Human-AI Collaboration

Alignment–Process–Outcome: Rethinking How AIs and Humans Collaborate

Haichang Li, Anjun Zhu, Arpit Narechania

ACM CHI (LBW) · 2026

Teaser for Alignment–Process–Outcome: Rethinking How AIs and Humans Collaborate

Abstract

In real-world collaboration, alignment, process structure, and outcome quality do not exhibit a simple linear correspondence. We reconceptualize collaboration through task and intent lenses and propose a unified dynamic view of the relationships among alignment, process, and outcome across Human–Human, AI–AI, and Human–AI settings.

Citation

@inproceedings{li2026alignmentprocessoutcome,
  author = {Li, Haichang and Zhu, Anjun and Narechania, Arpit},
  title = {{Alignment--Process--Outcome: Rethinking How AIs and Humans Collaborate}},
  booktitle = {Extended Abstracts of the 2026 CHI Conference on Human Factors in Computing Systems},
  year = {2026},
  publisher = {ACM},
  pages = {1--7},
  doi = {10.1145/3772363.3799032}
}