@inproceedings{b34093e567fc49b69bf170145f6cd3bf,
title = "Agency Flow in a Multi-user Ridesharing System",
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.",
keywords = "ai-infused systems, sociotechnical environment, survey study, user agency",
author = "Adenuga, {Iyadunni J.} and Dodge, {Jonathan E.}",
note = "Publisher Copyright: {\textcopyright} 2024 ACM.; 27th ACM Conference on Computer-Supported Cooperative Work and Social Computing, CSCW Companion 2024 ; Conference date: 09-11-2024 Through 13-11-2024",
year = "2024",
month = nov,
day = "13",
doi = "10.1145/3678884.3681872",
language = "English",
series = "Proceedings of the ACM Conference on Computer Supported Cooperative Work, CSCW",
publisher = "Association for Computing Machinery",
pages = "336--341",
editor = "Michael Bernstein and Amy Bruckman and Ujwal Gadiraju and Aaron Halfaker and Xiaojuan Ma and Fabiano Pinatti and Miriam Redi and David Ribes and Saiph Savage and Amy Zhang",
booktitle = "CSCW Companion 2024 - Companion of the 2024 Computer-Supported Cooperative Work and Social Computing",
}