Vision-based holistic scene understanding towards proactive human–robot collaboration

Fan, Junming; Zheng, Pai; Li, Shufei

doi:10.1016/j.rcim.2021.102304

Cited by 110 publications

(19 citation statements)

References 107 publications

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“…There will be other dimensions affecting the service quality, passengers' satisfaction, and their loyalty to the airlines that are worth further study in the future. The predictive maintenance and preventive maintenance assisted with multiple Internet-of-Things and cloud-based scheduling system could be further considered as one of the paramters affected the service quality (Fan et al, 2022;Li, Feng, Guo, Wang, Li, Liu et al, 2020;Li, Ng, Fan, Yuan, Liu & Bu, 2021;Xia et al, 2021;Xia, Zheng, Li, Gao & Wang, 2022;Zheng et al, 2021). The adoption of a smart product service system could also affected the service quality in future (Fan et al, 2022;; Wang, Chen, Zheng, Li & Khoo, 2019Zhang, Ye, Peng, Peng, Tang & Xiang, 2020;Zheng, Lin, Chen & Xu, 2018;Zheng, Wang, Sang, Zhong, Liu, Liu et al, 2018).…”

Section: Discussionmentioning

confidence: 99%

“…The predictive maintenance and preventive maintenance assisted with multiple Internet-of-Things and cloud-based scheduling system could be further considered as one of the paramters affected the service quality (Fan et al, 2022;Li, Feng, Guo, Wang, Li, Liu et al, 2020;Li, Ng, Fan, Yuan, Liu & Bu, 2021;Xia et al, 2021;Xia, Zheng, Li, Gao & Wang, 2022;Zheng et al, 2021). The adoption of a smart product service system could also affected the service quality in future (Fan et al, 2022;; Wang, Chen, Zheng, Li & Khoo, 2019Zhang, Ye, Peng, Peng, Tang & Xiang, 2020;Zheng, Lin, Chen & Xu, 2018;Zheng, Wang, Sang, Zhong, Liu, Liu et al, 2018). The considereation of sustainability would be also considerable as one of the dimensions which may affect the passengers' satisfaction and its loyalty R.…”

Section: Discussionmentioning

confidence: 99%

“…In contrast, Rahman, Hasan and Mia (2017)'s research suggested that there is a significant positive correlation between empathy and customer satisfaction. The impact of all dimensions of service quality on the satisfaction and loyalty of customers is worth examining (Fan, Zheng & Li, 2022;Xia, Zheng, Huang & Liu, 2021;Zhang, Zheng, Peng, He, Lee & Tang, 2022).…”

Section: Introductionmentioning

confidence: 99%

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How do full-service carriers and low-cost carriers passengers perceived service dimensions, passengers’ satisfaction, and loyalty differently? An empirical study

Chow

Li²,

Mak³

et al. 2022

JIEM

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Purpose: In this study, group differences between full-service carriers (FSC) and low-cost carriers (LCC) in loyalty constructs are investigated, revealing the relationship between service quality and loyalty. This work focuses on five dimensions, including tangibility, empathy, assurance, responsiveness, and reliability, constitute service quality. Design/methodology/approach: 248 questionnaires were collected in the first half of 2019. The antecedents of customer loyalty are explored, and the group differences between FSC and LCC are analyzed. For assessing the path model with the consideration of group variance, the Partial Least Squares Multiple Group Analysis (PLS-MGA) was adopted to analyze the differences of the estimated inter-group coefficient.Findings: Our findings suggest that service assurance, service empathy, and service reliability positively impact the value perceived. The impact of service empathy on customer satisfaction in FSC is significantly diverse from LCC. Several suggestions are provided to FSC and LCC on improving their services in view of passengers’ wants and interests.Originality/value: With the data collected at the HKIA, this study examined the relationships among service quality, perceived value, customer satisfaction, and customer loyalty and divided service quality into five dimensions. The findings show that assurance, empathy, and reliability of service quality positively affect the value perceived, and the effects of responsiveness and tangibility of service quality on perceived value are insignificant. Among the five aspects of service quality, assurance, reliability, responsiveness, and tangibility of the service quality are the pre-conditions of customer satisfaction. However, only the reliability of service is the antecedent of customer loyalty. Besides, the value perceived positively affects customers to be satisfactory and loyal. Furthermore, satisfaction degree also significantly influences the degree of customers’ loyalty. As to the role of airline types, the sole effect is on customers' satisfaction is service empathy, with a significant difference between FSC and LCC.

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Section: Discussionmentioning

confidence: 99%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

How do full-service carriers and low-cost carriers passengers perceived service dimensions, passengers’ satisfaction, and loyalty differently? An empirical study

Chow

Li²,

Mak³

et al. 2022

JIEM

View full text Add to dashboard Cite

show abstract

“…Data-driven modelling approaches are widely used in many disciplines [6][7][8][9][10]. Therefore, data-driven approaches have been effectively applied in predictive maintenance [11,12], especially fault diagnosis [13,14].…”

Section: Data-driven Modelling Approaches With Limited Datamentioning

confidence: 99%

Privacy‐preserving gradient boosting tree: Vertical federated learning for collaborative bearing fault diagnosis

Xia

Zheng

et al. 2022

IET Collab Intel Manufact

Self Cite

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Data-driven fault diagnosis approaches have been widely adopted due to their persuasive performance. However, data are always insufficient to develop effective fault diagnosis models in real manufacturing scenarios. Despite numerous approaches that have been offered to mitigate the negative effects of insufficient data, the most challenging issue lies in how to break down the data silos to enlarge data volume while preserving data privacy. To address this issue, a vertical federated learning (FL) model, privacy-preserving boosting tree, has been developed for collaborative fault diagnosis of industrial practitioners while maintaining anonymity. Only the model information will be shared under the homomorphic encryption protocol, safeguarding data privacy while retaining high accuracy. Besides, an Autoencoder model is provided to encourage practitioners to contribute and then improve model performance. Two bearing fault case studies are conducted to demonstrate the superiority of the proposed approach by comparing it with typical scenarios. This present study's findings offer industrial practitioners insights into investigating the vertical FL in fault diagnosis.

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“…Since the last decade, digital advertising has become much more critical than before as it is more affordable and can reach larger audiences. 5G networking is being adopted worldwide increasingly so the access speed of digital content can be instantaneous with the aid of the Internet of Things ( Keung et al, 2018 , 2020 , 2021 , 2022a , b ; Lee et al, 2018b ; Liu et al, 2019 ; Li et al, 2021b , c , d ; Xia et al, 2021 ; Zheng et al, 2021 ; Fan et al, 2022 ; Zhang et al, 2022 ). DCM aims to build a close connection with customers through continuous conversation to convince their leads over time.…”

Section: Introductionmentioning

confidence: 99%

Evaluating the Effectiveness of Digital Content Marketing Under Mixed Reality Training Platform on the Online Purchase Intention

Li¹,

Chan

Chow

et al. 2022

Front. Psychol.

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The purpose of this research is to investigate the effectiveness of Digital Content Marketing (DCM) on a Mixed Reality (MR) training platform environment with the consideration of online purchase intention (OPI) through social media. E-commerce today encounters several common issues that cause customers to have reservations to purchase online. With the absence of physical contact points, customers often perceive more risks when making purchase decisions. Furthermore, online retailers often find it hard to engage customers and develop long-term relationships. In this research, a Structural Equation Model (SEM) is proposed to examine the efficacy of DCM from both immediate and long-term OPI. The results examine whether adopting DCM on an MR training platform environment through social media brings positive results in OPI. Empirical research was carried out through online questionnaires collected in 2021 and 2022. A total of 374 questionnaires were qualified for data analysis in this study, conducted with IBM SPSS and AMOS. The results imply that DCM is critical to stimulating both immediate and long-term OPI. The immediate OPI is positively affected by increasing perceived value through MR in DCM. Regarding the long-term OPI, increased customer engagement with DCM under MR environment can cultivate brand trust and significantly affect the long-term OPI.

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Vision-based holistic scene understanding towards proactive human–robot collaboration

Cited by 110 publications

References 107 publications

How do full-service carriers and low-cost carriers passengers perceived service dimensions, passengers’ satisfaction, and loyalty differently? An empirical study

How do full-service carriers and low-cost carriers passengers perceived service dimensions, passengers’ satisfaction, and loyalty differently? An empirical study

Privacy‐preserving gradient boosting tree: Vertical federated learning for collaborative bearing fault diagnosis

Evaluating the Effectiveness of Digital Content Marketing Under Mixed Reality Training Platform on the Online Purchase Intention

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