Remember previous utterance - bixby

I have a capsule where the user needs to provide Bixby an account name, property, and date range, then Bixby returns the result. What if the user wanted to check a different account with the same property and date range and the user's utterance is something like "What about the foo account?" How could I get Bixby to keep the property and date range from the previous utterance, but change the account name to search for?

In the language training, you can define a continuation of the goal. That will allow you to filter on 'foo' in your action.
For example:
https://bixbydevelopers.com/dev/docs/dev-guide/developers/training.intro-training

By default, Bixby will use the conversation history to attempt to provide inputs that have not been defined by the user.
This means that, if the goal Action for your utterance "What about the foo account?" requires the property and date range inputs, Bixby will assume them from the conversation history if any exist.

Related

How to provide dynamic answer for the selected entity as parameter in dialogflow fulfillment

I have an entity (items) and its values are ('name', 'colour', 'awards')
I have three intents
Intent1 = Welcome Intent (user will get the options in the form of chips)
Intent2 = Select Option (bot will ask question to enter detail for selected option)
Intent3 = Update Option (bot will save the record and ask next option to update.)
Example -
bot: welcome! what you want to update? name, colour, awards.
user: name
bot: Enter your name.
user: John
bot: record updated, what to update next? name, colour, awards.
now the issue is awards have multiple fields to update, to update awards a user has to provide three things (award name, award date, award description)
What I want is when a user selects awards options from the chips then it should be taken to new intent where I will get all the data through slot filling.
The first thing to remember is that an Intent represents what the user has said and not what you are doing with what they have said. So it doesn't make sense to say that you are "going to an Intent".
Second, while slot filling seems like a good idea, it usually leads to further problems, since it doesn't handle conditional information well, or handle users if they skip around in what they want to update.
All of these are better solved by setting up a state machine where they are in the conversation, what information you need, and what they have provided so far. Based on these settings, you can prompt them yourself for what you expect next. (You may also find using one or several Dialogflow contexts useful for shaping how to accept results as well.)
So, for example, when the user has indicated they are updating the awards, it might work like this:
User: Awards
[Your fulfillment sets the 'awards' context with a parameter that we are prompting for the name.]
Bot: Ok, I'm going to need the award name, description, and when it was awarded. What is the name?
User: Merit
[This matches the Fallback Intent with an Input Context for 'awards', since it is free-form input. Your fulfillment stores this and sets the 'awards' context with a parameter that we are now prompting for the date.]
Bot: Got it, the award is named Merit. When was it awarded?
User: Today
[This matches an Intent with a training phrase of "<#sys.date>" and the Input Context of 'awards'. There are also training phrases for things like "It was awarded <#sys.date>" and so forth. Your fulfillment sets the date and sets the 'awards' context with a parameter that we're now prompting for description.]
Bot: Got it. Awarded on March 1st. What is the description?
User: They were awesome.
[This matches the Fallback Intent with the Input Context of 'awards' again, because it is still free-form input. Our fulfillment, however, knows that this is about the description this time, so it stores it and removes the 'awards' context since we've captured everything.]
Bot: I've recorded that as a description of "they were awesome" - sure thing. That was everything we needed for now. Do you want to update the name, colour, or awards next?
That all seems pretty straightforward. But consider if the conversation had gone this way:
User: Awards
[Your fulfillment sets the 'awards' context with a parameter that we are prompting for the name.]
Bot: Ok, I'm going to need the award name, description, and when it was awarded. What is the name?
User: [Having done this many times] They were given the award for Honor yesterday
[This might match an Intent with an Input Context of 'awards' and the training phrase of "Given the award for <#sys.any> <#sys.date>" and possibly "<#sys.date> they got an award for <#sys.any>". Your fulfillment sets the name and date from this, sees what information it still needs, and prompts with...]
Bot: Got it. Award named Honor. Awarded March 1. What is the description?
User: Actually, it is named Honorable Service
[This matches an Intent with a training phrase of "named <#sys.any>" and an Input Context for 'awards'. Your fulfillment changes the name stored, checks what we still need, and again prompts...]
Bot: Ok, I've changed the award name to Honorable Service. What is the description?
The first scenario could be handled by slot filling and simple prompting, but the second can't. Being able to handle more natural responses from people and more flexible prompting will be better for your users.

How to capture negative response from user in bixby

I am using input-view for selection and i can see none button at the bottom of the screen.I haven't included any conversation-driver yet i can see the button. How to avoid that? Event if we can not avoid it, how can i add the event-listener on this? If user click or say none, I want to give user a custom message and pass it to other intent. is it possible?
Also is it possible to give user other option if none of the utterances matched with the defined one? for example
User: what is the temperature of Oakland?
bixby: today, it is 73 F in san francisco.
User: I want to buy land on mars?
These kind of question is out of context. how to handle it?
Now in this case i want user to be prompt like "It is not possible for me to get the information, but I can tell you weather forecast of your current location. Would you like to know?" User might say yes or no. Yes would redirect it to the weather intent and no will say thank you.
A "None" conversation-driver is shown when the input-view is for a Concept that is optional (min(Optional)) for your Action. Changing it to min(Required) will remove the "None" conversation-driver.
If you want to keep the concept Optional as an input for the Action, you can add a default-init (link to relevant docs) to your Action to kick off another Action that would help the user provide you a correct input.
Bixby cannot create a path for out-of-scope utterances. The idea is that, since every user's personal Bixby will contain a number of capsules, your capsule will get called only if a user's utterance matches the types of utterances you have trained Bixby to recognize via your training file.

Google Assistant - how to re-prompt the user with #sys.any when an input is determined to be invalid

I'm trying to create a custom action through Google Assistant. I have custom user data which is defined by the user and I want the user to ask me something about this data, identifying which data they want to know about by supplying it's name.
ex:
User says "Tell me about Fred"
Assistant replies with "Fred is red"
[
{
"name":"Fred",
"info":"Fred is red"
}
]
The problem I'm having is how to add a Training phrases or re-prompting for the user to use when they supply a name which doesn't exist.
ex:
User says "Tell me about Greg"
Assistant replies with "I couldn't find 'Greg'. Who would you like to know about?"
[
{
"name":"Fred",
"info":"Fred is red"
}
]
I've tried adding a Training response which only contains the 'name' parameter, but then if the user says "Tell me about Fred", the "name" parameter is set to "Tell me about Fred" instead of just "Fred", which means it ignores other Training responses I have setup.
Anyone out there who can be my Obi-wan Kenobi?
Edit:
I've used Alexa for this same project and have sent to Alexa an elicitSlot directive. Can something similar be implemented?
There is no real equivalent to an elicitSlot directive in this case (at least not the way I usually see it used), but it does provide several tools for accomplishing what you're trying to do.
The general approach is that, when sending your reply, you also set an Output Context with the reply. You can set as parameters for the Context any information that you want to retain (what value you're prompting for and possibly other state you've already collected).
Then you can have Intents that have this context set as an Input Context. The Intent will then only be matched if the Context is active. This Intent can match #sys.any, or whatever other Entity type might be appropriate in this case.
One advantage of this approach is that it allows for users to reply more conversationally, or pivot their reply away from the prompting question you've just asked. It allows for users to answer within the Context, or through other Intents that you've already setup for other purposes.

Dialogflow required parameters

In my dialogflow chatbot i am creating i have a scenario where a user can ask what are the available vacancies you have or they can directly ask i want to join as a project manager or something. Both are in the same intent called "jobs" and the position they want is a required parameter. If user don't mention the position (eg - "what are the available vacancies you have" ) it will list all available vacancies and minimum qualifications need for that vacancy and ask user to pick one (done with slotfilling for webhook.). Now since the intent is waiting for the parameter when user enter the position they like it will provide the details regarding that position. But even when user is trying to ask for something else (trying to call to a another intent or they don't have enough qualifications for that vacancy or the needed job is not listed with the available job list) since that parameter (the Job position) is not provided it ask again and again what is the position you want.
how do i call to another intent when the chatbot is waiting for a required parameter
There is a separate intent for "The job i want is not here". If i typed the exact same one i used to train that intent then i works. but if it is slightly different then it won't work
Try this:
make your parameter as "NOT" required by unchecking the required checkbox.
keep webhook for slot filling.
in the webhook, keep a track if the parameter is provided or not.
if the intent is triggered, check programmatically for parameter and ask the user to provide it by playing with the contexts.
if the user said something else, then there will be no "required" parameter as per Dialogflow and it will not ask repeatedly to provide the parameter.
Let me know if this helped.

how can we pass the user original query across all followup intent in dialogflow

I have one intent named "search.category" which has user queries like "32gb phones" and it has a follow up intent to get_brand question like "do you have any specific brand? ".
This can have two type of answers that user can enter brand name or he can say "I don't know."
Is there any way to pass the whole user query in main intent to followup intents.
How can we pass the original user query(32gb phones) as a parameter across the intents?
In the second picture, you can see that two entities are selected, so is there any way to select the other text from user query ( I want the "show me some under 40000")
To do this, you would create a new Output Context on the first intent. Output contexts created as part of an intent contain the parameters that were set by the user when they were created and are available in subsequent intents (for as long as their lifespan is active). You can access the context's parameters either in the response or in your fulfillment webhook.
If you're trying to use values that aren't set in the parameters, then in the fulfillment of the original intent you can set any value you want as a parameter of an Output Context that you create in your webhook.

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