REVIEW 2 cited by
Persona-L has Entered the Chat: Leveraging LLM and Ability-based Framework for Personas of People with Complex Needs
Not yet reviewed by Pith; the record is open.
This paper has not been read by Pith yet. Machine review is queued; the pith claim, tier, and objections will appear here once it completes.
SPECIMEN: schema-true, not a live event
T0 review · schema-true
One-sentence machine reading of the paper's core claim.
pith:XXXXXXXX · record.json · timestamp
Signed reviews
read the original abstract
We present Persona-L, a novel approach for creating personas using Large Language Models (LLMs) and an ability-based framework, specifically designed to improve the representation of users with complex needs. Traditional methods of persona creation often fall short of accurately depicting the dynamic and diverse nature of complex needs, resulting in oversimplified or stereotypical profiles. Persona-L enables users to create and interact with personas through a chat interface. Persona-L was evaluated through interviews with UX designers (N=6), where we examined its effectiveness in reflecting the complexities of lived experiences of people with complex needs. We report our findings that indicate the potential of Persona-L to increase empathy and understanding of complex needs while also revealing the need for transparency of data used in persona creation, the role of the language and tone, and the need to provide a more balanced presentation of abilities with constraints.
Forward citations
Cited by 2 Pith papers
-
Runtime Advocates: A Persona-Driven Framework for Requirements@Runtime Decision Support
RAVEN transforms static personas into event-driven advocate personas that generate context-aware safety, ethical, and regulatory guidance for operators of sUAS swarms in real time.
-
PersonaBOT: Bringing Customer Personas to Life with LLMs and RAG
A RAG chatbot augmented with synthetic personas generated from customer success stories raised its average accuracy rating from 5.88 to 6.42 at Volvo CE, with few-shot prompting producing more complete personas than c...
Discussion (0). Continue with ORCID to comment.