. We measure sentiment distributions of each movie from tweets according to the Thayer's model. Then, we find similar movies by calculating similarity between each sentiment distributions. Through the experiments, we verify that our method using micro-blogs performs better than using only genre information of movies.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.22 no.1
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• pp.79-93
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• 2011

This study aims to analyzed the treatment factors in the reading activities in order to examine the possibility for such factors to applied to the actual life of the old, and sought for the utilization and direction of the reading program that is presented as the treatment and prevention of the emotional problems of the old people. Considering such circumstances, involving in reading activities improves the quality of the old people's life by meeting their internal desire by themselves and giving the meaning to their life with creativity. In addition, the reading activities helps the old people to express in-depth conflicts, emotion, desire and thinking that they are routinely experiencing, thus leading to the treatment of their agony, trauma, and pain. In such sense, it is very meaningful for the elderly to be joined in any reading activities.

• Journal of Korean Library and Information Science Society
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• v.47 no.3
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• pp.261-288
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• 2016

This study aims to analyzed the treatment factors in the reading activities in order to examine the possibility for such factors to applied to the actual life of the meddle-aged, and sought for the utilization and direction of the reading program that is presented as the treatment and prevention of the emotional problems of the meddle-aged people. Considering such circumstances, involving in reading activities improves the quality of the meddle-aged people's life by meeting their internal desire by themselves and giving the meaning to their life with creativity. In addition, the reading activities helps the meddle-aged people to express in-depth conflicts, emotion, desire and thinking that they are routinely experiencing, thus leading to the treatment of their agony, trauma, and pain. In such sense, it is very meaningful for the middle-aged to be joined in any reading activities.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.40 no.8
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• pp.1637-1642
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• 2015

Next-generation applications using technology IT fused to biological signals from the emotional state to extract a lot of research has been, and the sensitivity of the human sensory functions influences the physiological condition known to be the fact that. In this paper, Propose an Emotional-lighting control algorithm using bio-signals. LED lighting for Emotion light is environmentally friendly and has a high efficiency and long life. In particular, LED lights are different colors represent the possible single light sphere advantages. And, Human sensitivity for determining a more accurate biological signals using EEG was collected using EEG equipment sensitivity was determined to analyze the EEG.

• Proceedings of the KAIS Fall Conference
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• 2008.05a
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• pp.241-244
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• 2008

인간의 감정과 심리 상태를 분석하는 것은 다양한 분야에서 사용되고 있는 응용 기술이다. 이와 같은 분석 분야는 최근 들어 오감의 연계와 결과의 이용에 따른 맞춤형 기술로 다양화 되어 가고 있다. 따라서 본 논문에서는 감정 및 심리 상태를 분석하기 위한 방법 중 흔하게 접할 수 있는 얼굴 영상과 음성을 통한 실험을 진행하고자 한다. 이를 위해 기존의 영상학적, 음성학적 분석 방법을 정립하고 감정 및 심리 상태를 적절한 배경에 맞춰 분석이 가능한 형태로 결과값을 출력하는 기법을 제안하고자 한다. 또한 실험을 통해 추출한 연구 과정 및 방법을 이용하여 실제 사례에 대한 분석 기법의 적용을 도입하고자 한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.11a
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• pp.656-659
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• 2023

정서적 지원 대화를 위한 챗봇 개발 시, 사용자의 챗봇에 대한 사용성 및 대화 적절성을 높이기 위해서는 사용자 감정에 적합한 지원 콘텐츠를 제공하는 것이 중요하다. 이를 위해, 본 논문은 사용자 입력 텍스트의 감정 강도 예측 모델을 제안하고, 사용자 발화 맞춤형 정서적 지원 대화에 적용하고자 한다. 먼저 입력된 한국어 문장에서 키워드를 추출한 뒤, 이를 각성도 (arousal)과 긍정부 정도(valence) 공간에 투영하여 키워드가 내포하는 각성도-긍정부정도에 가장 근접한 감정을 예측하였다. 뿐만 아니라, 입력된 전체 문장에 대한 감정 강도를 추가로 예측하여, 핵심 감정 강도 - 문맥상 감정강도를 모두 추출하였다. 이러한 통섭적 감정 강도 지수들은 사용자 감정에 따른 최적 지원 전략 선택 및 최적 대화 콘텐츠 생성에 공헌할 것으로 기대한다.