Co-Design Disaster Management Chatbot with Indigenous Communities

Chun Hua Tsai, Paul Rayi, Sathvik Kadire, Yi Fan Wang, Sarah Krafka, Edouardo Zendejas, Yu Che Chen

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Scopus citations

Abstract

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.

Original languageEnglish (US)
Title of host publicationProceedings - 20th Global Information Systems for Crisis Response and Management Conference, ISCRAM 2023
PublisherInformation Systems for Crisis Response and Management, ISCRAM
Pages1-12
Number of pages12
ISBN (Electronic)9798218217495
StatePublished - 2023
Event20th Global Information Systems for Crisis Response and Management Conference, ISCRAM 2023 - Omaha, United States
Duration: May 28 2023May 31 2023

Publication series

NameProceedings of the International ISCRAM Conference
Volume2023-text
ISSN (Electronic)2411-3387

Conference

Conference20th Global Information Systems for Crisis Response and Management Conference, ISCRAM 2023
Country/TerritoryUnited States
CityOmaha
Period5/28/235/31/23

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Information Systems
  • Information Systems and Management
  • Electrical and Electronic Engineering

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