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Comparison of child-human and child-computer interactions based on manual annotations

Published: 05 November 2009 Publication History
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  • Abstract

    Technological advancements in recent years have been accompanied by a notable increase in research related to conversational child-machine interfaces. The technology has many applications from entertainment to education. In order to integrate this technology successfully we, however, need to understand the key differences (if any exist) in how children interact with machines versus how they interact with humans. Such knowledge could inform the design of more child-appropriate interfaces as well as highlight any distinct characteristics of child-computer interactions that may be crucial for specific applications. In this paper, we analyze a subset of the Little CHIMP corpus, in which preschool aged children have a series of conversations with a human moderator and a Wizard-of-Oz controlled computer character. We first manually transcribed and annotated the data using an objective audio-visual behavior coding scheme. We next extracted features exemplifying language and social communication from these transcriptions and annotations and performed statistical hypothesis tests comparing the child-human and child-computer interactions. Finally, we discuss the differences between these two dyadic conversations.

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    cover image ACM Conferences
    WOCCI '09: Proceedings of the 2nd Workshop on Child, Computer and Interaction
    November 2009
    111 pages
    ISBN:9781605586908
    DOI:10.1145/1640377
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Published: 05 November 2009

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    Author Tags

    1. Little CHIMP
    2. audio-video analysis
    3. child-adult vs. child-machine interactions
    4. embodied conversational agent
    5. human annotation

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    • (2019)Lights, Music, Stamps! Evaluating Mealtime Tangibles for PreschoolersProceedings of the Thirteenth International Conference on Tangible, Embedded, and Embodied Interaction10.1145/3294109.3295645(127-134)Online publication date: 17-Mar-2019
    • (2018)Comparison of Approaches Made to Enhance Pupils’ Numeracy SkillRecent Advances on Soft Computing and Data Mining10.1007/978-3-319-72550-5_38(396-405)Online publication date: 12-Jan-2018
    • (2017)Interactive narration with a child: impact of prosody and facial expressionsProceedings of the 19th ACM International Conference on Multimodal Interaction10.1145/3136755.3136797(23-31)Online publication date: 3-Nov-2017
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    • (2016)Hand Gesture and Mathematics Learning: Lessons From an AvatarCognitive Science10.1111/cogs.1234441:2(518-535)Online publication date: 29-Apr-2016
    • (2014)Conversing with childrenProceedings of the SIGCHI Conference on Human Factors in Computing Systems10.1145/2556288.2557280(1787-1796)Online publication date: 26-Apr-2014
    • (2013)Fun and fairProceedings of the 12th International Conference on Interaction Design and Children10.1145/2485760.2485800(352-355)Online publication date: 24-Jun-2013
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