Table 8.
Artificial Intelligence Affordances in Macro-Task Crowdsourcing Facilitation
| ID | Affordance Name |
Description | Exemplary AI Augmentation |
|---|---|---|---|
| 1) | Contribution Assessment | AI affords in-depth analysis of the quality of workers’ contributions to identify valuable ideas and extract relevant input for further processing. | Semantical natural language processing to remove unnecessary information |
| 2) | Improvement Triggering | AI affords identification and nudging of non or less-active workers towards higher participation and triggers improvement measures for inadequate contributions. | Nudging during contribution creation based on natural language understanding |
| 3) | Operational Assistance | AI affords support for workers through the whole process of contribution development, including the identification of relevant ideas, elaboration of (interim) results, and submission of the final contribution. | AI chat assistants to answer questions during the contribution creation process |
| 4) |
Workflow Enrichment |
AI affords the provision and integration of useful information and knowledge to a predefined workflow, enabling highly productive collaboration among workers. | Natural language understanding to identify mismatches between the facilitator’s proposed task and the workers’ contributions |
| 5) | Collaboration Guidance | AI affords collective guidance for workers during their collaboration on the platform in such a way that they will focus on a predefined goal relating to the overarching problem. | Sentiment detection to generate semantic embeddings of the workers’ contributions |
| 6) |
Worker Profiling |
AI affords analysis of the network of workers to track the skills and activity of individuals as well as to monitor the quality of their created contributions. | (Social) Network algorithms to generate activity reports from the crowdsourcing platform data |
| 7) | Decision-making Preparation | AI affords aggregate outcomes and synthesizes relevant contributions and, therefore, creates a valuable foundation for decision-makers. | Summary generation algorithms to synthesize the free-text contributions of the workers |