Demystifying the Black Box - Exploring How Users Make Sense of Fully Automated Vehicles
Licentiate thesis, 2020
The findings show that use of the AV gave rise to several levels of meaning, based on two different processes. The main one was an external process, where integration of the participants’ conceptual models of human drivers and AVs, artefactual signifiers, and situational signifiers in a context developed meaning. However, an internal process was also evident, where meanings themselves developed new meanings. This thesis presents a tentative model based on the findings, describing three important components: the user’s conceptual model, the signifiers, and the meanings that arise during usage of the AV. The model illustrates the complex interplay between these three components and can be used to better understand and investigate how users make sense of AVs to aid the design and development of AVs.
The thesis also contributes to the field of product semantics through the practical application of product semantic theories, in addition to providing further insight into how users develop meaning and make sense of artefacts, by describing the processes and components which seem to be the foundation when making sense of artefacts.
Having said that, further studies need to explore in greater detail the dynamics of the process of making sense, the process of making sense in partially automated vehicles, and how meaning changes during a prolonged usage.
Chalmers, Industrial and Materials Science, Design and Human Factors
Johansson, M., Ekman, F., Karlsson, M., Strömberg, H., & Bligård, L-O. Talking Automated Vehicles – Investigating Users’ Understanding of an Automated Vehicle During Initial Usage.
Johansson, M., Ekman, F., Strömberg, H., Karlsson, M., & Bligård, L-O. Capable and Considerate: Exploring the Assigned Attributes of an Automated Vehicle.
Users' understanding of autonomou vehicles - DAUT
Chalmers, 2017-07-01 -- 2021-06-30.
Production Engineering, Human Work Science and Ergonomics
Human Computer Interaction
Areas of Advance
Opponent: Dimitrios Gkouskos, School of Information Technology at Halmstad University, Sweden