English (United Kingdom)

https://curated-unify.zendy.io/wp-json/zendy-region/v1/featured_content/oa?rat=en

https://curated-unify.zendy.io/wp-json/zendy-region/v1/highlighted_journal/

Global: Zendy Plus annual

Presents the access of premium content as premium feature

Premium Content

Presents the keyphrase highlighting as premium feature

Keyphrase Highlighting

Presents the summarisation as premium feature

Summarisation

Insights

Presents the pdf analysis as premium feature

PDF Analysis

Presents the zaia usage as premium feature

ZAIA

Global: Zendy Plus monthly

Global: Zendy Tools annual

Global: Zendy Tools monthly

Global: Zendy Free Plan

The article proposes a system for knowledge-based conversation designed forSocial Robots and other conversational agents. The proposed system relies on anOntology for the description of all concepts that may be relevant conversationtopics, as well as their mutual relationships. The article focuses on thealgorithm for Dialogue Management that selects the most appropriateconversation topic depending on the user's input. Moreover, it discussesstrategies to ensure a conversation flow that captures, as more coherently aspossible, the user's intention to drive the conversation in specific directionswhile avoiding purely reactive responses to what the user says. To measure thequality of the conversation, the article reports the tests performed with 100recruited participants, comparing five conversational agents: (i) an agentaddressing dialogue flow management based only on the detection of keywords inthe speech, (ii) an agent based both on the detection of keywords and theContent Classification feature of Google Cloud Natural Language, (iii) an agentthat picks conversation topics randomly, (iv) a human pretending to be achatbot, and (v) one of the most famous chatbots worldwide: Replika. Thesubjective perception of the participants is measured both with the SASSI(Subjective Assessment of Speech System Interfaces) tool, as well as with acustom survey for measuring the subjective perception of coherence.

Knowledge-Grounded Dialogue Flow Management for Social Robots and Conversational Agents