TY - GEN
T1 - Persuasive visual presentation of prescriptive business processes
AU - Leemets, Janna-Liina
AU - Kubrak, Kateryna
AU - Milani, Fredrik
A2 - Nolte, Alexander
A2 - Nurcan, Selmin
A2 - Opdahl, Andreas L.
A2 - Mouratidis, Haralambos
A2 - Tsohou, Aggeliki
PY - 2023/5/23
Y1 - 2023/5/23
N2 - Prescriptive process monitoring methods recommend interventions during the execution of a case that, if followed, can improve performance. Research on prescriptive process monitoring so far has focused mainly on improving the underlying algorithms and providing suitable explanations for recommendations. Empirical works indicate, though, that process workers often do not follow recommendations even if they understand them. Drawing inspiration from the field of persuasive technology, we developed and evaluated a visualization that nudges process workers towards accepting a recommendation, following a design science approach. Our evaluation points towards the feasibility of the visualization and provides insights into how users perceive different persuasive elements, thus providing a basis for the design of future systems.
AB - Prescriptive process monitoring methods recommend interventions during the execution of a case that, if followed, can improve performance. Research on prescriptive process monitoring so far has focused mainly on improving the underlying algorithms and providing suitable explanations for recommendations. Empirical works indicate, though, that process workers often do not follow recommendations even if they understand them. Drawing inspiration from the field of persuasive technology, we developed and evaluated a visualization that nudges process workers towards accepting a recommendation, following a design science approach. Our evaluation points towards the feasibility of the visualization and provides insights into how users perceive different persuasive elements, thus providing a basis for the design of future systems.
KW - Persuasive visualization
KW - Prescriptive process monitoring
KW - User interface
UR - http://www.scopus.com/inward/record.url?scp=85163284291&partnerID=8YFLogxK
U2 - 10.1007/978-3-031-33080-3_24
DO - 10.1007/978-3-031-33080-3_24
M3 - Conference contribution
SN - 978-3-031-33079-7
T3 - Lecture Notes in Business Information Processing (LNBIP)
SP - 398
EP - 414
BT - Research Challenges in Information Science: Information Science and the Connected World
PB - Springer
CY - Cham
T2 - 17th International Conference on Research Challenges in Information Science, RCIS 2023
Y2 - 23 May 2023 through 26 May 2023
ER -