Use case
A workplace assistant that knows which task you are on and sends the next useful step
A company could give its staff an assistant that reads where they are and what they are doing (the job, the screen, the place) and offers a short instruction for that step, so people learn while they work instead of in a separate course.
Why the patent was made
Claim: hypothesis
The patent was written for learning inside the work: it senses the context of a task, including where the person is, finds the information that fits, and sends it in small blocks. A chatbot that waits to be asked misses the moment; this assistant offers help when the task shows it is needed.
What would show this claim is wrong
- Staff ignoring offered steps as often as they ignore help they did not ask for would show this wrong.
What could be built and who would pay
Claim: hypothesis
A field-service, healthcare or manufacturing company could use it for tasks that are done rarely and done wrong often. The buyer is the operations leader, who pays for fewer errors and less time spent on refresher training.
What would show this claim is wrong
- Operations leaders who measure no drop in errors on the chosen tasks would show this wrong.
A first step
Claim: hypothesis
Pick one rarely done task that often goes wrong. Write five short steps for it. Have the assistant offer them when the task starts, for one team, and compare that team's error count with a team that works as before.
What would show this claim is wrong
- The same error count in both teams after a month would show the first step does not pay off.
Related
- A course that sends help the moment a learner gets stuck
- A tutoring chatbot that answers with the piece of the lesson the student needs now
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