Conference Paper

TalkingBoogie: Collaborative Mobile AAC System for Non-verbal Children with Developmental Disabilities and Their Caregivers

Donghoon Shin, Jaeyoon Song, Seokwoo Song, Jisoo Park, Joonhwan Lee, Soojin Jun
CHI 2020 (ACM CHI Conference on Human Factors in Computing Systems)
  Honorable metion award (top 5% among all submissions)

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Augmentative and alternative communication (AAC) technologies are widely used to help non-verbal children enable communication. For AAC-aided communication to be successful, caregivers should support children with consistent intervention strategies in various settings. As such, caregivers need to continuously observe and discuss children's AAC usage to create a shared understanding of these strategies. However, caregivers often find it challenging to effectively collaborate with one another due to a lack of family involvement and the unstructured process of collaboration. To address these issues, we present TalkingBoogie, which consists of two mobile apps: TalkingBoogie-AAC for caregiver-child communication, and TalkingBoogie-coach supporting caregiver collaboration. Working together, these applications provide contextualized layouts for symbol arrangement, scaffold the process of sharing and discussing observations, and induce caregivers' balanced participation. A two-week deployment study with four groups (N=11) found that TalkingBoogie helped increase mutual understanding of strategies and encourage balanced participation between caregivers with reduced cognitive loads.


@inproceedings{talkingboogie,
author = {Shin, Donghoon and Song, Jaeyoon and Song, Seokwoo and Park, Jisoo and Lee, Joonhwan and Jun, Soojin},
title = {TalkingBoogie: Collaborative Mobile AAC System for Non-verbal Children with Developmental Disabilities and Their Caregivers},
booktitle = {Proceedings of the 2020 CHI Conference on Human Factors in Computing Systems},
series = {CHI '20},
year = {2020},
isbn = {978-1-4503-6708-0/20/04},
location = {Honolulu, HI, USA},
url = {http://doi.acm.org/10.1145/3313831.3376154},
doi = {10.1145/3313831.3376154},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {AAC, developmental disability, assistive technology, caregiver collaboration, accessibility}
}

Poster & Workshop Paper

Linguistic Features to Consider When Applying Persona of the Real Persona to the Text-based Agent

Youjin Hwang, Seokwoo Song, Donghoon Shin, Joonhwan Lee
MobileHCI 2020 Adjunct (ACM Conference on Human-Computer Interaction with Mobile Devices and Services, to appear)

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As artificial intelligence (AI) technologies advance, the possibility of developing virtual agents capable of mimicking human beings is increasing. Furthermore, AI techniques applicable to mimicking certain features of a specific person (e.g., facial expression, voice, motion) are becoming more sophisticated. Although the HCI community has explored how to design or develop AI agents mimicking a real person, limited studies on mimicking someone's text-based behavior shown in the instant messaging exist. This study investigates the features that make users perceive text-based agents as people they know in reality. On top of the previous efforts of designing human-like virtual agents, our work suggests design guidelines for applying the persona of the real person (PRP) to text-based agents.


@inproceedings{linguisticfeatures,
author = {Hwang, Youjin and Song, Seokwoo and Shin, Donghoon and Lee, Joonhwan},
title = {Linguistic Features to Consider When Applying Persona of the Real Persona to the Text-based Agent},
booktitle = {Proceedings of the 22th International Conference on Human-Computer Interaction with Mobile Devices and Services Adjunct},
series = {MobileHCI '20 Adjunct},
year = {2020},
isbn = {978-1-4503-8052-2/20/10},
location = {Oldenburg, Germany},
url = {http://doi.acm.org/10.1145/3406324.3410723},
doi = {10.1145/3406324.3410723},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {chatbot, chat analysis, personality, authorship attribution}
}

Applying the Persona of User's Family Member and the Doctor to the Conversational Agents for Healthcare

Youjin Hwang, Donghoon Shin, Sion Baek, Bongwon Suh, Joonhwan Lee
CHI 2020 Workshop on Conversational Agents for Health and Wellbeing

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Conversational agents have been showing lots of opportunities in healthcare by taking over a lot of tasks that used to be done by a human. One of the major functions of conversational healthcare agent is intervening users' daily behaviors. In this case, forming an intonate and trustful relationship with users is one of the major issues. Factors affecting human-agent relationship should be deeply explored to improve long-term acceptance of healthcare agent. Even though a bunch of ideas and researches have been suggested to increase the acceptance of conversational agents in healthcare, challenges still remain. From the preliminary work we conducted, we suggest an idea of applying the personas of users' family members and the doctor who are in the relationship with users in the real world as a solution for forming the relict relationship between humans and the chatbot.


@inproceedings{chatbotpersona,
author = {Hwang, Youjin and Shin, Donghoon and Baek, Sion and Suh, Bongwon and Lee, Joonhwan},
title = {Applying the Persona of User’s Family Member and the Doctor to the Conversational Agents for Healthcare},
booktitle = {CHI 2020 Workshop on Conversational Agents for Health and Wellbeing},
year = {2020},
location = {Honolulu, HI, USA},
keywords = {chatbot, persona, healthcare}
}

Issue Paper

An Analysis of K-MOOC Learners’ Data and an Investigation of its Future Applications

Seoyoung Kim, Sunwoo Kwon, Donghoon Shin, Juho Kim
Issue paper of Korean National Institute for Lifelong Education 2019

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