Use Twine to Build a Chatbot – by Bill Brandon


Improving communication skills has benefits in almost any task, but they skills to practice requiring role play or technology. But there’s a cheap, easy-to-use instrument available to make conversation simulations for training.
Twine is a simple, free instrument for producing interactive text tales in HTML. It is intended for games but it has enormous potential for chatbots that were easy and training. In this interview, Paul Bills talked about how learning professionals may use Twine to make training.
PB: I use Twine as a kind of degree. Twine can create an experience quite similar to any of those training chatbots I’ve worked with in which the user selects options in a situation although twine doesn’t make chatbots as per lots of people’s definition of chatbots.
That is a particular kind of chatbot, and Twine is built for that approach. Since I’d made some chatbots along those lines, I recalled Twine and went back to it came up with this kind of chatbot in which the chatbot is introducing a situation and requesting an individual to select an option in that situation to see how the story plays out.
That is exactly what Twine is constructed for. While some people would take issue with me saying to use chatbots to be made by Twine, that what I mean . Twine can make this kind of scenario-based chatbot in which the computer is”talking” to you and you are selecting what to say back. So it’s ideal for that use case.
BB: Can you advocate storyboarding or scripting the interactive tales for scenario-based communication skills training using a chatbot?
I really don’t have a particular recommendation of how to get it done or which method–scripting or storyboarding or every kind of planning process –but definitely you want to plan it out and make sure it’s producing. Instruction is letting results surprise the user, where I think it’s best in communications. Simulations become interesting when they let you fail, even when you do that on purpose to find out what could happen.
Have a strategy such as those whenever they believe that they’re choosing something appropriate but maybe they know it might not be the answer that is right.
Strategy for all these scenarios whether you do that or via scripting. Where it might go you want to go in using a picture of, not the core conversation but those branches too, and in which it might lead.
BB: How complex does your branching get in such simulations?
PB: That is really up to you. Twine as a tool isn’t confined by the amount of branches. It is up to you can be.
That being said, there are limitations to. What we discovered in building chatbots is that you want three or more core branches: the state; the just and the work that is great. You want those three scenarios to keep it interesting.
Within those you could start heading down the route that is negative early and those are the sorts of core branches and make decisions. And then maybe if you make right decisions within the route that is negative, you contact the neutral path, then to contact the path.
But that’s all determined by how long you need to plan out and construct your story’s complexity, but Twine is so limitless like that. It is as much as you desire.
BB: Are the bot responses in text, or do you really do use voice talent or even the programmer’s own voice?
PB: Actually the majority are only text. It is simply reading the text forth and . You are able to add voice and if so, if you’re able, I’d say do it. Doing the voice yourself keeps that funding low. But if you’re going to add voice, you don’t want the voice acting to remove from the experience. So, voice acting that is not apparent or quite as positive might really pull people out of this story you’re trying to make, then they start focusing on the quality of the acting itself. In most cases I would recommend no voice whatsoever –just the text conversation because then people are able to fill in the voice in their head and that helps them stay immersed in the narrative.
BB: How much communication skills training could chatbots carry?
PB: Yeah, that is a good question. It. Generally, especially at first when you’re starting out, this really is a nutritional supplement to another kind of training. So maybe you watch a video, then afterward the training application says,”Hey, let us practice what you learned in that video, in this chatbot conversation.” And after that you may try several distinct scenarios concerning what was just instructed in the video, or in an in-house course.
Some of the use cases for it could be pre-work, at which before they choose an eLearning of some kind or before somebody arrives to a formal training session, you ask them to try out some scenarios. A popular use case for this can be for managers–people who were individual contributors before, being promoted to a manager. They have to manage these scenarios that they weren’t dealing with before. This may be a great way to introduce them to all those kind of scenarios at a stakes way. You give them deal with somebody whose quality of work is currently falling, or a conversation simulator made in Twine that asks them to take care of someone who’s constantly late. You can do that in front of a formal training. If they move into that simulation and also they see that someone decides to quit their job as you didn’t manage it right, or you notice someone’s struggling because you’re not providing them the coaching. Those consequences can be seen by them. Prior to a formal training about communicating skills, in which you know no real men and women are being influenced, that may be a great intro in that stakes way.
You deliver some training, with some explanation directly within the program, and might have simulators like this. Then the user has to make a choice based on what they learned. You might have that kind of back and forth, and also do all the training within the situation itself, and then I’d likely recommend at least a kind of group discussion then to assist digest what was learned and what occurred so that they understand how to interpret what they simply did there into the workplace, and it’s kind of cemented in. It may be a really fantastic supplement although rarely is it that the whole experience.
BB: It seems like this’ circumstance is generally whether say in an online scenario where everybody is linked and at locations that are distant, for example, using Zoom, or in a classroom setting.
PB: It is usually where there’s a cohort of individuals all taking some kind of training together. And , when they split , then you introduce something like this to keep them keep them thinking about that.
BB: Who answered one? But if you’re in a cohort or in a group setting , then that’s taken care of.
PB: I want to encourage people to experiment with this. I’ve seen similar sorts of trainings out there. I believe anyone who’s ready to experiment with it’ll find out a lot. That my aim.
Paul Bills will enlarge on the use of chatbots in his session,”Construct Your Own Chatbots for Conversation Simulation with Twine”, April 23, at The eLearning Guild’s L&D to a Shoestring Online Conference.
In this session, Paul will show you:
The Way to use a complimentary, Twine interactive storytelling application
Best practices for conversation simulation design
Other chatbot tools that can expand training and your conversation simulation
How chatbots can support training
The Way to export Twine tales to HTML for Simple integration in your existing learning ecosystem


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