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- keynoteOctober 2020
Augment Machine Intelligence with Multimodal Information
MuCAI ?20: Proceedings of the 1st International Workshop on Multimodal Conversational AIPages 1–2https://doi.org/10.1145/3423325.3424123Humans interact with other humans or the world through information from various channels including vision, audio, language, haptics, etc. To simulate intelligence, machines require similar abilities to process and combine information from different ...
- abstractApril 2020
Revisiting Habitability in Conversational Systems
CHI EA '20: Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing SystemsPages 1–8https://doi.org/10.1145/3334480.3383014Conversational systems are inherently disadvantaged when indicating either what capabilities they have or the state they are in. The notion of habitability, the appropriate balancing in design between the language people use and the language a system can ...
- posterMarch 2020
Towards Naturally Responsive Spoken Dialog Systems by Modelling Pragmatic-Prosody Correlations of Discourse Markers
IUI '20 Companion: Companion Proceedings of the 25th International Conference on Intelligent User InterfacesPages 128–129https://doi.org/10.1145/3379336.3381490Human speakers in a dialog adapt their responses and the way they convey them to their interlocutors by appropriately tuning their prosody, taking into account the context in which the dialog takes place. Today's spoken dialog systems are incapable of ...
- short-paperJune 2019
Linguistic Design of In-Vehicle Prompts in Adaptive Dialog Systems: An Analysis of Potential Factors Involved in the Perception of Naturalness
UMAP '19: Proceedings of the 27th ACM Conference on User Modeling, Adaptation and PersonalizationPages 191–195https://doi.org/10.1145/3320435.3320469Against the background of current trends towards natural and adaptive in-vehicle Spoken Dialog Systems, this paper aims at evaluating potential factors involved in the perception of naturalness and comprehensibility of system prompts. By conducting an ...
- research-articleJune 2019
Assessing Objective Indicators of Users' Cognitive Load During Proactive In-Car Dialogs
UMAP'19 Adjunct: Adjunct Publication of the 27th Conference on User Modeling, Adaptation and PersonalizationPages 87–91https://doi.org/10.1145/3314183.3324985Using Personal Assistants (PAs) via voice becomes increasingly usual as more and more devices in different environments offer this capability, such as Google Assistant, Amazon Alexa, Apple Siri, Microsoft Cortana, Mercedes-Benz MBUX or BMW Intelligent ...
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- research-articleJune 2019
Data generation approaches for topic classification in multilingual spoken dialog systems
PETRA '19: Proceedings of the 12th ACM International Conference on PErvasive Technologies Related to Assistive EnvironmentsPages 211–217https://doi.org/10.1145/3316782.3316792The conception of spoken-dialog systems (SDS) usually faces the problem of extending or adapting the system to multiple languages. This implies the creation of modules specifically for the new languages, which is a time consuming process. In this paper, ...
- abstractOctober 2018
3rd International Workshop on Multisensory Approaches to Human-Food Interaction
ICMI '18: Proceedings of the 20th ACM International Conference on Multimodal InteractionPages 657–659https://doi.org/10.1145/3242969.3265860This is the introduction paper to the third version of the workshop on 'Multisensory Approaches to Human-Food Interaction' organized at the 20th ACM International Conference on Multimodal Interaction in Boulder, Colorado, on October 16th, 2018. This ...
- research-articleMarch 2017
Conversational Bootstrapping and Other Tricks of a Concierge Robot
HRI '17: Proceedings of the 2017 ACM/IEEE International Conference on Human-Robot InteractionPages 73–81https://doi.org/10.1145/2909824.3020232We describe the effective use of online learning to enhance the conversational capabilities of a concierge robot that we have been developing over the last two years. The robot was designed to interact naturally with visitors and uses a speech ...
- research-articleDecember 2013
Situated multi-modal dialog system in vehicles
GazeIn '13: Proceedings of the 6th workshop on Eye gaze in intelligent human machine interaction: gaze in multimodal interactionPages 25–28https://doi.org/10.1145/2535948.2535951In this paper, we address Townsurfer, a situated multi-modal dialog system in vehicles. The system integrates multi-modal inputs of speech, geo-location, gaze (face direction) and dialog history to answer drivers' queries about their surroundings. To ...
- research-articleOctober 2012
Are mobile in-car communication systems feasible?: a usability study
SAICSIT '12: Proceedings of the South African Institute for Computer Scientists and Information Technologists ConferencePages 262–269https://doi.org/10.1145/2389836.2389867The issue of driver distraction remains critical despite efforts that aim to reduce its effects. In-Car Communication Systems (ICCS) were introduced to address visual and manual distraction occurring when using a mobile phone whilst driving. ICCS ...
- ArticleApril 2012
Incorporating ASR information in spoken dialog system confidence score
PROPOR'12: Proceedings of the 10th international conference on Computational Processing of the Portuguese LanguagePages 403–408https://doi.org/10.1007/978-3-642-28885-2_45The reliability of the confidence score is very important in Spoken Dialog System performance. This paper describes a set of experiments with previously collected off-line data, regarding the set of features that should be used in the computation of the ...
- ArticleNovember 2011
An active learning approach for statistical spoken language understanding
CIARP'11: Proceedings of the 16th Iberoamerican Congress conference on Progress in Pattern Recognition, Image Analysis, Computer Vision, and ApplicationsPages 565–572https://doi.org/10.1007/978-3-642-25085-9_67In general, large amount of segmented and labeled data is needed to estimate statistical language understanding systems. In recent years, different approaches have been proposed to reduce the segmentation and labeling effort by means of unsupervised o ...
- ArticleSeptember 2010
A Robust Semantic Parser Designed for Spoken Dialog Sytems
ICSC '10: Proceedings of the 2010 IEEE Fourth International Conference on Semantic ComputingPages 52–55https://doi.org/10.1109/ICSC.2010.22This article describes a knowledge oriented semantic parser designed for spoken dialog systems. It merges some syntactic and semantic aspects into a single frame to get robust and efficient analyses. The knowledge is entirely described withing an XML ...
- research-articleNovember 2009
Recognizing child's emotional state in problem-solving child-machine interactions
WOCCI '09: Proceedings of the 2nd Workshop on Child, Computer and InteractionArticle No.: 14, Pages 1–4https://doi.org/10.1145/1640377.1640391The need for automatic recognition of a speaker's emotion within a spoken dialog system framework has received increased attention with demand for computer interfaces that provide natural and user-adaptive spoken interaction. This paper addresses the ...
- ArticleAugust 2009
MDA-Based UI Modeling and Transformation of Spoken Dialog Systems
HIS '09: Proceedings of the 2009 Ninth International Conference on Hybrid Intelligent Systems - Volume 01Pages 47–51https://doi.org/10.1109/HIS.2009.17Traditional Model Driven Architecture (MDA) approaches to software application development are appropriate for building systems with visual user interfaces. However, they are not suitable for designing of dialog systems. A more effective approach to ...
- ArticleJuly 2009
Evaluation of a Voice-Based Internet Browser with Untrained and Trained Users
UAHCI '09: Proceedings of the 5th International Conference on Universal Access in Human-Computer Interaction. Part III: Applications and ServicesPages 482–491https://doi.org/10.1007/978-3-642-02713-0_51In our paper, we present evaluation results for VoiceBrowse, an interactive system allowing users to access content and services from the Internet via voice control. We compare two user groups, inexperienced and experienced computer users, regarding ...
- research-articleMay 2009
Being Old Doesn’t Mean Acting Old: How Older Users Interact with Spoken Dialog Systems
ACM Transactions on Accessible Computing (TACCESS), Volume 2, Issue 1Article No.: 2, Pages 1–39https://doi.org/10.1145/1525840.1525842Most studies on adapting voice interfaces to older users work top-down by comparing the interaction behavior of older and younger users. In contrast, we present a bottom-up approach. A statistical cluster analysis of 447 appointment scheduling dialogs ...
- introductionMay 2009
Introduction to the Special Issue on Aging and Information Technology
ACM Transactions on Accessible Computing (TACCESS), Volume 2, Issue 1Article No.: 1, Pages 1–4https://doi.org/10.1145/1525840.1525841This article provides an introduction to the Special Issue on Aging.
- ArticleMarch 2023
A Statistical User Simulation Technique for the Improvement of a Spoken Dialog System
Progress in Pattern Recognition, Image Analysis and ApplicationsPages 743–752https://doi.org/10.1007/978-3-540-76725-1_77AbstractIn this paper, we present a statistical approach for the automatic generation of dialogs by means of a user simulator. This technique can be used to generate dialogs with reduced effort, facilitating the evaluation and improvement of spoken dialog ...
- ArticleNovember 2007
A statistical user simulation technique for the improvement of a spoken dialog system
In this paper, we present a statistical approach for the automatic generation of dialogs by means of a user simulator. This technique can be used to generate dialogs with reduced effort, facilitating the evaluation and improvement of spoken dialog ...