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Living with Bats: Designing an Interactive Space for Human-Wildlife Cohabitation

Authors: Joseph Samuel Johnson; Jacob Koch; Rob Grace; Feifei Pang; Roshanak Basty; Mustapha Yakubu; Emmanuel Gyamfi; +5 Authors

Living with Bats: Designing an Interactive Space for Human-Wildlife Cohabitation

Abstract

An estimated 1 million plant and animal species are threatened with extinction. While opportunities for conservation occur in human-dominated landscapes, negative perceptions of wildlife reshape these possibilities into conflicts. To imagine how technology can help, we held co-design workshops to identify features users wanted in a digital system for learning about and appreciating bats living in a suburban park building. The interactive system was designed to be used by park visitors, employees, and interested others. Participants co-designed features that promoted engaging and entertaining content, such as live streams and activity profiles of individual bats. Participants also expressed desire for accessible opportunities for interaction with a community of users and experts in order to counter misconceptions about bats and highlight their roles in our communities. However, when critiqued from a cohabitation perspective, these features prioritize the needs of human users and neglect those of bats. Elaborating cohabitation as a generative theory for the design of co-living systems and spaces, we outline design implications for shared habitats, co-adaptation, and mutual benefit. Digital systems can facilitate cohabitation between humans and wildlife, however, explicit concern for shared habitats, co-adaptation, and mutual benefit must be incorporated within co-design processes that involve human and animal participation.

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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!
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