Chun-Hua Tsai

schoolPennsylvania State Universitybar_chart#1303 Global Rank

Total Papers

HCI Rank

#1303

Research Areas

Years Active

Recent Publications

Distance Matters in Citizen-Based Water Quality Monitoring

Water pollution remains a critical global challenge, threatening public health and aquatic ecosystems. Governmental efforts to monitor and manage water resources often face limitations due to constrained resources and socio-political priorities that may not prioritize sustainable solutions. Citizen science has emerged…

CSCW '232nd AuthorHealth and AI

Beyond Self-diagnosis: How a Chatbot-based Symptom Checker Should Respond

Chatbot-based symptom checker (CSC) apps have become increasingly popular in healthcare. These apps engage users in human-like conversations and offer possible medical diagnoses. The conversational design of these apps can significantly impact user perceptions and experiences, and may influence medical decisions users…

CSCW '223rd AuthorCitizen Science, Physical Communities, and Civic Engagement; Citizen Science, Physical Communities, and Civic Engagement

Instagram of Rivers: Facilitating Distributed Collaboration in Hyperlocal Citizen Science

Citizen science project leaders collecting field data in a hyperlocal community often face common socio-technical challenges, which can potentially be addressed by sharing innovations across different groups through peer-to-peer collaboration. However, most citizen science groups practice in isolation, and end up re-i…

CSCW '211st AuthorTechnology/Information Use in Times of Pandemic

With Help from Afar: Cross-Local Communication in an Online COVID-19 Pandemic Community

Crisis informatics research has examined geographically bounded crises, \revision{such as natural or man-made disasters}, identifying the critical role of local and hyper-local information focused on one geographic area in crisis communication. The COVID-19 pandemic \copyedit{represents} an understudied kind of crisis…

CHI '211st AuthorExplainable AI (XAI) +1

Exploring and Promoting Diagnostic Transparency and Explainability in Online Symptom Checkers

Online symptom checkers (OSC) are widely used intelligent systems in health contexts such as primary care, remote healthcare, and epidemic control. OSCs use algorithms such as machine learning to facilitate self-diagnosis and triage based on symptoms input by healthcare consumers. However, intelligent systems' lack of…

CHI '203rd AuthorConversational Chatbots +1

The Emerging Professional Practice of Remote Sighted Assistance for People with Visual Impairments

People with visual impairments (PVI) must interact with a world they cannot see. Remote sighted assistance (RSA) has emerged as a conversational assistive technology. We interviewed RSA assistants ("agents") who provide assistance to PVI via a conversational prosthetic called Aira (https://aira.io/) to understand thei…

IUI '191st AuthorExplainable AI (XAI) +1

Explaining Recommendations in an Interactive Hybrid Social Recommender

Hybrid social recommender systems use social relevance from multiple sources to recommend relevant items or people to users. To make hybrid recommendations more transparent and controllable, several researchers have explored interactive hybrid recommender interfaces, which allow for a user-driven fusion of recommendat…

IUI '181st AuthorRecommender System UX +1

Beyond the Ranked List: User-Driven Exploration and Diversification of Social Recommendation

The beyond-relevance objectives of recommender systems have been drawing more and more attention. For example, a diversity-enhanced interface has been shown to associate positively with overall levels of user satisfaction. However, little is known about the ways in which users adopt diversity-enhanced interfaces to ac…

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