Human factors in technology replacement: a case study in interface design for a public transport monitoring system

Harper, James G.; Fuller, Ray W.; Sweeney, D G; Waldmann, Thomas

doi:10.1016/s0003-6870(96)00069-5

Cited by 9 publications

(4 citation statements)

References 6 publications

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“…Driving guidance (Li, Wang, Zheng, & Zhang, 2007;Yoo et al, 2008;Yuan et al, 2010) Improving transport resources (Barrero, Mierlo, & Tackoen, 2008;Fang & Jianping, 2013;Yahiaoui, Khoudour, & Meurie, 2010) Improving transport infrastructure (Busold et al, 2013;Fazenda, Atmoko, Gu, Guan, & Ball, 2009;Noei & Sargolzaei, 2014) Journey planners (Allulli, Italiano, & Santaroni, 2014;Kostiainen, Erkut, & Piella, 2011;Nelson & Mulley, 2013) Locating objects (Kung & Vlah, 2003) Monitoring traffic ( Candamo, Shreve, Goldgof, Sapper, & Kasturi, 2010;Kung & Vlah, 2003;Semertzidis, Dimitropoulos, Koutsia, & Grammalidis, 2010) Monitoring transport (Harper, Fuller, Sweeney, & Waldmann, 1998;Ladeira, Michel, & Senna, 2011;Yang & Zhang, 2014) Parking (Arnott & Inci, 2006;Nawaz, Efstratiou, & Mascolo, 2013;Teodorović & Lučić, 2006) Payment (Blythe, 1999;Hinterwälder et al, 2013;Opiola & Wilson, 2008) Reporting mobility (Panichpapiboon & Pattara-atikom, 2011;Sommer, Tonguz, & Dressler, 2011;Wischhof, Ebner, & Rohling, 2005) Sharing transport (Firnkorn & Müller, 2011;Prettenthaler & Steininger, 1999;Santos, Behrendt, & Teytelboym, 2010) Traffic light optimization (Gora, 2011;Kareem & Jantan, 2011;Sánchez, Galán, & Rubio, 2008)…”

Section: Type Of Service Referencesmentioning

confidence: 99%

A taxonomy for planning and designing smart mobility services

Cledou

Estévez

Barbosa

2018

Government Information Quarterly

100

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The development of smart mobility initiatives requires specialized and contextualized policies addressing the needs and interests of many stakeholders involved. Since the development of such policies is challenging, there is a need to learn from the experience of many cities around the world offering efficient and successfully adopted smart mobility services. However, in practice, the information provided about such initiatives is shallow and unstructured. To address this issue, we study the state of the art in mobility services, reviewing scientific publications and 42 smart mobility services delivered by nine smart cities around the world, and we propose a taxonomy for planning and designing smart mobility services. The taxonomy provides a common vocabulary to discuss and share information about such services. It comprises eight dimensions: type of services, maturity level, users, applied technologies, delivery channels, benefits, beneficiaries, and common functionality. The contribution of the proposed taxonomy is to serve as a tool for guiding policy makers by identifying a spectrum of mobility services that can be provided, to whom, what technologies can be used to deliver them, and what is the delivered public value so to justify their implementation. In addition, the taxonomy can also assist researchers in further developing the domain. By identifying common functionality, it could also help Information Technology (IT) teams in building and maintaining smart mobility services. Finally, we further discuss usage scenarios of the taxonomy by policy makers, IT staff and researchers.

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Section: Type Of Service Referencesmentioning

confidence: 99%

A taxonomy for planning and designing smart mobility services

Cledou

Estévez

Barbosa

2018

Government Information Quarterly

100

View full text Add to dashboard Cite

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“…Detailing each level is beyond the scope of this article, but readers can refer to Gacias (2010) and Gacias, Cegarra, and Lopez (2010) for further details about the different variants and the procedure we used to achieve this model. Harper et al (1998) performed a task analysis of vehicle planners and noted that it was necessary both to improve positional information about vehicles for correct planning and to reduce tasks requiring the entry of large amounts of data. These recommendations have since been met by the introduction of technological changes, with companies increasingly integrating new systems such as GPS, EDI and GIS into their internal systems, and the development of support systems to aid in routing decisions and reduce time-consuming tasks.…”

Section: Insert Figure 2 About Herementioning

confidence: 99%

Implications of Technological Changes in Vehicle Routing Interfaces for Planners' Constraint Processing

Cegarra

Gacias

López

2012

Hum Ftrs & Erg Mfg Svc

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This study sought to assess the consequences of technological changes in vehicle routing interfaces for planners' constraint processing during route selection. An experiment featuring vehicle routing problems was designed to test interfaces reflecting technological changes, including automation leading to simplified interfaces and the display of multiple routes computed by algorithms. Twelve participants who had worked for a small transport company for 9 months were exposed to all these interfaces. Mental workload, performance, and decision‐making times were measured. Results revealed that automation decreases mental workload and decision times, attributable to the abridged (vs. unabridged) display of constraints on the interface. Results also showed that the perceptual (vs. analytical) display of routes greatly decreases decision times and enhances performances. Results are finally discussed in terms of information reliance, automation accuracy, and graphical forms tailored to meet genuine support needs. © 2012 Wiley Periodicals, Inc.

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“…As input-output devices become more and more complex, then human-machine interfaces (HMIs) also become more complex and as such can lead to driver distraction as he/she concentrates on which function to use and this can cause traffic accidents. Today HMI studies can often be considered as human factor studies and there is a need for comprehensive test processes to assess the functional aspects of the telematics units, together with the influence of the driver's reactions and driving manner on the overall safety of the system [4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Development of a driving simulator for telematics human—machine interface studies

Koo

Bae

et al. 2008

Proceedings of the Institution of Mechanical Engineers, Part D:

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Driving simulators are useful tools not only to test the components of future cars but also to evaluate the telematics service and HMI (Human-Machine Interface). However driving simulators cannot be implemented to test and evaluate the telematics service system because the GPS (Global Positioning System) which contains basic functional support for the telematics module do not work in the VR (virtual reality) environment. This paper presents a method to implement telematics service to a driving simulator by developing the GPS simulator which is able to emulate GPS satellite signals consist of NMEA-0183 protocol and RS232C communication standards. It is expected that the driving simulator with the GPS simulator can be used to study HMI and human-factor evaluations of the commercial telematics system to realize the HiLES (Human-in-the-Loop Evaluation System).

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Human factors in technology replacement: a case study in interface design for a public transport monitoring system

Cited by 9 publications

References 6 publications

A taxonomy for planning and designing smart mobility services

A taxonomy for planning and designing smart mobility services

Implications of Technological Changes in Vehicle Routing Interfaces for Planners' Constraint Processing

Development of a driving simulator for telematics human—machine interface studies

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