Miscommunication

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Shuyin Li - One of the best experts on this subject based on the ideXlab platform.

  • IROS - Integrating Miscommunication Analysis in Natural Language Interface Design for a Service Robot
    2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006
    Co-Authors: Anders Green, Kerstin Severinson Eklundh, Britta Wrede, Shuyin Li
    Abstract:

    Natural language user interfaces for robots with cognitive capabilities should be designed to reduce the occurrence of Miscommunication in order to be perceived as providing a smooth and intuitive interaction to its users. This paper describes how Miscommunication analysis is integrated in the design process. Observations from 12 user sessions revealed that users misunderstand the robot's functionality; and that feedback sometimes is ill-timed with respect to the situation. We provide a set of design implications to prevent errors from occurring, to influence or adapt to users' behavior.

  • Integrating Miscommunication Analysis in Natural Language Interface Design for a Service Robot
    2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006
    Co-Authors: Anders Green, Kerstin Severinson Eklundh, Britta Wrede, Shuyin Li
    Abstract:

    Natural language user interfaces for robots with cognitive capabilities should be designed to reduce the occurrence of Miscommunication in order to be perceived as providing a smooth and intuitive interaction to its users. This paper describes how Miscommunication analysis is integrated in the design process. Observations from 12 user sessions revealed that users misunderstand the robot's functionality; and that feedback sometimes is ill-timed with respect to the situation. We provide a set of design implications to prevent errors from occurring, to influence or adapt to users' behavior

Anders Green - One of the best experts on this subject based on the ideXlab platform.

  • The Need for a Model of Contact and Perception to Support Natural Interactivity in Human-Robot Communication
    RO-MAN 2007 - The 16th IEEE International Symposium on Robot and Human Interactive Communication, 2007
    Co-Authors: Anders Green
    Abstract:

    In studies of human-robot communication we have observed that the robot's inability to give appropriate communicative feedback for contact and perception causes Miscommunication [2]. The purpose of this paper is to motivate the need for and give an initial characterisation of a model for communicative contact and perception feedback. One component of a such a model could be a kind of low-level user model aiming to decide the perceptual status of the user. We have analysed an example of interaction that shows signs of Miscommunication that is related to feedback problems concerning contact and perception. Using the analysis to pinpoint the source of these problems we provide an initial account for the type of information sources that a low-level user that handles communicative contact and perception feedback should comprise. We also provide two design examples that in our view motivates this explorative effort.

  • IROS - Integrating Miscommunication Analysis in Natural Language Interface Design for a Service Robot
    2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006
    Co-Authors: Anders Green, Kerstin Severinson Eklundh, Britta Wrede, Shuyin Li
    Abstract:

    Natural language user interfaces for robots with cognitive capabilities should be designed to reduce the occurrence of Miscommunication in order to be perceived as providing a smooth and intuitive interaction to its users. This paper describes how Miscommunication analysis is integrated in the design process. Observations from 12 user sessions revealed that users misunderstand the robot's functionality; and that feedback sometimes is ill-timed with respect to the situation. We provide a set of design implications to prevent errors from occurring, to influence or adapt to users' behavior.

  • Integrating Miscommunication Analysis in Natural Language Interface Design for a Service Robot
    2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006
    Co-Authors: Anders Green, Kerstin Severinson Eklundh, Britta Wrede, Shuyin Li
    Abstract:

    Natural language user interfaces for robots with cognitive capabilities should be designed to reduce the occurrence of Miscommunication in order to be perceived as providing a smooth and intuitive interaction to its users. This paper describes how Miscommunication analysis is integrated in the design process. Observations from 12 user sessions revealed that users misunderstand the robot's functionality; and that feedback sometimes is ill-timed with respect to the situation. We provide a set of design implications to prevent errors from occurring, to influence or adapt to users' behavior

Ronnie W. Smith - One of the best experts on this subject based on the ideXlab platform.

  • An evaluation of strategies for selectively verifying utterance meanings in spoken natural language dialog
    International Journal of Human Computer Studies, 1998
    Co-Authors: Ronnie W. Smith
    Abstract:

    As with human-human interaction, spoken human-computer dialog will contain situations where there is Miscommunication. One natural strategy for reducing the impact of Miscommunication is selective verification of the user utterance meanings. This paper reports on both context-independent and context-dependent strategies for utterance verification that show that the use of dialog context can be very helpful in selecting which utterances to verify. Simulations with data collected during experimental trials with the Circuit Fix-It Shop spoken natural language dialog system are used in the analysis. In addition, the performance of various selection strategies is measured separately for computer-controlled and user-controlled dialogs and general guidelines for selecting an appropriate strategy are presented. © 1998 Academic Press Limited.

  • ANLP - An Evaluation of Strategies for Selective Utterance Verification for Spoken Natural Language Dialog
    Proceedings of the fifth conference on Applied natural language processing -, 1997
    Co-Authors: Ronnie W. Smith
    Abstract:

    As with human-human interaction, spoken human-computer dialog will contain situations where there is Miscommunication. In experimental trials consisting of eight different users, 141 problem-solving dialogs, and 2840 user utterances, the Circuit Fix-It Shop natural language dialog system misinterpreted 18.5% of user utterances. These Miscommunications created various problems for the dialog interaction, ranging from repetitive dialog to experimenter intervention to occasional failure of the dialog. One natural strategy for reducing the impact of Miscommunication is selective verification of the user's utterances. This paper reports on both context-independent and context-dependent strategies for utterance verification that show that the use of dialog context is crucial for intelligent selection of which utterances to verify.

  • An evaluation of strategies for selective utterance verification for spoken natural language dialog
    Proceedings of the fifth conference on Applied natural language processing -, 1997
    Co-Authors: Ronnie W. Smith
    Abstract:

    As with human-human interaction, spoken human-computer dialog will contain situations where there is Miscommunication. One natural strategy for reducing the impact of Miscommunication is selective verification of the user utterance meanings. This paper reports on both context-independent and context-dependent strategies for utterance verification that show that the use of dialog context can be very helpful in selecting which utterances to verify. Simulations with data collected during experimental trials with the Circuit Fix-It Shop spoken natural language dialog system are used in the analysis. In addition, the performance of various selection strategies is measured separately for computer-controlled and user-controlled dialogs and general guidelines for selecting an appropriate strategy are presented. © 1998 Academic Press Limited.

Martin Buss - One of the best experts on this subject based on the ideXlab platform.

  • RO-MAN - Towards a dialog strategy for handling Miscommunication in human-robot dialog
    19th International Symposium in Robot and Human Interactive Communication, 2010
    Co-Authors: Barbara Gonsior, Dirk Wollherr, Martin Buss
    Abstract:

    This paper presents a first theoretical framework for a dialog strategy handling Miscommunication in natural language Human-Robot Interaction (HRI). On the one hand the dialog strategy is deduced from findings about human-human communication patterns and coping strategies for Miscommunication. On the other hand, relevant cognitive theories concerning human perception serve as a conceptual basis for the dialog strategy. The novel approach is firstly to combine these communication patterns with coping strategies and cognitive theories from human-human interaction (HHI) and secondly transfer them to HRI as a general dialog strategy for handling Miscommunication. The presented approach is applicable to any task-oriented dialog. In a first step the conversational context is confined to route descriptions, given that asking for directions is an restricted but nevertheless challenging example for task-oriented dialog between humans and a robot.

  • Towards a dialog strategy for handling Miscommunication in human-robot dialog
    Proceedings - IEEE International Workshop on Robot and Human Interactive Communication, 2010
    Co-Authors: Barbara Gonsior, Dirk Wollherr, Martin Buss
    Abstract:

    This paper presents a first theoretical framework for a dialog strategy handling Miscommunication in natural language Human-Robot Interaction (HRI). On the one hand the dialog strategy is deduced from findings about humanhuman communication patterns and coping strategies for Miscommunication. On the other hand, relevant cognitive theories concerning human perception serve as a conceptual basis for the dialog strategy. The novel approach is firstly to combine these communication patterns with coping strategies and cognitive theories from human-human interaction (HHI) and secondly transfer them to HRI as a general dialog strategy for handling Miscommunication. The presented approach is applicable to any task-oriented dialog. In a first step the conversational context is confined to route descriptions, given that asking for directions is an restricted but nevertheless challenging example for taskoriented dialog between humans and a robot. ? 2010 IEEE.

Kerstin Severinson Eklundh - One of the best experts on this subject based on the ideXlab platform.

  • IROS - Integrating Miscommunication Analysis in Natural Language Interface Design for a Service Robot
    2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006
    Co-Authors: Anders Green, Kerstin Severinson Eklundh, Britta Wrede, Shuyin Li
    Abstract:

    Natural language user interfaces for robots with cognitive capabilities should be designed to reduce the occurrence of Miscommunication in order to be perceived as providing a smooth and intuitive interaction to its users. This paper describes how Miscommunication analysis is integrated in the design process. Observations from 12 user sessions revealed that users misunderstand the robot's functionality; and that feedback sometimes is ill-timed with respect to the situation. We provide a set of design implications to prevent errors from occurring, to influence or adapt to users' behavior.

  • Integrating Miscommunication Analysis in Natural Language Interface Design for a Service Robot
    2006 IEEE RSJ International Conference on Intelligent Robots and Systems, 2006
    Co-Authors: Anders Green, Kerstin Severinson Eklundh, Britta Wrede, Shuyin Li
    Abstract:

    Natural language user interfaces for robots with cognitive capabilities should be designed to reduce the occurrence of Miscommunication in order to be perceived as providing a smooth and intuitive interaction to its users. This paper describes how Miscommunication analysis is integrated in the design process. Observations from 12 user sessions revealed that users misunderstand the robot's functionality; and that feedback sometimes is ill-timed with respect to the situation. We provide a set of design implications to prevent errors from occurring, to influence or adapt to users' behavior

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