Understanding Data Usage when Making High-Stakes Frontline Decisions in Homelessness Services
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arXiv
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| Format: | Preprint |
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2025
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| author | Masrani, Teale W. Messier, Geoffrey Voida, Amy Dimitropoulos, Gina He, Helen Ai |
| author_facet | Masrani, Teale W. Messier, Geoffrey Voida, Amy Dimitropoulos, Gina He, Helen Ai |
| contents | Frontline staff of emergency shelters face challenges such as vicarious trauma, compassion fatigue, and burnout. The technology they use is often not designed for their unique needs, and can feel burdensome on top of their already cognitively and emotionally taxing work. While existing literature focuses on data-driven technologies that automate or streamline frontline decision-making about vulnerable individuals, we discuss scenarios in which staff may resist such automation. We then suggest how data-driven technologies can better align with their human-centred decision-making processes. This paper presents findings from a qualitative fieldwork study conducted from 2022 to 2024 at a large emergency shelter in Canada. The goal of this fieldwork was to co-design, develop, and deploy an interactive data-navigation interface that supports frontline staff when making collaborative, high-stakes decisions about individuals experiencing homelessness. By reflecting on this fieldwork, we contribute insight into the role that administrative shelter data play during decision-making, and unpack staff members' apparent reluctance to outsource decisions about vulnerable individuals to data systems. Our findings suggest a data-outsourcing continuum, which we discuss in terms of how designers may create technologies to support compassionate, data-driven decision-making in nonprofit domains. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2510_14141 |
| institution | arXiv |
| publishDate | 2025 |
| record_format | arxiv |
| spellingShingle | Understanding Data Usage when Making High-Stakes Frontline Decisions in Homelessness Services Masrani, Teale W. Messier, Geoffrey Voida, Amy Dimitropoulos, Gina He, Helen Ai Human-Computer Interaction Frontline staff of emergency shelters face challenges such as vicarious trauma, compassion fatigue, and burnout. The technology they use is often not designed for their unique needs, and can feel burdensome on top of their already cognitively and emotionally taxing work. While existing literature focuses on data-driven technologies that automate or streamline frontline decision-making about vulnerable individuals, we discuss scenarios in which staff may resist such automation. We then suggest how data-driven technologies can better align with their human-centred decision-making processes. This paper presents findings from a qualitative fieldwork study conducted from 2022 to 2024 at a large emergency shelter in Canada. The goal of this fieldwork was to co-design, develop, and deploy an interactive data-navigation interface that supports frontline staff when making collaborative, high-stakes decisions about individuals experiencing homelessness. By reflecting on this fieldwork, we contribute insight into the role that administrative shelter data play during decision-making, and unpack staff members' apparent reluctance to outsource decisions about vulnerable individuals to data systems. Our findings suggest a data-outsourcing continuum, which we discuss in terms of how designers may create technologies to support compassionate, data-driven decision-making in nonprofit domains. |
| title | Understanding Data Usage when Making High-Stakes Frontline Decisions in Homelessness Services |
| topic | Human-Computer Interaction |
| url | https://arxiv.org/abs/2510.14141 |