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Author (up) Tsai, C.-H.; Rayi, P.; Kadire, S.; Wang, Y.-F.; Krafka, S.; Zendejas, E.; Chen, Y.-C. pdf  doi
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  Title Co-Design Disaster Management Chatbot with Indigenous Communities Type Conference Article
  Year 2023 Publication Proceedings of the 20th International ISCRAM Conference Abbreviated Journal Iscram 2023  
  Volume Issue Pages 1-12  
  Keywords Native American; Emergency Management; Artificial intelligence; Conversational Agent; Human-Centered Computing  
  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.  
  Address Technical University of Darmstadt  
  Corporate Author Thesis  
  Publisher University of Nebraska at Omaha Place of Publication Omaha, USA Editor Jaziar Radianti; Ioannis Dokas; Nicolas Lalone; Deepak Khazanchi  
  Language English Summary Language Original Title  
  Series Editor Hosssein Baharmand Series Title Abbreviated Series Title  
  Series Volume Series Issue Edition 1  
  ISSN ISBN Medium  
  Track Usability and Universal Design of ICT for Emergency Management Expedition Conference  
  Notes http://dx.doi.org/10.59297/RZLJ7481 Approved no  
  Call Number ISCRAM @ idladmin @ Serial 2501  
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