Abstract
Robotic Process Automation (RPA) has emerged as an important topic for the industry and for the scientific literature, given its great potential to reduce the costs and to increase the efficacy of business processes. RPA tools are generally developed as rule-based system which mimic the actions of a human users on a software interface in order to automate repetitive, well-defined tasks. Because these solutions follow the same exact steps, they might be less flexible to changes in the interface or the task specifications. Artificial intelligence might overcome some limitations but has its disadvantages. In this paper, we argue that cognitive models inspired from the ways in which human users perform a business task might represent a sound basis to define flexible and efficient RPA solutions. We propose the think aloud protocol as an adequate methodology to develop such cognitive models and we exemplify how this methodology can be applied.
Paper Type
Poster
DOI
10.62036/ISD.2022.23
Informing Robotic Process Automation (RPA) by Analysing Human Users’ Problem-solving Strategies
Robotic Process Automation (RPA) has emerged as an important topic for the industry and for the scientific literature, given its great potential to reduce the costs and to increase the efficacy of business processes. RPA tools are generally developed as rule-based system which mimic the actions of a human users on a software interface in order to automate repetitive, well-defined tasks. Because these solutions follow the same exact steps, they might be less flexible to changes in the interface or the task specifications. Artificial intelligence might overcome some limitations but has its disadvantages. In this paper, we argue that cognitive models inspired from the ways in which human users perform a business task might represent a sound basis to define flexible and efficient RPA solutions. We propose the think aloud protocol as an adequate methodology to develop such cognitive models and we exemplify how this methodology can be applied.
Recommended Citation
Matu, S. & Gălățanu, N. (2022). Poster: Informing Robotic Process Automation (RPA) by Analysing Human Users’ Problem-solving Strategies. In R. A. Buchmann, G. C. Silaghi, D. Bufnea, V. Niculescu, G. Czibula, C. Barry, M. Lang, H. Linger, & C. Schneider (Eds.), Information Systems Development: Artificial Intelligence for Information Systems Development and Operations (ISD2022 Proceedings). Cluj-Napoca, Romania: Risoprint. ISBN: 978-973-53-2917-4. https://doi.org/10.62036/ISD.2022.23