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Naslov:Exploring the feasibility of generative AI in persona research : a omparative analysis of large language model-generated and human-crafted personas in obesity research
Avtorji:ID Smrke, Urška (Avtor)
ID Rehberger, Ana (Avtor)
ID Plohl, Nejc (Avtor)
ID Mlakar, Izidor (Avtor)
Datoteke:.pdf applsci-15-01937-v2.pdf (812,18 KB)
MD5: 06E543B88DBC1421E53B56339ECE90F7
 
Jezik:Angleški jezik
Vrsta gradiva:Članek v reviji
Tipologija:1.01 - Izvirni znanstveni članek
Organizacija:FERI - Fakulteta za elektrotehniko, računalništvo in informatiko
FF - Filozofska fakulteta
Opis:This study investigates the perceptions of Persona descriptions generated using three different large language models (LLMs) and qualitatively developed Personas by an expert panel involved in obesity research. Six different Personas were defined, three from the clinical domain and three from the educational domain. The descriptions of Personas were generated using qualitative methods and the LLMs (i.e., Bard, Llama, and ChatGPT). The perception of the developed Personas was evaluated by experts in the respective fields. The results show that, in general, the perception of Personas did not significantly differ between those generated using LLMs and those qualitatively developed by human experts. This indicates that LLMs have the potential to generate a consistent and valid representation of human stakeholders. The LLM-generated Personas were perceived as believable, relatable, and informative. However, post-hoc comparisons revealed some differences, with descriptions generated using the Bard model being in several Persona descriptions that were evaluated most favorably in terms of empathy, likability, and clarity. This study contributes to the understanding of the potential and challenges of LLM-generated Personas. Although the study focuses on obesity research, it highlights the importance of considering the specific context and the potential issues that researchers should be aware of when using generative AI for generating Personas.
Ključne besede:user personas, obesity, large language models, value sensitive design, digital health interventions
Status publikacije:Objavljeno
Verzija publikacije:Objavljena publikacija
Poslano v recenzijo:05.02.2025
Datum sprejetja članka:11.02.2025
Datum objave:13.02.2025
Leto izida:2025
Št. strani:19 str.
Številčenje:Vol. 15, iss. 4, [article no.] 1937
PID:20.500.12556/DKUM-91860 Novo okno
UDK:004.5
COBISS.SI-ID:226175491 Novo okno
DOI:10.3390/app15041937 Novo okno
ISSN pri članku:2076-3417
Avtorske pravice:© 2025 by the authors
Datum objave v DKUM:14.02.2025
Število ogledov:160
Število prenosov:16
Metapodatki:XML DC-XML DC-RDF
Področja:Ostalo
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Skupna ocena:(0 glasov)
Vaša ocena:Ocenjevanje je dovoljeno samo prijavljenim uporabnikom.
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Gradivo je del revije

Naslov:Applied sciences
Skrajšan naslov:Appl. sci.
Založnik:MDPI
ISSN:2076-3417
COBISS.SI-ID:522979353 Novo okno

Gradivo je financirano iz projekta

Financer:EC - European Commission
Številka projekta:101080718
Naslov:Multi-Pillar Framework for children Anti-Obesity Behavior building on an EU biobank, Micro Moments and Mobile Recommendation Systems
Akronim:BIO-STREAMS

Financer:ARIS - Javna agencija za znanstvenoraziskovalno in inovacijsko dejavnost Republike Slovenije
Številka projekta:P2-0069-2018
Naslov:Napredne metode interakcij v telekomunikacijah

Licence

Licenca:CC BY 4.0, Creative Commons Priznanje avtorstva 4.0 Mednarodna
Povezava:http://creativecommons.org/licenses/by/4.0/deed.sl
Opis:To je standardna licenca Creative Commons, ki daje uporabnikom največ možnosti za nadaljnjo uporabo dela, pri čemer morajo navesti avtorja.

Sekundarni jezik

Jezik:Slovenski jezik
Ključne besede:uporabniki, debelost, jezikovni modeli, digitalno zdravje


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