# Human-Computer Interaction Research The human-computer interaction research group at NAVER AI Lab is a vibrant research group demonstrating how contemporary AI technologies can be beautifully embedded in computing systems, and understanding how we should design AI technologies to benefit end-users. Our research interests included but not limited to: * AI-infused interactive systems * Digital health and well-being applications * Accessibility and safety of AI * Large Language Model-driven computing systems and empathetic agents ## Call For Open-Rank Research Scientists We invite applications for self-motivated research scientists in the field of HCI. **Location:** In-person, NAVER main office at Seongnam, Gyeonggi, South Korea ### We expect you to do the following: * Execute academic research agendas at the intersection of HCI and AI. * Actively collaborate with other researchers at NAVER AI LAB to demonstrate the capabilities of AI technologies in designing novel HCI systems. * Lead a wide range of research activities including but not limited to interactive prototyping, user studies, surveys, design sprint, literature review, and deployment study. * Disseminate research outcomes at top-tier academic venues such as conferences and journals. ### Working Environment: * You can pursue your research visions in a bottom-up research environment where you can propose a research agenda and organize the team on your own. * You can collaborate with other researchers at other teams at NAVER or other academic institutes. * We provide various forms of collaboration, including research internship. * You will have opportunities to collaborate with product teams at NAVER, which develop numerous kinds of in-the-wild services on various platforms such as web, mobile, desktop, and smart speakers. ## Minimum Qualifications * Holds a PhD degree (or expected to receive within 3 months) in HCI-related disciplines such as Computer Science, Information Science, and Industrial Design * **3 primary-authored (1st or corresponding) main track full papers at \[CHI, UIST, CSCW, or IMWUT]** within the last *6 year*s, **at least 2 of them at CHI.** * Expertise in technical prototyping of interactive computing artifacts * Expertise in the quantitative and qualitative HCI research methods * Proficient verbal and written communication in English ## Preferred Qualifications * Being knowledgeable in Machine Learning, Computer Vision, or NLP technologies to streamline the collaboration with AI researchers * Having rich experience in designing and developing AI-infused interactive systems
*** ## Selected Publications (2023-) NAVER AI Lab employees (full-time and interns) are distinguished by being displayed in bold text. ### 2024 **ChaCha: Leveraging Large Language Models to Prompt Children to Share Their Emotions about Personal Events**\ **Woosuk Seo**, Chanmo Yang,and **Young-Ho Kim** \ ACM CHI 2024 ([PDF](http://younghokim.net/files/papers/chacha-chi24-preprint-240219.pdf)) **MindfulDiary: Harnessing Large Language Model to Support Psychiatric Patients' Journaling**\ **Taewan Kim**, Seolyeong Bae, Hyun Ah Kim, Su-woo Lee, Hwajung Hong, Chanmo Yang\*, and **Young-Ho Kim**\*(\*co-corresponding)\ ACM CHI 2024 ([PDF](http://younghokim.net/files/papers/kim_mindfuldiary_chi24_preprint_240222.pdf)) **Understanding the Impact of Long-Term Memory on Self-Disclosure with Large Language Model-Driven Chatbots for Public Health Intervention**\ **Eunkyung Jo**, Yuin Jeong, SoHyun Park, Daniel A. Epstein, and **Young-Ho Kim**\ ACM CHI 2024 ([PDF](http://younghokim.net/files/papers/carecall-ltm-chi24-preprint-240216.pdf)) **DiaryMate: Understanding User Perceptions and Experience in Human-AI Collaboration for Personal Journaling**\ **Taewan Kim**, Donghoon Shin, **Young-Ho Kim**, and Hwajung Hong\ ACM CHI 2024 ([PDF](http://younghokim.net/files/papers/diarymate-chi24.pdf)) **GenQuery: Supporting Expressive Visual Search with Generative Models**\ Kihoon Son, DaEun Choi, Tae Soo Kim, **Young-Ho Kim**, and Juho Kim\ ACM CHI 2024 ([PDF](http://younghokim.net/files/papers/genquery-chi24.pdf)) **EvalLM: Interactive Evaluation of Large Language Model Prompts on User-Defined Criteria**\ Tae Soo Kim, Yoonjoo Lee, **Jamin Shin**, **Young-Ho Kim**, and Juho Kim\ ACM CHI 2024 ([PDF](http://younghokim.net/files/papers/evallm-chi24.pdf)) Leveraging Large Language Models to Power Chatbots for Collecting User Self-Reported Data\ **Jing Wei**, **Sungdong Kim**, Hyunhoon Jung, and **Young-Ho Kim**\ PACM HCI (CSCW 2024) ### 2023 **The Bot on Speaking Terms: The Effects of Conversation Architecture on Perceptions of Conversational Agents**\ Christina Wei, **Young-Ho Kim**, and Anastasia Kuzminykh\ ACM CUI 2023 ([PDF](http://younghokim.net/files/papers/bot-on-speaking-terms-wei-cui-2023.pdf)) **Designing a Direct Feedback Loop between Humans and Convolutional Neural Networks through Local Explanations**\ Tong Sun, Yuyang Gao, Shubham Khaladkar, Sijia Liu, Liang Zhao, **Young-Ho Kim,** and Sungsoo Ray Hong\ PACM HCI (CSCW 2023) ([PDF](http://younghokim.net/files/papers/deepfuse_sun_cscw2023.pdf)) \[CHI Best Paper Award]\ **Understanding the Benefits and Challenges of Deploying Conversational AI Leveraging Large Language Models for Public Health Intervention**\ **Eunkyung Jo**, Daniel A. Epstein, Hyunhoon Jung, and **Young-Ho Kim**\ ACM CHI 2023 ([PDF](http://younghokim.net/files/papers/jo-carecall-chi2023.pdf)) **AVscript: Accessible Video Editing with Audio-Visual Scripts**\ Mina Huh, Saelyne Yang, Yi-Hao Peng, Xiang 'Anthony' Chen, **Young-Ho Kim**, and Amy Pavel\ ACM CHI 2023 ([PDF](http://younghokim.net/files/papers/huh-avscript-chi2023.pdf)) **DataHalo: A Customizable Notification Visualization System for Personalized and Longitudinal Interactions** \ Guhyun Han, Jaehun Jung, **Young-Ho Kim**\*, and Jinwook Seo\* (\*co-corresponding)\ ACM CHI 2023 ([PDF](http://younghokim.net/files/papers/han-datahalo-chi2023.pdf)) **DAPIE: Interactive Step-by-Step Explanatory Dialogues to Answer Children’s Why and How Questions**\ Yoonjoo Lee, Tae Soo Kim, **Sungdong Kim**, Yohan Yun, Juho Kim\ ACM CHI 2023