Conversational AI in Social Study Surveys: A Comprehensive Review: Evaluating the efficacy, user acceptance, and potential biases of chatbot-driven surveys in social research.
Abstract
This study explores the integration of Conversational Artificial Intelligence (AI) in social study surveys, focusing on its efficacy, user acceptance, potential biases, and implications for stakeholders. Employing a systematic literature review and content analysis, we examined peer-reviewed articles, conference proceedings, and white papers from databases such as PubMed, IEEE Xplore, and Google Scholar, published from 2010 to 2024. Our methodology included defining inclusion and exclusion criteria to ensure a focused examination of the current state and future directions of Conversational AI in social research. Key findings reveal that Conversational AI enhances the efficiency and precision of data collection, offering a more engaging participant experience and the potential for deeper insights into societal trends. However, challenges such as AI-induced biases and concerns over data privacy and security necessitate careful navigation. The study underscores the importance of developing comprehensive ethical guidelines, rigorous testing to mitigate biases, and enhancing user acceptance through intuitive AI interfaces. Strategic recommendations highlight the need for interdisciplinary collaboration to address ethical and methodological challenges, ensuring that Conversational AI's integration into social research enhances rather than compromises study quality and integrity. In conclusion, while Conversational AI presents a promising avenue for revolutionizing social research, embracing these technologies requires a balanced approach that combines caution with confidence, guided by ethical principles and a commitment to addressing biases and fostering user acceptance.
Keywords
Conversational Artificial Intelligence, Social Study Surveys, AI-induced Biases Ethical Guidelines.
Citations
IRE Journals:
Adaobi Beverly Akonobi, Christiana Onyinyechi Okpokwu "Conversational AI in Social Study Surveys: A Comprehensive Review: Evaluating the efficacy, user acceptance, and potential biases of chatbot-driven surveys in social research." Iconic Research And Engineering Journals Volume 2 Issue 12 2019 Page 326-341
IEEE:
Adaobi Beverly Akonobi, Christiana Onyinyechi Okpokwu
"Conversational AI in Social Study Surveys: A Comprehensive Review: Evaluating the efficacy, user acceptance, and potential biases of chatbot-driven surveys in social research." Iconic Research And Engineering Journals, 2(12)
About IRE Journals
IRE Journals is an open access online journals established with an aim to publish high quality of research work in various diciplines. We have more than 6 years in publications. Over 2500+ papers already published.
Important Links
For Authors
Volume 8:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 7:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 6:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 5:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 4:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12Volume 3:
Issue 1, Issue 2, Issue 3, Issue 4, Issue 5, Issue 6, Issue 7, Issue 8, Issue 9, Issue 10, Issue 11, Issue 12