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Improving trust between humans and software robots in robotic process automation: report from Dagstuhl Seminar 24292

Improving trust between humans and software robots in robotic process automation: report from Dagstuhl Seminar 24292
Improving trust between humans and software robots in robotic process automation: report from Dagstuhl Seminar 24292
This report documents the program and the outcomes of Dagstuhl Seminar 24292 “Improving Trust between Humans and Software Robots in Robotic Process Automation”. The seminar dealt with topics targeted at developing frameworks and guidelines to empower the trust relationship between humans and Software Robots (SW) in Robotic Process Automation (RPA).
RPA is a maturing technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI). RPA allows organizations to automate high-volume and repetitive tasks – also referred to as routines – performed by human users. The enactment of these routines is emulated by means of a software (SW) robot that works on the applications’ user interfaces (UIs) in the same way as the original human operators did. Recent research studies conducted on the effectiveness of RPA within organizations have found that implementation of SW robots does not always lead to the assumed effect, and many SW robots are subsequently withdrawn. In consequence, the human workforce takes over robotized tasks to perform them manually again and, in practice, replaces back SW robots. The fact is that integrating RPA into a human workforce alters the role of human employees and dynamics within the workforce, fueling a lack of trust in RPA technology, an issue deemed increasingly significant given its widespread use in many working domains.
In this direction, this Dagstuhl Seminar aimed to bring together leading experts from industry and academia engaged in diverse communities related to RPA, including BPM and Human- centered AI, intending to reflect on the current RPA principles, which fail to deliver sufficient attention to the interplay between the human workforce and SW robots. The overall goal was to explore the scientific and technological foundations to pioneer new trust-aware RPA solutions that work in partnership with the human workforce, to enhance human capabilities rather than replace human intelligence and break through the barriers to human trust using RPA. The seminar outcomes will serve as a basis to foster joint research efforts and collaborations for charting a roadmap for future RPA research.
business process management, human-centered AI, process automation, Software Robots
7
Schloss Dagstuhl – Leibniz-Zentrum für Informatik
del Río Ortega, Adela
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Marrella, Andrea
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Reijers, Hajo A.
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Wilde, Adriana Gabriela
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del Río Ortega, Adela
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Marrella, Andrea
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Reijers, Hajo A.
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Wilde, Adriana Gabriela
4f9174fe-482a-4114-8e81-79b835946224

del Río Ortega, Adela, Marrella, Andrea, Reijers, Hajo A. and Wilde, Adriana Gabriela (eds.) (2025) Improving trust between humans and software robots in robotic process automation: report from Dagstuhl Seminar 24292 (Dagstuhl Reports, 7, 14) Schloss Dagstuhl – Leibniz-Zentrum für Informatik 29pp.

Record type: Monograph (Project Report)

Abstract

This report documents the program and the outcomes of Dagstuhl Seminar 24292 “Improving Trust between Humans and Software Robots in Robotic Process Automation”. The seminar dealt with topics targeted at developing frameworks and guidelines to empower the trust relationship between humans and Software Robots (SW) in Robotic Process Automation (RPA).
RPA is a maturing technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI). RPA allows organizations to automate high-volume and repetitive tasks – also referred to as routines – performed by human users. The enactment of these routines is emulated by means of a software (SW) robot that works on the applications’ user interfaces (UIs) in the same way as the original human operators did. Recent research studies conducted on the effectiveness of RPA within organizations have found that implementation of SW robots does not always lead to the assumed effect, and many SW robots are subsequently withdrawn. In consequence, the human workforce takes over robotized tasks to perform them manually again and, in practice, replaces back SW robots. The fact is that integrating RPA into a human workforce alters the role of human employees and dynamics within the workforce, fueling a lack of trust in RPA technology, an issue deemed increasingly significant given its widespread use in many working domains.
In this direction, this Dagstuhl Seminar aimed to bring together leading experts from industry and academia engaged in diverse communities related to RPA, including BPM and Human- centered AI, intending to reflect on the current RPA principles, which fail to deliver sufficient attention to the interplay between the human workforce and SW robots. The overall goal was to explore the scientific and technological foundations to pioneer new trust-aware RPA solutions that work in partnership with the human workforce, to enhance human capabilities rather than replace human intelligence and break through the barriers to human trust using RPA. The seminar outcomes will serve as a basis to foster joint research efforts and collaborations for charting a roadmap for future RPA research.

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More information

Published date: 29 January 2025
Venue - Dates: Dagstuhl Seminar 24292: Improving Trust between Humans and Software Robots in Robotic Process Automation, , Dagstuhl, Germany, 2024-07-14 - 2024-07-19
Keywords: business process management, human-centered AI, process automation, Software Robots

Identifiers

Local EPrints ID: 498655
URI: http://eprints.soton.ac.uk/id/eprint/498655
PURE UUID: 9a64e813-d4b8-48fe-97cf-e3463259144b
ORCID for Adriana Gabriela Wilde: ORCID iD orcid.org/0000-0002-1684-1539

Catalogue record

Date deposited: 25 Feb 2025 17:34
Last modified: 12 Jun 2025 01:48

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Contributors

Editor: Adela del Río Ortega
Editor: Andrea Marrella
Editor: Hajo A. Reijers
Editor: Adriana Gabriela Wilde ORCID iD

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