▼ Scroll to Site ▼

The Three Types of Intelligent Agents (Video)

Learn more about customer self-service at the next SpeechTEK conference.

Read the complete transcript of this clip:

Michael McTear: Let’s look at the different types of conversational interface. A broad distinction is that you can have a more conversational type that doesn't really do anything specific like accomplish a task, but engages in chat with you. The old chatbots going back to ELIZA were like that.

We still have lots of examples of those in the regular Loebner competitions, which are a sort of Turing test for computers, trying to find out which is the most human-like computer, the most human-like chatbot. Those, of course, do have applications. The picture indicates that perhaps people who are lonely and need companionship might actually benefit from having a conversational system that can interact with them; and not only that, can monitor various things in-house.

The second one is personal assistants, and that's where you're automating all the different tasks that you might do, scheduling meetings. In some cases, you have a separate one for each different application, but the movement in the future would be towards a more integrated type, such as they have already in China with WeChat, where you can accomplish everything within the one application.

Then there are enterprise agents, which is the interest of many of the people here, where they will either replace or augment customer service, particularly for those sorts of repetitive tasks like frequently asked questions and routine sorts of things that can be handled easily by a conversational system.

SpeechTek Covers
Free
for qualified subscribers
Subscribe Now Current Issue Past Issues
Related Articles

The Downside of Directed Dialogue NLU (Video)

Omilia's Quinn Agen discusses the value of context and memory in delivering human-like interactions in self-service contact centers in this clip from SpeechTEK 2018.

Best Practices for Active Listening in ASR (Video)

SpeakEasy AI CEO Frank Schneider offers essential tips on using AI and active listening to enhance automatic speech recognition in this clip from SpeechTEK 2018.

How Intelligent Agents Leverage NLU, Intents, and Entities (Video)

Ulster University Professor Michael McTear discusses how contemporary natural language-based intelligent agents use intents and entities rather than traditional parse trees in this clip from SpeechTEK 2018.

Top 5 Tips for Designing Chatbots

The following five tips should help you avoid most common pitfalls while designing your chatbot or digital assistant and create a satisfying user experience.

Guidelines for Designing Chatbots (Video)

Ulster University Professor Michael McTear identifies key resources for chatbot design best practices as well as tools and frameworks for building voice-user interfaces in this clip from SpeechTEK 2018.

How Users Interact with Different Types of Intelligent Agents (Video)

Ulster University Professor Michael McTear discusses how interactions differ with different intelligent agents, from one-shot dialogue to system-directed dialogue and mixed-initiative in this clip from his presentation at SpeechTech 2018.

How Conversational Self-Service Improves the Contact Center Experience (Video)

Omilia's Quinn Agen discusses the way an an end-to-end conversational approach in machine-to-human interaction helps deliver satisfying contact center experiences in this clip from SpeechTEK 2018.

Why Customers Prefer Conversational Self-Service (Video)

Omilia's Quinn Agen discusses the advantages of taking a conversational approach in automated contact center customer care in this clip from SpeechTEK 2018.

Video: Rules-Based Chatbot Design, Part 2: Visual Representation and Support

Aspect's Andreas Volmer discusses the value of visually representing conversational flow logic in chatbot design, and explores the advantages of a language-based approach over a statistically based approach in this clip from SpeechTEK 2018.

Video: Rules-Based Chatbot Design, Part 1: Syntactical and Semantical Analysis

Aspect's Andreas Volmer discusses key components of a rules-based approach to chatbot design based on a robust language model in Part 1 of this two-part series from SpeechTEK 2018.