Application of the multimodal human-vehicle interaction device for intelligent cars in China

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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Main Author: Lyu, Jianan
Format: thesis
Language:eng
Published: 2023
Subjects:
TK Electrical engineering
Electronics Nuclear engineering
Online Access:https://ir.upsi.edu.my/detailsg.php?det=10417
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institution Universiti Pendidikan Sultan Idris
collection UPSI Digital Repository
language eng
topic TK Electrical engineering
Electronics Nuclear engineering
spellingShingle TK Electrical engineering
Electronics Nuclear engineering
Lyu, Jianan
Application of the multimodal human-vehicle interaction device for intelligent cars in China
description <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>
format thesis
qualification_name
qualification_level Doctorate
author Lyu, Jianan
author_facet Lyu, Jianan
author_sort Lyu, Jianan
title Application of the multimodal human-vehicle interaction device for intelligent cars in China
title_short Application of the multimodal human-vehicle interaction device for intelligent cars in China
title_full Application of the multimodal human-vehicle interaction device for intelligent cars in China
title_fullStr Application of the multimodal human-vehicle interaction device for intelligent cars in China
title_full_unstemmed Application of the multimodal human-vehicle interaction device for intelligent cars in China
title_sort application of the multimodal human-vehicle interaction device for intelligent cars in china
granting_institution Universiti Pendidikan Sultan Idris
granting_department Fakulti Seni, Komputeran dan Industri Kreatif
publishDate 2023
url https://ir.upsi.edu.my/detailsg.php?det=10417
_version_ 1804890553760874496
spelling oai:ir.upsi.edu.my:104172024-06-13 Application of the multimodal human-vehicle interaction device for intelligent cars in China 2023 Lyu, Jianan TK Electrical engineering. Electronics Nuclear engineering <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> 2023 thesis https://ir.upsi.edu.my/detailsg.php?det=10417 https://ir.upsi.edu.my/detailsg.php?det=10417 text eng closedAccess Doctoral Universiti Pendidikan Sultan Idris Fakulti Seni, Komputeran dan Industri Kreatif <p>Abushanab, E., and Pearson, J. M. (2007). 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