Mixed-Initiative Creative Interfaces

Deterding, Sebastian; Hook, Jonathan; Fiebrink, Rebecca; Gillies, Marco; Gow, Jeremy; Akten, Memo; Smith, Gillian; Liapis, Antonios; Compton, Kate

doi:10.1145/3027063.3027072

Cited by 64 publications

(28 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The term encompasses various different ways of organizing the co-creative process and the human and the machine can play different kinds of roles (for example, see the classifications of such roles by Kantosalo and Jordanous (2020) ; Lubart (2005) ) or contribute to the creative process in different ways ( Kantosalo and Takala, 2020 ). The style of human–computer co-creative interfaces is often similar to mixed-initiative interaction ( Allen et al, 1999 ; Horvitz, 1999 ) for this reason, human–computer co-creativity is sometimes referred to as mixed-initiative co-creativity ( Yannakakis et al, 2014 ) and the related interfaces as mixed-initiative creative interfaces ( Deterding et al, 2017 ). In general human–computer co-creative systems can express various degrees of co-creative intent on a spectrum from full human intent to full computational intent ( Deterding et al, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

“…The style of human–computer co-creative interfaces is often similar to mixed-initiative interaction ( Allen et al, 1999 ; Horvitz, 1999 ) for this reason, human–computer co-creativity is sometimes referred to as mixed-initiative co-creativity ( Yannakakis et al, 2014 ) and the related interfaces as mixed-initiative creative interfaces ( Deterding et al, 2017 ). In general human–computer co-creative systems can express various degrees of co-creative intent on a spectrum from full human intent to full computational intent ( Deterding et al, 2017 ).…”

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Embodiment in 18th Century Depictions of Human-Machine Co-Creativity

2021

View full text Add to dashboard Cite

Artificial intelligence has a rich history in literature; fiction has shaped how we view artificial agents and their capacities in the real world. This paper looks at embodied examples of human-machine co-creation from the literature of the Long 18th Century (1,650–1,850), examining how older depictions of creative machines could inform and inspire modern day research. The works are analyzed from the perspective of design fiction with special focus on the embodiment of the systems and the creativity exhibited by them. We find that the chosen examples highlight the importance of recognizing the environment as a major factor in human-machine co-creative processes and that some of the works seem to precede current examples of artificial systems reaching into our everyday lives. The examples present embodied interaction in a positive, creativity-oriented way, but also highlight ethical risks of human-machine co-creativity. Modern day perceptions of artificial systems and creativity can be limited to some extent by the technologies available; fictitious examples from centuries past allow us to examine such limitations using a Design Fiction approach. We conclude by deriving four guidelines for future research from our fictional examples: 1) explore unlikely embodiments; 2) think of situations, not systems; 3) be aware of the disjunction between action and appearance; and 4) consider the system as a situated moral agent.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

Embodiment in 18th Century Depictions of Human-Machine Co-Creativity

2021

View full text Add to dashboard Cite

show abstract

“…We include interface design aspects but they are not the focus of this survey. However, the need to bridge between developing the core algorithms and the interface in order to support creative and artistic intent has been voiced by past research [DHF*17; Ise16; Sal02], and this work contributes to this effort.…”

Section: Means For Enabling Creativitymentioning

confidence: 99%

A Survey of Control Mechanisms for Creative Pattern Generation

Asente

Mĕch

Beneš

et al. 2021

Computer Graphics Forum

View full text Add to dashboard Cite

We review recent methods in 2D creative pattern generation and their control mechanisms, focusing on procedural methods. The review is motivated by an artist's perspective and investigates interactive pattern generation as a complex design problem. While the repetitive nature of patterns is well-suited to algorithmic creation and automation, an artist needs more flexible control mechanisms for adaptable and inventive designs. We organize the state of the art around pattern design features, such as repetition, frames, curves, directionality, and single visual accents. Within those areas, we summarize and discuss the techniques' control mechanisms for enabling artist intent. The discussion includes questions of how input is given by the artist, what type of content the artist inputs, where the input affects the canvas spatially, and when input can be given in the timeline of the creation process. We categorize the available control mechanisms on an algorithmic level and categorize their input modes based on exemplars, parameterization, handling, filling, guiding, and placing interactions. To better understand the potential of the current techniques for creative design and to make such an investigation more manageable, we motivate our discussion with how navigation, transparency, variation, and stimulation enable creativity. We conclude our review by identifying possible new directions that can inspire innovation for artist-centered creation processes and algorithms. CCS Concepts• Computing methodologies → Computer graphics; • Human-centered computing → Interaction design process and methods; Interaction design theory, concepts and paradigms; Systems and tools for interaction design;

show abstract

“…There have been several efforts [32,33] in enabling mixed-initiative systems in the domain of game design. Most of these works are essentially targeted toward procedural content generation in computer games.…”

Section: Identification Of Gapsmentioning

confidence: 99%

Mini-Map: Mixed-Initiative Mind-Mapping via Contextual Query Expansion

Chen

Subramanian

Krishnamurthy

2019

AIAA Scitech 2019 Forum

View full text Add to dashboard Cite

We present Mini-Map, a novel web-based workflow for mixed-initiative mind-mapping using query expansions enabled by ConceptNet-a large graph-based representation of "commonsense" knowledge. Mind-maps are now widely recognized as thinking tools for creative tasks such as conceptual design. Nonetheless, creating a mind-map can be challenging especially for beginners either due to low domain knowledge or personal inhibition. Despite extensive knowledge databases on the web, there is currently limited computational support to augment users' ability to fully explore the vast information sources available at their disposal. Our work demonstrates that by using the rich relational ontology offered by ConceptNet, we can faithfully emulate human-like collaborative behavior toward useful exploration of ideas in early design. We present a comparative analysis of human-human collaborative mind-mapping and the Mini-Map workflow.

show abstract

Mixed-Initiative Creative Interfaces

Cited by 64 publications

References 17 publications

Embodiment in 18th Century Depictions of Human-Machine Co-Creativity

Embodiment in 18th Century Depictions of Human-Machine Co-Creativity

A Survey of Control Mechanisms for Creative Pattern Generation

Mini-Map: Mixed-Initiative Mind-Mapping via Contextual Query Expansion

Contact Info

Product

Resources

About