Hallmarks of Human-Machine Collaboration: A framework for assessment in the DARPA Communicating with Computers Program
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Abstract (arXiv)
There is a growing desire to create computer systems that can communicate effectively to collaborate with humans on complex, open-ended activities. Assessing these systems presents significant challenges. We describe a framework for evaluating systems engaged in open-ended complex scenarios where evaluators do not have the luxury of comparing performance to a single right answer. This framework has been used to evaluate human-machine creative collaborations across story and music generation, interactive block building, and exploration of molecular mechanisms in cancer. These activities are fundamentally different from the more constrained tasks performed by most contemporary personal assistants as they are generally open-ended, with no single correct solution, and often no obvious completion criteria. We identified the Key Properties that must be exhibited by successful systems. From there we identified "Hallmarks" of success -- capabilities and features that evaluators can observe that would be indicative of progress toward achieving a Key Property. In addition to being a framework for assessment, the Key Properties and Hallmarks are intended to serve as goals in guiding research direction.
Key facts. Cited by 6 papers in the map (data through 14 Oct 2026). Builds on 4 of its 17 references that are in the map. First posted on arXiv 9 Feb 2021.
Builds on
4 of 17 references.
References · 4
- 2017Simulating Action Dynamics with Neural Process Networkscited by 53
- 2018Discourse-Aware Neural Rewards for Coherent Text Generationcited by 28
- 2016VoxML: A Visualization Modeling Languagecited by 6
- 2017Composition by Conversationcited by 2
Built on by
Citing papers per year: 2021: 1; 2022: 0; 2023: 3; 2024: 0; 2025: 2.
6 papers.
- 2023Exploring XAI for the Arts: Explaining Latent Space in Generative Musiccited by 8
- 2023Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translationcited by 7
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insightscited by 3
- 2025Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativitycited by 2
- 2021"How to best say it?" : Translating Directives in Machine Language into Natural Language in the Blocks Worldcited by 0
- 2023Roots and Requirements for Collaborative AIscited by 0
- 2025Human-Centered AI Communication in Co-Creativity: An Initial Framework and Insights23 May 2025
- 2025Improving User Experience with FAICO: Towards a Framework for AI Communication in Human-AI Co-Creativity3 Apr 2025
- 2023Exploring XAI for the Arts: Explaining Latent Space in Generative Music10 Aug 2023
- 2023Roots and Requirements for Collaborative AIs21 Mar 2023
- 2023Natural Language-conditioned Reinforcement Learning with Inside-out Task Language Development and Translation18 Feb 2023
- 2021"How to best say it?" : Translating Directives in Machine Language into Natural Language in the Blocks World14 Jul 2021