Multi-function in-vehicle interfaces are an increasingly common feature in automobiles. Over the past several years, these interfaces have taken on an ever-greater number of functions and the ways in which drivers interact with information have become more complex. Parallel with these technical developments, interest in ensuring that these systems minimize demand placed upon the driver has also increased. Voice command capability has become a popular and desirable feature, as interacting with a vehicle interface through auditory/vocal interactions is often hypothesized to allow the driver to keep their eyes on the road and hands on the wheel. However, research has shown that production level voice command systems may still impart considerable visual demands on the driver [18]. These demands might be due in part to screen displays associated with extensive confirmatory dialogue and the driver's desire for visual confirmation that commands were accurately recognized. This study extends this work by comparing the default mode of a production voice system with an "Expert" mode which streamlines tasks by removing several confirmatory steps. We found that, although the use of the Expert mode significantly reduces overall task completion time, it has no appreciable effect on the amount of visual engagement; drivers still glance off the road for durations that are consistent with the Default mode. Implications for interface design and driver safety are discussed.
Current systems engineering efforts are increasingly driven by trade-offs and limitations imposed by multiple factors: Growing product complexity as well as stricter regulatory requirements in domains such as automotive or aviation necessitate advanced design and development methods. At the core of these influencing factors lies a consideration of competing non-functional concerns, such as safety and reliability, performance, and the fulfillment of quality requirements. In an attempt to cope with these aspects, incremental evolution of model-based engineering practice has produced heterogeneous tool environments without proper integration and exchange of design artifacts. In order to overcome these shortcomings of current engineering practice, we propose a holistic, model-based architecture and analysis framework for seamless design, analysis, and evolution of integrated system models. We describe how heterogeneous domain-specific modeling languages can be embedded into a common general-purpose model in order to facilitate the integration between previously disjoint design artifacts. A case study demonstrates the suitability of this methodology for the design of a safety-critical embedded system, a hypothetical gas heating, with respect to reliability engineering and further quality assurance activities.
Development of embedded systems depends on both software and hardware design activities. Quality management of development artifacts is of crucial importance for the overall function and safety of the final product. This paper introduces a metamodel and model-based approach and accompanying domain-specific language for validation of electronic circuit designs. The solution does not depend on any particular electronic design automation (EDA) software, instead we propose a workflow that is integrated into a modular, general-purpose model analysis framework. The paper illustrates both the underlying concepts as well as possible application scenarios for the developed validation domain-specific language, MBDRC (Model-Based Design Rule Checking). It also discusses fields for further research and transfer of the initial results. Outline Section 2 discusses related work, regarding both the domain of electronic design automation and the metamodeling and analysis approaches shown in this paper. We introduce a metamodel for Rumpold A. and Bauer B. A Metamodel and Model-based Design Rule Checking DSL for Verification and Validation of Electronic Circuit Designs.
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