Intersection Traffic Light Assistant – An Evaluation of the Suitability of two Human Machine Interfaces

Winzer, Oliver M.; Conti-Kufner, Antonia S.; Bengler, Klaus

doi:10.1109/itsc.2018.8569708

Cited by 5 publications

(1 citation statement)

References 4 publications

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“…They aim to realize smooth motion of cars in the transportation routes. HMIs are being introduced into the traffic light control systems that allows operators to remotely monitor and control all activities of a traffic light system [40]. In this case study, a traffic signal HMI widget is used at the junction of four roads to control traffic remotely.…”

Section: Traffic Light Control Systemmentioning

confidence: 99%

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

et al. 2020

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With the advent of software technologies, over a period of time, the Industrial Control Systems (ICSs) have grown exponentially. Whereas, almost all ICSs comprise Human Machine Interfaces (HMIs), which are the key component for monitoring and controlling complex industrial systems. For decades, traditional HMIs with simple User Interfaces (UIs) remained operational to minimize the complexities and resulting operational costs. However, due to the emergence of smartphone technologies, the perception about user interfaces has been transformed significantly and users now demand same sort of experience with industrial HMIs, as well. There are few industrial solutions, like, ICONICS GraphWorX to support the development of mobile HMI screens. However, such proprietary solutions are quite expensive. Furthermore, the underlying development approaches and source codes are not accessible in public domain. On the other hand, the state-of-the-art approaches for the development of native mobile HMI screens are hard to find in the literature. Consequently, there is dire need of a cost-effective, easy to use, open source framework for the development of native mobile HMI screens. In order to achieve this goal, here we propose, a Model-driven Mobile HMI Framework (MMHF). MMHF comprises, a Unified Modeling Language (UML) Profile for Mobile HMI (UMLPMH) for modeling of HMI screens. MMHF also includes, an open source transformation engine and a Model Driven Mobile-based HMI Code Generator (MDMHCG) to automatically transform UMLPMH models into target native mobile HMI implementations. Consequently, MMHF enables simpler way to design the HMI screens using UMLPMH and generates native Mobile HMI Screen implementations automatically using MDMHCG. The empirical evidence of MMHF is demonstrated through three (3) benchmark case studies, which prove that the MMHF is a feasible, cost effective and scalable solution to develop native HMI screens for wide-ranging ICSs. INDEX TERMS Human machine interface, mobile HMI, model driven engineering, unified modeling language, industrial control system, industry automation, Internet of Things (IoT).

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Section: Traffic Light Control Systemmentioning

confidence: 99%

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

et al. 2020

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A comprehensive survey on communication techniques for the realization of intelligent transportation systems in IoT based smart cities

Rajkumar,

Santhosh Kumar

2024

Peer-to-Peer Netw. Appl.

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A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature Review

Jansen

Colley

Rukzio

2022

Proc. ACM Interact. Mob. Wearable Ubiquitous Technol.

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Automotive user interfaces constantly change due to increasing automation, novel features, additional applications, and user demands. While in-vehicle interaction can utilize numerous promising modalities, no existing overview includes an extensive set of human sensors and actuators and interaction locations throughout the vehicle interior. We conducted a systematic literature review of 327 publications leading to a design space for in-vehicle interaction that outlines existing and lack of work regarding input and output modalities, locations, and multimodal interaction. To investigate user acceptance of possible modalities and locations inferred from existing work and gaps unveiled in our design space, we conducted an online study (N=48). The study revealed users' general acceptance of novel modalities (e.g., brain or thermal activity) and interaction with locations other than the front (e.g., seat or table). Our work helps practitioners evaluate key design decisions, exploit trends, and explore new areas in the domain of in-vehicle interaction.

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Intersection Traffic Light Assistant – An Evaluation of the Suitability of two Human Machine Interfaces

Cited by 5 publications

References 4 publications

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

A Model-Driven Mobile HMI Framework (MMHF) for Industrial Control Systems

A comprehensive survey on communication techniques for the realization of intelligent transportation systems in IoT based smart cities

A Design Space for Human Sensor and Actuator Focused In-Vehicle Interaction Based on a Systematic Literature Review

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