Ada and Grace: Toward Realistic and Engaging Virtual Museum Guides

Swartout, William; Traum, David; Artstein, Ron; Noren, Dan; Debevec, Paul; Bronnenkant, Kerry; Williams, Josh; Leuski, Anton; Narayanan, Shrikanth; Piepol, Diane; Lane, Chad; Morie, Jacquelyn Ford; Aggarwal, Priti; Liewer, Matt; Chiang, Jen-Yuan; Gerten, Jillian; Chu, Selina; White, Kyle

doi:10.1007/978-3-642-15892-6_30

Cited by 107 publications

(71 citation statements)

References 14 publications

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“…Some examples are virtual museum guides [2,[7][8][9], virtual historical persons [4,10]. When evaluating such systems, besides user's subjective report through questionnaires, interviews, log analysis is a very informative way to understand the actual performance of an agent, and it can also help us to have a good understanding of how users behave when interacting with the system.…”

Section: Related Workmentioning

confidence: 99%

How Do People Talk with a Virtual Philosopher: Log Analysis of a Real-World Application

Wang

Nakatsu

2013

Lecture Notes in Computer Science

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Abstract. Conversation with computers is an important form of human computer interaction. Inappropriately designed conversational agents can easily lead to unsatisfying user experience and even frustration, and this is especially true when the application is deployed in the real world. Currently, research on casual non-task oriented systems and our understanding in how people interact with such agents are still limited. To gain more insights on this issue, we carried out both quantitative and qualitative content analysis of conversation logs collected from a realworld application, featuring a non-task oriented conversational agent as a virtual philosopher. We construct a taxonomy of user utterances to the agent and discuss a few strategies that an agent might employ to provide a better user experience.

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Section: Related Workmentioning

confidence: 99%

How Do People Talk with a Virtual Philosopher: Log Analysis of a Real-World Application

Wang

Nakatsu

2013

Lecture Notes in Computer Science

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“…Given the level of detail encoded in these data, it is then possible to use the data to generate realistic images of the measured face, under arbitrary lighting and viewpoint. In our simulation, this operation is performed in real-time on modern graphics hardware, using a custom shader, as described in [18].…”

Section: Character Visualization and Animationmentioning

confidence: 99%

Developing INOTS to support interpersonal skills practice

Campbell

Core

Artstein

et al. 2011

2011 Aerospace Conference

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Abstract-The Immersive Naval Officer Training System (INOTS) is a blended learning environment that merges traditional classroom instruction with a mixed reality training setting. INOTS supports the instruction, practice and assessment of interpersonal communication skills. The goal of INOTS is to provide a consistent training experience to supplement interpersonal skills instruction for Naval officer candidates without sacrificing trainee throughput and instructor control. We developed an instructional design from cognitive task analysis interviews with experts to serve as a framework for system development. We also leveraged commercial student response technology and research technologies including natural language recognition, virtual humans, realistic graphics, intelligent tutoring and automated instructor support tools. In this paper, we describe our methodologies for developing a blended learning environment, and our challenges adding mixed reality and virtual human technologies to a traditional classroom to support interpersonal skills training.

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“…These algorithms have been incorporated into a tool which has been used to create characters for a variety of applications (e.g. Leuski et al, 2006;Artstein et al, 2009;Swartout et al, 2010). To date, most characters created using these principles understood and spoke only English; one fairly limited character spoke Pashto, a language of Afghanistan (Aggarwal et al, 2011).…”

Section: Introductionmentioning

confidence: 99%

Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil

Ravi

Artstein

2016

Proceedings of the 17th Annual Meeting of the Special Interest Group on Discourse and Dialogue

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A training and test set for a dialogue system in the form of linked questions and responses is translated from English into Tamil. Accuracy of identifying an appropriate response in Tamil is 79%, compared to the English accuracy of 89%, suggesting that translation can be useful to start up a dialogue system. Machine translation of Tamil inputs into English also results in 79% accuracy. However, machine translation of the English training data into Tamil results in a drop in accuracy to 54% when tested on manually authored Tamil, indicating that there is still a large gap before machine translated dialogue systems can interact with human users.

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Ada and Grace: Toward Realistic and Engaging Virtual Museum Guides

Cited by 107 publications

References 14 publications

How Do People Talk with a Virtual Philosopher: Log Analysis of a Real-World Application

How Do People Talk with a Virtual Philosopher: Log Analysis of a Real-World Application

Developing INOTS to support interpersonal skills practice

Language Portability for Dialogue Systems: Translating a Question-Answering System from English into Tamil

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