Research on the Correlation of User Evaluation on the Interaction Features Between the Central-Control-Screen and Voice in the Automobile Cockpit

Yuanyang Zuo, Jun Ma, Huifang Du, Meilun Tan, Qi Yang

Abstract: The purpose of this study is to investigate the user experiences of the two mainstream interaction modes, voice interaction and central control screen (CCS) interaction, in intelligent cockpits. A vocabulary library for sensory words in the two modes is established by collecting sensory imagery vocabulary based on the theory of sensory engineering. Questionnaire design is used to collect users’ subjective feelings, resulting in user experience scores for the two modes. The research results identify the most favored user experiences in both voice and CCS interactions, as well as strongly correlated user perceptions and clustering results obtained through principal component analysis. The findings provide targeted guidance for automakers and designers to meet user interaction needs in both voice and CCS interactions, thereby enhancing the interactive experience and safety of automotive intelligent cockpits.

External IDs:dblp:conf/hci/ZuoMDTY24