Prototype for Crowd-based Co-creation of Artificial Intelligence Natural Language Conversational Agents

There is growing need for intelligent digital support in healthcare, business, industry, indeed all domains. Learners in any domain need educators/experts to provide knowledge and guidance by relaying relevant and timely information. Artificial Intelligence (AI) systems such as chatbots or conversat...

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Bibliographic Details
Main Authors: Pears, Matthew, Henderson, James, Tsoupouroglou, Iraklis, Bamidis, Panagiotis D., Schiza, Eirini, Pattichis, Constantinos S., Stathakarou, Natalia, Karlgren, Klas, Konstantinidis, Stathis Th
Format: Conference Proceeding
Language:English
Subjects:
ASPIRE
Chatbot
Chatbots
Co-creation
Conferences
Conversational Agent
Crowdsourcing
Data collection
Healthcare
Industries
Medical services
Natural Language Programming
Natural languages
Prototypes
Online Access:Request full text
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Summary:There is growing need for intelligent digital support in healthcare, business, industry, indeed all domains. Learners in any domain need educators/experts to provide knowledge and guidance by relaying relevant and timely information. Artificial Intelligence (AI) systems such as chatbots or conversational agents, can support information delivery. However, user-centric frameworks for designing chatbot learning applications and collaborative user-centric design methodologies are lacking. This paper describes a chatbot design tool to promote co-creation through crowd-based data collection and design. This prototype has the capacity to be used as a structured method of design and data collection through cocreation for healthcare, education, and beyond.
ISSN:2165-9567
DOI:10.1109/EDUCON52537.2022.9766698