Dynamics of mental models: objective vs. subjective user understanding of a robot in the wild

In Human-Robot Interaction research, assessing how humans understand the robots they interact with is crucial, particularly when studying the impact of explainability and transparency. Some studies evaluate objective understanding by analysing the accuracy of users' mental models, while others...

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Detalles Bibliográficos
Autores: Gebellí Guinjoan, Ferran, Garrell Zulueta, Anais|||0000-0002-4629-0723, Lemaignan, Séverin, Ros, Raquel
Tipo de recurso: artículo
Fecha de publicación:2025
País:España
Institución:Universitat Politècnica de Catalunya (UPC)
Repositorio:UPCommons. Portal del coneixement obert de la UPC
Idioma:inglés
OAI Identifier:oai:upcommons.upc.edu:2117/441432
Acceso en línea:https://hdl.handle.net/2117/441432
https://dx.doi.org/10.1109/LRA.2025.3579217
Access Level:acceso abierto
Palabra clave:Social HRI
Long term interaction
Human-centered robotics
Àrees temàtiques de la UPC::Informàtica::Robòtica
Descripción
Sumario:In Human-Robot Interaction research, assessing how humans understand the robots they interact with is crucial, particularly when studying the impact of explainability and transparency. Some studies evaluate objective understanding by analysing the accuracy of users' mental models, while others rely on perceived, self-reported levels of subjective understanding. We hypothesise that both dimensions of understanding may diverge, thus being complementary methods to assess the effects of explainability on users. In our study, we track the weekly progression of the users' understanding of an autonomous robot operating in a healthcare centre over five weeks. Our results reveal a notable mismatch between objective and subjective understanding. In areas where participants lacked sufficient information, the perception of understanding, i.e. subjective understanding, raised with increased contact with the system while their actual understanding, objective understanding, did not. We attribute these results to inaccurate mental models that persist due to limited feedback from the system. Future research should clarify how both objective and subjective dimensions of understanding can be influenced by explainability measures, and how these two dimensions of understanding affect other desiderata such as trust or usability.