"I Don't Want Parents to Watch My Lessons" – Privacy Trade-offs in the Use of Telepresence Robots in Schools for Children with Long-term Illnesses

Telepresence robots offer great opportunities for children with long-term illnesses to continue attending school. Consequently, they are already used if children are absent for long periods. When designing such systems, the privacy of various stakeholders must be considered. However, conflicts often arise because the privacy requirements of different user groups cannot be fulfilled simultaneously. In this paper, we analyze the corresponding trade-offs that have to be made when designing telepresence robots under conflicting privacy requirements. We analyzed previous literature and held three workshops with different user groups (children, parents, teachers, head teachers, media educators, and supporting personnel) with and without experience with telepresence robots in schools. Based on the literature and the workshop results, we present four major privacy trade-offs we identified and discuss design approaches for them. With this work, we contribute to the design research on telepresence robots in schools by revealing the major privacy-related conflicts and potential design approaches to overcome the conflicts.

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Published
2024-08-26
DOI
https://doi.org/10.1145/3670653.3677509
Citations
4
Primary Topic
Digital Mental Health Interventions
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article
Field-Weighted Citation Impact
1.64
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article

"I Don't Want Parents to Watch My Lessons" – Privacy Trade-offs in the Use of Telepresence Robots in Schools for Children with Long-term Illnesses

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4 citations
Digital Mental Health Interventions
1.64
article

"I Don't Want Parents to Watch My Lessons" – Privacy Trade-offs in the Use of Telepresence Robots in Schools for Children with Long-term Illnesses

Michael Prilla, Luca Hernández Acosta, Sebastian Büttner, Delphine Reinhardt, Paul G. Neumann
article en
4 citations

Abstract

Telepresence robots offer great opportunities for children with long-term illnesses to continue attending school. Consequently, they are already used if children are absent for long periods. When designing such systems, the privacy of various stakeholders must be considered. However, conflicts often arise because the privacy requirements of different user groups cannot be fulfilled simultaneously. In this paper, we analyze the corresponding trade-offs that have to be made when designing telepresence robots under conflicting privacy requirements. We analyzed previous literature and held three workshops with different user groups (children, parents, teachers, head teachers, media educators, and supporting personnel) with and without experience with telepresence robots in schools. Based on the literature and the workshop results, we present four major privacy trade-offs we identified and discuss design approaches for them. With this work, we contribute to the design research on telepresence robots in schools by revealing the major privacy-related conflicts and potential design approaches to overcome the conflicts.

University of Duisburg-Essen (DE), University of Göttingen (DE)
Reduced inequalities
Openalex Percentile: Top 15%
Digital Mental Health Interventions
1.64
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