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Studying Lived Experience and Automated Systems: The Case of Universal Credit

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Studying Lived Experience and Automated Systems: The Case of Universal Credit. / Currie, Morgan; Podoletz, Lena.
Proceedings of the Association for Information Science and Technology. Vol. 60 1. ed. Association for Information Science and Technology, 2023. p. 547-552 (Proceedings of the Association for Information Science and Technology).

Research output: Contribution in Book/Report/Proceedings - With ISBN/ISSN › Conference contribution/Paper › peer-review

Harvard

Currie, M & Podoletz, L 2023, Studying Lived Experience and Automated Systems: The Case of Universal Credit. in Proceedings of the Association for Information Science and Technology. 1 edn, vol. 60, Proceedings of the Association for Information Science and Technology, Association for Information Science and Technology, pp. 547-552. https://doi.org/10.1002/pra2.813

APA

Currie, M., & Podoletz, L. (2023). Studying Lived Experience and Automated Systems: The Case of Universal Credit. In Proceedings of the Association for Information Science and Technology (1 ed., Vol. 60, pp. 547-552). (Proceedings of the Association for Information Science and Technology). Association for Information Science and Technology. https://doi.org/10.1002/pra2.813

Vancouver

Currie M, Podoletz L. Studying Lived Experience and Automated Systems: The Case of Universal Credit. In Proceedings of the Association for Information Science and Technology. 1 ed. Vol. 60. Association for Information Science and Technology. 2023. p. 547-552. (Proceedings of the Association for Information Science and Technology). doi: 10.1002/pra2.813

Author

Currie, Morgan ; Podoletz, Lena. / Studying Lived Experience and Automated Systems: The Case of Universal Credit. Proceedings of the Association for Information Science and Technology. Vol. 60 1. ed. Association for Information Science and Technology, 2023. pp. 547-552 (Proceedings of the Association for Information Science and Technology).

Bibtex

@inproceedings{fe3053f7568746f6889b9d1167863082,
title = "Studying Lived Experience and Automated Systems: The Case of Universal Credit",
abstract = "This paper applies the concept of {\textquoteleft}lived experiences{\textquoteright} to understand people's subjective and everyday encounters with automated systems. We reflect on how qualitative longitudinal research methods are useful for capturing the affective and emotional dimensions of these experiences; these flexible methods also allow for iterative changes that can react to new findings and participant feedback. Using our empirical study on Universal Credit (UC), the UK's largest social security payment, we demonstrate how studying lived experiences via qualitative longitudinal research helps us reflect on both the topic of the research and our position as researchers in relation to study participants. We argue that the lived experience framework is extremely valuable for understanding the consequences of automated decisions for users of these systems and to redress the uneven power dynamics of representing the voices of those sharing these encounters.",
keywords = "Automated and algorithmic decisions, Digital social security systems, Digitalisation, Lived experience, Qualitative longitudinal research",
author = "Morgan Currie and Lena Podoletz",
year = "2023",
month = oct,
day = "22",
doi = "10.1002/pra2.813",
language = "English",
volume = "60",
series = "Proceedings of the Association for Information Science and Technology",
publisher = "Association for Information Science and Technology",
pages = "547--552",
booktitle = "Proceedings of the Association for Information Science and Technology",
edition = "1",

}

RIS

TY - GEN

T1 - Studying Lived Experience and Automated Systems: The Case of Universal Credit

AU - Currie, Morgan

AU - Podoletz, Lena

PY - 2023/10/22

Y1 - 2023/10/22

N2 - This paper applies the concept of ‘lived experiences’ to understand people's subjective and everyday encounters with automated systems. We reflect on how qualitative longitudinal research methods are useful for capturing the affective and emotional dimensions of these experiences; these flexible methods also allow for iterative changes that can react to new findings and participant feedback. Using our empirical study on Universal Credit (UC), the UK's largest social security payment, we demonstrate how studying lived experiences via qualitative longitudinal research helps us reflect on both the topic of the research and our position as researchers in relation to study participants. We argue that the lived experience framework is extremely valuable for understanding the consequences of automated decisions for users of these systems and to redress the uneven power dynamics of representing the voices of those sharing these encounters.

AB - This paper applies the concept of ‘lived experiences’ to understand people's subjective and everyday encounters with automated systems. We reflect on how qualitative longitudinal research methods are useful for capturing the affective and emotional dimensions of these experiences; these flexible methods also allow for iterative changes that can react to new findings and participant feedback. Using our empirical study on Universal Credit (UC), the UK's largest social security payment, we demonstrate how studying lived experiences via qualitative longitudinal research helps us reflect on both the topic of the research and our position as researchers in relation to study participants. We argue that the lived experience framework is extremely valuable for understanding the consequences of automated decisions for users of these systems and to redress the uneven power dynamics of representing the voices of those sharing these encounters.

KW - Automated and algorithmic decisions

KW - Digital social security systems

KW - Digitalisation

KW - Lived experience

KW - Qualitative longitudinal research

U2 - 10.1002/pra2.813

DO - 10.1002/pra2.813

M3 - Conference contribution/Paper

VL - 60

T3 - Proceedings of the Association for Information Science and Technology

SP - 547

EP - 552

BT - Proceedings of the Association for Information Science and Technology

PB - Association for Information Science and Technology

ER -