Usability Assessment of a Smart Cognitive Assistant for Automated Driving

Toffetti, Antonella; Balocco, Elena; Borgarello, Laura; Turi, Giovanni; Bertolino, D; Chateau, Benjamin

doi:10.5220/0010725900003060

Cited by 1 publication

(1 citation statement)

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“…Aiming at serving the elder drivers, Alexandra [17] conducted a driving experiment to evaluate the in-vehicle HMI usability and proposed a design strategy for promoting HMI usability and acceptance. Toffetti [18] performed a user test to assess the usability of HMI prototype, whose findings were used during the subsequent human-centric design phase. Park [19] analyzed the AR-HUD interface through different methods, and proposed the design principles of interface usability for reference.…”

Section: Introductionmentioning

confidence: 99%

Usability Evaluation of in-Vehicle AR-HUD Interface Applying AHP-GRA

Cheng

Zhong

Yang

et al. 2022

Hum-Cent Intell Syst

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Usability is regarded to be a fundamental requirement for in-vehicle HMIs, and usability evaluation reflects the impact of the interface and the acceptance from the users. This study introduced a usability evaluation model of AR-HUD interface by applying grey analytic hierarchy process (AHP). First, based on the ameliorated PSSUQ (Post-Study System Usability Questionnaire), the usability evaluation system was modified and optimized according to the characteristics of AR-HUD. On this basis, the preference weights for evaluation indexes were calculated by AHP and the idea of group decision. Finally, the criteria of usability were integrated into grey relational degree by applying grey relational analysis (GRA) to obtain optimal design. A case study was conducted to demonstrate the applicability of the developed model to the usability evaluation of AR-HUD interface design. According to the existing AR-HUD interface design, 7 dimensions of design elements (A-G) and 18 interface prototypes (S1-S18) were selected by Taguchi orthogonal array test (TOAT). As the results indicated, the grey relational degree of S5 was 0.923, signifying that it was the optimal sample; and the results were also compared with entropy-TOPSIS to verify the feasibility of the proposed method. The grey-based AHP evaluation model can be used to evaluate the usability level of AR-HUD interface effectively, which may help designers achieve insights for design process and samples decision-making.

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Section: Introductionmentioning

confidence: 99%