SmartKom-Mobile Car: User Interaction with Mobile Services in a Car Environment

Berton, André; Bühler, Dirk; Minker, Wolfgang

doi:10.1007/3-540-36678-4_33

Cited by 15 publications

(10 citation statements)

References 2 publications

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“…An investigation of communicative modalities in relation to cars with mobile devices was presented in [9]. The mode of interaction is influenced by the number of displayed controls at a time and their complexity.…”

Section: Mobile Application Quality Characteristicsmentioning

confidence: 99%

An aggregate indicator for mobile application quality assessment

Pocatilu¹,

Ivan²,

Zamfiroiu³

et al. 2015

Turk J Elec Eng & Comp Sci

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Abstract:The mobile applications environment has a multitude of particularities generated by the complex system of devices, hardware, and software profiles and categories of users. The mobile industry has also evolved rapidly in the last 5 years from single-core mobile platforms to multiple-core mobile application platforms, able to compete in terms of user services with notebooks. New types of devices, like tablets, or shifts in human-computer interface paradigms from button click to screen touch, have opened new perspectives both for users and software developers. This requires an adaptable approach for performance analysis in terms of total quality management for software projects. In this context, quality is analyzed from the viewpoints of developers, of users and, respectively, of one who aims to recover an investment. This paper proposes a mobile application quality estimation model that requires the identification of features such as mode of interaction, command speeds, interaction time, drivability, volume of provided information, error management, selfhealing, integrability, data security, transaction security, coefficients determining importance and building an aggregate indicator, and which properties should be highlighted for ensuring usability in a practical environment. The indicator is integrated in a quality metric used to assess mobile applications' quality. Emphasizing the usefulness of the indicator is done on a representative set of mobile computing applications. The paper proposes a set of indicators normalized on the [0; 1] interval used to measure the application quality level.

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Section: Mobile Application Quality Characteristicsmentioning

confidence: 99%

An aggregate indicator for mobile application quality assessment

Pocatilu¹,

Ivan²,

Zamfiroiu³

et al. 2015

Turk J Elec Eng & Comp Sci

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“…We address this issue of design and development by focusing on dialogue and multimodal presentation strategies for natural dialogue systems. For outputs, a natural dialogue [13] implies flexibility of interaction [1] capability to generate cooperative responses and adequacy of the response style. Experimental studies have shown that the presentation of the answer modifies the user's perception and behaviour as well as the entire interaction [5] highlighting the key role of the multimodal presentation.…”

Section: Introductionmentioning

confidence: 99%

Natural multimodal dialogue systems

Horchani

Caron

Nigay

et al. 2007

Proceedings of the 9th International Conference on Multimodal Interfaces

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In the context of natural multimodal dialogue systems, we address the challenging issue of the definition of cooperative answers in an appropriate multimodal form. Highlighting the intertwined relation of multimodal outputs with the content, we focus on the Dialogic strategy component, a component that defines from the set of possible contents to answer a user's request, the content to be presented to the user and its multimodal presentation. The content selection and the presentation allocation managed by the Dialogic strategy component are based on various constraints such as the availability of a modality and the user's preferences. Considering three generic types of dialogue strategies and their corresponding handled types of information as well as three generic types of presentation tasks, we present a first implementation of the Dialogic strategy component based on rules. By providing a graphical interface to configure the component by editing the rules, we show how the component can be easily modified by ergonomists at design time for exploring different solutions. In further work we envision letting the user modify the component at runtime.

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“…Moreover, assessment of user requirements from multimodal interfaces in a car environment has shown that when the car is moving the system should switch to the "speech-only" interaction mode, as any other safety risks (i.e. driver distraction from the driving task by gesture input or graphical output) must be avoided [2].…”

Section: Introductionmentioning

confidence: 99%

Performance Evaluation of a Speech Interface for Motorcycle Environment

Mporas

Ganchev

Kocsis

et al. 2009

IFIP Advances in Information and Communication Technology

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In the present work we investigate the performance of a number of traditional and recent speech enhancement algorithms in the adverse non-stationary conditions, which are distinctive for motorcycle on the move. The performance of these algorithms is ranked in terms of the improvement they contribute to the speech recognition rate, when compared to the baseline result, i.e. without speech enhancement. The experimentations on the MoveOn motorcycle speech and noise database suggested that there is no equivalence between the ranking of algorithms based on the human perception of speech quality and the speech recognition performance. The Multi-band spectral subtraction method was observed to lead to the highest speech recognition performance.

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SmartKom-Mobile Car: User Interaction with Mobile Services in a Car Environment

Cited by 15 publications

References 2 publications

An aggregate indicator for mobile application quality assessment

An aggregate indicator for mobile application quality assessment

Natural multimodal dialogue systems

Performance Evaluation of a Speech Interface for Motorcycle Environment

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