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Co-Design Disaster Management Chatbot with Indigenous Communities
Tsai
C-H
author
Rayi
P
author
Kadire
S
author
Wang
Y-F
author
Krafka
S
author
Zendejas
E
author
Chen
Y-C
author
2023
University of Nebraska at Omaha
Omaha, USA
1
English
Indigenous communities are disproportionately impacted by rising disaster risk, climate change, and environmental degradation due to their close relationship with the environment and its resources. Unfortunately, gathering the necessary information or evidence to request or co-share sufficient funds can be challenging for indigenous people and their lands. This paper aims to co-design an AI-based chatbot with two tribes and investigate their perception and experience of using it in disaster reporting practices. The study was conducted in two stages. Firstly, we interviewed experienced first-line emergency managers and invited tribal members to an in-person design workshop. Secondly, based on qualitative analysis, we identified three themes of emergency communication, documentation, and user experience. Our findings support that indigenous communities favored the proposed Emergency Reporter chatbot solution. We further discussed how the proposed chatbot could empower the tribes in disaster management, preserve sovereignty, and seek support from other agencies.
Native American
Emergency Management
Artificial intelligence
Conversational Agent
Human-Centered Computing
http://dx.doi.org/10.59297/RZLJ7481
exported from refbase (http://idl.iscram.org/show.php?record=2501), last updated on Sat, 16 Sep 2023 21:13:29 +0200
text
http://idl.iscram.org/files/tsai/2023/2501_Tsai_etal2023.pdf
http://dx.doi.org/10.59297/RZLJ7481
Tsai_etal2023
Proceedings of the 20th International ISCRAM Conference
Iscram 2023
Jaziar Radianti
editor
Ioannis Dokas
editor
Nicolas Lalone
editor
Deepak Khazanchi
editor
2023
University of Nebraska at Omaha
Omaha, USA
1
conference publication
1
12
Hosssein Baharmand
editor
1