Use Twine to Create a Chatbot – by Bill Brandon


Improving communication abilities has advantages in any job, but they abilities to clinic –normally requiring technology or role play. But there is a cheap, easy-to-use instrument available to make conversation simulations for training.
Twine is a simple, free, open-source instrument for producing interactive text tales in HTML. It’s meant for games but it has huge potential for chatbots that were easy and training. In this interview, Paul Bills talked about learning professionals can use Twine to make training.
PB: I use Twine as a kind of first level. Twine does not make chatbots as per lots of people’s definition of chatbots but Twine can create an experience very similar to any of the training chatbots I have worked with in which the user selects options in a situation.
That’s a kind of chatbot, and Twine is built for that approach. Since I’d created some chatbots along those lines, I remembered Twine and moved back to it and came up with this kind of chatbot in which the chatbot is presenting a situation and asking an individual to pick a choice in that situation to understand how the story plays out.
That’s precisely what Twine is constructed for. That’s what I mean , while some folks would take issue with me saying to use Twine to create chatbots. Twine will make this kind of scenario-based chatbot in which the pc is”speaking” to you and you are choosing what to anticipate. So it is perfect for this specific use case.
BB: Can you advocate storyboarding or scripting the interactive tales for scenario-based communication skills training using a chatbot?
PB: Yeah, definitely. I really don’t have a specific recommendation of the way to get it done or which strategy –scripting or storyboarding or any other kind of planning method–but definitely you want to plan it out and also make sure it’s producing the experience you want to produce. Instruction is letting outcomes surprise the user where I think it’s best in communications. Simulations become fun when they allow you neglect when you do this on purpose to see what would happen.
Have a plan including those in which the user fails to see what occurs but also where they are surprised–whenever they think that they’re picking something appropriate but perhaps they know it might not be the right response.
Strategy for all these situations whether you do this in storyboarding or through scripting. Where it might go you want to go in using an image of, not just the conversation but those branches as well, and in which it might lead.
PB: That’s up to you. The number of branchesn’t limits twine as an instrument. It’s up to the way resource-intensive you can be much time and how much preparation you want to put into it.
That being said, there are natural limitations to what most designers are able to do given the amount of time they have. What we found in constructing chatbots is that you want three or more core branches: the state; the just and also the great work. You want those three situations to keep it interesting.
Those are the kinds of core branches and within those you could start heading down the path and make decisions within that path. And then maybe if you make decisions within the negative path, you get back to the path that is neutral, and then to get back to the path.
But that’s all dependent on how much time you need to plan out and build the complexity of your story, but as an instrument Twine is really limitless that way. It’s as much as you need.
BB: do you do use even the programmer’s own voice or professional voice talent, or Are the bot answers in text?
PB: Actually the majority of the ones I have done are purely text. It’s simply reading the text back and forth. You are able to add voice and if you are competent enough, I’d say do it. Doing the voice keeps that budget low. But if you are going to add voice, the voice acting to remove from the experience isn’t wanted by you. Voice acting that is not as apparent or as confident might really pull people out of this story you are trying to make, and then they start focusing on the character of the acting. So in many cases I would recommend no voice whatsoever –merely the text interaction since people are able to fill in the voice within their head which helps them remain immersed in the story.
BB: How much communication skills training could chatbots carry?
PB: Yeah, that is a good question. It’s just one we continue to research in my job. Generally at this is a nutritional supplement to another kind of training. So perhaps you see a movie, and then afterward the training application states,”Hey, let’s practice what you learned in that movie, within this chatbot conversation.” And after that you can try many distinct situations relating to what was just instructed in the movie, or within an instructor-led class.
Some of the more interesting use cases for it would be pre-work, where before someone comes to a formal training session or before they choose an eLearning of some kind, you ask them to try out some situations. A popular use case for this can be for new managers–people who have been individual subscribers currently being promoted to a supervisor. They must deal that they n’t dealt with earlier. This can be a excellent way to present them at a stakes way to all those kind of situations. You provide them deal with someone whose quality of work is slowly currently falling, or a dialogue simulator made in Twine that requests them to deal with someone who’s always late. You can do this before a formal training. Should they go into that simulator and they see that someone decides to quit their job as you didn’t handle it right, or you notice someone’s fighting since you are not providing them the correct coaching. Those consequences can be seen by them. In that low bets way, in which you know no people are being affected, that can be a great intro prior to a formal training about communication abilities.
You could have simulators like this, with some excess explanation and provide some training with graphics and text. Then the user has to make a choice according to what they learned. You could have that kind of back and forth, and do all of the training within the situation itself, after which I’d likely recommend at least a kind of group conversation then to assist digest what had been discovered and what happened so that they know how to interpret what they simply did there to the workplace, and it is kind of cemented in. It can be a supplement although rarely is it that the entire experience.
BB: It sounds like the context of the is normally at a group setting, whether state in an online scenario where everybody is at remote locations and connected, by way of instance, using Zoom, or within a classroom setting.
PB: It’s usually where there’s a cohort of people taking some kind of training. And then, when they break you present something like this to maintain them practicing, keep them thinking about that.
BB: Who answered one of my questions, which was how do you handle the opinions? But if you are in a cohort or within a group setting , then that’s cared for.
PB: I want to encourage folks to experiment with this. I have seen similar kinds of trainings outside there. I think anyone who is ready to experiment with it’ll find out a lot quickly. That’s actually my aim that is whole.
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 on a Shoestring Online Conference.
In this session, you will be shown by Paul:
How to use a complimentary, Twine , open minded interactive storytelling application
Best methods for conversation simulation design
Chatbot tools which can expand training and your conversation simulation
How training can be supported by chatbots
How to export Twine tales to HTML for Simple integration


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