Agency Flow in a Multi-user Ridesharing System
Pages 336 - 341
Abstract
In modern versions of sociotechnical environments, people's actions are moderated by algorithms. This usually leads to prioritizing a particular group of people's experience over the other. If AI-infused systems are to be introduced to these environments, success requires that people (regardless of roles and capacities) feel in control. We performed a preliminary exploratory study with 28 participants on Prolific with ridesharing experience using some ridesharing environment descriptions from the views of different user roles at varying agency levels. We found that prioritizing one group over the other can lead to a net negative experience for all the user groups. Enabling agency for all user groups was more likely to lead to positive characteristics like negotiation and collaboration than the logical expectations of conflict.
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Index Terms
- Agency Flow in a Multi-user Ridesharing System
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November 2024
755 pages
ISBN:9798400711145
DOI:10.1145/3678884
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