Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-Making

Digitally-supported participatory methods are often used in policy-making to develop inclusive policies by collecting and integrating citizen's opinions. However, these methods fail to capture the complexity and nuances in citizen's needs, i.e., citizens are generally unaware of other's needs, perspectives, and experiences. Consequently, policies developed with this underlying gap tend to overlook the alignment of multistakeholder perspectives, and design policies based on the optimization of high-level demographic features. In our contribution, we propose a method to enable citizens understand other's perspectives and calibrate their positions. First, we collected requirements and design principles to develop our approach by involving stakeholders and experts in policymaking in a series of workshops. Then, we conducted a crowdsourcing study with 420 participants to compare the effect of different text and images, on people's initial and final motivations and their willingness to change opinions. We observed that both influence participant's opinion change, however, the effect is more pronounced for textual modality. Finally, we discuss overarching implications of designing with empathy to mediate alignment of citizen's perspectives.

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Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2024-11-07
DOI
https://doi.org/10.1145/3686908
Citations
2
Primary Topic
Mind wandering and attention
Type
article
Field-Weighted Citation Impact
0.69

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article

Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-Making

Himanshu Verma, Yen-Chia Hsu, Alessandro Bozzon, Andrea Tocchetti et al.
2 citations
Proceedings of the ACM on Human-Computer Interaction
Mind wandering and attention
0.69
article

Policy Sandboxing: Empathy As An Enabler Towards Inclusive Policy-Making

Himanshu Verma, Yen-Chia Hsu, Alessandro Bozzon, Andrea Tocchetti, Andrea Mauri, Marco Brambilla
article en
2 citations

Abstract

Digitally-supported participatory methods are often used in policy-making to develop inclusive policies by collecting and integrating citizen's opinions. However, these methods fail to capture the complexity and nuances in citizen's needs, i.e., citizens are generally unaware of other's needs, perspectives, and experiences. Consequently, policies developed with this underlying gap tend to overlook the alignment of multistakeholder perspectives, and design policies based on the optimization of high-level demographic features. In our contribution, we propose a method to enable citizens understand other's perspectives and calibrate their positions. First, we collected requirements and design principles to develop our approach by involving stakeholders and experts in policymaking in a series of workshops. Then, we conducted a crowdsourcing study with 420 participants to compare the effect of different text and images, on people's initial and final motivations and their willingness to change opinions. We observed that both influence participant's opinion change, however, the effect is more pronounced for textual modality. Finally, we discuss overarching implications of designing with empathy to mediate alignment of citizen's perspectives.

Proceedings of the ACM on Human-Computer InteractionVol. 8(CSCW2)
Université Claude Bernard Lyon 1 (FR), University of Amsterdam (NL), Politecnico di Milano (IT), Delft University of Technology (NL)
Agence Nationale de la Recherche, Horizon 2020 Framework Programme
Reduced inequalities
Openalex Percentile: Top 30%
Mind wandering and attention
0.69
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