Application of the multimodal human-vehicle interaction device for intelligent cars in China
<p>Nowadays, various Human-Computer Interaction (HCI) technologies flow into the</p><p>vehicle, increasing the complexity of HVI. Meanwhile, drivers recognition load</p><p>increase significantly, and distraction is caused. There i...
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| Format: | thesis |
| Language: | eng |
| Published: |
2023
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| Subjects: | |
| Online Access: | https://ir.upsi.edu.my/detailsg.php?det=10417 |
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| Summary: | <p>Nowadays, various Human-Computer Interaction (HCI) technologies flow into the</p><p>vehicle, increasing the complexity of HVI. Meanwhile, drivers recognition load</p><p>increase significantly, and distraction is caused. There is still a theoretical research gap</p><p>in accepting and adopting MHVI in China. This study aims to design an MHVI with</p><p>better effectiveness, efficiency, and less TEORT; exploring an evaluation model for</p><p>MHVI to obtain more precise evaluation results; and discuss the predictors and</p><p>determinants that influence the acceptance of MHVI. This study adopts the Design and</p><p>Development Research (DDR) with a description of the background and objectives, a</p><p>literature review, and an interview with 30 experts for designing MHV. The interview</p><p>aims to understand the feasibility of designing the new MHVI, user needs, and</p><p>traditional HVIs disadvantages. Based on this, a new MHVI is developed, and MHVIs</p><p>usability is tested by the participation of 30 interviewees in the experimental and control</p><p>groups. The Structured Equation Modelling (SEM) method was employed to analyze</p><p>the relationship between the control factors of MHVIs acceptance intention. The study</p><p>proposes a UTAUT-GOMS mode, and these interviewees complete the interaction task</p><p>in a simulated driving cab. To verify the UTAUT-GOMS model and test the hypothesis,</p><p>401 valid questionnaires were administered. Results showed that the new MHVI has</p><p>higher efficiency, effectiveness, and less TEORT than the traditional HVI; the UTAUTGOMS</p><p>model can be used to better explain the factors that influence the acceptance of</p><p>MHVI, facilitating conditions/selection rules/operators/behavioral intention and</p><p>methods influence use behavior positively; behavioral intention can be positively</p><p>affected by PE, EE, and goals. This research has influenced theoretical models and</p><p>MHVIS, and this finding can add value to the academic needs in developing MHVI for</p><p>intelligent cars. This study will benefit users by providing more effective, efficient, and</p><p>helpful models.</p> |
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