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Submission Number: 199
Submission ID: 308
Submission UUID: 5fea9def-71ce-490f-b7df-97d5c27b3cca
Submission URI: /2023/abstracts

Created: Thu, 07/27/2023 - 20:09
Completed: Thu, 07/27/2023 - 20:20
Changed: Mon, 08/14/2023 - 10:36

Remote IP address: 2c0f:f4c0:118e:cb9c:e4ca:1b4c:9dcf:918
Submitted by: Anonymous
Language: English

Is draft: No
Current page: Complete
Webform: Abstract
Presenters
Mr.
Kanes
Ivan
0714200520
NWU Potchesftroom
Ivan Kanes is an employee assistance practitioner with diverse experience in military and private sectors. Currently pursuing a Ph.D. at NWU Potchefstroom, he focuses on using technology to revolutionise social work. Driven by a vision of integrating modern tools, Ivan aims to enhance the efficiency and impact of social services, making support accessible to all. With a compassionate and innovative approach, he inspires positive change and empowers lives through his dedication to creating a more inclusive society.
Yes
Prof.
Roestenburg
Wim
0182852270
NWU Potchefstroom
*
Yes
Dr
Malan
Hanelie
0838220887
NWU Potchefstroom
*
Abstract
Developing an intelligent online counselling framework for an employee health and wellness programme
THEME 4: Quality management and enhancement of social services
SUB 4.5 Transforming social and healthcare services through capacity building and adoption of information technology
Oral Presentation
The Fourth Industrial Revolution, described as the rapid and exponential development of internet technology resulting in concepts such as the internet of things and artificial intelligence being introduced in daily life, dramatically reshaping society. This presentation explores the possibility of supplementing counselling services by Artificial intelligent chatbots within the context of employee health and wellness programs, investigating whether the necessary social work relevant vocabulary can be developed for powering the intelligence of such conversational agents. Chatbots and conversational user interfaces have gained recognition as valuable tools to humans since 2016. While AI therapy agents have been developed in psychology, their application in social work remains limited. The research underpinning these efforts consists of the development of a conceptual AI generative chatbot counselling framework through a mixed-methods design, combining literature review, qualitative analysis of live chat transcripts and quantitative frequency analysis to converge in framework design using the Multinomial Naive Bayes theorem and Systems Development Life Cycle, and refinement through a Delphi study. The paper explains some of these methodologies in simplified terms, answering whether intelligent responding chatbots can be developed within social work.

Keywords: Artificial Intelligence, Chatbot, Health Information Technology, Mental Health, Social Work
Reviewer ONE Feedback
Prof
Thulane
Gxubane
Somewhat
Practice
Accepted
Reviewer TWO Feedback
Dr
Corlie
Giliomee
Yes
Empirical Research
Accepted
x

2023 Conference

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