Creative arcs in improvised human-computer embodied performances

Jacob, Mikhail; Magerko, Brian

doi:10.1145/3235765.3235827

Cited by 9 publications

(6 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The Props game allowed us to study short sequences of related actions between players with a common prop, without requiring them to create full narratives. A simplified version of the Props game with a limited set of abstract props and no dialogue exchange was used to study improvisational action selection in the VR installationthe Robot Improv Circus (figure 1) [13]. The Robot Improv Circus allows players to improvise with a virtual agent.…”

Section: The Robot Improv Circusmentioning

confidence: 99%

“…Creative arc negotiation for playing the Props game in the Robot Improv Circus is implemented in the CARNIVAL (Creative ARc Negotiating Improvisational Virtual Agent pLatform) agent architecture [13]. The term 'negotiation' is used because the agent considers and weights estimates of novelty, unexpectedness, and quality for both the human participant's actions and its own while following a given creative arc.…”

Section: Creative Arc Negotiation In Carnivalmentioning

confidence: 99%

“…Previous work [13] proposed creative arc negotiation as one solution for improvisational action selection inspired by perceived experiential arcs found in many creative fields. An agent using this approach is intrinsically motivated to negotiate an author-specified 'creative arc' along with a human improviser, selecting actions to best follow it during an improvised performance (see section 4).…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Empirically Evaluating Creative Arc Negotiation for Improvisational Decision-making

Jacob

Magerko

2021

Creativity and Cognition

Self Cite

View full text Add to dashboard Cite

Action selection from many options with few constraints is crucial for improvisation and co-creativity. Our previous work proposed creative arc negotiation to solve this problem, i.e., selecting actions to follow an author-defined 'creative arc' or trajectory over estimates of novelty, unexpectedness, and quality for potential actions. The CARNIVAL agent architecture demonstrated this approach for playing the Props game from improv theatre in the Robot Improv Circus installation. This article evaluates the creative arc negotiation experience with CARNIVAL through two crowdsourced observer studies and one improviser laboratory study. The studies focus on subjects' ability to identify creative arcs in performance and their preference for creative arc negotiation compared to a random selection baseline. Our results show empirically that observers successfully identified creative arcs in performances. Both groups also preferred creative arc negotiation in agent creativity and logical coherence, while observers enjoyed it more too. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI; • Computing methodologies → Artificial intelligence; Neural networks; • Applied computing → Performing arts.

show abstract

Section: The Robot Improv Circusmentioning

confidence: 99%

Section: Creative Arc Negotiation In Carnivalmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Empirically Evaluating Creative Arc Negotiation for Improvisational Decision-making

Jacob

Magerko

2021

Creativity and Cognition

Self Cite

View full text Add to dashboard Cite

show abstract

“…AI mixed initiative process is human and AI collaboration together on a creative task. This task can include painting [20,21,22], designing shoes [23], composing music [24], etc. In this paper, we are focusing only on collaboration in the context of level design.…”

Section: B Ai Mixed Initiative In Gamesmentioning

confidence: 99%

Baba is Y'all: Collaborative Mixed-Initiative Level Design

Charity¹,

Khalifa²,

Togelius³

2020

Preprint

View full text Add to dashboard Cite

We present a collaborative mixed-initiative system for building levels for the puzzle game "Baba is You". Unlike previous mixed-initiative systems, Baba is Y'all is designed for collaborative asynchronous creation by multiple users over the internet. The system includes several AI-assisted features to help designers, including a level evolver and an automated player for playtesting. The level archives catalogues levels according to which mechanics are implemented and not implemented, allowing the system to ask users to design levels with specific combinations of mechanics. We describe the operation of the system and the results of small-scale informal user test, and discuss future development paths for this system as well as for collaborative mixed-initiative systems in general.

show abstract

“…We did not explicitly structure such roles into our models, but still found that users naturally projected different roles onto the same AI and took corresponding roles. Viewpoints AI [26] is an intelligent dance partner installation in which an intelligent dance partner attempts to adapt its performance to its human partner.…”

Section: Ai Co-creationmentioning

confidence: 99%

Friend, Collaborator, Student, Manager

Guzdial

Liao

Chen

et al. 2019

Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems

View full text Add to dashboard Cite

Machine learning advances have afforded an increase in algorithms capable of creating art, music, stories, games, and more. However, it is not yet well-understood how machine learning algorithms might best collaborate with people to support creative expression. To investigate how practicing designers perceive the role of AI in the creative process, we developed a game level design tool for Super Mario Bros.style games with a built-in AI level designer. In this paper we discuss our design of the Morai Maker intelligent tool through two mixed-methods studies with a total of over onehundred participants. Our findings are as follows: (1) level designers vary in their desired interactions with, and role of, the AI, (2) the AI prompted the level designers to alter their design practices, and (3) the level designers perceived the AI as having potential value in their design practice, varying based on their desired role for the AI.

show abstract

Creative arcs in improvised human-computer embodied performances

Cited by 9 publications

References 15 publications

Empirically Evaluating Creative Arc Negotiation for Improvisational Decision-making

Empirically Evaluating Creative Arc Negotiation for Improvisational Decision-making

Baba is Y'all: Collaborative Mixed-Initiative Level Design

Friend, Collaborator, Student, Manager

Contact Info

Product

Resources

About