I want chatbot like I open the chat window it's automatically multiple questions that have come to the window.possible with Dialogflow if yes then how it's possible.
A chatbot is meant to be interactive unless user started the chat conversation, you should not do that. Better make a conversational tree and make a user start a conversation and have questions.
I see a lot of question-related to dialog flow and google assistant when are building assistant, we need to think a conversational design paradigm instead of app paradigm, that we are used for a long time.
The Assistant is meant to be conversational for a user to deliver the right experience. Due to that, you will find a lot of things we can not do with google assistant explicitly like sending a notification. This is not a conversational design pattern.
So, make your assistant more conversational. In those, you will not come an across with such Delima.
Related
I am a researcher and I do conduct research on conversational agents, chatbots, anthropomorphism and human-computer interaction.
For a series of online experiments I need to implement a functioning chat. I already conduct a few online experiments with a dummy chatbot to measure the mere presence of conversational user interfaces.
Now I am looking for a functioning chatbot so that my participants can interact with the chatbot. I was already looking into Dialogflow, BotFramework and various other services. However, I do have some requirements
The chatbot should be integrated into a website. The website already exists and is developed using plain HTML,PHP,JS.
The chatbot should be able to take data from the website (i.e. user_ID, treatment condition etc.) and should be able to adapt accordingly (language, design, features).
The website should be able to access the chatbot conversation and save it into a DB (I'm using a simple MySQL)
Any recommendations?
Currently I want to use DialogFlow and the Dialogflow Messanger, which however only has limited styling options (change of color etc.). Is there any saas for integrating the chatbot on the website?
Also keep in mind, in research, we unfortunately don't have much funding :D
Thanks
Dominik
Just going to answer my own question for now, still very much interested in your opinions.
So I have chose to use Google DialogFlow and the DialogFlow Messenger, which fulfill nearly all my requirements. Using JS on the website, I can access every interaction data (conversation) between the chatbot and the user. After collecting all data with JS i can continue with the experiment, take other data and then save everything in my MySQL database.
If you want to know more, feel free to contact me.
I am learning about DialogFlow and its integration with Google Assistant but I think it's a bit hard to develop because the users don't know all the posible topics that the chatbot can talk about. I know that this is probably a bad design from my side but I assume that there should be a "help" command to offer suggestions of the available Training phrases that a user can invoke, right?
There is no automated help command to display all of the possible actions in the Dialogflow platform. However, it can be a good idea for you to build out some sort of 'Help' or 'What can you do' intent to give the user some sort of guidance.
Additionally, you can provide them with a few use cases in the Default Welcome Intent.
"Greetings. Do you want to (do X) or (do Y)?"
Visiting our voice design guidelines can provide you with additional advice on creating a good voice experience.
This is not a build-in feature for Google Assistant (or any other integration as far as I know). Having a clear roadmap of available features/intents is often a challenge when deciding your chatbot's design. Here are some tips that might help you in this:
Build a custom help intent
With a custom help intent you would be able to assist your users in any way you see fit, you explain to them what your action is or offer them some suggestions. Since it is a custom intent you can really do whatever you want. As you asked about sending available training you could use the Dialogflow API to show them which training phrases are available in your bot to give them an example.
Use suggestion chips
This is probably the easiest option, when you user asks for help you can give them a set of standard suggestions to guide your user back on track. Your users can click on them or say what is in them to continue to a different intent. (Users that talk to your action on device without a screen can't see these, so you have to design an alternative for those devices too)
Example phrases in action overview
When publishing an action, you get the option to add some example phrases to get the user informed about what you action is designed to do. These suggestions only show up on the action overview so they don't help your users while interacting with your action, but it is still nice to add to help new users get started quickly.
I want to incorporate a few new things in an audio chatbot. Can I please check the best way to do it?
- I want to record actor's voices to replace the chatbot's default computerised voice
- I want to include sound files that play on demand (and with variety, so the file that plays depends on user choices) - is that possible and if so is there much delay before they start playing?
- I would also like to use sensor motion to start the program, so that the chatbot automatically says hello and starts a conversation when a user enters a room, rather than the user having to say 'hello google, can I talk to...blah blah' to activate the chatbot.
Thus far I've been using dialogflow to build natural language processing chatbots. Does dialogflow have the capacity to do all this, or should I use another programme linked to it as well? Or, for this sort of functionality would it be better to build a chatbot using python - and does anybody know any open source versions?
It is not possible to have the chatbot start a conversation without the user saying "Okay, Google. Talk to..". This has been done so that Google Assistant cannot be triggered without the user activating it themselves.
As for using sound files, you can record parts of your conversation and use these files in your conversation using SSML. With SSML you can edit what your assistant says using simple code. The audio tag is what you need to play sound files.
I am new to Google Assistant having one query about Google assistant with Google Home,
How to enable Google Home to be enable to speak without voice input? Is this possible to give input by any other way except voice and take output from Google Home in voice format?
This is equivalent to doing a notification or push event through the Google Home, and this is not currently available. Interactions using Google Home and the Actions on Google API require the user to initiate the conversation and the reply to go through the same channel as the input.
Unfortunately, you cannot do that yet, if you are asking for automating the triggering of actions through a rest api for example and then the google home just starts answering, there is no rest api for that but this will be the proactive assistant functionality.
In Google IO 2017, they introduced a new concept coming to the Google assistant which is proactive functionality, some calls it notifications, which is allowing the google assistant to start the conversation with the user, to give him info about the traffic for example if he has to be in a meeting in time.
but they announced neither a time frame nor any information about it.
so if this is what you are looking for, you just have to wait.
There's another answer that suggests you can programmatically synthesize speech audio and send it directly to Google Home on the user's behalf. You can use whatever input mechanism you want, as long as under the hood you produce audio that Google Home recognizes and can act on.
Can I initiate an action on Google Home from another application without a voice command?
It might seem strange to have a robot talking to a robot, but it opens up the possibility of users being able to type "commands" using natural language, then assign those commands to whatever trigger they want. Could be great for non-verbal folks or people with privacy concerns related to microphones.
[edit] I've since done more research and it looks like interfacing directly to Assistant (rather than through Google Home) does allow non-verbal integration: https://developers.google.com/assistant/sdk/
I'm building an watson conversation service and I want to know different watson Conversation and Natural Language Understanding service.
I think Watson conversation service support Natural Language Understanding, such as intent, entity but Natural Language Understanding service also provide intent and entity.
If I just use intent and entity for conversation, do I need to bind Natural Language Understanding to conversation service or not?
Thank you.
Conversation service is separate from NLU. Conversation is about building a chatbot on your own domain. The intents/entities are only what you train it on, and the dialog is a feature only available in conversation, not NLU.
NLU is a pretrained service that returns various information back about text, but does not do anything with a response, and will give you back what it has been pretrained on. Out of the box, you can't change this. You can use a product like Watson Knowledge Studio to train a custom annotator, but NLU itself knows what it knows and thats it.
There is no need to combine these, but it is possible. Depending what problem youre trying to solve will help guide you in which you want to use. If you want to understand data about unstructured text, with no real training time required, NLU is right for you. If you want to develop a chatbot to help your users with some problem, Conversation is right for you.
If you want to build a chatbot about generic things, or if you require things like people's name, extracting locations around the world, etc, and respond accordingly, you could use NLU to extract the metadata, and then pass that to Conversation and in conjunction with your custom intents/entities/dialog have a more powerful conversation.
From the way I'm understanding the question, I pre-assume that you know that Watson conversation and Natural Language classifiers (NLC) are two different services provided by IBM Watson.
Watson conversation will basically help you build a chatbot or a bot (which has speech to text or vice-versa). This chatbot helps users in different ways. Let's say if a user asks a question to the chatbot, chatbot will answer accordingly (It depends on how you designed the dialogs/ or the responses) to the question asked.
Question 1: What's your name?
Answer 1: I'm Watson.
Instead, if the question was asked incorrectly.
Incorrect question : Wat is ur name?
Answer would still be: I'm Watson.
In order to build a chatbot using Watson conversation, you need to make sure that you have proper understanding of Intents, Entities, and most importantly Dialogs (Dialogs help you design the flow of the conversation). If you know these 3 parts then you are good to go with Watson conversation. There's no link between NLC and Watson conversation if you keep them isolated. *That being said, Watson conversation itself has an Natural language understanding where it could figure out User questions even if the questions are **incomplete, grammatically incorrect, mis-spelled words etc.*
In short, you need not bind anything (Natural language) to make the conversation start working. Just focus on those 3 (Intent, entities, & dialog) portions provided and you are good to go.