Self-driving is a technology that has been envisioned in science fiction movies or in speculative design for quite some time. However, it is one of the few future technologies that is relatively easy to imagine, but very difficult to implement it into reality due to complexity coming from variability in AI. This discrepancy between reality and imagination is what makes achieving trust in self-driving vehicles more challenging, especially regarding the fact that driving is regarded as a daily task for some people. Keeping into consideration how most of the other projects done to enhance trust in automation deals with full automation, this thesis focuses how trust can be defined in semi autonomous vehicles. This middle ground setting with humans and AI systems working together needs more factors to be considered to make it autonomous, at the same time requiring a higher level of trust from drivers. An additional layer of a takeover situation from driver to AI and vice versa in a semi-autonomous setting would require more level of trust than a full self-driving vehicle where drivers do not have to control anything.Volvo Cars, an automobile manufacturer brand that has its strong focus on safety, was collaborated with in this project to support developing a notion of trust in autonomous systems. The purpose of this collaboration with Volvo Cars was to receive support in any expert knowledge in the mobility field and to create a project that is relevant to the current development state and future vision of autonomous vehicles. In order to provide an environment where drivers can calibrate trust inside vehicles, FiDO, a tangible driving assistant for building trust, was designed through a participatory design process. FiDO provides an environment for setting mutual expectation between driver and vehicle through communicating vehicle’s status and driver’s feedback with poetic visuals. FiDO learns from driver’s behaviors and their direct feedback, which provides personalized content and autonomous driving as an outcome of learning. FiDO’s usage can be adjusted based on driver’s trust level and characteristics of the service of where automation technology is used.This thesis does not cover the entire notion of trust in automation, but focuses particularly on building trust from a driver’s point of view. With including users throughout the process, this is a proof of concept how automation technology and notion of trust can be built with driver’s participation. Although detailed technological feasibility of including both humans and AI in one place to build an autonomous system were not considered into practical levels, this thesis emphasizes how we can also establish trust voluntarily from a user’s point of view.
| Identifer | oai:union.ndltd.org:UPSALLA1/oai:DiVA.org:umu-197509 |
| Date | January 2022 |
| Creators | Hwang, Soh Heum |
| Publisher | Umeå universitet, Designhögskolan vid Umeå universitet |
| Source Sets | DiVA Archive at Upsalla University |
| Language | English |
| Detected Language | English |
| Type | Student thesis, info:eu-repo/semantics/bachelorThesis, text |
| Format | application/pdf |
| Rights | info:eu-repo/semantics/openAccess |
Page generated in 0.0025 seconds