Virtual Human Toolkit 2012 (11x)


This text discusses the use of virtual agents or characters in various contexts, including evaluation of mental health disorders, interactive drama, museum and tour guides, and nonverbal behavior modeling. These virtual agents are designed to communicate and interact with users through a variety of means, such as answering questions, providing information, and engaging in conversations. The specific architectures of these virtual agents may vary depending on their intended function, level of sophistication, and research focus, such as emotion and appraisal systems or language technology. The text also mentions the use of question generation tools to create conversational characters and the importance of academic research on dialogue and communication with virtual agents. The text also refers to a toolkit called the Virtual Human Toolkit, which includes a text classification system that drives virtual characters and is available for download. This toolkit has been used in previous research on virtual agents.

Text classification is a machine learning technique that involves training a model to assign predefined categories or labels to a given input text. In the context of the Virtual Human Toolkit, text classification may be used to classify user input or responses from the virtual human in order to determine the appropriate action or response for the virtual character to take. For example, the virtual human may use text classification to categorize user input as a question, a request for information, or a statement, and then use this information to generate an appropriate response. The virtual human may also use text classification to identify specific topics or themes within a conversation, which can be used to guide the conversation or provide relevant information. Text classification can be a useful tool for enabling virtual characters to understand and respond to user input in a natural and intuitive way.

See also:

Virtual Human Toolkit 2010 | Virtual Human Toolkit 2011Virtual Human Toolkit 2013Virtual Human Toolkit 2014Virtual Human Toolkit 2015Virtual Human Toolkit 2016Virtual Human Toolkit 2017Virtual Human Toolkit 2018

Modeling speaker behavior: A comparison of two approaches
J Lee, S Marsella – International Conference on Intelligent Virtual Agents, 2012 – Springer
… 23 utterances were initially selected from the ICT’s Virtual Human Toolkit [21] utterance set, in which a vir- tual agent answers questions about the concept of virtual humans, what the Vir- tual Human Toolkit is, and about himself …

Challenging reality using techniques from interactive drama to support social simulations in virtual worlds
D Richards, N Szilas – Proceedings of The 8th Australasian Conference …, 2012 –
… Such initiatives include EU-funded SAIBA , eCIRCUS , LIREC2 , Humaine , Semaine ; US-based projects such as Virtual Human Toolkit , NECA , KSL’s Inference Web (McGuiness and Pinheiro da Silva, 2004); joint EU and US projects such as COMPANIONS (Intelligent …

The Twins Corpus of Museum Visitor Questions
P Aggarwal, R Artstein, J Gerten, A Katsamanis… – LREC, 2012 –
… Page 2. purposes as part of the ICT Virtual Human Toolkit ( These components work on individual user utterances, defined by a press and release of the push-to-talk button (1). 2. User Utterances 2.1 …

Spatial cues in hamlet
C Talbot, GM Youngblood – International Conference on Intelligent Virtual …, 2012 – Springer
… In: Work- shops at the Seventh Artificial Intelligence and Interactive Digital Entertainment Conference (September 2011) [31] Kenny, P., Hartholt, A., JGWSDTSMDP: ICT Virtual Human Toolkit, [32] Causey, T.: Where is the Best …

Creating conversational characters using question generation tools
X Yao, E Tosch, G Chen, E Nouri… – Dialogue & …, 2012 –
… The generated question-answer pairs were imported as a character knowledge base into NPCEd-itor (Leuski and Traum, 2010), a text classification system that drives virtual characters and is avail- able for download as part of the ICT Virtual Human Toolkit (see footnote 1 …

Avatar-based simulation in the evaluation of diagnosis and management of mental health disorders in primary care
RM Satter, T Cohen, P Ortiz, K Kahol… – Journal of Biomedical …, 2012 – Elsevier
… Of particular interest for academic purposes is the Virtual Human Toolkit ([51], http://vhtoolkit.ict., a toolkit developed at the University of Southern California Institute for Creative Technologies that has been used previously in a number of research …

Modeling nonverbal behaviors for virtual agents
J Lee – 2012 –

Agent-based museum and tour guides: applying the state of the art
D Richards – Proceedings of The 8th Australasian Conference on …, 2012 –
… architectures tend to vary depending on the agent’s function, level of sophistication or the particular research focus such as emotion and appraisal systems (eg ION [34]), web-services (eg THOMAS [3]), planning, query handling or language technology (eg Virtual Human Toolkit …

Jonathan Gratch
M Rendell – Psychology, 2012 –
Page 1. Jonathan Gratch Institute for Creative Technologies Department of Computer Science University of Southern California 12015 Waterfront Dr., Playa Vista, CA 90094 gratch AT Research Interests …

DISCUSS: Toward a Domain Independent Representation of Dialogue
L Becker – 2012 –
… 114 Page 18. xvii Figures Figure 2.1 The MyST tutoring interface . . . . . 12 2.2 Virtual Human Toolkit architecture . . . . . 15 2.3 Example Phoenix Parse . . . . . 16 …

Toward a Model for Incremental Grounding in Dialogue Systems
DKJ Heylen, HJA op den Akker, DR Traum –
Page 1. Toward a Model for Incremental Grounding in Dialogue Systems omas Visser University of Twente, EEMCS, HMI Enschede, e Netherlands Prof. dr. DKJ Heylen Dr. ir. HJA op den Akker Dr. M. eune USC Institute for Creative Technologies …