Designing therapeutic care experiences with AI in mind

Aisling Kelliher, Barbara Barry

Research output: Contribution to conferencePaperpeer-review


Designing systems and services with AI functionality as part of a care experience presents a range of challenges and opportunities. Limitations with sparse or missing data can make algorithmic training difficult, while the opaqueness of some black box methods muddies the process of interpreting outcomes. Human expertise and knowledge need to be carefully integrated at appropriate stages to inform both the AI approach and the fulfillment of the overall care cycle. Tackling this complex problem space requires a multidimensional and multi-stage approach integrating technical, social, medical, design and HCI knowledge. Based on our work creating therapeutic AI systems for cognitive and physical training, we propose six key system design challenges for consideration.

Original languageEnglish (US)
Number of pages4
StatePublished - 2018
Event2018 AAAI Spring Symposium - Palo Alto, United States
Duration: Mar 26 2018Mar 28 2018


Conference2018 AAAI Spring Symposium
Country/TerritoryUnited States
CityPalo Alto

ASJC Scopus subject areas

  • Artificial Intelligence


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