Scheherazade’s Tavern: A Prototype For Deeper NPC Interactions

Aljammaz, Rehaf; Oliver, Elizabeth; Whitehead, Jim; Mateas, Michael

doi:10.1145/3402942.3402984

Cited by 10 publications

(4 citation statements)

References 10 publications

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“…The latter statement is particularly true in high interactive narratives games like visual novel games. For instance, project Scheherazade (Aljammaz et al, 2020) combined social simulation, natural language processing, and knowledge modeling to enhance NPC interactions, players' engagement and interest in the game.…”

Section: Human-like Npcsmentioning

confidence: 99%

Can We Detect Non-playable Characters’ Personalities Using Machine And Deep Learning Approaches?

Hernandez¹,

Muratet²,

Pierotti³

et al. 2022

ECGBL

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Personality recognition and computational psychometrics data have become prevalent in personnel selection processes. Such assessment tools are adequate for human resources seeking tools to assess a large volume of diverse player personalities in the current "war of talents." Recently, studies about using Gamified situational judgment test approaches have shown positive results in assessing players' behavior and personality. Gamified situational judgment tests combine the advantages of gamification, such as enhancing players' reactions and flow state, with the acknowledged traditional situational judgment test approach. To gamify a situational judgment test, an innovative approach using the visual novel game genre has shown positive results in the gamification by adding game elements such as narrative scripts, non-player characters, dialogs, and audiovisual assets to the test. Indeed, these elements play an essential role in the validity of the players' personality results by using a stealth-assessment method to minimize social bias and player's stress. However, to our knowledge, as gamification in personality detection is still recent, little is known on the possible positive outcomes of designing game elements such as the dialogues and non-player character personalities in the validity of the team cohesion measure. To this end, we propose an empirical study to build personality trait models based on non-players characters' speeches. We used the Myers–Briggs Type Indicator based on four dichotomies to classify the personalities as one of companies and organizations' most used personality typology. For each of the four dimensions, we train twenty-four separate binary classifiers and one 16-class classifier, using well-established machine learning and a convolutional neural network in the domain of natural language processing, text analytics, and computational psychometrics. The results of this study show that it is possible to recognize non-playable characters’ personalities and thus can help game designers to understand their characters' personalities using natural language processing.

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Section: Human-like Npcsmentioning

confidence: 99%

Can We Detect Non-playable Characters’ Personalities Using Machine And Deep Learning Approaches?

Hernandez¹,

Muratet²,

Pierotti³

et al. 2022

ECGBL

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show abstract

“…In order to tackle the challenge of creating and managing dialogue within a social agent simulation, Aljammaz et al [71] integrated chatbots and knowledge model representation on top of the Ensemble engine [24]. The chatbots are used as a layer of abstraction between the human interactor and the Emsemble Characters allowing open-text input to be taken into account by the scenario.…”

Section: Dialoguementioning

confidence: 99%

Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit

Guimarães¹,

Campos²,

Santos³

et al. 2022

Preprint

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Disclaimer: At the moment this article is currently awaiting submission review. Since this process usually takes a lot of time, feel free to use it this version as a reference until it is published. Thank you for reading, if you have any feedback please send us a message. Enjoy. The deployment of Socially Intelligent Agents (SIAs) in learning environments has proven to have several advantages in different areas of application. Social Agent Authoring Tools allow scenario designers to create tailored experiences with high control over SIAs behaviour, however, on the flip side, this comes at a cost as the complexity of the scenarios and its authoring can become overbearing. In this paper we introduce the concept of Explainable Social Agent Authoring Tools with the goal of analysing if authoring tools for social agents are understandable and interpretable. To this end we examine whether an authoring tool, FAtiMA-Toolkit, is understandable and its authoring steps interpretable, from the point-of-view of the author. We conducted two user studies to quantitatively assess the Interpretability, Comprehensibility and Transparency of FAtiMA-toolkit from the perspective of a scenario designer. One of the key findings is the fact that FAtiMA-Toolkit's conceptual model is, in general, understandable, however the emotional-based concepts were not as easily understood and used by the authors. Although there are some positive aspects regarding the explainability of FAtiMA-Toolkit, there is still progress to be made to achieve a fully explainable social agent authoring tool. We provide a set of key concepts and possible solutions that can guide developers to build such tools.SectionionIntroduction Socially Intelligent Agents (SIAs) have an ever increasing range of applications from conversational interfaces on websites to tutors or teammates in educational environments [1,2], where they are equipped with tools to conduct human-like interactions. Amongst the most promising applications of SIAs are serious games and social skills training environments. In these virtual environments SIAs behaviours can range from reactive wandering in the background of a scenario to complex social interactions that provide social support or assist the player in some skill training [3]. These autonomous agents sense the environment and act intelligently and independently from the user, allowing them to train and adapt specific verbal and nonverbal behaviors in socially challenging situations [4].

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“…The rapid progress of digital interactive storytelling has already led to several prototypes (Aljammaz et al, 2020;Aylett et al, 2005;Cavazza et al, 2007;Donikian et al, 2004;Kalmpourtzis et al, 2020;Markouzis and Fessakis, 2016;Mateas and Stern, 2002;Riedl and Young, 2004;Stal et al, 2019;Szilas, 2003;Weiss et al, 2005) centring around narrative control, the duality between the character and plot, and the potential for planning techniques for action generation (Stern, 2008). However, the quality of the interactive content produced in terms of images and motion is still inferior when compared to the live-action film quality (De Lima et al, 2018).…”

Section: The Potential Of Transformative Video Design For Supporting Wellbeingmentioning

confidence: 99%

The potential of transformative video design for improving caregiver’s wellbeing

Petrovic

Gaggioli

2021

Health Psychology Open

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The existing interventions for informal caregivers assist with managing health outcomes of the role burden. However, the deeper meaning-making needs of informal caregivers have been generally neglected. This paper reflects on the meaning-making needs of informal caregivers, through the theory of narrative identity, and proposes a new approach – the Transformative Video Design technique delivered via video storytelling. Transformative Video Design assists informal caregivers to re-create a cohesive caregiving story and incorporate it into the narrative identity. The technique is used as a stimulus for triggering the self-re-structure within the narrative identity and facilitating role transformation.

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Scheherazade’s Tavern: A Prototype For Deeper NPC Interactions

Cited by 10 publications

References 10 publications

Can We Detect Non-playable Characters’ Personalities Using Machine And Deep Learning Approaches?

Can We Detect Non-playable Characters’ Personalities Using Machine And Deep Learning Approaches?

Towards Explainable Social Agent Authoring tools: A case study on FAtiMA-Toolkit

The potential of transformative video design for improving caregiver’s wellbeing

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