- Consider task feasibility
- Focus on actionable task 
- Leverage context 
- Realize potential for personalization 

University of Michigan - Ann Arbor

The results show the strong performance of machine-learned model for automatically detecting microtasks. Analysis show an importance of the behavioral features and the strength of the model based on textual features. Some desire in integrating features related to the user’s task history. 

Summary of Findings of Microtask Detection Study

White, Ryen W., et al. “Microtask Detection.” ACM Transactions on Information Systems, vol. 39, no. 2, 2021, pp. 1–29., https://doi.org/10.1145/3432290. 

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