Cognitive infocommunications: CogInfoCom

Bárányi, Péter; Csapó, Ádám

doi:10.1109/cinti.2010.5672257

Cited by 107 publications

(25 citation statements)

References 28 publications

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“…We differentiate between performance measures (1)(2)(3)(4), and qualitative measures (5-8) that address the participants perceptions about the performance of the systems.…”

Section: Motivation and Methodsmentioning

confidence: 99%

“…This allows cognitive resources to be allocated for other writing sub-processes, such as planning the text-to-beproduced, and revising the text that has been already produced. An ASR-based dictation system can be regarded as an application that facilitates inter-cognitive representation-bridging communication [1] as it mixes written and spoken form of natural languages, and may extend human cognitive capacities by letting the user focus on text production alone, without the hassle of typing. It also invites the main benefits of computer writing, namely non-linearity in the writing process.…”

Section: Introductionmentioning

confidence: 99%

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Writing with speech: A qualitative user evaluation study

Szabo

Tarján

Mihajlik

2014

2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)

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This paper explores qualitative aspects of evaluating automatic speech recognition (ASR) based dictation. We propose an evaluation method of ASR-based dictation from the point of view of the user. To gather data for the study, we conducted experiments with possible target users (n = 6), asking them to compose the same text using ASR-based dictation software for the Hungarian language, and to repeat the same task using three different ASR systems. An inherent part of this task is correcting errors made by the system.We found that users who had less experience with ASR, are biased towards keyboard & mouse writing mode, the one that they were more familiar with. Moreover, they overestimate the duration of text production using speech (ASR-based dictation) as a writing mode, when compared to keyboard & mouse writing mode. As expected, higher number of errors in the ASR output lead to longer error correction time, but somewhat surprisingly, longer edit time is in negative correlation with the number of errors left in the corrected text. That is, even if the time taken for correcting ASR errors was longer, the quality of the corrected text was worse than the one of the system with low recognition errors.

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“…We differentiate between performance measures (1)(2)(3)(4), and qualitative measures (5-8) that address the participants perceptions about the performance of the systems.…”

Section: Motivation and Methodsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Writing with speech: A qualitative user evaluation study

Szabo

Tarján

Mihajlik

2014

2014 5th IEEE Conference on Cognitive Infocommunications (CogInfoCom)

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“…The widespread integration of these technological possibilities in state-of-the-art applications is leading to the emergence of new fields of study, such as cognitive infocommunications (CogInfoCom) [58][59][60]4]. An important goal in such fields is to gain a complete understanding of the ways in which human cognition can contribute to, and at the same time is affected by ICT applications.…”

Section: Tight Feedback Loops For Adaptive Communicationmentioning

confidence: 99%

Design, programming and orchestration of heterogeneous manufacturing systems through VR-powered remote collaboration

Galambos

Csapó

Zentay

et al. 2015

Robotics and Computer-Integrated Manufacturing

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“…This choice does not limit the believability of the interface because the human mind has the capability of abstracting (making the semantics independent from a specific formal instance representation [61] virtual assistant represents a forceful motivator able to simulate empathy towards the patient according to an affective computing approach [62,63].…”

Section: Correction and Motivationmentioning

confidence: 99%

A virtual reality system for strengthening awareness and participation in rehabilitation for post-stroke patients

Mottura

Fontana

Arlati

et al. 2015

J Multimodal User Interfaces

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This paper presents a system called REAPP, a virtual environment aiming at supporting upper-limb robotic neurorehabilitation for post-stroke patients. In the last few years different systems using either or both virtual environments and robots have been developed. However, such advanced systems often lack attention on the physical and psychological conditions perceived by the patient, who should be the key focus in therapies. In this context, REAPP aims not to be just an entertaining interface but also a means to investigate patients' feelings toward the therapy and to enhance their self-perception while performing the rehabilitation exercises. Before and after the rehabilitation session the patients are inquired about their emotional state, their physical condition and a self-evaluation of the performance is done. While performing the exercises patients look at a 2D/3D interface which has the aim of enhancing their self-awareness by showing them, through an avatar, the movements they are doing. Widgets and a virtual assistant provide additional feedback about the quality of the movements which is computed through a specifically developed B Stefano Mottura arm model that can be customized on the residual capabilities of each patient.

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Cognitive infocommunications: CogInfoCom

Cited by 107 publications

References 28 publications

Writing with speech: A qualitative user evaluation study

Writing with speech: A qualitative user evaluation study

Design, programming and orchestration of heterogeneous manufacturing systems through VR-powered remote collaboration

A virtual reality system for strengthening awareness and participation in rehabilitation for post-stroke patients

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