Machine-arranged Interactions Improve Institutional Belonging and Cohesion
<|reference_start|>Machine-arranged Interactions Improve Institutional Belonging and Cohesion: 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.<|reference_end|>
@article{ghassemi2024machine-arranged,
    title={Machine-arranged Interactions Improve Institutional Belonging and
  Cohesion},
    author={Mohammad M. Ghassemi and Tuka Alhanai},
    journal={arXiv preprint arXiv:2407.19565},
    year={2024},
    archivePrefix={arXiv},
    eprint={2407.19565},
    primaryClass={cs.CY}
}