Abstract:As the overall population ages, driving-related accidents and injuries, associated with elderly drivers, have risen. Existing research about elderly drivers mainly focuses on factual data collection and analysis, indicating the elderly's growing fatal accident rates and their different behaviours compared to younger drivers. However, few research has focused on design-led practical solutions to mitigate the elderly's growing fatal accidents, by considering their usability and body conditions, afflicting the el… Show more
“…Figure 7 , which is visualized from the detailed data of “ Appendix ” (Table 11 ), shows the top four evaluation methods accounted by qualitative methods: questionnaires, interviews, scenario observation, and workshops. These methods validate the effectiveness of the corresponding proposed models by capturing and communicating the participants’ feedback via different means, leading to a potential lack of robustness in research and encompassing subjectivity and bias in research conclusions (Jung et al, 2017 ; Richert et al, 2018 ; Van Acker et al, 2020 ), which is followed by insufficient generalizability, as analysed above. Fig.…”
Section: Literature Characterization Of Human-centred Design In Industry 40mentioning
confidence: 95%
“…Similarly, Van Acker et al ( 2020 ) concluded statistically that higher acceptability of wearable mental workload monitoring was associated with being a woman (for trust in the technology), higher technology readiness—the willingness to accept new technologies and security about private data (Victorino et al, 2009 )—and lower educational backgrounds. Besides, lack of considerations regarding specific classes of difference between humans leads to major effects on design outcomes in various design contexts: age with older people (aged 55–75 years) in safe driving (Jung et al, 2017 ) and health sector (Hoe, 2019 ); cultural influences (Russians, a Frenchman, a Chinese) in the experiment of long-term isolation in a limited room space (Boy, 2018 ). These studies address the concern that if design does appreciate individual differences towards the multidimensional approach—considering not only product and/or service design but also social aspects—this could avoid the thwarting of all research efforts and the subsequent lessening of potential benefits.…”
Section: Literature Characterization Of Human-centred Design In Industry 40mentioning
confidence: 99%
“…Numerous contributions have been written on Industry 4.0 areas; however, the majority of them focus on the technical aspects in which human factors are commonly underestimated (Bhamare et al, 2020 ; Grandi et al, 2020 ; Pacaux-Lemoine et al, 2017 ; Peruzzini et al, 2019 ; Theuer et al, 2013 ). There is an increasing concern about how human factors are barely considered in design for products and/or services and poorly addressed in manufacturing, causing complex problems with often unknown consequences across different industrial contexts: nuclear accidents (Wu et al, 2016 ), market failures in new product development (García-Magro & Soriano-Pinar, 2019 ), robotic-surgery-related adversities (Varshney & Alemzadeh, 2017 ), technological accidents during machine manipulation (Pacaux-Lemoine et al, 2017 ), and interaction issues among humans and smart systems (Jung et al, 2017 ; Rogers et al, 2019 ; Streitz, 2019 ).…”
The transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.
“…Figure 7 , which is visualized from the detailed data of “ Appendix ” (Table 11 ), shows the top four evaluation methods accounted by qualitative methods: questionnaires, interviews, scenario observation, and workshops. These methods validate the effectiveness of the corresponding proposed models by capturing and communicating the participants’ feedback via different means, leading to a potential lack of robustness in research and encompassing subjectivity and bias in research conclusions (Jung et al, 2017 ; Richert et al, 2018 ; Van Acker et al, 2020 ), which is followed by insufficient generalizability, as analysed above. Fig.…”
Section: Literature Characterization Of Human-centred Design In Industry 40mentioning
confidence: 95%
“…Similarly, Van Acker et al ( 2020 ) concluded statistically that higher acceptability of wearable mental workload monitoring was associated with being a woman (for trust in the technology), higher technology readiness—the willingness to accept new technologies and security about private data (Victorino et al, 2009 )—and lower educational backgrounds. Besides, lack of considerations regarding specific classes of difference between humans leads to major effects on design outcomes in various design contexts: age with older people (aged 55–75 years) in safe driving (Jung et al, 2017 ) and health sector (Hoe, 2019 ); cultural influences (Russians, a Frenchman, a Chinese) in the experiment of long-term isolation in a limited room space (Boy, 2018 ). These studies address the concern that if design does appreciate individual differences towards the multidimensional approach—considering not only product and/or service design but also social aspects—this could avoid the thwarting of all research efforts and the subsequent lessening of potential benefits.…”
Section: Literature Characterization Of Human-centred Design In Industry 40mentioning
confidence: 99%
“…Numerous contributions have been written on Industry 4.0 areas; however, the majority of them focus on the technical aspects in which human factors are commonly underestimated (Bhamare et al, 2020 ; Grandi et al, 2020 ; Pacaux-Lemoine et al, 2017 ; Peruzzini et al, 2019 ; Theuer et al, 2013 ). There is an increasing concern about how human factors are barely considered in design for products and/or services and poorly addressed in manufacturing, causing complex problems with often unknown consequences across different industrial contexts: nuclear accidents (Wu et al, 2016 ), market failures in new product development (García-Magro & Soriano-Pinar, 2019 ), robotic-surgery-related adversities (Varshney & Alemzadeh, 2017 ), technological accidents during machine manipulation (Pacaux-Lemoine et al, 2017 ), and interaction issues among humans and smart systems (Jung et al, 2017 ; Rogers et al, 2019 ; Streitz, 2019 ).…”
The transition to industry 4.0 has impacted factories, but it also affects the entire value chain. In this sense, human-centred factors play a core role in transitioning to sustainable manufacturing processes and consumption. The awareness of human roles in Industry 4.0 is increasing, as evidenced by active work in developing methods, exploring influencing factors, and proving the effectiveness of design oriented to humans. However, numerous studies have been brought into existence but then disconnected from other studies. As a consequence, these studies in industry and research alike are not regularly adopted, and the network of studies is seemingly broad and expands without forming a coherent structure. This study is a unique attempt to bridge the gap through the literature characteristics and lessons learnt derived from a collection of case studies regarding human-centred design (HCD) in the context of Industry 4.0. This objective is achieved by a well-rounded systematic literature review whose special unit of analysis is given to the case studies, delivering contributions in three ways: (1) providing an insight into how the literature has evolved through the cross-disciplinary lens; (2) identifying what research themes associated with design methods are emerging in the field; (3) and setting the research agenda in the context of HCD in Industry 4.0, taking into account the lessons learnt, as uncovered by the in-depth review of case studies.
“…Studies covering all ages, or those based on other data sources, such as questionnaires and driving simulators, were eliminated. Among the literature, we found five literature reviews on the topic of traffic safety for the elderly (Ang, Chen et al, 2017;Azami-Aghdash, Aghaei et al, 2018;Fitzpatrick and O'Neill, 2017;Furtado, Lima et al, 2019;Jung, Meng et al, 2017). These review the following five aspects, respectively: the influencing factors of road traffic crashes in older adults, epidemiological models and interventions to prevent road traffic injuries among the elderly, trends and factors in ageing motorcyclists' collisions, demographic and sociological characteristics of the elderly injured in traffic crashes, and intelligent vehicle technologies to improve the driving experience of elderly road users.…”
Ageing is an inevitable trend of population development. It is vital to study the traffic safety of elderly populations. Although much literature has been produced about this issue, problems such as an inconsistent definition of the elderly and scattered research objectives still exist. This study uses crash data analysis to find the conclusions, limitations and development directions of this research by retrieving accident analysis studies of the elderly from 2015 to the present. This study reviews crash analysis methods and crash characteristics and crash-influencing factors among the elderly. Most of the current studies analysing traffic accidents in the elderly come from the United States, China and Korea. The literature typically defines the elderly as those above 60 or 65 years old. Common research methods include statistical and machine learning methods. Key factors influencing traffic safety among the elderly are factors related to crash victims, vehicles and the road environment. Future research directions are proposed to investigate the heterogeneity of elderly populations in greater depth.
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