• Media type: E-Book
  • Title: Calendar.Help : Designing a Workflow-Based Scheduling Agent with Humans in the Loop
  • Contributor: Cranshaw, Justin [Author]; Elwany, Emad [Other]; Newman, Todd [Other]; Kocielnik, Rafal [Other]; Yu, Bowen [Other]; Soni, Sandeep [Other]; Teevan, Jaime [Other]; Monroy-Hernandez, Andres [Other]
  • imprint: [S.l.]: SSRN, [2017]
  • Extent: 1 Online-Ressource (12 p)
  • Language: English
  • DOI: 10.2139/ssrn.2940295
  • Identifier:
  • Origination:
  • Footnote: In: Proceedings of the 2017 CHI Conference on Human Factors in Computing Systems
    Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments March 24, 2017 erstellt
  • Description: Although information workers may complain about meetings, they are an essential part of their work life. Consequently, busy people spend a significant amount of time scheduling meetings. We present Calendar.help, a system that provides fast, efficient scheduling through structured workflows. Users interact with the system via email, delegating their scheduling needs to the system as if it were a human personal assistant. Common scheduling scenarios are broken down using well-defined workflows and completed as a series of microtasks that are automated when possible and executed by a human otherwise. Unusual scenarios fall back to a trained human assistant who executes them as unstructured macrotasks. We describe the iterative approach we used to develop Calendar.help, and share the lessons learned from scheduling thousands of meetings during a year of real-world deployments. Our findings provide insight into how complex information tasks can be broken down into repeatable components that can be executed efficiently to improve productivity
  • Access State: Open Access