Agency Flow in a Multi-user Ridesharing System

Iyadunni J. Adenuga, Jonathan E. Dodge

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

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.

Original languageEnglish
Title of host publicationCSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing
EditorsMichael Bernstein, Amy Bruckman, Ujwal Gadiraju, Aaron Halfaker, Xiaojuan Ma, Fabiano Pinatti, Miriam Redi, David Ribes, Saiph Savage, Amy Zhang
PublisherAssociation for Computing Machinery
Pages336-341
Number of pages6
ISBN (Electronic)9798400711145
DOIs
StatePublished - 13 Nov 2024
Event27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024 - San Jose, Costa Rica
Duration: 9 Nov 202413 Nov 2024

Publication series

NameProceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW

Conference

Conference27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024
Country/TerritoryCosta Rica
CitySan Jose
Period9/11/2413/11/24

Keywords

  • ai-infused systems
  • sociotechnical environment
  • survey study
  • user agency

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