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양희태(Heetae Yang) 한국진로창업경영학회 2023 한국진로창업경영학회지 Vol.7 No.5
퍼스널 모빌리티 분야는 전세계적인 공유 서비스 보편화와 함께 친환경성과 편의성을 내세우며 급성장하고 있다. 그러나 이용자들의 운전 미숙과 관련 법제도의 실효성 부족 등으로 이용자 및 보행자 대상의 안전사고 건수도 빠르게 증가하고 있다. 이에 본 연구에서는 텍스트마이닝 기법을 활용해 퍼스널 모빌리티의 안전성에 대한 대국민 인식을 분석하고, 이를 바탕으로 퍼스널 모빌리티 산업 활성화의 초석이 되는 안전성 제고 정책들을 제시하였다. 구체적으로 1) 기술 고도화 측면에서 카메라 기반 VPS 기술/AR 기술 개발 및 헬멧 소재 및 혁신 연구 지원, 2) 사업모델 개선 측면에서 거리당 과금 방식 도입, 3) 구현 기반 강화 측면에서 배터리 안전성 제고와 자전거 도로 확충 및 개선, 4) 안전성 실증 테스트 강화 측면에서 안전 속도 모니터링 시스템 개발 및 테스트 지원과 퍼스널 모빌리티 전용 면허증 발급을 제안하였다. The field of personal mobility is experiencing rapid growth worldwide, driven by the proliferation of shared services and its appeal as an environmentally friendly and convenient mode of transportation. However, the increasing number of safety incidents involving users and pedestrians, attributed to factors such as user inexperience and inadequacies in regulatory frameworks, raises concerns. In this study, we employ text mining techniques to analyze the public perception of safety in personal mobility and propose policy alternatives to promote the development of the personal mobility industry. Specifically, our recommendations include: 1) Advancing technological sophistication through the development of camera-based Vision Positioning System (VPS) technology, augmented reality (AR) technology, and support for helmet materials and innovation research; 2) Improving business models by introducing distance-based charging mechanisms; 3) Strengthening infrastructure through enhanced battery safety measures, expansion and enhancement of bicycle lanes and roads; and 4) Reinforcing safety verification tests by developing and supporting a safety speed monitoring system and introducing specialized licenses for personal mobility operation.
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동적 사용자 프로필 및 협업 필터링을 이용한 소셜 네트워크 그룹 추천
양희태(Heetae Yang),차재홍(Jaehong Cha),안민제(Minje Ahn),임종태(Jongtae Lim),이하(He Li),복경수(Kyoungsoo Bok),유재수(Jaesoo Yoo) 한국콘텐츠학회 2013 한국콘텐츠학회논문지 Vol.13 No.11
최근 SNS(Social Network Service)의 사용이 급격히 증가함에 따라 추천 기법에 대한 연구가 활발히 진행되고 있다. 추천 기법은 사용자들이 좋아하거나 필요할만한 다양한 서비스들을 실시간으로 제공하는 기법이다. 그 중 그룹 추천은 사용자의 성향 정보를 기반으로 적합한 그룹을 제공해 주는 기법이다. 본 논문에서는 소셜 네트워크 환경에서 사용자 프로필 및 협업 필터링을 이용한 그룹 추천 기법을 제안한다. 제안하는 기법은 사용자의 최근 그룹 활동 정보를 수집하여 프로필 정보를 갱신하기 때문에 기존의 정적프로필 기반의 그룹 추천 기법의 최근 사용자의 성향을 고려하지 못하는 문제점을 해결한다. 또한, 협업필터링을 통해 그룹 내 자신의 성향과 비슷한 사용자들의 프로필 데이터를 활용하여 그룹을 추천함으로써 사용자에게 좀 더 다양한 그룹을 제공한다. 성능 평가 결과 제안하는 기법이 기존 기법에 비해 사용자의 변화하는 성향이 충분히 반영된 다양한 그룹 추천이 이루어지는 것을 확인 할 수 있었다. Recently, as SNS services have been increased, studies on recommendation schemes have been actively done. Recommendation scheme provides various favorable or needed services with users on real time. Group recommendation provides users with suitable groups based on their preference. In this paper, we propose a new group recommendation scheme considering user profiles and collaborative filtering in social networks. The proposed scheme can solve the problems of the static profile based group recommendation scheme because it collects the recent group activities and updates user profiles. It also recommends the more various groups by reflecting the similar tendencies of other users within a group through collaborative filtering. Our experimental results show that the proposed scheme recommends various groups that significantly considers the users changing preferences compared to the existing scheme.
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인공지능 기술 전망과 혁신정책 방향 - 국가 인공지능 R&D 정책 개선방안을 중심으로 -
양희태(Heetae Yang),최병삼(Byong-Sam Choi),이제영(Jei Young Lee),장훈(Hoon Jang),백서인(Seoin Baek),김단비(Danbi Kim),추형석,오혜연,정혜동,신사임,김선진 과학기술정책연구원 2019 정책연구 Vol.- No.-
The purpose of this study is to suggest directions for national AI R&D and institutional improvement, taking into account the importance, maturity and market acceptability of the AI technologies. This study is intended to cover both supply perspectives(research and development ecosystems) and demand perspectives (market acceptability). First of all, from the supply perspective, we redefined the AI technology classification system that was not clearly defined. And then, based on this, we assessed the importance and maturity of the technology. As a result of the assessment, the importance of signal recognition/analysis technology was the highest among the five major AI technologies (3 major algorithms: image・picture recognition/analysis, signal recognition/analysis, text・language recognition/analysis, data retention/processing, computing), but its technology maturity was the lowest, indicating that research and development is an urgent for this sector. Although the importance and maturity of data retention /processing technology were high due to the development of big data technology, it was confirmed that securing high quality data was still an issue. And we looked at trends in R&D and products/services of major global AI companies of the U.S., China, and Korea, and analyzed the strengths and weaknesses of Korea through comparing their competitiveness. As a result of the analysis, it was confirmed that all AI companies were striving to respond to the market in a timely manner through M&A and open R&D, and, in case of China, the government and companies have actively cooperated and have already surpassed the U.S. in some areas. However, it was found that Korea lagged behind the United States and China in all areas of AI technology according to the result of the study. From the demand perspective, we made the process map of the actual experience cycle of the user by figuring out the AI application field and the actual use case, and derived the pain points of consumers. Then, we analyzed what AI technology could be used to solve the found pain points of customers. As a result of the analysis, it was confirmed that there were key pain points that could hinder commercialization in all use cases. It has also been found that signal recognition/analysis, which was relatively less mature than image・picture recognition/analysis, text・language recognition/analysis, data retention/processing, computing in terms of the technology, was a key technology for solving the pain point of all use cases. Last but not least, the "wearable health care" and the "P2P loan" were derived as the most favorable example of commercialization among the total 10 use cases when judging based on the fact that 1) they had less pain point, 2) the pain point issue could be solved with the image・picture recognition/analysis and text・language recognition/analysis, which were relatively highly matured in terms of the algorithms, and 3) it was possible to realize the functions required by consumers through its own dataset. Based on these implications from the study on the supply and demand perspectives, we finally suggested a total of 8 innovation policy improvement measures by comparing Korea’s national strategies and research tasks on the AI with that of major countries such as USA, Japan, and China such as ① strengthen the R&D related to signal recognition/analysis continuously, ② increase building and sharing of high quality datasets, ③ expand the scope of research in basic sciences, ④ adopt the strategy to enhance the national main industry based on AI as a national strategy, ⑤ harmonize the top-down original · basic R & D with the bottom-up applied R & D, ⑥ establish measures to increase the retention of talented high quality human resources and an open global research network, ⑦ institutional improvement to enhance the data utilization, ⑧ legislation to prevent and judge liability in case of criminal abuse and in th
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양희태(HeeTae Yang) 한국콘텐츠학회 2017 한국콘텐츠학회논문지 Vol.17 No.10
본 연구는 지각된 가치를 이론적 배경으로, 가상개인비서 기기의 소프트웨어와 하드웨어적 특성을 고려해 잠재 고객들의 사용 의도를 설명 할 수 있는 연구 모형을 제안하였다. 313명의 잠재 고객들을 대상으로 설문조사를 진행하였고 부분최소자승법(Partial Least Square, PLS)을 통해 연구모형 및 가설들을 검증하였다. 결과적으로 지각된 가치, 지각된 유용성, 지각된 유희성, 콘텐츠 품질, 시각적 매력도 모두 가상개인비서기기 수용에 긍정적인 영향을 미치는 것으로 밝혀졌다. 따라서 가상개인비서 기기 제조업체는 잠재 고객들의 사용 의도를 높이기 위해 실용적 기능 뿐 아니라 흥미를 유발시킬 수 있는 오락적 기능 개발에도 집중해야 하며, 개방형 개발 생태계를 구축해 다양한 어플리케이션들을 효율적으로 개발·관리할 필요가 있다. 기술적 특성이나 사용 패턴에 대한 분석이 대부분이었던 기존 연구와 달리 본 연구는 가상개인비서 기기의 소비자 수용을 실증적으로 연구한 것에 의의가 있으며 향후 보안/프라이버시 위험 등을 고려한 후속 연구들의 기반이 될 것이다. The purpose of this paper is to develop a comprehensive research model that can explain potential customers’ intentions to adopt and use VPA(Virtual Personal Assistants) devices. This study proposes and validates a new theoretical model that extends the perceived value theory. Partial least squares analysis is employed to test the research model and corresponding hypotheses on data collected from 313 survey samples. Perceived value, perceived usefulness, perceived enjoyment are important factors affecting the adoption of VPA devices. To increase potential users’ intention to use, VPA device manufacturers should not only focus on developing utilitarian functions but also fun features based on open development echo-system. This study is the important empirical attempt to examine user acceptance of VPA devices, as most of the prior literature has concerned analysis of usage patterns or technical features.
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