![]() | by Andy Peart on 1 year ago in Agent identity, Knowledge, Agent's Processing, Learning, Cognition, Business News |
Summary: Make human-machine conversation interesting to increase the attention span
Earlier this year Gartner predicted that by 2015 “50 percent of online customer self-service search activities will be via a virtual assistant for at least 1,500 large enterprises”. Interestingly, one of the main challenges the release cited was not a customer’s willingness to interact with an automated mechanism, but the ability for it to maintain an interesting dialogue.
Read more about: How to increase the attention span in human-machine conversations?
![]() | by Michaela Xydi on 1 year, 5 months ago in Agent identity, Knowledge, Agent's perception of humans, Text recognition, Business News |
Summary: Fred Roberts, explains how psychology in NLI is important to create a humanlike Teneo virtual assistant.
The goal of psychology is to predict and control behavior. It is the same goal we have as knowledge engineers. This may sound somewhat Orwellian, but it is not about sinister machinations. In Artificial Solutions, we want to do everything possible to help users of our Teneo virtual assistants (VAs) quickly and conveniently find the way to the information they need. Since a VA is typically designed to answer a specific set of queries, we have a clear idea of which content should be covered. For example, it’s reasonable to expect that a VA on a bank’s website will be asked questions about banking, hence it will need to be an expert on transactions such as opening accounts and transferring money, but it is not reasonable to expect it to advise you which sofa to buy with the check you write. Anna knows every item that IKEA sells, but will be puzzled if you try to borrow money from her.
![]() | by Richard Wallace on 3 years, 7 months ago in Agent identity, Personality, Life experience, Knowledge, Looks, Agent's perception of humans, Text recognition, Agent's Expression, Lexical formulation, Applications, Products, Business, Patents, Business News |
Summary: The new, patent-pending Pandorabots SpellBinderTM technology reduces chat bot creation time enormously.
Previously the construction of believable characters based on artificial intelligence required hand-crafting thousands of sentences - aimed at creating a high-quality chat bot brain. A few creative people took up the challenge and authored some of the best chat bots around today. Until now, the tedious and expensive process of developing and training a high-quality believable chat bot remained a significant hurdle to widespread chat bot adoption.
The new, patent-pending Pandorabots SpellBinderTM technology reduces chat bot creation time enormously. Pandorabots SpellBinder automatically learns from conversational transcripts. Nothing else on the market today can create high-quality and unique chat bot characters as quickly and efficiently as Pandorabots SpellBinder (Synthetic PErsonality Language Learning for Bot Intelligence from Natural Dialog Example Recordings).