Limited Domain Synthesis of Expressive Military Speech for Animated Characters

Johnson, W. L.; Narayanan, Shrikanth; Whitney, R. W.; Das, Rajat K.; LaBore, Catherine

doi:10.21236/ada459392

Cited by 3 publications

(3 citation statements)

References 3 publications

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“…2006). Johnson et al. (2002a) note that although natural sounding and expressive synthetic voices are important to match the lifelike appearance of virtual characters, domain‐dependent factors necessitate further voice granulation.…”

Section: Pedagogical Agent Expressivenessmentioning

confidence: 99%

The impact and implications of virtual character expressiveness on learning and agent–learner interactions

Veletsianos

2009

Computer Assisted Learning

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The possible benefits of agent expressiveness have been highlighted in previous literature; yet, the issue of verbal expressiveness has been left unexplored. I hypothesize that agent verbal expressiveness may improve the interaction between pedagogical agents and learners, ultimately enhancing learning outcomes. Evidence from a quasi-experimental investigation, indicates that learners who interacted with an expressive agent (a) scored higher on a post-task exam, and (b) rated the agent's ability to interact higher, than learners who interacted with a non-expressive agent. Qualitative results provided insight into this finding, while indicating the complexity of deploying pedagogical agents in educational settings.

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Section: Pedagogical Agent Expressivenessmentioning

confidence: 99%

The impact and implications of virtual character expressiveness on learning and agent–learner interactions

Veletsianos

2009

Computer Assisted Learning

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“…As another example, graphical facial expressions are often interpreted in ways other than what was intended by the system designers [26]. As a first step towards a more comprehensive evaluation, we are engaged in a number of studies to get baseline understanding of external behavior [27].…”

Section: Comments and Issuesmentioning

confidence: 99%

Modeling coping behavior in virtual humans

Marsella

Gratch

2003

Proceedings of the Second International Joint Conference on Autonomous Agents and Multiagent Systems

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This article builds on insights into how humans cope with emotion to guide the design of virtual humans. Although coping is increasingly viewed in the psychological literature as having a central role in human adaptive behavior, it has been largely ignored in computational models of emotion. In this paper, we show how psychological research on the interplay between human emotion, cognition and coping behavior can serve as a central organizing principle for the behavior of human-like autonomous agents. We present a detailed domain-independent model of coping based on this framework that significantly extends our previous work. We argue that this perspective provides novel insights into realizing adaptive behavior.

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“…This is a persistent problem, and one that definitely must be addressed in a guidebot that is capable of a generating a rich variety of utterances. To address this problem, we have been developing a new speech synthesis technique, based upon unit selection, that is capable of generating high-quality expressive speech suitable for education and training settings [9]. These techniques should be able to improve the acceptability of guidebots such as Adele.…”

Section: Student: More…mentioning

confidence: 99%

Evolution of user interaction

Johnson

Shaw

Marshall

et al. 2003

Proceedings of the 8th International Conference on Intelligent User Interfaces

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Animated pedagogical agents offer promise as a means of making computer-aided learning more engaging and effective. To achieve this, an agent must be able to interact with the learner in a manner that appears believable, and that furthers the pedagogical goals of the learning environment. In this paper we describe how the user interaction model of one pedagogical agent evolved through an iterative process of design and user testing. The pedagogical agent Adele assists students as they assess and diagnose medical and dental patients in clinical settings. We describe the results of, and our responses to, three studies of Adele, involving over two hundred and fifty medical and dental students over five years, that have led to an improved tutoring strategy, and discuss the interaction possibilities of two different reasoning engines. With the benefit of hindsight, the paper articulates the principles that govern effective user-agent interaction in educational contexts, and describes how the agent's interaction design in its current form embodies those principles.

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Limited Domain Synthesis of Expressive Military Speech for Animated Characters

Cited by 3 publications

References 3 publications

The impact and implications of virtual character expressiveness on learning and agent–learner interactions

The impact and implications of virtual character expressiveness on learning and agent–learner interactions

Modeling coping behavior in virtual humans

Evolution of user interaction

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