44,390 research outputs found
Making Them Remember-Emotional Virtual Characters with Memory
The search for the perfect virtual character is on, but the moment users interact with characters, any illusion that weâve found it is broken. Adding memory capabilities to models of human emotions, personality, and behavior traits is a step toward a more natural interaction style
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Investigation of an emotional virtual human modelling method
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.In order to simulate virtual humans more realistically and enable them life-like behaviours, several exploration research on emotion calculation, synthetic perception, and decision making process have been discussed. A series of sub-modules have been designed and simulation results have been presented with discussion.
A visual based synthetic perception system has been proposed in this thesis, which allows virtual humans to detect the surrounding virtual environment through a collision-based synthetic vision system. It enables autonomous virtual humans to change their emotion states according to stimuli in real time. The synthetic perception system also allows virtual humans to remember limited information within their own First-in-first-out short-term virtual memory.
The new emotion generation method includes a novel hierarchical emotion structure and a group of emotion calculation equations, which enables virtual humans to perform emotionally in real-time according to their internal and external factors. Emotion calculation equations used in this research were derived from psychologic emotion measurements. Virtual humans can utilise the information in virtual memory and emotion calculation equations to generate their own numerical emotion states within the hierarchical emotion structure. Those emotion states are important internal references for virtual humans to adopt appropriate behaviours and also key cues for their decision making.
The work introduces a dynamic emotional motion database structure for virtual human modelling. When developing realistic virtual human behaviours, lots of subjects were motion-captured whilst performing emotional motions with or without intent. The captured motions were endowed to virtual characters and implemented in different virtual scenarios to help evoke and verify design ideas, possible consequences of simulation (such as fire evacuation).
This work also introduced simple heuristics theory into decision making process in order to make the virtual humanâs decision making more like real human. Emotion values are proposed as a group of the key cues for decision making under the simple heuristic structures. A data interface which connects the emotion calculation and the decision making structure together has also been designed for the simulation system
Towards Learning âSelfâ and Emotional Knowledge in Social and Cultural Human-Agent Interactions
Original article can be found at: http://www.igi-global.com/articles/details.asp?ID=35052 Copyright IGI. Posted by permission of the publisher.This article presents research towards the development of a virtual learning environment (VLE) inhabited by intelligent virtual agents (IVAs) and modeling a scenario of inter-cultural interactions. The ultimate aim of this VLE is to allow users to reflect upon and learn about intercultural communication and collaboration. Rather than predefining the interactions among the virtual agents and scripting the possible interactions afforded by this environment, we pursue a bottomup approach whereby inter-cultural communication emerges from interactions with and among autonomous agents and the user(s). The intelligent virtual agents that are inhabiting this environment are expected to be able to broaden their knowledge about the world and other agents, which may be of different cultural backgrounds, through interactions. This work is part of a collaborative effort within a European research project called eCIRCUS. Specifically, this article focuses on our continuing research concerned with emotional knowledge learning in autobiographic social agents.Peer reviewe
Investigation of an emotional virtual human modelling method
In order to simulate virtual humans more realistically and enable them life-like behaviours, several exploration research on emotion calculation, synthetic perception, and decision making process have been discussed. A series of sub-modules have been designed and simulation results have been presented with discussion. A visual based synthetic perception system has been proposed in this thesis, which allows virtual humans to detect the surrounding virtual environment through a collision-based synthetic vision system. It enables autonomous virtual humans to change their emotion states according to stimuli in real time. The synthetic perception system also allows virtual humans to remember limited information within their own First-in-first-out short-term virtual memory. The new emotion generation method includes a novel hierarchical emotion structure and a group of emotion calculation equations, which enables virtual humans to perform emotionally in real-time according to their internal and external factors. Emotion calculation equations used in this research were derived from psychologic emotion measurements. Virtual humans can utilise the information in virtual memory and emotion calculation equations to generate their own numerical emotion states within the hierarchical emotion structure. Those emotion states are important internal references for virtual humans to adopt appropriate behaviours and also key cues for their decision making. The work introduces a dynamic emotional motion database structure for virtual human modelling. When developing realistic virtual human behaviours, lots of subjects were motion-captured whilst performing emotional motions with or without intent. The captured motions were endowed to virtual characters and implemented in different virtual scenarios to help evoke and verify design ideas, possible consequences of simulation (such as fire evacuation). This work also introduced simple heuristics theory into decision making process in order to make the virtual humanâs decision making more like real human. Emotion values are proposed as a group of the key cues for decision making under the simple heuristic structures. A data interface which connects the emotion calculation and the decision making structure together has also been designed for the simulation system.EThOS - Electronic Theses Online ServiceGBUnited Kingdo
The Memory-History-Popular Culture Nexus: Pearl Harbor As a Case Study in Consumer-Driven Collective Memory
In this paper I examine the fusing of collective memory, history and popular culture by analyzing current trends in American-made commercial films with historical events as subject matter that have also been distributed to a global audience. Pearl Harbor is the primary case study. Analysis shows that dominant historical narratives are reified by the use of what I term an 'anticipatory-driven' film experience where audience members engage in an interaction with pre-existing mainstream collective memory while their anticipation for impending climactic trauma is systematically heightened. Comparisons are made to other widely released US films about national and international events and 'non-events.' Questions are also raised about the increasing global importance of the memory-history-popular culture nexus post 9-11, and, how US produced films about 9-11 may or may not engage in the practices detailed in this analysis. In this vein the paper concludes with a discussion of how Pearl Harbor was marketed, edited and received in Japan, the second largest audience for Hollywood films and what this implies about social memory construction in a global commercial context.Collective Memory, Film, Hollywood, National Identity, Pearl Harbor, Social Memory
Beyond cute: exploring user types and design opportunities of virtual reality pet games
Virtual pet games, such as handheld games like Tamagotchi or video games like Petz, provide players with artificial pet companions or entertaining pet-raising simulations. Prior research has found that virtual pets have the potential to promote learning, collaboration, and empathy among users. While virtual reality (VR) has become an increasingly popular game medium, litle is known about users' expectations regarding game avatars, gameplay, and environments for VR-enabled pet games. We surveyed 780 respondents in an online survey and interviewed 30 participants to understand users' motivation, preferences, and game behavior in pet games played on various medium, and their expectations for VR pet games. Based on our findings, we generated three user types that reflect users' preferences and gameplay styles in VR pet games. We use these types to highlight key design opportunities and recommendations for VR pet games
Integration of psychological models in the design of artificial creatures
Artificial creatures form an increasingly important component of interactive computer games. Examples of such creatures exist which can interact with each other and the game player and learn from their experiences. However, we argue, the design of the underlying architecture and algorithms has to a large extent overlooked knowledge from psychology and cognitive sciences. We explore the integration of observations from studies of motivational systems and emotional behaviour into the design of artificial creatures. An initial implementation of our ideas using the âsim agentâ toolkit illustrates that physiological models can be used as the basis for creatures with animal like behaviour attributes. The current aim of this research is to increase the ârealismâ of artificial creatures in interactive game-play, but it may have wider implications for the development of AI
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NPCs as People, Too: The Extreme AI Personality Engine
PK Dick once asked âDo Androids Dream of Electric Sheep?â In video games, a similar question could be asked of non-player characters: Do NPCs have dreams? Can they live and change as humans do? Can NPCs have personalities, and can these develop through interactions with players, other NPCs, and the world around them? Despite advances in personality AI for games, most NPCs are still undeveloped and undeveloping, reacting with flat affect and predictable routines that make them far less than humanâ in fact, they become little more than bits of the scenery that give out parcels of information. This need not be the case. Extreme AI, a psychology-based personality engine, creates adaptive NPC personalities. Originally developed as part of the thesis âNPCs as People: Using Databases and Behaviour Trees to Give Non-Player Characters Personality,â Extreme AI is now a fully functioning personality engine using all thirty facets of the Five Factor model of personality and an AI system that is live throughout gameplay. This paper discusses the research leading to Extreme AI; develops the ideas found in that thesis; discusses the development of other personality engines; and provides examples of Extreme AIâs use in two game demos
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Being Bad in a Video Game can Make Us Morally Sensitive
Several researchers have demonstrated that the virtual behaviors committed in a video game can elicit feelings of guilt. Researchers have proposed that such guilt could have prosocial consequences. However, this proposition has not been supported with empirical evidence. The current study examined this issue in a 2 2 (video game play vs. real world recollection guilt vs. control) experiment. Participants were first randomly assigned to either play a video game or complete a memory recall task. Next, participants were randomly assigned to either a guilt-inducing condition (game play as a terrorist/recall of acts that induce guilt) or a control condition (game play as a UN soldier/recall of acts that do not induce guilt). Results of the study indicate several important findings. First, the current results replicate previous research indicating that immoral virtual behaviors are capable of eliciting guilt. Second, and more importantly, the guilt elicited by game play led to intuition-specific increases in the salience of violated moral foundations. These findings indicate that committing "immoral" virtual behaviors in a video game can lead to increased moral sensitivity of the player. The potential prosocial benefits of these findings are discussed.Advertisin
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