A Plan-Based Personality Model for Story Characters

Shirvani, Alireza; Ware, Stephen G.

doi:10.1609/aiide.v15i1.5243

Cited by 7 publications

(8 citation statements)

References 15 publications

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“…In this paper, we validated 6 emotions and provided initial results to show that characters generated by our model improve believability and empathy. We plan to expand our model of emotion to include the other OCC emotions and to combine it with computational models of personality, such as (Bahamón and Young 2013;Bahamón, Barot, and Young 2015;Shirvani and Ware 2019;Shirvani 2019) to further improve character believability.…”

Section: Discussionmentioning

confidence: 99%

A Formalization of Emotional Planning for Strong-Story Systems

Shirvani

Ware

2020

AIIDE

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Characters that are capable of expressing emotions seem more lifelike to a human audience. Interacting with emotional characters may cause a human user to feel empathy and to care for their fate. In turn, the audience may feel more engaged in the story. We take a step to address the lack of computational models of emotions for strong-story systems and propose to extend strong-story state-space narrative planners, already equipped with intentionality and belief, to reason about character emotions. Our proposed system is multi-agent, highly domain-independent, and focused on reasoning and decision making. In this paper, we evaluate to what extent our system can accurately model a set of emotions and in doing so, improve the believability of story characters.

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Section: Discussionmentioning

confidence: 99%

A Formalization of Emotional Planning for Strong-Story Systems

Shirvani

Ware

2020

AIIDE

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“…In the last few years, several games and works have been setting the state-of-the-art in interactive storytelling [4], [23]- [25]. In particular, Animal Crossing (Nintendo) and The Sims (Maxis, Electronic Arts 2000) use NPCs to bring out the content of a story.…”

Section: Interactive Storytellingmentioning

confidence: 99%

“…However, the work does not analyze the personality traits of the agents, which could trigger changes in the NPCs' behavior, thus improving the player experience. Shirvani et al [23], proposes a contextfree representation with a simplified Big Five personality model. They describe traits using a set of aspects, as defined by DeYoung et al [26] (such as defining an agreeableness trait through kindness and compassion aspects).…”

Section: Interactive Storytellingmentioning

confidence: 99%

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Moody5: Personality-biased agents to enhance interactive storytelling in video games

Garavaglia

Nobre

Ripamonti

et al. 2022

2022 IEEE Conference on Games (CoG)

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In story-driven video games, such as Role-Playing Games (RPGs), a static and repetitive interaction with Non-Player Characters (NPCs) can negatively impact fun and immersion. On the contrary, an NPC able to show emotions and endowed with a personality that matches its behavior can keep the user engaged for a longer time, thus increasing the game's replayability. Unfortunately, this aspect is still an open issue. We propose a preliminary solution: Moody5 has been designed to help game designers create "personality-biased" agents able to interact in sensible ways in the framework of interactive storytelling. In particular, it supports the creation of agents that exploit the Goal-Oriented Action Planning technique to reach their goals but whose chain of actions is affected by their personality and emotions. To obtain this result, we have borrowed some ideas from the Big Five theory [1] and the Emotion Facial Action Coding System (EMFACS) by Ekman & Friesen [2]. Therefore, we obtain NPCs that are a proxy good enough to approximate human behavior in games. We validated the proposed solution in a narrative test scenario inspired by the Harry Potter universe. Our preliminary survey demonstrated that Moody5 could improve the gameplay experience and replay value while providing a helpful Unity plugin for game developers.

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“…Next, in forthcoming work, I proposed a model of personality based on the Big Five (Shirvani and Ware 2019). I had two main goals for my personality model.…”

Section: My Previous Workmentioning

confidence: 99%

Towards More Believable Characters Using Personality and Emotion

Shirvani

2019

AIIDE

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Interactive virtual worlds provide an immersive and effective environment for training, education, and entertainment purposes. So far, there have been considerable advances in 3D and AI design to enhance virtual environments. Virtual characters are one of the crucial aspects of interactive narratives. The interaction of rich virtual characters can produce interesting narrative and as a result, enhance the experience of virtual environments. As one of those characters, the user would feel immersed and engaged when interacting with compelling characters. There are many characteristics that improve believable behavior generation, including beliefs, goals, desires, affect, and personality. My goal is to propose an affective model of personality for multi-agent narrative planning systems that is domain independent and thus minimizes authorial burden. I aim to combine existing models into a unified framework. Although the framework may oversimply those models, it would not overlook their key ingredients.

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A Plan-Based Personality Model for Story Characters

Cited by 7 publications

References 15 publications

A Formalization of Emotional Planning for Strong-Story Systems

A Formalization of Emotional Planning for Strong-Story Systems

Moody5: Personality-biased agents to enhance interactive storytelling in video games

Towards More Believable Characters Using Personality and Emotion

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