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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
Title Mr.
Lastname Kanes
Firstname Ivan
eMail [email protected]
Mobile 0714200520
Institution NWU Potchesftroom
Biosketch 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.
Is there a Second Presenter? Yes
Title Prof.
Lastname Roestenburg
Firstname Wim
eMail [email protected]
Mobile 0182852270
Institution NWU Potchefstroom
Biosketch *
Is there a Third Presenter? Yes
Title Dr
Lastname Malan
Firstname Hanelie
eMail [email protected]
Mobile 0838220887
Institution NWU Potchefstroom
Biosketch *
Title of Presentatation Developing an intelligent online counselling framework for an employee health and wellness programme
Theme Selection THEME 4: Quality management and enhancement of social services
Subtheme FOUR Selection SUB 4.5 Transforming social and healthcare services through capacity building and adoption of information technology
Select your Presentation Type Oral Presentation
Abstract 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
Title Prof
Firstname Thulane
Lastname Gxubane
Does the Abstract fit the selected Theme? Somewhat
What Area does this Abstract Focus on? Practice
Status Accepted
Title Dr
Firstname Corlie
Lastname Giliomee
Does the Abstract fit the selected Theme? Yes
What Area does this Abstract Focus on? Empirical Research
Status Accepted
x

2023 Conference

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