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³í¹®¸í ÀÎÅ׸®¾î Æк긯 µðÀÚÀÎ ÄÁ¼³ÆÃÀ» À§ÇÑ »ç¿ëÀÚ Áß½ÉÇü ´ëÈ­Çü AI Ç÷οìÂ÷Æ® °³¹ß / A Study on User-Centered Conversational AI Flowchart Development for Interior Fabric Design Consulting
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¼ö·Ï»çÇ× Çѱ¹°ø°£µðÀÚÀÎÇÐȸ ³í¹®Áý, Vol.18 No.08 (2023-12)
ÆäÀÌÁö ½ÃÀÛÆäÀÌÁö(855) ÃÑÆäÀÌÁö(8)
ISSN 1976-4405
ÁÖÁ¦ºÐ·ù °èȹ¹×¼³°è / µµ½Ã
ÁÖÁ¦¾î ´ëÈ­Çü 꺿 ¼­ºñ½º; »ç¿ëÀÚ °æÇè; ÀÎÅ׸®¾î Æк긯 ÄÁ¼³ÆÃ; 꺿 ½Ã³ª¸®¿À; ¼­ºñ½º Ç÷οìÂ÷Æ® ; Conversational Chatbot Service; UX; Interior Design Consulting; Chatbot Scenario; Service FlowChart
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¿ä¾à2 (Background and Research) Within the realm of home furnishing, the traditional approach to design consulting in the interior fabric sector, marked by significant spatial correlation, relies on face-to-face interactions. However, the landscape is rapidly transforming owing to the proliferation of personalized conversational artificial intelligence (AI) services and the discernible shift in trends related to interior consumption diversification, particularly in the aftermath of the pandemic. This shift has led to a notable increase in the demand for online services. This study aims to respond to these emerging needs by investigating the potential implementation of a conversational AI chatbot for design consulting in the interior fabric sector, emphasizing the provision of tailored services based on user types. The primary objectives encompass the development of service scenarios and the design of flowcharts for interactive AI chatbots. (Method) A dual approach involving literature review and user experience research methodologies was employed. Thirty-two consultants were interviewed to elicit valuable insights into consulting services, and surveys were administered to service users to comprehensively analyze and categorize their preferences. (Results) Through the meticulous alignment of consultant and user types with the intricacies of the consulting process, three distinct user scenarios for chatbot service design were derived. Subsequently, based on these scenarios, Interactive AI chatbot scenario IA flowcharts were developed to illustrate dynamic interactions and decision points within the chatbot service. (Conclusion) Based on the consultant¡¯s career level and the user¡¯s purchasing tendency, consultants were divided into beginner, intermediate, and leader levels, whereas users were divided into leader, cooperative, and indecision types; thus, six personas were developed. This study, cognizant of the evolving landscape in the online transformation of interior fabric consulting, introduces a service model that integrates conversational AI chatbot services with established design consulting practices. This model aims to provide personalized services that cater to the individual needs of users. Moreover, this study delves into the potential limitations that may arise in the online transition of interior consulting services. It also suggests possibilities for the convergence of online and offline services, considering the unique spatial characteristics inherent in the field of interior design. Consequently, this study not only contributes to meeting the current demands of users but also anticipates future trends at the intersection of technology and design consulting within the interior design domain. The proposed model underscores the adaptability and integration of AI technologies in addressing the evolving needs of users in the home furnishing and interior design sectors.
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DOI https://doi.org/10.35216/kisd.2023.18.8.855