Conversational Machines

Conversational Machines

A conversational agent is a software that is able to answer specific or generic users requests, to interact and to help accomplish his or her goals. These goals maybe explicitly defined as in the case of an artificial intelligent agent helping users plan for a vacation trip. In other cases goals may not have been clearly defined as in a problem solving task or in a socially entertaining robot interaction.

The complexity of this system varies a lot and include the ability to process a multimodal human inputs, acoustic scene sensors and processing massive amount of data. We have been developing technology for such agents — spoken dialog systems for telephone, desktop browsers, smartphones, social bots and consumer robots  since the early nineties.

The Demos below demonstrate various agents and their components developed over the years.

Roving Mind — Amazon Alexa social bot

A group of students from Signals and Interactive Systems Lab at University of Trento ( Italy ), was chosen as one of the 12 sponsored university teams all over the world to participate to the Alexa prize, a one-year long competition sponsored by Amazon to advance conversational Artificial Intelligence. The aim of the competition is to create a social computer (“bot”) able to have coherent and engaging conversations with humans about popular topics such as politics or sport.

Further information see: https://developer.amazon.com/alexaprize

2017

 
 
 

Mobile Conversational Agents

2017

2013

2009

Dialog Management using POMDPs

Conversational agents need to make decisions through a very large set of alternatives reacting to users’ input and choose the best answer that most likely will lead to the accomplishment of a task. In this demo we show the internal belief states of such machines using so-called Partially Observable Markov Decision Processes. In this demo it’s possible to see all the intermediate steps in the decision processes associated to the voice of the user and the prompt of the system.

 2009

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