Human-Centered Artificial Intelligence Lab

selected publications

1. IEEE Access

   Development of Korean Food Image Classification Model Using Public Food Image Dataset and Deep Learning Methods

   Minki Chun, Hyeonhak Jeong, Hyunmin Lee, Taewon Yoo, and Hyunggu Jung

   IEEE Access 2022

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   Food image classification is useful in diet management apps for personal health management. Various methods for classifying food images in a particular country have been proposed in multiple studies. However, knowledge of Korean food image classification is limited. The objective of this study was to train a classification model for Korean food images. To train the classification model, we collected Korean food images from the AI-Hub platform, a public food image dataset. The images were pre-processed and augmented for model training. The proposed model was evaluated in an experiment using a Korean food image dataset and effectively classified Korean food images based on transfer learning. The findings of the study revealed that the model’s performance in classifying food images depended on the type of food. The findings have implications for the classification model training process using CNN and the Korean public food image dataset. Future work is required to improve the performance of a classification model, especially as it pertains to its poor performance for some food image types.

2. CSCW

   Exploring the Community of Model Publishers on TensorFlow Hub

   Taewon Yoo, Minki Chun, Yunjung Bae, Soohyun Kwon, and Hyunggu Jung

   In Companion Publication of the 2022 Conference on Computer Supported Cooperative Work and Social Computing 2022

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   We explore the community of AI model publishers on TensorFlow Hub (TF Hub). While researchers identified the challenges AI model publishers and AI model users faced, little is known about how they interact with each other in an online community. The analysis of the metadata recorded on TF Hub revealed the models that the AI model publishers uploaded. Also, we found out how the models published by the AI model publishers were shared with other people on TF Hub. To our knowledge, this is the first attempt to explore the online community of AI model publishers sharing their models with each other.

3. KIISE

   Toward Fairness in Artificial Intelligence: Uncovering Food Delivery App Reviews with Poisoning Attacks

   Hyunmin Lee, Minki Chun, Hyeonhak Jeong, and Hyunggu Jung

   Communications of the Korean Institute of Information Scientists and Engineers 2022

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4. UAIS

   Exploring the Community of Older Adult Viewers on YouTube

   Jihyun Lee, Suin Gwak, Joonho Gwon, Jihyeon Park, Sowon Eom, Seoyoung Hong, Gahyun Ku, Wanhae Lee, and Hyunggu Jung

   Universal Access in the Information Society Sep 2022

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   We report on a study of how older adult viewers use YouTube. We conducted semi-structured interviews with 15 older adults residing in the Republic of Korea who had recently watched videos on YouTube to understand their experiences. We identified themes regarding their perceptions and behaviors when interacting with videos and other viewers on YouTube through an open coding method. The analysis of the identified themes reveals that older adults use YouTube as a tool for collecting information that addresses their challenges when gathering information from media. Although older adult viewers worried about fake news and possible monetary charges, they were eager to watch videos on YouTube because they believed this information to be unbiased compared with media sources. To the best of our knowledge, this is the first interview study to investigate the community of older adult viewers on a video-based social media platform.

5. ECSCW

   Toward an AI-assisted Assessment Tool to Support Online Art Therapy Practices: A Pilot Study

   Woosuk Seo, Joonyoung Jun, Minki Chun, Hyeonhak Jeong, Sungmin Na, Woohyun Cho, Saeri Kim, and Hyunggu Jung

   In Proceedings of 20th European Conference on Computer-Supported Cooperative Work Sep 2022

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   Artificial intelligence (AI) has been widely used to assist art therapists with artwork assessments by providing objective information. While prior studies showed that AI-assisted tools are feasible to improve drawing analysis in in-person art therapy practices, the use of those tools in online art therapy is still under-examined. To fill the gap, we created a prototype of an AI-assisted tool for online therapy in a House-Tree-Person (HTP) test scenario and ran lab-based usability sessions with 10 art therapists in which they used our proposed prototype to complete predefined tasks. We then conducted semi-structured interviews with the participants to understand their acceptance and concerns about the prototype. The findings revealed the unique needs of art therapists and opportunities of using AI-assisted tools to improve online art therapy practices. Based on these findings, we suggest implications for creating AI-assisted tools that meet specific needs of art therapists in online therapy sessions, and further discuss future directions of research about AI-assisted tools for art therapists in online settings.

6. UAIS

   Understanding Experiences of Older Adults in Virtual Reality Environments with a Subway Fire Disaster Scenario

   Subin Park, Hansu Lee, Minji Kwon, Heejae Jung, and Hyunggu Jung

   Universal Access in the Information Society Mar 2022

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   Training to cope with fire disaster situations utilizing virtual reality (VR) environments as educational materials is becoming universalized. It is widely accepted that VR enables young adult trainees to undergo tactical training in potential disaster situations. However, little is known whether older adults are satisfied with using such a technique for disaster response training. To address this insufficiency, we created a VR environment in a subway fire disaster scenario and conducted an experiment, wherein 13 young and 9 older adults were asked to explore the VR environment. We then conducted surveys and semi-structured interviews involving the participants to understand their experiences. The analysis of results revealed that compared to young adults, older adults tended to move greater distances, take longer times, felt less afraid and scared, and experienced less difficulty in manipulating the controller. Subsequently, we suggest design opportunities for creating VR environments for more effective training of older adults.

7. CSCW

   Exploring the Experiences of Student Volunteer and Student Volunteer Chair Communities at Academic Conferences

   Subin Park, Heejae Jung, Jae Won Choi, Jihyeon Park, Joonyoung Jun, Minki Chun, and Hyunggu Jung

   Proceedings of the ACM on Human-Computer Interaction Oct 2021

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8. CSCW

   Exploring the Experiences of Streamers with Visual Impairments

   Joonyoung Jun, Woosuk Seo, Jihyeon Park, Subin Park, and Hyunggu Jung

   Proceedings of the ACM on Human-Computer Interaction Oct 2021

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9. IJLTER

   Exploring University Instructors’ Challenges in Online Teaching and Design Opportunities during the COVID-19 Pandemic: A Systematic Review

   Sungmin Na, and Hyunggu Jung

   International Journal of Learning, Teaching and Educational Research Oct 2021

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10. IUI

    MonoPass: A Password Manager without Master Password Authentication

    Hyeonhak Jeong, and Hyunggu Jung

    In 26th International Conference on Intelligent User Interfaces-Companion Apr 2021

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11. IUI

    LectYS: A System for Summarizing Lecture Videos on YouTube

    Taewon Yoo, Hyewon Jeong, Donghwan Lee, and Hyunggu Jung

    In 26th International Conference on Intelligent User Interfaces-Companion Apr 2021

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12. JMIR

    A novel food record app for dietary assessments among older adults with type 2 diabetes: development and usability study

    Hyunggu Jung , George Demiris, Peter Tarczy-Hornoch, Mark Zachry, and others

    JMIR Formative Research Feb 2021

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