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Team Mental Elf Dhanush B K, Andrew Hoang, Ben McCready, Sara Ng, - PowerPoint PPT Presentation

Team Mental Elf Dhanush B K, Andrew Hoang, Ben McCready, Sara Ng, Naomi Tachikawa Shapiro, Yifan Zhuang Our Vision Promote accurate information on mental health conditions Engage users in naturalistic conversation Break stigma


  1. Team Mental Elf Dhanush B K, Andrew Hoang, Ben McCready, Sara Ng, Naomi Tachikawa Shapiro, Yifan Zhuang

  2. Our Vision ▪ Promote accurate information on mental health conditions ▪ Engage users in naturalistic conversation ▪ Break stigma surrounding the discussion of mental health

  3. Sample Dialogue Mental Elf: Hello! I am Mental Elf. I like discussing mental health conditions and advocating for mental health awareness. What would you like to discuss today? User: Can we talk about autism? Mental Elf: Did I hear you correctly that you would like to discuss an overview of autism spectrum disorder? User: Yes, I would. Mental ELf: Autism spectrum disorder is a condition related to brain development that impacts how a person perceives and socializes with others, causing problems in social interaction and communication.

  4. Specific Capabilities ▪ Give an overview of a condition ▪ Give treatment options for a condition ▪ Give symptoms of a condition ▪ Provide an anecdote from a person living with a condition ▪ Elicit user opinions about provided information

  5. System Architecture

  6. Data Sourcing Sources: ▪ Mayo Clinic ▪ depressionforums.org, a public mental health forum Conditions Covered: Autism, Alcohol use disorder, Kleptomania, Postpartum depression, PTSD, Social anxiety disorder, ADHD, Atypical depression, Schizophrenia, Binge-eating disorder, Bulimia, Borderline personality disorder, Dissociative disorders, Panic attacks, Panic disorders, Rett syndrome, SAD, Bipolar disorder, Tourette syndrome

  7. Dialogue Management

  8. Performance Evaluation Testing: Virtues: ▪ 3 conversations elicited ▪ User encouraged to explore from team many veins of inquiry ▪ 3 conversations elicited ▪ Run-of-the-mill/expected from novel users utterances handled well Improvements: Error Types: ▪ FSM-style dialogue not ▪ Failure to successfully naturalistic fill slots on rephrases ▪ Out of domain utterances ▪ Frustration at fixed unhandled (renders ‘help’) dialogue flow ▪ Custom NLU

  9. Next Steps ▪ Expand data sources ▪ Allow for more user-oriented control of dialogue management ▪ Perform sentiment analysis on user opinion input to inform both dialogue flow and nature of output provided ▪ Include broader range of topics (e.g. stigma, prevalence, etc.) ▪ Point users to relevant online resources or local healthcare advocates ▪ Tailor experience to each individual user

  10. Demonstration Please be kind

  11. Thank you!

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