Fast multi-level adaptation for interactive autonomous characters

Dinerstein, Jonathan; Egbert, Parris K.

doi:10.1145/1061347.1061352

Cited by 13 publications

(12 citation statements)

References 21 publications

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“…When adaptive behavior of machines is concerned, the work presented in [9] where emotional learning and imitation are combined enabling a virtual character to quickly adapt online due to interaction with human user, is worth considering. Among one of various interesting applications of emotion adaptive approach is shown in [6] where software is created which automatically generates the Play-lists based on Listener's Mood.…”

Section: Literature Surveymentioning

confidence: 99%

A Model to Incorporate Emotional Sensitivity into Human Computer Interactions

Ramnani

Gorthi

2014

Proceedings of the 2014 Workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems

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Human machine interaction has started receiving much attention in recent years. The 'Link' which plays a major role in interfacing and facilitating human machine interaction, is getting more and more equipped with different modalities (such as natural language processing , intelligent reasoning etc.) so as to shift the cognitive load of understanding from human to machine. This makes machines not only be able to respond in more appropriate and relevant ways but also reduces the human efforts (in making the system understand and act) to the extent possible. This research work contributes to the design and implementation of the interface by presenting a unified model that takes human machine interaction to a advanced level of understanding with an intelligent interface that not only consists of incorporating emotional intelligence into machines but also identifying contextual information, intention recognition (for a given user's textual response) leading to strategic adaptive dialogue management. The motivation for the system proposed is to provide an inexpensive, unobtrusive means for human beings to interact with computer applications in a meaningful way that requires minimal effort. Research work is completely dedicated to provide a baseline mechanism for achieving stress free satisfying interaction between human and machines. Our system is tested against the existing IVR technology and corresponding results are captured.

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Section: Literature Surveymentioning

confidence: 99%

A Model to Incorporate Emotional Sensitivity into Human Computer Interactions

Ramnani

Gorthi

2014

Proceedings of the 2014 Workshop on Emotion Representation and Modelling in Human-Computer-Interaction-Systems

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“…Dinerstein and Egbert (2005) developed a custom multi-agent system with beliefs, desires, and intentions underpinnings, using a layered cognitive model [3]. They noted that their system was fast but also that a notable amount of CPU was required when using knowledge to make decisions on NPC actions.…”

Section: Related Workmentioning

confidence: 99%

MAS Controlled NPCs in 3D Virtual Learning Environment

McClure

Chang

Lin

2013

2013 International Conference on Signal-Image Technology &Amp; Internet-Based Systems

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Incorporating intelligence and social behaviours into virtual worlds for learning is becoming more desirable in making them smart, adaptive, personalized, and therefore, more effective and engaging. Realistic non-player controlled characters (NPCs) are essential of a game world and are making the virtual world more real for players. This is true in video games where more interactive NPCs support the story narrative of a game, making the game more immersive, more convincing, but it is also true in other areas where virtual worlds are used such as business and education, increasing the effectiveness of those environments. Research that has been done with virtual agents and multi-agent systems can be leveraged to create more realistic NPCs through purposeful communication channels, inter-agent interactions and environment-agent interactions for game-based learning applications. This research proposes an approach to controlling avatars with intelligent agents through the creation of an interface between a multi-agent system to a virtual world engine. Basic NPC behaviours controlled by agents using Jason AgentSpeak are used to test the feasibility of the approach. A QuizMASter is designed and illustrated as a proof of concept of the use of such agent controlled avatars in educational context.Keywords-virtual learning environments; multi-agent systems, virtual world, non-player characters, social behavior, intelligent agent, social bots.

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“…Researchers in the area, such as [1] [2] and our previous work [3] [4] [5] [6] have seen significant success and it is considered an essential approach in work towards more challenging, unpredictable and player-centric games [7]. The games industry also consider learning and adaptation in games to be an important advance that is highly desirable for computer games in order to maintain their entertainment value [8] [9].…”

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confidence: 99%

In-game adaptation of a navigation mesh cell path

Hartley

Mehdi

2012

2012 17th International Conference on Computer Games (CGAMES)

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A fundamental requirement of non-player characters (NPCs) in today's computer games is to be able to move through a complex virtual world in an intelligent way. Pathfinding or path planning techniques are used by games developers to determine suitable routes, during gameplay, from a starting location to a goal position. These techniques make use of graphs to efficiently represent the game world. Navigation graphs can be created using different constructs, such as waypoints, navigation meshes and grids. Typically, path planning systems use the navigation graph to find the shortest path between locations and do not adapt in-game based on a player's experience of navigating a path. In previous works we have explored approaches to in-game action prediction and tactic adaptation through machine learning inspired approaches. In this paper we present an approach to the in-game adaptation of NPC movement using navigation mesh cells. The technique allows NPCs to adapt their routes through cells based on previous experience whilst also preserving smooth paths. The system is applied to FPS game scenarios using the Unity3D game engine. The results show that the technique offers a promising approach to the adaptation of NPC movement through navigation meshes.

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Fast multi-level adaptation for interactive autonomous characters

Cited by 13 publications

References 21 publications

A Model to Incorporate Emotional Sensitivity into Human Computer Interactions

A Model to Incorporate Emotional Sensitivity into Human Computer Interactions

MAS Controlled NPCs in 3D Virtual Learning Environment

In-game adaptation of a navigation mesh cell path

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