Machine-arranged Interactions Improve Institutional Belonging and Cohesion

Fuente: arXiv
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Main Authors: Ghassemi, Mohammad M., Alhanai, Tuka
Format: Preprint
Published: 2024
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author Ghassemi, Mohammad M.
Alhanai, Tuka
author_facet Ghassemi, Mohammad M.
Alhanai, Tuka
contents We investigated how participation in machine-arranged meetings were associated with feelings of institutional belonging and perceptions of demographic groups. We collected data from 535 individuals who participated in a program to meet new friends. Data consisted of surveys measuring demography, belonging, and perceptions of various demographic groups at the start and end of the program. Participants were partitioned into a control group who received zero introductions, and an intervention group who received multiple introductions. For each participant, we computed twelve features describing participation status, demography and the amount of program-facilitated exposure to others who were similar to them and different from them. We used a linear model to study the association of our features with the participants' final belonging and perceptions while controlling for their initial belonging and perceptions. We found that those who participated in the machine-arranged meetings had 4.5% higher belonging, and 3.9% more positive perception of others.
format Preprint
id arxiv_https___arxiv_org_abs_2407_19565
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle Machine-arranged Interactions Improve Institutional Belonging and Cohesion
Ghassemi, Mohammad M.
Alhanai, Tuka
Computers and Society
We investigated how participation in machine-arranged meetings were associated with feelings of institutional belonging and perceptions of demographic groups. We collected data from 535 individuals who participated in a program to meet new friends. Data consisted of surveys measuring demography, belonging, and perceptions of various demographic groups at the start and end of the program. Participants were partitioned into a control group who received zero introductions, and an intervention group who received multiple introductions. For each participant, we computed twelve features describing participation status, demography and the amount of program-facilitated exposure to others who were similar to them and different from them. We used a linear model to study the association of our features with the participants' final belonging and perceptions while controlling for their initial belonging and perceptions. We found that those who participated in the machine-arranged meetings had 4.5% higher belonging, and 3.9% more positive perception of others.
title Machine-arranged Interactions Improve Institutional Belonging and Cohesion
topic Computers and Society
url https://arxiv.org/abs/2407.19565