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Designing-with More-than-Human Through Human Augmentation

Authors: Hu, Botao 'Amber'; Huang, Danlin;

Designing-with More-than-Human Through Human Augmentation

Abstract

The recent more-than-human turn in design calls for "designing-with" other species and ecologies beyond humans. Yet-as Thomas Nagel's famous "What is it like to be a bat?" thought experiment highlights-human experience is constrained by our own sensorium and an irreducible gap in phenomenal access to nonhuman lifeworlds. This paper proposes More-than-Human through Human Augmentation (MtHtHA, denoted ">HtH+") as a design approach that repurposes human augmentation technologies-typically aimed at enhancing human capabilities-away from human optimization and exceptionalism but toward eco-phenomenological awareness. Grounded in somaesthetic design and eco-somatics, MtHtHA entails creating temporary, embodied experiences that modulate the human Umwelt to re-sensitize us to pluriversal more-than-human perceptions. We articulate seven design principles and report five design cases-EchoVision (bat-like echolocation), FeltSight (star-nosed-mole tactile navigation), FungiSync (fungal network attunement), TentacUs (octopus-like distributed agency), and City of Sparkles (urban data from AI's perspective). We demonstrate that such experiential "designing-with" can cultivate ecological awareness, empathy and obligations of care across species boundaries.

Submitted to DRS 2026

Keywords

Human-Computer Interaction

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average