TY - JOUR
T1 - Requirement analysis for social acceptance of AI medical interview - from view of quality in use
AU - Noda, Natsuko
AU - Fukuzumi, Shin'ichi
N1 - Funding Information:
This paper is based on the research and discussions conducted by Mr. Junpei Sakura (2020 graduate of Shibaura Institute of Technology) under our guidance.
Publisher Copyright:
© 2021 for this paper by its authors
PY - 2021
Y1 - 2021
N2 - The purpose of this study is to clarify the requirements that must be met for AI-based medical interview to be accepted by humans and society. In this study, we set up personas of users who have various ideas, and create usage cases of AI medical interview service based on the personas. From the created usage cases, we extract and analyze the feelings and thoughts of the personas in response to each question and usage flow of the AI medical interview service. From this analysis, we clarify requirements on AI medical interview services referring to the concept of quality in use in ISO/IEC 25010:2011. Using this standard, we were able to extract the requirements of "usability," "reliability," and "acceptability" that have been not enough considered in the past. In this paper, we introduce the requirements acquired from the analysis.
AB - The purpose of this study is to clarify the requirements that must be met for AI-based medical interview to be accepted by humans and society. In this study, we set up personas of users who have various ideas, and create usage cases of AI medical interview service based on the personas. From the created usage cases, we extract and analyze the feelings and thoughts of the personas in response to each question and usage flow of the AI medical interview service. From this analysis, we clarify requirements on AI medical interview services referring to the concept of quality in use in ISO/IEC 25010:2011. Using this standard, we were able to extract the requirements of "usability," "reliability," and "acceptability" that have been not enough considered in the past. In this paper, we introduce the requirements acquired from the analysis.
KW - AI systems
KW - persona
KW - quality in use
KW - requirement analysis
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M3 - Conference article
AN - SCOPUS:85128743496
SN - 1613-0073
VL - 3114
SP - 31
EP - 33
JO - CEUR Workshop Proceedings
JF - CEUR Workshop Proceedings
T2 - 3rd International Workshop on Experience with SQuaRE Series and Its Future Direction, IWESQ 2021
Y2 - 8 December 2021
ER -