Elliot G. Mitchell

schoolColumbia Universitybar_chart#2209 Global Rank

Total Papers

HCI Rank

#2209

Research Areas

Years Active

Recent Publications

T2 Coach: A Qualitative Study of an Automated Health Coach for Diabetes Self-Management

Computational intelligence is increasingly common in interactive systems in many domains, including health. Health coaching with conversational agents (CA) can reach wide populations, but the level of computational intelligence needed for a positive coaching experience is unclear. We conducted a study with sixteen ind…

CHI '221st AuthorConversational Chatbots +1

Examining AI Methods for Micro-Coaching Dialogs

Conversational interaction, for example through chatbots, is well-suited to enable automated health coaching tools to support self-management and prevention of chronic diseases. However, chatbots in health are predominantly scripted or rule-based, which can result in a stagnant and repetitive user experience in contra…

CSCW '211st AuthorCare and Caregiving

Automated vs. Human Health Coaching: Exploring Participant and Practitioner Experiences

Health coaching can be an effective intervention to support self-management of chronic conditions like diabetes, but there are not enough coaching practitioners to scalably reach the growing population in need of support. Conversational technology, like chatbots, presents an opportunity to extend health coaching suppo…

CHI '211st AuthorAI-Assisted Decision-Making & Automation +1

From Reflection to Action: Combining Machine Learning with Expert Knowledge for Nutrition Goal Recommendations

Self-tracking can help personalize self-management interventions for chronic conditions like type 2 diabetes (T2D), but reflecting on personal data requires motivation and literacy. Machine learning (ML) methods can identify patterns, but a key challenge is making actionable suggestions based on personal health data.…

CHI '192nd AuthorAI-Assisted Decision-Making & Automation +2

Personal Health Oracle: Explorations of Personalized Predictions in Diabetes Self-Management

The increasing availability of health data and knowledge about computationally modeling human physiology opens new opportunities for personalized predictions in health. Yet little is known about how individuals interact and reason with personalized predictions. To explore these questions, we developed a smartphone app…

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