NonKin Village: An Embeddable Training Game Generator for Learning Cultural Terrain and Sustainable Counter-Insurgent Operations

Silverman, Barry G.; Pietrocola, David; Weyer, Nathan; Weaver, Ransom; Esomar, Nouva; Might, Robert J.; Chandrasekaran, Deepthi

doi:10.1007/978-3-642-11198-3_10

Cited by 11 publications

(6 citation statements)

References 3 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Given the correct permissions, virtual agents (operating outside of Koko) could request the user's affective state in the same manner as agents internal to Koko can. For example, the virtual agents models used in the ORIENT [9] and NonKin Village [17] applications could access the affect state of the player and use that information to enhance the agent's decision making process.…”

Section: Discussionmentioning

confidence: 99%

Architecture for Affective Social Games

Sollenberger

Singh

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

Abstract. The importance of affect in delivering engaging experiences in entertainment and education is well recognized. We introduce the Koko architecture, which describes a service-oriented middleware that reduces the burden of incorporating affect into games and other entertainment applications. Koko provides a representation for affect, thereby enabling developers to concentrate on the functional and creative aspects of their applications. The Koko architecture makes three key contributions: (1) improving developer productivity by creating a reusable and extensible environment; (2) yielding an enhanced user experience by enabling independently developed applications to collaborate and provide a more coherent user experience than currently possible; (3) enabling affective communication in multiplayer and social games.

show abstract

Section: Discussionmentioning

confidence: 99%

Architecture for Affective Social Games

Sollenberger

Singh

2009

Lecture Notes in Computer Science

View full text Add to dashboard Cite

show abstract

“…Given the correct permissions, virtual agents (operating outside of Koko) could request the user's affective state in the same manner as agents internal to Koko can. For example, the virtual agent models used in the ORIENT [20] and NonKin Village [33] applications could access the affect state of the player and use that information to enhance the agent's decision making process.…”

Section: Virtual Agentsmentioning

confidence: 99%

Koko: an architecture for affect-aware games

Sollenberger

Singh

2010

Auton Agent Multi-Agent Syst

View full text Add to dashboard Cite

The importance of affect in delivering engaging experiences in entertainment and educational games is well recognized. Yet, current techniques for building affect-aware games are limited, with the maintenance and use of affect in essence being handcrafted for each game. The Koko architecture describes a service-oriented middleware that reduces the burden of incorporating affect recognition into games, thereby enabling developers to concentrate on the functional and creative aspects of their applications. The Koko architecture makes three key contributions: (1) improving developer productivity by creating a reusable and extensible environment; (2) yielding an enhanced user experience by enabling independently developed games and other applications to collaborate and provide a more coherent user experience than currently possible; (3) enabling affective communication in multiplayer and social games. Further, Koko is intended to be used as an extension of existing game architectures. We recognize that complex games require additional third party libraries, such as game engines. To enable the required flexibility we define the interfaces of the Koko architecture in a formal manner, thereby enabling the implementation of those interfaces to readily adapt to the unique requirements of game's other architectural components and requirements.

show abstract

“…Building on this model, a set of agent-based simulations explores the advantages of this approach. These simulations model two competing actions spreading in Hamariyah, a virtual Iraqi village based on human terrain data provided by the U.S. Marine Corps (Silverman, Pietrocola, et al, 2009). These simulations extend the NonKin village framework (Silverman et al, 2012), using the new cognitive model to drive agents.…”

Section: Nye and Silverman 111mentioning

confidence: 99%

“…Since this framework had preexisting actions, the spreading behaviors competed against each other and against the existing action set, which primarily models daily life activities. These simulations were performed to examine whether the cognitive agents could fulfill the three requirements listed at the end of Section 2: realistic This scenario was generated using the NonKin village framework and data provided by the U.S. Marine Corps (Silverman, Pietrocola, et al, 2009). NonKin village is a virtual village engine based on PMFServ agents (Silverman et al, 2012).…”

Section: Hamariyah Iraqi Village Simulationmentioning

confidence: 99%

Social Learning and Adoption of New Behavior in a Virtual Agent Society

Nye

Silverman

2013

Presence: Teleoperators and Virtual Environments

Self Cite

View full text Add to dashboard Cite

Social learning and adoption of new behavior govern the rise of a variety of behaviors: from actions as mundane as dance steps to those as dangerous as new ways to make IED detonators. However, agents in immersive virtual environments lack the ability to realistically simulate the spread of new behavior. To address this gap, a cognitive model was designed that represents the well-known socio-cognitive factors of attention, social influence, and motivation that influence learning and the adoption of a new behavior. To explore the effectiveness of this model, simulations modeled the spread of two competing memes in Hamariyah, an archetypal Iraqi village developed for cross-cultural training. Diffusion and clustering analyses were used to examine adoption patterns in these simulations. Agents produced well-defined clusters of early versus late adoption based on their social influences, personality, and contextual factors, such as employment status. These findings indicate that the spread of behavior can be simulated plausibly in a virtual agent society and has the potential to increase the realism of immersive virtual environments. Social Learning and Adoption of New Behavior in a Virtual Agent Society AbstractSocial learning and adoption of new behavior govern the rise of a variety of behaviors: from actions as mundane as dance steps to those as dangerous as new ways to make IED detonators. However, agents in immersive virtual environments lack the ability to realistically simulate the spread of new behavior. To address this gap, a cognitive model was designed that represents the well-known socio-cognitive factors of attention, social influence, and motivation that influence learning and the adoption of a new behavior. To explore the effectiveness of this model, simulations modeled the spread of two competing memes in Hamariyah, an archetypal Iraqi village developed for cross-cultural training. Diffusion and clustering analyses were used to examine adoption patterns in these simulations. Agents produced well-defined clusters of early versus late adoption based on their social influences, personality, and contextual factors, such as employment status. These findings indicate that the spread of behavior can be simulated plausibly in a virtual agent society and has the potential to increase the realism of immersive virtual environments.

show abstract

NonKin Village: An Embeddable Training Game Generator for Learning Cultural Terrain and Sustainable Counter-Insurgent Operations

Cited by 11 publications

References 3 publications

Architecture for Affective Social Games

Architecture for Affective Social Games

Koko: an architecture for affect-aware games

Social Learning and Adoption of New Behavior in a Virtual Agent Society

Contact Info

Product

Resources

About