• Proceedings of the Korea Information Processing Society Conference
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• 2019.10a
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• pp.414-417
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• 2019

스마트 스피커는 기존 서비스와 달리 음성으로 데이터를 수집할 뿐 아니라 수집한 데이터를 기반으로 처리한 정보를 스피커를 통해 발화하는, 즉 소리로 전달하는 특징을 가진다. 이러한 서비스 응답 구조는 스피커에서 음성을 통해 전달되는 정보에 사용자의 개인정보가 포함되어 발화될 수 있는 위험이 존재한다. 구글, 아마존의 스마트 스피커 초기 설정 시 동의 과정 분석을 통해 개인정보 발화 위험을 사용자가 명확히 인지하기 어렵다는 문제를 발견하였다. 이에 본 연구는 스마트 스피커 서비스의 사용자 동의 과정에서 사용자의 개인정보 발화 위험 인식 재고를 위한 UI/UX 개선방안으로 1) 개인정보 발화 위험성 약관 명시 및 별도 화면 제시, 2) 사용자의 자유로운 서비스 동의 허용, 3) 컨트롤러에게 전달되는 개인정보와 스피커를 통해 발화될 수 있는 개인정보를 구분하여 제시, 4) 개인정보 발화 위험에 대한 음성 고지 및 동의 과정 추가를 제안하였다.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.4
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• pp.9-14
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• 2024

This study developed a voice recognition chatbot system to address depression and loneliness among the elderly in an aging society. The system utilizes the Whisper model, GPT 2.5, and XTTS2 to provide high-performance voice recognition, natural language processing, and text-to-speech conversion. Users can express their emotions and states and receive appropriate responses, with voice recognition functionality using familiar voices for comfort and reassurance. The UX/UI design considers the cognitive responses, visual impairments, and physical limitations of the smart senior generation, using high contrast colors and readable fonts for enhanced usability. This research is expected to improve the quality of life for the elderly through voice-based interfaces.

• Smart Media Journal
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• v.11 no.10
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• pp.22-29
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• 2022

Voice interactions are particularly effective in applications targeting the digital underprivileged who are not proficient in the use of smart devices. However, applications based on open APIs are using voice signals only for short, fragmentary input and output due to the limitations of existing touchscreen-oriented UI and API provided. In this paper, we design a conversational voice interaction model for interactions between users and intelligent mobile/IoT applications and propose a keyword detection algorithm based on the edit distance. The proposed model and scheme were implemented in an Android environment, and the edit distance-based keyword detection algorithm showed a higher recognition rate than the existing algorithm for keywords that were incorrectly recognized through speech recognition.

• Journal of the Korea Convergence Society
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• v.12 no.11
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• pp.193-206
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• 2021

Artificial Intelligence (AI) has been inserted into people's lives through Intelligent Virtual Assistants (IVA), like Alexa. Moreover, intelligent systems have expanded to design studios. This research delves into designers' perspectives on developing AI-based practices and examines the challenges of adopting future intelligent design assistants. We surveyed UX/UI professionals in Brazil to understand how they use IVAs and AI design tools. We also explored a scenario featuring the use of Alexa Sensei, a hypothetical voice-controlled AI-based design assistant mixing Alexa and Adobe Sensei characteristics. The findings indicate respondents have had limited opportunities to work with AI, but they expect intelligent systems to improve the efficiency of the design process. Further, majority of the respondents predicted that they would be able to collaborate creatively with AI design systems. Although designers anticipated challenges in natural language interaction, those who already adopted IVAs were less resistant to the idea of working with Alexa Sensei as an AI design assistant.

• The Journal of the Korea Contents Association
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• v.17 no.2
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• pp.96-104
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• 2017

As new smart devices are evolved into the intelligent agent who can reflect user intention and use context, user experience design for easy and convenient usability becomes a core competitive edge. Under the assumption that human centered natural interaction is necessary for the optimal smart TV experience, this study explores the types of voice interaction which are peculiar to TV watching context. In order to build a model for the users to naturally interact with Smart TV, conversation patterns were collected by requesting key features of Smart TV to intelligent agent. Collected sentences were applied to CfA model and classified by responses to activate features. The classified conversation patterns were divided into feature activation and information search. This study has identified that CfC1 occurred when voice interaction between Smart TV and users was vague and CfC2 occurred when the requests were complex or conditional. In conclusion, Simple Request Type is the most efficient model and voice interaction is more appropriate to use to clarify users' vague requests.

• Proceedings of the Korea Information Processing Society Conference
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• 2023.05a
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• pp.771-772
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• 2023

복지 정보와 인터넷 사용에 대한 이해도가 낮은 고령층의 디지털 소외 문제를 해결하고자, 고령층 친화 UI/UX 및 음성 인식 기술 등의 기술을 활용한 <고령층의 디지털 소외 방지를 위한 ASR 기반 복지 정보 검색 모델>의 개발을 제안한다.

• Information and Communications Magazine
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• v.28 no.12
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• pp.42-49
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• 2011

최근 스마트폰의 급격한 보급과 음성 위주의 이동통신서비스가 무선 멀티미디어 콘텐츠를 중심으로 하는 데이터 위주의 서비스로 전환됨에 따라 ICT 환경은 과거의 어느때 보다 급격하게 변화하고 있다. 이러한 ICT 환경변화는 개방과 협력, 플랫폼 기반 동기화, 참여와 공유라는 키워드로 나타낼 수 있으며, 이에 따라 콘텐츠에서는 실감콘텐츠, 플랫폼에서는 웹기반 플랫폼, 네트워크에서는 혁신형 미래인터넷 및 트래픽 분산을 위한 단말 간 직접통신, 그리고 단말에서는 사용자 편의성을 위한 UI/UX 기술이 대두되고 있다. 본 고에서는 콘텐츠-플랫폼-네트워크-단말로 구성되는 ICT 가치사슬에 대해서 각 가치사슬별 환경변화에 따른 주요 기술 이슈에 대해 고찰한다. 특히 본 고에서는 개발자 입장에서의 구체적인 기술내용보다는 시장측면에서 요구되는 서비스 또는 기능중심으로 기술 특성을 살펴본다.

• Proceedings of the Korea Information Processing Society Conference
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• 2018.05a
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• pp.553-554
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• 2018

최근 AI, 음성인식, 빅데이터, IoT의 발달에 의해 홈 스마트 비서에 대한 관심이 증대되고 있다. 이에 맞추어 국내외 대기업들은 청각 중심의 다양한 스마트 비서 제품을 출시하였다. 따라서 본 논문에서는 기존의 단점을 보완한 스마트-홈 비서 시스템을 제안한다. 스마트-홈 비서 시스템은 전방 상황 및 사용자의 행동을 인식할 수 있게 하는 영상 처리부, 카메라에서 획득한 정보에 따라 상황에 맞추어 Pseudo-Hologram 콘텐츠를 재생하는 영상 표출부로 구성되어 있다. Pseudo-Hologram을 활용하여 표출함으로써 사용자 UI/UX에 실감성을 더한 시각적인 스마트-홈 비서 시스템을 구현하였다.

• Design Convergence Study
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• v.15 no.1
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• pp.135-150
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• 2016

Due to the development of communication technology and expansion of Intelligent Transport System (ITS), the car is changing from a simple mechanical device to second living space which has comprehensive convenience function and is evolved into the platform which is playing as an interface for this role. As the interface area to provide various information to the passenger is being expanded, the research importance about smart car based user experience is rising. This study has a research objective to propose the guidelines regarding the smart car user experience elements. In order to conduct this study, smart car user experience elements were defined as function, interaction, and surface and through the discussions of UX/UI experts, 8 representative techniques, 14 representative techniques, and 8 locations of the glass windows were specified for each element. Following, the smart car users' priorities of the experience elements, which were defined through targeting 100 drivers, were analyzed in the form of questionnaire survey. The analysis showed that the users' priorities in applying the main techniques were in the order of safety, distance, and sensibility. The priorities of the production method were in the order of voice recognition, touch, gesture, physical button, and eye tracking. Furthermore, regarding the glass window locations, users prioritized the front of the driver's seat to the back. According to the demographic analysis on gender, there were no significant differences except for two functions. Therefore this showed that the guidelines of male and female can be commonly applied. Through user requirement analysis about individual elements, this study provides the guides about the requirement in each element to be applied to commercialized product with priority.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.14 no.4
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• pp.157-163
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• 2014

User's sensitivity is recognized as a very important parameter for communication between company, government and personnel. Especially in many studies, researchers use voice tone, voice speed, facial expression, moving direction and speed of body, and gestures to recognize the sensitivity. Multiplex modality is more precise than single modality however it has limited recognition rate and overload of data processing according to multi-sensing also an excellent algorithm is needed to deduce the sensing value. That is as each modality has different concept and property, errors might be happened to convert the human sensibility to standard values. To deal with this matter, the sensibility expression modality is needed to be extracted using technologies like analyzing of relational network, understanding of context and digital filter from multiplex modality. In specific situation to recognize the sensibility if the priority modality and other surrounding modalities are processed to implicit values, a robust system can be composed in comparison to the consuming of computer resource. As a result of this paper, it is proposed how to assign the weight of multiplex modality using implicit data.