Figure - available from: Journal of Intelligent Systems
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Head-Tracked View Frustum for Off-axis Stereoscopic Rendering. View Frustum for Stereo Rendering is Computed Based on User’s Head Position so that Application Perspective Corresponds to the Through the Window Style Immersive Environments.
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This article describes research to build an embodied conversational agent (ECA) as an interface to a question-and-answer (Q/A) system about a National Science Foundation (NSF) program. We call this ECA the LifeLike Avatar, and it can interact with its users in spoken natural language to answer general as well as specific questions about specific to...
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... This experiment sought to evaluate the episodic memory system exactly how we plan for it to be usedintegrated into an ECA. Figure 3 displays the graphic representation of the ECA used. We refer to this ECA as the Lifelike Avatar [16]. This experiment compares the relative capabilities of the Lifelike avatar with the episodic memory system incorporated within it to the same avatar without memory. ...
This paper addresses the role of conversational memory in Embodied Conversational Agents (ECAs). It describes an investigation into developing such a memory architecture and integrating it into an ECA. ECAs are virtual agents whose purpose is to engage in conversations with human users, typically through natural language speech. While several works in the literature seek to produce viable ECA dialog architectures, only a few authors have addressed the episodic memory architectures in conversational agents and their role in enhancing their intelligence. In this work, we propose, implement, and test a unified episodic memory architecture for ECAs. We describe a process that determines the prevalent contexts in the conversations obtained from the interactions. The process presented demonstrates the use of multiple techniques to extract and store relevant snippets from long conversations, most of whose contents are unremarkable and need not be remembered. The mechanisms used to store, retrieve, and recall episodes from previous conversations are presented and discussed. Finally, we test our episodic memory architecture to assess its effectiveness. The results indicate moderate success in some aspects of the memory-enhanced ECAs, as well as some work still to be done in other aspects.
... Modern media have long made such promises (Sconce 2000). What made the 2.0Pac performance particularly interesting to me was that it recalled my experience of the first time I saw a televised report on the Science Channel (Popular Science 2009) of a research project in which I was involved, 'Project Lifelike', a National Science Foundation funded collaboration between the University of Illinois at Chicago Electronic Visualization Laboratory and the University of Central Florida Intelligent Systems Laboratory (Gonzalez et al. 2013). The essence of the project involved creating a lifelike 3D avatar with whom system users could interact, as a small but definitive step in our goal of developing a virtual human that can pass the enhanced Turing test -one that can fool a human into thinking he or she is speaking with the actual person via computer-based communication rather than a virtual representation of the person. ...
As contemporary media of communication increasingly rely on computer mediation there is a concomitantly increasing amount of algorithmic intervention utilizing expressions between users and between users and machines to create, modify or channel communication and interaction with digital
agents. This article addresses the consequences of human-machine communication for the field of communication.
This paper presents and evaluates a method for automatically generating a narrative that includes initial input from the listener, without forcing him/her to become an actual character in the story. More importantly, the story can be modified by the listener during the course of the story being narrated. This latter feature works without pre-defining alternative paths, thereby permitting the changes to take place at any time throughout the course of the story. This system, called the Campfire Storytelling System, employs a contextual approach to narrative generation called the Cooperating Context Method (CCM). Campfire STS was assessed for its functionality and its user acceptance. Thirty-eight human test subjects evaluated stories generated by Campfire STS. They responded to a survey stating their opinions about the generated stories, their entertainment value for adults, their creativity, and other similar issues. Furthermore, 20 of these subjects who self-reported non-trivial experience with children were additionally asked to evaluate the generated stories with respect to how much children would enjoy them. The results of these evaluations suggest that Campfire STS is able to create interesting and novel stories, as well as change them seamlessly in mid-stream while still maintaining interesting and entertaining stories.
This paper describes an interactive museum exhibit featuring an avatar of Alan Turing that informs museum visitors about artificial intelligence and Turing’s seminal Turing Test for machine intelligence. The objective of the exhibit is to engage and motivate visiting children in the hope of sparking an interest in them about computer science and artificial intelligence, and cause them to consider pursuing future studies and/or careers in these fields. The exhibit interacts with the visitors, allowing them to participate in a simplified version of Turing’s test that is brief and informal to suit the limitations of a five-minute exhibit. In this exhibit, the visitor (targeted towards middle school age children) invokes an avatar of his/her own choice, and acts to endow it with human-like qualities (voice, brain, eyesight and hearing). Then, the visitor engages the avatar in a (brief) question-and-answer session to determine whether the visitor thinks that he/she is interacting with a real human on a video conference or with an avatar. We consider this interaction to be an extension of the original Turing Test because, unlike Turing’s original that used text via a teletype, this version features a graphical embodiment of an agent with which one can converse in spoken natural language. This extension serves to make passing the Turing Test more difficult, as now the avatar must not only communicate like a human, but also look, sound and act the part. It also makes the exhibit visual, dynamic and interesting to the visitors. Evaluations were performed with museum visitors, both in backrooms with prototypes as well as on the museum floor with the final version. The formative and summative evaluations performed indicated overall success in engaging the museum visitors and increasing their interest in computer science. More specifically, the formative testing, mostly done in quiet back rooms with selected test subjects, indicated that on the important questions about enjoyment of exhibit and increased interest in computer science by the test subjects, their self-reported Likert scale responses (1 being negative and 5 being positive) increased from 3.16 in the first evaluation to 4.38 in the third one for increased interest in CS. Likewise for the question about exhibit enjoyment (from 3.92 to 4.56). The summative evaluation, done through unobtrusive observation of exhibit use on museum floor, indicated that almost 74% of the parties that initiated the exhibit were either highly or moderately engaged by the exhibit. However, there was one major negative finding, namely the overly long duration of the exhibit, which may have caused premature abandonment of the exhibit in several cases during the summative evaluation. These tests and their results are presented and discussed in detail in this paper. The exhibit has been on permanent display at the Orlando (FL) Science Center since June 2014 and has received a strongly positive response from visitors since that time.
