Listed as
Automotive Tow assist & Self-park System
Project
Pickup truck tow assist system & autonomous self-park mode
Type
Research, HMI
Role
Design Researcher, Project Manager
Deliverables
Final report with key statistical metrics and findings, recommendations for design, sketches of participant co-design during semi-structured interviews.
Over the course of 6 days in July of 2022, a major automotive maker hired my firm, Escalent, to conduct research related to a self-park mode and an augmented trailer detection and guidance system. The engineers themselves conducted the trailer assist interviewing while we conducted user research around the competitors self-park mode. In this project, I had to wear multiple hats balancing a PM role and moderating research around the self-park system. Following the research, we generated a report with our findings and a list of recommendations for the client to start the design process for their self-park system prototype as well as list of revisions we recommended for the client’s next iteration of the tow assist system.
During this project, my key role was to serve as moderator and interviewer during monad interviews. This included a feature introduction to the self park mode on the competitors vehicle, as well as a semi-structured interview as we went. The data collection consisted of open-ended and multiple choice questions, allowing us to conduct both qualitative insight generation as well as statistical analysis. Overall, our qualitative and quantitative findings were consistent, leading to some really interesting triangulation on potential uses for an autonomous park system beyond current use cases.
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