• 패션비즈니스
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• 제27권4호
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• pp.141-162
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• 2023

With the prospect that integrating creative AI in the fashion design field will become more visible, this study considered the case of creative fashion design development through Human-AI Co-creation (HAIC). Methodologically, this research encompasses a literature review and empirical investigations. In the literature review, the fashion design and creative HAIC processes, and the possibilities of integrating AI in fashion design were considered. In the empirical study, based on the case analysis of generating fashion design through HAIC, the HAIC type according to the role and interaction method, and characteristics of humans and AI was considered, and the HAIC process for fashion design was derived. The results of this study are summarized as follows. First, HAIC types in fashion design are divided into four types: AI-driven passive HAIC, human-driven passive HAIC, flexible interaction-based HAIC, and integrated interaction-based value creation HAIC. Second, the stages of the HAIC process for creative fashion design can be broadly divided into semantic data integration, visual ideation, design creation and expansion, design presentation, and design/manufacturing solution and UX platform creation. Third, in fashion design, HAIC contributes to human ability, enhancement of creativity, achievement of efficient workflow, and creation of new values. This research suggests that HAIC has the potential to revolutionize the fashion design industry by facilitating collaboration between humans and AI; consequently, enhancing creativity, and improving the efficiency of the design process. It also offers a framework for understanding the different types of HAIC and the stages involved in the creative fashion design process.

• 한국콘텐츠학회논문지
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• 제21권5호
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• pp.70-83
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• 2021

인간과 인공지능 로봇과의 관계를 예견하는 쟁점은 강한 인공지능 문제로 많은 전문가들은 인간보다 뛰어난 사고능력을 가진 강한 인공지능이 인간을 정복하는 비극적 결말을 예측하고 있다. 동시에 인공지능 로봇에 대해서 가지고 있는 기대가 드라마나 SF영화와 같은 미디어에 투영하여 나타나게 되면서 인간의 기대에 부응하는 '도덕적으로 선한 인공지능'에 대한 문제 또한 중요한 쟁점이다. 그러나 선한 인공지능에 대한 요구와 완벽한 기술의 구현은 그 문제가 기계에만 국한되지 않고 오히려 인간에게 모든 책임을 지우는 결과로 나타나 인간을 비도덕적인 존재로 몰아가고 인간과 인간의 문제로 전환되어 더 많은 소외와 차별을 낳을 수 있다. 이처럼 기술이 가져오는 결과는 사용하는 인간과 상호작용하며 반응에 따라 그 속성이 결정되고 발전하면서 인간에게 영향을 미친다. 따라서 상호작용을 고려하여 인간의 정서를 고려하는 인공지능 기술도 중요하다. 본 연구는 인간과 인공지능의 관계가 '선한 인공지능'에 대한 요구로 귀결되는 과정과 성공적인 상호작용 과정을 밝히기 위해 이론적으로는 랜달 콜린스의 정서적 에너지로 인간 유대의 형성을 설명하는 상호작용 의례 이론을 통해 설명한다. 방법론으로는 사고실험의 한 유형으로서 드라마 <굿 플레이스>의 재닛과 주변 등장인물들을 통해 선한 인공지능 로봇에 대한 기대가 발생되고 지향되는 지점을 밝히고자 한다.

• 한국컴퓨터정보학회논문지
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• 제29권3호
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• pp.21-41
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• 2024

본 연구는 OpenAI가 개발한 고급 언어 모델인 ChatGPT (Chat Generative Pre-trained Transformer)와 사용자의 애착 유형 간의 관계를 탐구한다. 인공지능(AI)이 점차 일상생활에 통합되면서, 다양한 애착 유형을 가진 개인들이 AI 챗봇과 상호 작용하는 방식을 이해하는 것은 특정 사용자 요구를 충족하고 사용자와 가장 이상적인 방식으로 상호 작용하는 더 나은 사용자 경험을 구축하기 위해 중요하다. 심리학의 애착 이론을 기반으로 한 이 연구에서는 애착 유형이 ChatGPT와 상호 작용에 미치는 영향을 탐구하여 인간과 AI 간의 상호 작용에 대한 이해에서 중요한 공백을 메우고 있다. 예상과는 달리, 애착 유형은 ChatGPT 사용에 유의미한 영향을 미치지 않았다. 애착 유형에 관계없이 중요한 정보를 전달하는 ChatGPT를 완전히 신뢰하는 것을 주저했으며, AI 시스템의 신뢰 문제를 해결해야 할 필요성을 강조한다. 단, 본 연구는 사용자와 ChatGPT 간 독특한 상호 작용에 중점을 두어, 애착 유형이 이러한 상호 작용에 미치는 영향을 해명하여 AI 챗봇의 개인화된 사용자 경험을 개발하는 데에 도움이 되고자 한다. 또, 본 연구는 Perceived Partner Responsiveness Scale의 도입은 사용자가 ChatGPT의 역할에 대한 인식을 평가하는 유용한 도구로 기능하며, AI의 인격화에 대한 관점을 제시한다. 본 연구는 인간과 AI 간의 관계에 대한 넓은 토론에 기여하며, 사용자 중심의 미래를 위해 AI 시스템에 감정 지능을 통합하는 중요성을 강조한다.

• 한국정보과학회:학술대회논문집
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• 한국정보과학회 2010년도 한국컴퓨터종합학술대회논문집 Vol.37 No.1(B)
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• pp.43-46
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• 2010

지능형 로봇의 인간-로봇 상호작용(Human-Robot Interaction)은 현재 세계적으로 주목받는 연구 분야 중 하나이다. 이 논문에서는 지능형 로봇의 작업 완결성을 높이기 위한 방편의 일환으로 사용자에게 작업 내용을 공개하고, 문제 발생 시 사용자의 개입을 유도하는 형태의 인간-로봇 상호작용을 제안한다. 이러한 형태의 서비스는 지능형 로봇이 작업 수행 중 필요한 경우 사용자의 선택 통해 예상치 못한 상황에 대해 유연한 대처를 할 수 있으며, 동시에 로봇의 현재 상황을 사용자가 확인할 수 있도록 하는 수단을 제공한다. 이를 위해 이 논문은 Android 플랫폼과 로봇 간의 로봇-사용자 정보교환을 구현하고, 나아가 범용적이고 일반적인 인간-로봇 상호작용을 위한 연구방향을 제시하고자 한다.

• 인터넷정보학회논문지
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• 제23권1호
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• pp.69-76
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• 2022

Education systems have made efforts to prepare students by providing technical and nontechnical courses. With video games, however, there is the potential to develop dedicated metaverses that can help teach soft skills even during casual pastimes. The research conducted will propose a set of design practices for metaverse and game development to promote soft skills. While there are many soft skills people can acquire, this paper will focus on certain aspects based on specific games and studies. There will be some information collected from the information to support the design model and arguments. This paper will provide developers with a starting point for imaginative game creation and impart users with soft skills to assist in their professions and social life.

• 유통과학연구
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• 제22권2호
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• pp.103-113
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• 2024

Purpose: With the popularity of artificial intelligence (AI) in the service industry and occurrence ofservice failures in AI-based services, understanding human-robot interaction issues in service failure situations is especially important. Some issues which deserve further empirical investigation are whether consumers can develop the same tolerance for chatbots after service failure as they have for human agents, and the relationship between agent type and tolerance is mediated by the mechanisms of perceived warmth and perceived competence. Research Design, Data, and Methodology: This research experimentally collected and analyzed data from 119 university students who had experienced chatbots service failures. Differences in tolerance towards human agents and chatbots after experiencing service failures were explored, with a further examination of the mediating pathways between this relationship via perceived warmth and perceived competence. Results: Consumers are more tolerant ofservice failure with chatbots compared to service failure with human agents. Significant mediation of the relationship between service agent and service failure tolerance by perceived competence, while perceived warmth has no significant mediating effect. Conclusions: This research enhances our understanding of AI-assisted services, human-computer interaction, improves the service functionality of existing smart devices, and deepens the understanding of the relationship between consumer responses and behaviors.

• Journal of Smart Tourism
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• 제1권4호
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• pp.9-18
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• 2021

The impacts that AI and robotics systems can and will have on our everyday lives are already making themselves manifest. However, there is a lack of research on the ethical impacts and means for amelioration regarding AI and robotics within tourism and hospitality. Given the importance of designing technologies that cross national boundaries, and given that the tourism and hospitality industry is fundamentally predicated on multicultural interactions, this is an area of research and application that requires particular attention. Specifically, tourism and hospitality have a range of context-unique stakeholders that need to be accounted for in the salient design of AI systems is to be achieved. This paper adopts a stakeholder approach to develop the conceptual framework to centralize human values in designing and deploying AI and robotics systems in tourism and hospitality. The conceptual framework includes several layers - 'Human-human-AI' interaction level, direct and indirect stakeholders, and the macroenvironment. The ethical issues on each layer are outlined as well as some possible solutions to them. Additionally, the paper develops a research agenda on the topic.

• 한국IT서비스학회지
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• 제20권5호
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• pp.189-207
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• 2021

Voice interaction combined with artificial intelligence is poised to revolutionize human-computer interactions with the advent of virtual assistants. This paper is analyzing interactive elements of AI-based voice recognition services such as sympathy, assurance, intimacy, and trust on intention to use. The questionnaire was carried out for 284 smartphone/smart TV users in Korea. The collected data was analyzed by structural equation model analysis and bootstrapping. The key results are as follows. First, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy, and trust have positive effects on interactivity with the AI-based voice recognition service. Second, the interactivity with the AI-based voice recognition service has positive effects on intention to use. Third, AI-based voice recognition service characteristics such as interactional enjoyment and intimacy have directly positive effects on intention to use. Fourth, AI-based voice recognition service characteristics such as sympathy, assurance, intimacy and trust have indirectly positive effects on intention to use the AI-based voice recognition service by mediating the effect of the interactivity with the AI-based voice recognition service. It is meaningful to investigate factors affecting the interactivity and intention to use voice recognition assistants. It has practical and academic implications.

• 한국산업융합학회 논문집
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• 제27권2_2호
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• pp.319-324
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• 2024

In this paper, the Artificial Intelligence Space(AI-Space) for human-robot interface is presented, which can enable human-computer interfacing, networked camera conferencing, industrial monitoring, service and training applications. We present a method for representing, tracking, and objects(human, robot, chair) following by fusing distributed multiple vision systems in AI-Space. The article presents the integration of color distributions into particle filtering. Particle filters provide a robust tracking framework under ambiguous conditions. We propose to track the moving objects(human, robot, chair) by generating hypotheses not in the image plane but on the top-view reconstruction of the scene.

• 감성과학
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• 제25권3호
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• pp.107-116
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• 2022

Purpose: Researchers have shown that aesthetic judgments of artworks depend on contexts, such as the authenticity of an artwork (Newman & Bloom, 2011) and an artwork's location of display (Kirk et al., 2009; Silveira et al., 2015). The present study aims to examine whether contextual information related to the creator, such as whether an artwork was created by a human or artificial intelligence (AI), influences viewers' preference judgments of an artwork. Methods: Images of Impressionist landscape paintings were selected as human-made artworks. AI-made artwork stimuli were created using Google's Deep Dream Generator by mimicking the Impressionist style via deep learning algorithms. Participants performed a preference rating task on each of the 108 artwork stimuli accompanied by one of the two creator labels. After this task, an art experience questionnaire (AEQ) was given to participants to examine whether individual differences in art experience influence their preference judgments. Results: Setting AEQ scores as a covariate in a two-way ANCOVA analysis, the stimuli with the human-made context were preferred over the stimuli with the AI-made context. Regarding the types of stimuli, the viewers preferred AI-made stimuli to human-made stimuli. There was no interaction effect between the two factors. Conclusion: These results suggest that preferences for visual artworks are influenced by the contextual information of the creator when the individual differences in art experience are controlled.