There is a huge variety of application domains for virtual agents. They can assist in teaching and learning, they can occur at work, in health care or they can assist in sports activities. The following is a broad overview of different usage scenarios for virtual agents and how these applications have been perceived by potential users.
Table of Contents
1. Introduction
2. Virtual Agents in Pedagogic Environments
2.1 Virtual Agents as Tutors
2.2 Virtual Agents as Teaching Assistants
3. Virtual Agents for Educational Simulation
4. Virtual Agents in Other Areas of Life
5. Discussion and Conclusion
Research Objectives and Themes
This paper provides a comprehensive overview of the diverse application domains for virtual agents, exploring how these technologies are integrated into pedagogical settings, educational simulations, and various aspects of daily life, while analyzing user perceptions and the effectiveness of these interactions.
- Integration of virtual agents as tutors in learning environments.
- Use of virtual agents as teaching assistants in classrooms.
- Application of virtual agents in educational simulations and psychotherapy training.
- Investigation of virtual agents in remote working environments (virtual bosses).
- Analysis of motivational feedback systems for behavioral change.
Excerpt from the Book
Virtual Agents as Tutors
Taoum et al. (2016) proposed a design for a so-called intelligent tutoring system using virtual agents. They extended an existing framework called MASCARET (Multi-Agent System for Collaborative, Adaptive & Realistic Environments for Training) for embodied conversational agents. The goal was to extend the agent’s behaviour to give it the ability to handle the learner’s feedback based on knowledge about the learning environment, signals from the learner and the user’s current learning state.
One thing the researchers focused on was the reaction on so-called backchannel signals. These are non-verbal feedback signals humans emit when communicating (e.g. shrugging or face expressions). The virtual agent should be able to react on a set of backchannel signals and emit such signals to make the communication more satisfying for the learner. Furthermore, they presented the structure of their intelligent tutoring system which consists of the following components:
• Domain Model: The domain model is the representation of the knowledge that should be transmitted including all objects the learning process involves and all interactions.
• Pedagogic Model: The pedagogic model defines all pedagogic objectives, activities, prerequisites and environments.
• Learner Model: The learner model contains all information regarding the learner. This includes the learner’s curriculum the history of actions that were already realized and the learner’s profile.
Summary of Chapters
1. Introduction: Defines virtual agents as intelligent interactive characters and outlines the scope of the paper regarding their application in pedagogical and daily life scenarios.
2. Virtual Agents in Pedagogic Environments: Examines the role of virtual agents as both tutors for individual learning and as teaching assistants in lecture scenarios.
3. Virtual Agents for Educational Simulation: Discusses how virtual agents simulate human behavior to allow learners to practice interactions, specifically focusing on psychotherapy training.
4. Virtual Agents in Other Areas of Life: Explores broader applications including remote working relationships and motivational systems for behavioral change.
5. Discussion and Conclusion: Summarizes the potential of virtual agents while acknowledging limitations in spontaneity and the current necessity for specialized equipment.
Keywords
Virtual agents, pedagogical environments, intelligent tutoring systems, educational simulation, psychotherapy training, human-computer interaction, backchannel signals, remote working, motivational feedback, behavioral change, virtual co-presenter, MASCARET, ICSPACE, affective computing.
Frequently Asked Questions
What is the primary focus of this research?
The work provides a broad overview of different usage scenarios for virtual agents, analyzing how these applications function in various fields and how they are perceived by users.
What are the central themes discussed in the paper?
Key themes include the integration of virtual agents into teaching, their use as virtual tutors, their role in educational simulations, and their effectiveness as motivational tools in professional or therapeutic contexts.
What is the core research objective?
The objective is to synthesize existing studies on virtual agents to understand their current capabilities, their acceptance in real-world scenarios, and the challenges associated with their implementation.
Which methodologies are highlighted?
The paper reviews various empirical studies, including laboratory-based experiments, real-life evaluations in university courses, and comparative analyses between human and virtual agent interactions.
What topics are covered in the main body?
The main body details specific applications, such as Intelligent Tutoring Systems (ITS), PowerPoint-integrated co-presenters, virtual patients in psychotherapy, and motivational systems for PTSD patients.
Which keywords best characterize this work?
Key terms include Virtual Agents, Pedagogic Environments, Intelligent Tutoring Systems, Educational Simulation, and Human-Computer Interaction.
How do virtual agents perform compared to human bosses in feedback scenarios?
The research by Kraemer et al. (2017) indicated that there was no significant difference in how feedback was perceived, suggesting that the delivery of feedback is more important than whether the source is human or virtual.
What limitation exists regarding virtual coaches for physical training?
While the concept of a virtual coach is promising, current implementations like the ICSPACE require specialized equipment such as motion capture suits, making them less suitable for everyday, widespread use.
- Citar trabajo
- Ramona Burger (Autor), 2020, On the Different Application Domains of Virtual Agents, Múnich, GRIN Verlag, https://www.grin.com/document/974344
