Extended Abstracts of the 2019 CHI Conference on Human Factors in Computing Systems 2019
DOI: 10.1145/3290607.3299060
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Towards Metrics of Meaningfulness for Tech Practitioners

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Cited by 4 publications
(2 citation statements)
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“…Even though AI systems generate outcomes through the analysis towards data, the meaning for humans is left for subjective interpretations. Researchers in HCI provides a framework and metrics for "meaningful interaction" [9], but still cannot evaluate it since it's subjective. This leaves space for artists and designers to consider how human-AI interactions can become meaningful.…”
Section: Related Workmentioning
confidence: 99%
“…Even though AI systems generate outcomes through the analysis towards data, the meaning for humans is left for subjective interpretations. Researchers in HCI provides a framework and metrics for "meaningful interaction" [9], but still cannot evaluate it since it's subjective. This leaves space for artists and designers to consider how human-AI interactions can become meaningful.…”
Section: Related Workmentioning
confidence: 99%
“…Generative AI accentuates generative art's fluidity and procedural attributes, underscoring its potential to encapsulate the dynamism inherent in cultural expressions derived from trained data. Within this medium, artists must craft systems and interfaces that navigate the latent space, ensuring meaningful connections to the artwork produced by having meaningful human control [11] and interaction [4].…”
Section: Introductionmentioning
confidence: 99%