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GreenZ: A Sustainable UX Framework for Complex Digital Systems

Trisha Solanki

GreenZ offers a three-layer framework that classifies eight digital wastes and asks if AI is needed before building it.

arxiv:2605.15468 v1 · 2026-05-14 · cs.HC · cs.CY

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Claims

C1strongest claim

GreenZ provides a three-layer Sustainable UX Framework with a Digital Waste Taxonomy classifying eight waste types and an AI Sufficiency Decision Model that prioritizes whether AI should exist in a flow.

C2weakest assumption

The ten published principles combined with five operational frameworks and the new taxonomy and decision model will effectively address digital waste and sustainability without empirical validation or testing.

C3one line summary

GreenZ is a conceptual three-layer sustainable UX framework built on ten principles, five operational systems, and practical tools, centered on an eight-type Digital Waste Taxonomy and a model questioning AI necessity before implementation.

References

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[1] C. Alexander, S. Ishikawa, and M. Silverstein.A Pattern Language: Towns, Build- ings, Construction. Oxford University Press, 1977 1977
[2] InProceedings of the 2019 CHI Conference on Human Factors in Computing Systems (CHI ’19) 2019 · doi:10.1145/3290605
[3] E. Blevis. Sustainable interaction design: Invention & disposal, renewal & reuse. InProc. CHI 2007, 2007. https://doi.org/10.1145/1240624.1240705 2007 · doi:10.1145/1240624.1240705
[4] Crawford.Atlas of AI: Power, Politics, and the Planetary Costs of Artificial Intelligence 2021
[5] K. Crawford and V. Joler. Anatomy of an AI system.AI Now Institute and Share Lab, 2018. https://anatomyof.ai 2018

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First computed 2026-05-20T00:01:00.121447Z
Builder pith-number-builder-2026-05-17-v1
Signature Pith Ed25519 (pith-v1-2026-05) · public key
Schema pith-number/v1.0

Canonical hash

6c49222bf00b25505ff26c2282751960fd5799a223ff7ad748931b090709337a

Aliases

arxiv: 2605.15468 · arxiv_version: 2605.15468v1 · doi: 10.48550/arxiv.2605.15468 · pith_short_12: NRESEK7QBMSV · pith_short_16: NRESEK7QBMSVAX7S · pith_short_8: NRESEK7Q
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curl -sH 'Accept: application/ld+json' https://pith.science/pith/NRESEK7QBMSVAX7SNQRIE5IZMD \
  | jq -c '.canonical_record' \
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Canonical record JSON
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