가상 인간에 대한 우리들이 원하는 모습: Q방법론을 기반으로 한 연령대에 따른 소비자 기대 가치 분류

윤지찬 ( Ji-chan Yun ),박도형 ( Do-hyung Park ) 한국지식경영학회 2023 지식경영연구 Vol.24 No.2

본 연구는 최근 많은 기업에서 마케팅을 목적으로 활용하는 가상 인플루언서에 대한 소비자들의 인식에 대해 집중 조명하고 있다. 다양한 외모와 배경 스토리, 세계관 등을 구성요소로 가지고 활동하는 가상 인플루언서에 대해 소비자들은 어떤 인식을 가지고 있는지 Q방법론을 활용하여 도출하는 것을 목적으로 한다. 또한, 연령대별로 가상 인플루언서에 대한 기대 가치가 어떻게 다른지 확인하고자 한다. 이를 위해 사전 인터뷰와 문헌 검토를 통해 34개의 진술문을 제작했다. 연구 결과, 20대 소비자는 가상 인플루언서에 대해 ‘분야의 전문가인 가상 인플루언서,’ ‘실존 인물 같은 가상 인플루언서,’ ‘가짜는 가짜다운 가상 인플루언서,’ ‘친근하게 소통하는 가상 인플루언서’와 같은 4가지 유형의 모습을 기대했다. 반면에 30대 소비자는 ‘신뢰할 수 있는 가상 인플루언서,’ ‘모르고 보면 실제 인플루언서,’ ‘트렌드에 민감한 소통 중심가상 인플루언서,’ ‘광고 모델 가상 인플루언서’와 같은 4가지 유형의 모습을 기대했다. 이러한 연구 결과는 소비자들이 가상 인플루언서에 대해 가상의 인물이라는 것을 인지하고 있음에도 불구하고 외형적으로도 인간과 유사하기를 선호하는 소비자와 가상성을 유지하여 가상의 인물로 느껴지는 것을 선호하는 소비자가 모두 존재한다는 것을 의미한다. 추가로, 소비자들은 가상 인플루언서가 다루는 콘텐츠 분야에 대해서 일관성 있고 전문성을 가지기를 기대하며, 지나치게 상업적인 모습을 보여주는 것을 선호하지 않는 소비자도 존재함을 알 수 있다. 본 연구를 통해 가상 인플루언서를 활용하고자 하는 기업에게 마케팅 활동에 있어서 타겟 고객들을 대상으로 어떤 가상 인플루언서를 활용해야 하는지 고려하는 과정에서 시사점을 제공하기를 기대한다. This study focuses on consumers' perceptions of virtual influencers, which many companies recently used for marketing. This study uses the Q methodology to derive what kind of perception consumers have about virtual influencers who work with various appearances, background stories, and worldviews as components. In addition, we want to see how the expected value of virtual influencers differs by age group. To this end, 34 statements were produced through preliminary interviews and literature reviews. This study showed that some consumers preferred appearances similar to humans, despite recognizing that virtual influencers are fictional characters. Some other consumers preferred to feel like a fictional character by maintaining virtuality, confirming that there are both opposite consumers. In addition, consumers expect virtual influencers to have consistency and expertise in the content field covered, and some consumers do not prefer to show an overly commercial appearance. This study will likely provide implications for companies that want to utilize virtual influencers in considering which ones to use for target customers in marketing activities.

A Study on Consumer Emotion for Social Robot Appearance Design: Focusing on Multidimensional Scaling (MDS) and Cluster Analysis

유성훈,윤지찬,이준식,박도형 한국지능정보시스템학회 2023 지능정보연구 Vol.29 No.1

In order for social robots to take root in human life, it is important to consider the technical implementation of social robots and human psychology toward social robots. This study aimed to derive potential social robot clusters based on the emotions consumers feel about social robot appearance design, and to identify and compare important design characteristics and emotional differences of each cluster. In our study, we established a social robot emotion framework to measure and evaluate the emotions consumers feel about social robots, and evaluated the emotions of social robot designs based on the semantic differential method, an kansei engineering approach. We classified 30 social robots into 4 clusters by conducting a multidimensional scaling method and K-means cluster analysis based on the emotion evaluation results, confirmed the characteristics of design elements for each cluster, and conducted a comparative analysis on consumer emotions. We proposed a strategic direction for successful social robot design and development from a human-centered perspective based on the design characteristics and emotional differences derived for each cluster.

생성형 인공지능 초기 단계의 사용자경험(UX):Q-방법론을 통해 살펴본 30-40대 직장인의 편의와 우려

이은주,윤지찬,이준식,박도형 한국정보시스템학회 2024 情報시스템硏究 Vol.33 No.1

Purpose The purpose of this study is to examine the customer experience of generative AI among office workers aged 30 to 40, investigating usability, usefulness, and affect, and understanding concerns and expectations. Design/Methodology/Approach This research used Q methodology to assess the customer experience of generative AI. Users are engaged in a problem-solving journey, and data is collected by having participants rank 36 statements based on usability, usefulness, and affect, referred to as the three goals of User Experience. Participants use a forced distribution table with a scale from -5 to +5 to indicate the subjective importance of each statement. The results identified four groups, reflecting different perspectives and attitudes toward generative AI. Findings Participants express overall comfort with generative AI, perceive AI as more knowledgeable in unfamiliar domains, but harbor doubts about AI's understanding. Disagreements emerge on AI replacing humans, the value of unique human roles, data confidentiality, fears of AI advancement, and emotional impacts. Identified four groups: Users who treat AI as a soulless assistant and are active in business use, Uncle users who want to use new technologies properly and are not afraid of technology, users who recognize the limits of AI despite its efficiency, and users who require strong verification in the future. It has the potential to guide future guidelines, ethical codes, and regulations for the appropriate use of AI. In addition, this approach lays the groundwork for future empirical analyses of generative AI.

AI6061-T6의 마이크로 밀링에서 미세버 상태감시

이두희,윤지찬,구준영,김정석,정융호 한국생산제조학회 2019 한국생산제조학회지 Vol.28 No.6

In micro-scale milling, many machining problems are caused by micro-burrs that occur during micro-machining processing. Unlike conventional machining, the production efficiency of micro-machining decreases due to increases in process time and costs due to deburring processes. Micro-burrs are not easy to remove, so it is necessary to suppress their generation by machining condition monitoring. The purpose of this study is to analyze the change of micro-burr size according to the machining conditions in micro-milling process. The wavelet transform technique was used to investigate the correlation between the micro-burr characteristics and the processed signals of cutting force and acoustic emissions; thus, effective burr condition monitoring in micro-milling is proposed.

생성형 인공지능 초기 단계의 사용자경험(UX) : Q-방법론을 통해 살펴본 30-40대 직장인의 편의와 우려

이은주,윤지찬,이준식,박도형 한국경영정보학회 2023 한국경영정보학회 학술대회논문집 Vol.2023 No.06

Exploring Mask Appeal: Vertical vs. Horizontal Fold Flat Masks Using Eye-Tracking

이준식,정난희,윤지찬,박도형,박세범 한국지능정보시스템학회 2023 지능정보연구 Vol.29 No.4

The global COVID-19 pandemic has transformed face masks from situational accessories to indispensable items in daily life, prompting a shift in public perception and behavior. While the relaxation of mandatory mask-wearing regulations is underway, a significant number of individuals continue to embrace face masks, turning them into a form of personal expression and identity. This phenomenon has given rise to the Fashion Mask industry, characterized by unique designs and colors, experiencing rapid growth in the market. However, existing research on masks is predominantly focused on their efficacy in preventing infection or exploring attitudes during the pandemic, leaving a gap in understanding consumer preferences for mask design. We address this gap by investigating consumer perceptions and preferences for two prevalent mask designs―horizontal fold flat masks and vertical fold flat masks. Through a comprehensive approach involving surveys and eye-tracking experiments, we aim to unravel the subtle differences in how consumers perceive these designs. Our research questions focus on determining which design is more appealing and exploring the reasons behind any observed differences. The study’s findings reveal a clear preference for vertical fold flat masks, which are not only preferred but also perceived as unique, sophisticated, three-dimensional, and lively. The eye-tracking analysis provides insights into the visual attention patterns associated with mask designs, highlighting the pivotal role of the fold line in influencing these patterns. This research contributes to the evolving understanding of masks as a fashion statement and provides valuable insights for manufacturers and marketers in the Fashion Mask industry. The results have implications beyond the pandemic, emphasizing the importance of design elements in sustaining consumer interest in face masks.

소셜 로봇 외형 디자인에 대한 소비자 감성에 관한 연구: 다차원 척도법(MDS)과 군집분석을 중심으로

유성훈(Seong-Hun Yu),윤지찬(Ji-Chan Yun),이준식(Junsik Lee),박도형(Do-Hyung Park) 한국HCI학회 2023 한국HCI학회 학술대회 Vol.2023 No.2

소셜 로봇이 인간의 일상생활에 자리매김하기 위해서는 소셜 로봇의 기술적 구현과 소셜 로봇을 바라보는 인간의 심리를 함께 고려하는 것이 중요하다. 본 연구는 소셜 로봇의 외형 디자인에 대해 소비자가 느끼는 감성에 기반하여 잠재적인 소셜 로봇 군집을 도출하고, 각 군집이 갖는 중요한 디자인적 특징 및 감성 차이를 식별 및 비교하고자 하였다. 소셜 로봇에 대해 소비자가 느끼는 감성을 측정 및 평가하기 위한 소셜 로봇 감성 프레임워크를 구축하고, 감성공학적 접근방법인 의미분별 척도법에 기반해 소셜 로봇 디자인 감성을 평가하였다. 감성 평가 결과를 토대로 다차원 척도법과 K-means 군집분석을 실시하여 30개의 소셜 로봇을 4개의 군집으로 분류하였으며, 각 군집 별 디자인 요소의 특징을 확인하고, 소비자 감성을 비교 분석하였다. 각 군집 별로 도출된 디자인적 특징 및 감성 차이를 바탕으로 인간중심적 관점에서 성공적인 소셜 로봇 디자인 및 개발을 위한 전략적 방향을 제언하였다.

CFRP 마이크로 드릴가공에서 다중신호를 이용한 드릴 상태감시

이두희(Doo-Hee Lee),윤지찬(Ji-Chan Yoon),이종환(Jong-Hwan Lee),김정석(Jeong-Suk Kim) 한국생산제조학회 2018 한국생산제조학회지 Vol.27 No.5

The machinability of carbon fiber reinforced plastic (CFRP) is very poor because of its properties that make it difficult-to-machine, and machining trouble is often observed during microdrilling owing to easy drill wear and fracture. Therefore, it is important to effectively monitor the drill tool state in microdrilling operations. Cutting force and acoustic emission (AE) signals are often used to monitor tool states during limited cutting conditions. Using the cutting force and AE signals simultaneously is suggested in this investigation to increase the effectiveness of monitoring tool states in microdrilling. The relationship between tool wear propagation and these signal characteristics are verified for various feed rates, and a good correlation is obtained from the signal processing results in the frequency domain. The power threshold level of simultaneous cutting force and AE signals in the frequency domain can be adopted to monitor microdrilling states of CFRP drilling.

롤러샤프트의 터닝가공에서 공구마모와 절삭신호 분석을 통한 최적 공구교체시점 도출

구준영(J. Y. Koo),윤지찬(J. C. Yoon) Korean Society for Precision Engineering 2023 한국정밀공학회 학술발표대회 논문집 Vol.2023 No.5

알루미늄 합금(Al6061-T6)의 마이크로밀링가공에서 버 발생과 신호 특성의 상관관계 분석

김현중(Hyun-Jung Kim),구준영(Joon-Young Koo),윤지찬(Ji-Chan Yoon),이종환(Jong-Hwan Lee),김정석(Jeong-Suk Kim) 한국생산제조학회 2016 한국생산제조학회지 Vol.25 No.6

The formation of micro-burrs in micro-milling processes causes several problems related to productivity and surface integrity. It should be minimized and suppressed by effective monitoring of the cutting conditions. This paper presents the correlation between the micro-burr length and cutting signals in the micro-milling process of an Al alloy (Al6061-T6). The acoustic emission (AE) signals and cutting force signals are acquired during the experiments. The characteristics of the cutting signals are obtained by analyzing the AE root mean square value and resultant cutting force. In addition, the micro-burr length is measured according to the cutting conditions by analyzing a scanning electron microscopy image of the machined surface. The results of this study can be used to enhance the surface quality of micro parts.