• Title/Summary/Keyword: 음성기반 혁신

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스마트 세대의 AI기반 음성인식 서비스 구매의도 영향요인에 관한 연구

  • Park, Hae-Ryong
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2017.05a
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    • pp.645-645
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    • 2017
  • 이른바 제4차 산업혁명시대에 즈음하여 산업 기술간 융합과 함께 IOT, AI등 첨단 하이테크 제품, 서비스의 수요가 더욱 증가되는 추세이다. 현재의 스마트세대는 1인 가구가 증가 추세이며 나 홀로족인 혼술, 혼밥 등 솔로 마케팅 연구가 많이 진행 되어 지고 있다. 본 연구는 이에 발맞추어 스마트세대를 대상으로 이성적, 감성적 커뮤니케이션과 구매자의 개인적 특성을 중심으로 AI기반 음성인식 서비스의 구매의도 영향을 알아보고자 한다.

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Elderly Speech Signal Processing: A Systematic Review for Analysis of Gender Innovation (노인음성신호처리: 젠더혁신 분석에 대한 체계적 문헌고찰)

  • Lee, JiYeoun
    • Journal of Convergence for Information Technology
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    • v.9 no.8
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    • pp.148-154
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    • 2019
  • The purpose of this study is to review systematically the literatures on the research of the elderly speech signal processing based on the domestic gender innovation and to introduce the utility and innovation of the gender analysis methods. From 2000 to present, among the 37 research papers published in the Korean Journal, 25 papers were selected according to the inclusion and exclusion criteria. And gender analysis methods were applied to gender research subject and design. Research results show diversity of research field and high gender recognition of R & D team are needed in research and development of engineering of gender innovation perspective. In addition, government-level regulation and research funding should be systematically applied to gender innovation research processes in the elderly voice signal processing and various gender innovation projects. In the future gender innovation in the elderly speech signal processing can contribute to the creation of a new market by developing a voice recognition system and service that reflects the needs of both men and women.

기술 및 수요속성에 따른 정보통신서비스 확산 패턴

  • Kim, Mun-Su;Kim, Ho
    • Journal of Technology Innovation
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    • v.11 no.2
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    • pp.71-89
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    • 2003
  • Since technological innovation, adoption, and diffusion is a fundamental engine for a company's competitiveness and in turn a nation's industrial development, diffusion of technological innovation has been one of popular research themes to many researchers and scholars for decades. Especially, in today's knowledge-based economy, the IT technology became a fundamental infrastructure for a nation and thus their impact on a nation's economy has grown to be tremendous. This paper investigates the patterns of technological diffusion of 16 telecommunications services. Firstly, we identify the optimal diffusion model which represents the 15 IT innovation best in terms of goodness-of-fit. Secondly, based on the best model identified we cluster the 16 IT innovations according to their diffusion characteristics such as penetration rate and diffusion speed. Lastly, we categorize the innovations in terms of technology (voice-based innovation and data-based innovation) and demand (household-use and business-use) attributes, and compare their diffusion patterns and found some meaningful difference in diffusion patterns. We hope the result helpful to corporate managers as well as policy makers in relevant areas.

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Influence of User Innovativeness and Knowledge Base on Acceptance of Voice Shopping (사용자의 혁신성 및 지식수준이 가상비서 기반 음성쇼핑의 이용에 미치는 영향)

  • Jo, Woong;Ahn, Suho;Chung, Doohee
    • Asia-Pacific Journal of Business Venturing and Entrepreneurship
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    • v.15 no.2
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    • pp.153-169
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    • 2020
  • A new way of shopping based on virtual assistant, so called voice shopping, is drawing attention. The voice shopping market is growing around the world, and Korea is on the verge of full-scale commercialization of this new shopping. For the development of voice shopping-related industries, it is necessary to research on specific issues related to this new shopping methods, such as the quality of services, efficient processes tailored to new ways, and ways to build customer relationships. As part of such an attempt, the study seeks to determine the factors that affect consumers' perception and attitudes toward voice shopping. The study conducted the analysis based on survey response data of 171 online shopping users. In addition to the typical factors of the technology acceptability model(TAM) such as perceived usefulness and ease of use, the impact of perceived playfulness was included for analyzing the intention on the acceptance of voice shopping. In particular, this study focuses on the impact of user attributes. For the spread of voice shopping, it is necessary to set up a valid target customer and understand users for establishing an effective customer relationship. Therefore, this study tries to analyze how the perceptions on the voice shopping(perceived usefulness, ease of use, and perceived playfulness) are affected by users' attributes, such as user innovativeness and user knowledge level. The result of analysis shows that user innovativeness have a positive relationship with all of perceived usefulness, ease of use, and perceived playfulness. The user knowledge base, however, was not significant to all these three variables. The user knowledge base is shown to have a positive effect on user innovativeness which is the source of positively significant factor for the variable of the perceptions on the voice shopping. Meanwhile, among the variables of extended technology acceptance model, perceived usefulness and perceived playfulness have positive effects on the acceptance of voice shopping, while ease of use has no significant impact on the voice shopping acceptance. Ease of use has a positive relationship with perceived usefulness and playfulness. This study is meaningful in providing implications on the development of voice shopping platforms and related services, and establishment of customer relationship.

ZnO 나노선 소자 연구동향

  • 심성규;이종수;김상식
    • Electrical & Electronic Materials
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    • v.17 no.5
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    • pp.30-36
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    • 2004
  • 현대 사회는 지식 정보화를 추구하며 변화하고 있다. 지식, 정보화 사회는 개인, 기업 및 사회 모든 주체의 업무효과의 극대화할 수 있는 인프라를 제공하게 될 것이며 이는 영상, 음성, 데이터 등의 다양한 정보의 교환으로 이어져 인간생활의 새로운 혁신을 예고하고 있다. 한편 지식 정보화에는 고도의 정보 저장 및 통신기술이 필수적으로 요구되며 기존의 실리콘기반 소자의 고성능화 이외에 새로운 기술혁신을 요구하고 있다. 1980년대 이후 광통신에 레이저가 응용되고 1990년대 후반에 이르러 수십 나노미터 크기의 양자우물 구조의 화합물 반도체기반의 녹색 및 청색 LD, LED 및 백색 광 다이오드가 구현되면서 화합물 반도체는 정보 통신에 적합한 소재로 인식되기 시작하였다. 기존 실리콘과 다른 물리적 화학적 성질로 인하여 적극적인 연구와 기술적인 시도가 이루어지고 있다. 1900년대 실리콘기반 전자 소자 기술이 비약적으로 발전하면서 새로운 혁신을 보여주었고 그 포화된 기술에 뒤를 이어 화합물 반도체에 의한 기술의 혁신이 예고 되고 있는 것이다.(중략)

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Gendered innovation for algorithm through case studies (음성·영상 신호 처리 알고리즘 사례를 통해 본 젠더혁신의 필요성)

  • Lee, JiYeoun;Lee, Heisook
    • Journal of Digital Convergence
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    • v.16 no.12
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    • pp.459-466
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    • 2018
  • Gendered innovations is a term used by policy makers and academics to refer the process of creating better research and development (R&D) for both men and women. In this paper, we analyze the literatures in image and speech signal processing that can be used in ICT, examine the importance of gendered innovations through case study. Therefore the latest domestic and foreign literature related to image and speech signal processing based on gender research is searched and a total of 9 papers are selected. In terms of gender analysis, research subjects, research environment, and research design are examined separately. Especially, through the case analysis of algorithms of the elderly voice signal processing, machine learning, machine translation technology, and facial gender recognition technology, we found that there is gender bias in existing algorithms, and which leads to gender analysis is required. We also propose a gendered innovations method integrating sex and gender analysis in algorithm development. Gendered innovations in ICT can contribute to the creation of new markets by developing products and services that reflect the needs of both men and women.

Factors Affecting Users to Adopt Voice Shopping: Empirical evidence from the UTAUT model (인공지능 기반 음성쇼핑(Voice Shopping)의 수용의도에 영향을 미치는 요인 연구: 확장된 통합기술수용모델을 중심으로)

  • Ahn, Suho;Jo, Woong;Chung, Doohee
    • Journal of Technology Innovation
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    • v.27 no.4
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    • pp.111-144
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    • 2019
  • As virtual assistants rapidly diffused into the market, the voice shopping market is expected to expand. The purpose of this study is to identify the factors that determine the consumers' intention to adopt voice shopping by using the unified theory of acceptance and use of technology(UTAUT). In this study, we set variables that influence the intention to adoption of voice shopping with performance expectation and effort expectations as the variables of UTAUT and playfulness expectations as an extended variable. In addition, we also include four voice secretary attributes such as response accuracy, compatibility, social presence, and safety in our research model to investigate the source of motivation of voice shopping adoption. The result of this analysis shows that variables such as performance expectation, effort expectation, and amusement expectation have a positive effect on the intention to adoption of voice shopping. With respect to the four voice shopping attributes, compatibility had a positive effect on performance expectancy, effort expectancy, and playfulness expectancy. Social presence has a positive effect on playfulness expectancy. Safety has a positive effect on effort expectancy and playfulness expectancy. On the other hand, response accuracy is not significant for performance expectancy, effort expectancy, and playfulness expectancy. This study reveals the determinants of intention to adopt the new purchasing method called voice shopping, and suggests the important factors for the innovation of commerce business.

The Effect of Perceived Anthropomorphic Characteristics on Continuous Usage Intention of Artificial Intelligence Voice Speaker : Based on the Integrated Adoption Model (인공지능 음성 스피커의 의인화 특성 지각 정도가 지속적 이용 의향에 미치는 영향: 통합 수용 모델을 기반으로)

  • Lee, Sungjoon
    • The Journal of the Korea Contents Association
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    • v.21 no.11
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    • pp.41-55
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    • 2021
  • AI voice speaker has played an important role in forming an early market and development for AI-based goods and service with growing attention from many people. In this context, this research examined factors affecting continuous intention of AI voice speaker based on the integrated adoption model, which combined two factors of perceived playfulness and innovation resistance with extended technology acceptance model. It was also examined whether three perceived anthropomorphic features(i.e., perceived rational support, perceived intimacy, perceived cognitive openness) have influences on continuous intention of AI voice speaker. The data was collected by an online-survey and were responses of those who are in their 20s and 30s and have experienced in using AI voice speaker. They were analyzed by using SEM(Structural Equation Modeling). The results showed that all of perceived ease of use, perceived usefulness, perceived playfulness and innovation resistance had significant influences on continuous intention of AI voice speaker. In addition, all of perceived rational support, perceived intimacy and perceived cognitive openness as perceived anthropomorphic features had significant influences on perceived ease of use, perceived usefulness and perceived playfulness. The implications of found results in this research was also discussed.

광케이블의 국산화

  • 김기대
    • 전기의세계
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    • v.46 no.7
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    • pp.75-77
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    • 1997
  • 정보통신 기술이 혁신적으로 발달하고 정보화가 국가 경쟁력의 핵심요소로 등장하면서 선진국에서는 21세기를 대비한 국가 기반구조 확충을 위해 음성, 데이터, 영상 등 다양한 형태의 정보를 전송할 수 있는 정보고속도로를 경쟁적으로 구축하고 있다. 이 정보고속도로의 핵심적 역할을 하고 있는 것이 광케이블망이며 관련 산업의 육성발전이 국가 경쟁력을 키우는 전략적 요소가 될 것이다. 여기서는 광섬유의 태동에서부터 우리나라의 광섬유 및 광케이블의 개척기, 광케이블의 개발과정, 그리고 우리의 기술이 세계적 경쟁력을 갖추게 된 국산화 과정을 살펴보기로 하자.

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LLM-based chatbot system to improve worker efficiency and prevent safety incidents (작업자의 업무 능률 향상과 안전 사고 방지를 위한 LLM 기반 챗봇 시스템)

  • Doohwan Kim;Yohan Han;Inhyuk Jeong;Yeongseok Hwnag;Jinju Park;Nahyeon Lee;Yujin Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.321-324
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    • 2024
  • 본 논문에서는 LLM(Large Language Models) 기반의 STT 결합 챗봇 시스템을 제안한다. 제조업 공장에서 안전 교육의 부족과 외국인 근로자의 증가는 안전을 중시하는 작업 환경에서 새로운 도전과제로 부상하고 있다. 이에 본 연구는 언어 모델과 음성 인식(Speech-to-Text, STT) 기술을 활용한 혁신적인 챗봇 시스템을 통해 이러한 문제를 해결하고자 한다. 제안된 시스템은 작업자들이 장비 사용 매뉴얼 및 안전 지침을 쉽게 접근하도록 지원하며, 비상 상황에서 신속하고 정확한 대응을 가능하게 한다. 연구 과정에서 LLM은 작업자의 의도를 파악하고, STT 기술은 음성 명령을 효과적으로 처리한다. 실험 결과, 이 시스템은 작업자의 업무 효율성을 증대시키고 언어 장벽을 해소하는데 효과적임이 확인되었다. 본 연구는 제조업 현장에서 작업자의 안전과 업무 효율성 향상에 기여할 것으로 기대된다.

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