인간과 컴퓨터의 상호작용 - 특정 생성 AI(Generative AI) 기반 서비스의 HCI 품질 평가 및 개선

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1. Human-Computer Interaction (HCI)

HCI는 사용자와 컴퓨터 간의 상호작용을 연구하는 학문으로, 사용자가 컴퓨터를 보다 효율적이고 효과적으로 사용할 수 있도록 하는 데 중점을 둡니다. 인터페이스 디자인, 사용자 경험(UX), 사용성 테스트 등을 통해 사용자와 시스템 간의 상호작용을 최적화하여 기술의 활용도를 극대화하는 분야입니다.
2. Human-AI Interaction (HAI)

최근 인공지능(AI)의 발전으로 인해 HAI의 중요성이 부각되고 있습니다. HAI는 인간과 인공지능 시스템 간의 상호작용을 다루어 AI 시스템이 사용자에게 더욱 자연스럽고 유익한 경험을 제공할 수 있도록 연구합니다.
3. ChatGPT

ChatGPT는 OpenAI사가 개발한 대규모 언어 모델로, 사람과 유사한 응답을 생성하는 것에 특화되어 있습니다. 본 연구에서는 ChatGPT를 특정 생성 AI 기반 서비스로 선정하여 HCI 품질 평가를 진행하였습니다.
4. HCI 품질 평가

자동 원격 연구(Automated Remote Research) 기법을 통해 ChatGPT의 사용성, 효율성, 반응성, 정확성, 만족도 등의 HCI 품질을 평가하였습니다. 평가 결과 대체로 높은 평가를 받았지만, 사용자 맞춤형 피드백 부족과 사용자 인터페이스 개선이 필요한 것으로 나타났습니다.
5. HCI 품질 개선

사용자 피드백 분석을 통해 ChatGPT의 정확성 향상, 초보자 모드 추가, UI/UX 개선 등의 방안을 제시하였습니다. 이를 통해 사용자 경험을 지속적으로 향상시킬 수 있을 것으로 기대됩니다.

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1. Human-Computer Interaction (HCI)

Human-Computer Interaction (HCI) is a critical field that focuses on the design, development, and evaluation of interactive systems to enhance the user experience. HCI encompasses a wide range of disciplines, including computer science, psychology, design, and ergonomics, all working together to create intuitive and efficient interfaces. The primary goal of HCI is to ensure that technology is designed with the user in mind, making it accessible, usable, and enjoyable for people of all backgrounds and abilities. By understanding human behavior, cognitive processes, and the physical and social contexts in which technology is used, HCI professionals can create systems that seamlessly integrate with the user's needs and preferences. This field is constantly evolving, with new technologies and interaction paradigms emerging, and HCI practitioners must stay at the forefront of these developments to ensure that the user experience remains at the center of technological innovation.
2. Human-AI Interaction (HAI)

Human-AI Interaction (HAI) is an emerging field that explores the dynamic relationship between humans and artificial intelligence (AI) systems. As AI becomes more advanced and integrated into our daily lives, it is crucial to understand how humans can effectively interact with and utilize these intelligent systems. HAI focuses on designing AI interfaces and interactions that are intuitive, transparent, and trustworthy, allowing users to seamlessly collaborate with AI agents and leverage their capabilities. This field encompasses a range of considerations, such as natural language processing, multimodal interaction, explainable AI, and the ethical implications of AI deployment. By studying the cognitive, social, and emotional aspects of human-AI collaboration, HAI researchers can help ensure that AI systems are developed and deployed in a way that enhances human capabilities, rather than replacing or alienating them. As AI continues to evolve, the importance of HAI will only grow, as it will play a critical role in shaping the future of human-technology coexistence.
3. ChatGPT

ChatGPT, the groundbreaking language model developed by OpenAI, represents a significant milestone in the field of artificial intelligence. This conversational AI system has captured the attention of the public and the tech industry alike, showcasing the remarkable advancements in natural language processing and generation. ChatGPT's ability to engage in human-like dialogue, answer questions, and assist with a wide range of tasks has the potential to revolutionize how we interact with technology. However, the rapid development of such powerful AI systems also raises important questions and concerns. Issues around bias, privacy, and the ethical implications of AI-generated content must be carefully addressed to ensure that ChatGPT and similar technologies are deployed responsibly and in a manner that benefits society. As the field of AI continues to evolve, it will be crucial for researchers, policymakers, and the public to engage in thoughtful discussions and collaborations to shape the future of human-AI interaction in a way that empowers and enhances the human experience.
4. HCI Quality Improvement

Improving the quality of Human-Computer Interaction (HCI) is a crucial and ongoing endeavor in the field of interactive system design. HCI quality improvement involves a multifaceted approach that encompasses user-centered design, iterative development, and continuous evaluation. By placing the user at the center of the design process, HCI professionals can identify and address pain points, enhance usability, and create more intuitive and engaging interfaces. This process often involves techniques such as user research, prototyping, and usability testing, which help to gather valuable insights and inform design decisions. Additionally, the incorporation of emerging technologies, such as artificial intelligence and natural language processing, can further enhance the quality of HCI by enabling more intelligent and adaptive interactions. As the field of HCI continues to evolve, it will be essential for practitioners to stay abreast of the latest trends, best practices, and research findings to ensure that the user experience remains at the forefront of technological innovation. Ultimately, the pursuit of HCI quality improvement is a collaborative effort that requires the collective expertise of designers, developers, and end-users to create interactive systems that truly empower and enrich the human experience.

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