Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction

Sourav Banerjee; Ayushi Agarwal; Promila Ghosh; Ayush Kumar Bar

doi:doi:10.11648/j.ajai.20240801.12

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Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction

Sourav Banerjee^*, Ayushi Agarwal, Promila Ghosh, Ayush Kumar Bar

Published in American Journal of Artificial Intelligence (Volume 8, Issue 1)

Received: 18 December 2023 Accepted: 29 December 2023 Published: 11 January 2024

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Abstract

Digital interventions for health, like chatbots, are being recognised as tools for addressing the growing mental health crisis. This study investigates the efficacy of AI-driven mental health interventions in the workplace, focusing on a chatbot designed to promote employee well-being. With an urgent need to address the rising mental health issues in corporate settings, the research delves into the current landscape of mental health support and evaluates the potential of technology-based solutions. A survey involving 25 HR professionals and Chief Human Resources Officers (CHROs) from various industries across the United States formed the backbone of the study. These participants, representing a significant portion of the corporate workforce, provided insights into the effectiveness, accessibility, and perceptions of mental health strategies in their organisations. Utilising a quantitative analysis method, specifically T-test hypothesis testing, the study aimed to understand attitudes towards AI-based mental health solutions and their actual implementation within organisations. It was found that while awareness of virtual AI coaches and therapists is relatively high, around 72%, only about 7% of respondents could accurately identify specific AI-driven mental health tools. Over 60% of participants preferred anonymity when discussing mental health issues, underscoring the sensitive nature of the topic. Despite around 84% indicating the presence of mental health support in organisations, at least 68% questioned its accessibility and comprehensiveness. The majority, about 83%, believed that AI-driven apps positively impact employee productivity, with at least 77% suggesting they could reduce attrition rates. However, concerns about data privacy and cultural acceptance within organisations were evident, with 52-64% of executives expressing reservations, respectively. The study illuminates a path forward, suggesting a nuanced understanding and strategic implementation of AI mental health solutions in the workplace. It underscores the need for comprehensive awareness programs, enhanced accessibility, and addressing privacy and cultural concerns, thereby paving the way for a more empathetic, efficient, and technology-integrated approach to employee mental health.

Published in	American Journal of Artificial Intelligence (Volume 8, Issue 1)
DOI	10.11648/j.ajai.20240801.12
Page(s)	5-12
Creative Commons	This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.
Copyright	Copyright © The Author(s), 2024. Published by Science Publishing Group

Keywords

AI Chatbots, NLP, Mental Health Interventions, AI-Driven Chatbots, Workplace Well-Being, Corporate Mental Health Support, Employee Wellbeing

References

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[8]	Goh, J., Pfeffer, J., & Zenios, S. A. (2016, February). The Relationship Between Workplace Stressors and Mortality and Health Costs in the United States. Management Science, 62(2), 608–628. https://doi.org/10.1287/mnsc.2014.2115
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APA Style

Banerjee, S., Agarwal, A., Ghosh, P., Bar, A. K. (2024). Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction. American Journal of Artificial Intelligence, 8(1), 5-12. https://doi.org/10.11648/j.ajai.20240801.12

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ACS Style

Banerjee, S.; Agarwal, A.; Ghosh, P.; Bar, A. K. Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction. Am. J. Artif. Intell. 2024, 8(1), 5-12. doi: 10.11648/j.ajai.20240801.12

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AMA Style

Banerjee S, Agarwal A, Ghosh P, Bar AK. Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction. Am J Artif Intell. 2024;8(1):5-12. doi: 10.11648/j.ajai.20240801.12

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@article{10.11648/j.ajai.20240801.12,
  author = {Sourav Banerjee and Ayushi Agarwal and Promila Ghosh and Ayush Kumar Bar},
  title = {Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction},
  journal = {American Journal of Artificial Intelligence},
  volume = {8},
  number = {1},
  pages = {5-12},
  doi = {10.11648/j.ajai.20240801.12},
  url = {https://doi.org/10.11648/j.ajai.20240801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20240801.12},
  abstract = {Digital interventions for health, like chatbots, are being recognised as tools for addressing the growing mental health crisis. This study investigates the efficacy of AI-driven mental health interventions in the workplace, focusing on a chatbot designed to promote employee well-being. With an urgent need to address the rising mental health issues in corporate settings, the research delves into the current landscape of mental health support and evaluates the potential of technology-based solutions. A survey involving 25 HR professionals and Chief Human Resources Officers (CHROs) from various industries across the United States formed the backbone of the study. These participants, representing a significant portion of the corporate workforce, provided insights into the effectiveness, accessibility, and perceptions of mental health strategies in their organisations. Utilising a quantitative analysis method, specifically T-test hypothesis testing, the study aimed to understand attitudes towards AI-based mental health solutions and their actual implementation within organisations. It was found that while awareness of virtual AI coaches and therapists is relatively high, around 72%, only about 7% of respondents could accurately identify specific AI-driven mental health tools. Over 60% of participants preferred anonymity when discussing mental health issues, underscoring the sensitive nature of the topic. Despite around 84% indicating the presence of mental health support in organisations, at least 68% questioned its accessibility and comprehensiveness. The majority, about 83%, believed that AI-driven apps positively impact employee productivity, with at least 77% suggesting they could reduce attrition rates. However, concerns about data privacy and cultural acceptance within organisations were evident, with 52-64% of executives expressing reservations, respectively. The study illuminates a path forward, suggesting a nuanced understanding and strategic implementation of AI mental health solutions in the workplace. It underscores the need for comprehensive awareness programs, enhanced accessibility, and addressing privacy and cultural concerns, thereby paving the way for a more empathetic, efficient, and technology-integrated approach to employee mental health.
},
 year = {2024}
}

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TY  - JOUR
T1  - Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction
AU  - Sourav Banerjee
AU  - Ayushi Agarwal
AU  - Promila Ghosh
AU  - Ayush Kumar Bar
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PY  - 2024
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DO  - 10.11648/j.ajai.20240801.12
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
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AB  - Digital interventions for health, like chatbots, are being recognised as tools for addressing the growing mental health crisis. This study investigates the efficacy of AI-driven mental health interventions in the workplace, focusing on a chatbot designed to promote employee well-being. With an urgent need to address the rising mental health issues in corporate settings, the research delves into the current landscape of mental health support and evaluates the potential of technology-based solutions. A survey involving 25 HR professionals and Chief Human Resources Officers (CHROs) from various industries across the United States formed the backbone of the study. These participants, representing a significant portion of the corporate workforce, provided insights into the effectiveness, accessibility, and perceptions of mental health strategies in their organisations. Utilising a quantitative analysis method, specifically T-test hypothesis testing, the study aimed to understand attitudes towards AI-based mental health solutions and their actual implementation within organisations. It was found that while awareness of virtual AI coaches and therapists is relatively high, around 72%, only about 7% of respondents could accurately identify specific AI-driven mental health tools. Over 60% of participants preferred anonymity when discussing mental health issues, underscoring the sensitive nature of the topic. Despite around 84% indicating the presence of mental health support in organisations, at least 68% questioned its accessibility and comprehensiveness. The majority, about 83%, believed that AI-driven apps positively impact employee productivity, with at least 77% suggesting they could reduce attrition rates. However, concerns about data privacy and cultural acceptance within organisations were evident, with 52-64% of executives expressing reservations, respectively. The study illuminates a path forward, suggesting a nuanced understanding and strategic implementation of AI mental health solutions in the workplace. It underscores the need for comprehensive awareness programs, enhanced accessibility, and addressing privacy and cultural concerns, thereby paving the way for a more empathetic, efficient, and technology-integrated approach to employee mental health.

VL  - 8
IS  - 1
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Author Information

Sourav Banerjee

Datalabs, United We Care, Gurgaon, India

Contact Email
Ayushi Agarwal

Datalabs, United We Care, Gurgaon, India

Contact Email
Promila Ghosh

Datalabs, United We Care, Gurgaon, India

Contact Email
Ayush Kumar Bar

Datalabs, United We Care, Gurgaon, India

Contact Email

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Plain Text BibTeX RIS

APA Style

Banerjee, S., Agarwal, A., Ghosh, P., Bar, A. K. (2024). Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction. American Journal of Artificial Intelligence, 8(1), 5-12. https://doi.org/10.11648/j.ajai.20240801.12

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ACS Style

Banerjee, S.; Agarwal, A.; Ghosh, P.; Bar, A. K. Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction. Am. J. Artif. Intell. 2024, 8(1), 5-12. doi: 10.11648/j.ajai.20240801.12

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AMA Style

Banerjee S, Agarwal A, Ghosh P, Bar AK. Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction. Am J Artif Intell. 2024;8(1):5-12. doi: 10.11648/j.ajai.20240801.12

Copy | Download

@article{10.11648/j.ajai.20240801.12,
  author = {Sourav Banerjee and Ayushi Agarwal and Promila Ghosh and Ayush Kumar Bar},
  title = {Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction},
  journal = {American Journal of Artificial Intelligence},
  volume = {8},
  number = {1},
  pages = {5-12},
  doi = {10.11648/j.ajai.20240801.12},
  url = {https://doi.org/10.11648/j.ajai.20240801.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajai.20240801.12},
  abstract = {Digital interventions for health, like chatbots, are being recognised as tools for addressing the growing mental health crisis. This study investigates the efficacy of AI-driven mental health interventions in the workplace, focusing on a chatbot designed to promote employee well-being. With an urgent need to address the rising mental health issues in corporate settings, the research delves into the current landscape of mental health support and evaluates the potential of technology-based solutions. A survey involving 25 HR professionals and Chief Human Resources Officers (CHROs) from various industries across the United States formed the backbone of the study. These participants, representing a significant portion of the corporate workforce, provided insights into the effectiveness, accessibility, and perceptions of mental health strategies in their organisations. Utilising a quantitative analysis method, specifically T-test hypothesis testing, the study aimed to understand attitudes towards AI-based mental health solutions and their actual implementation within organisations. It was found that while awareness of virtual AI coaches and therapists is relatively high, around 72%, only about 7% of respondents could accurately identify specific AI-driven mental health tools. Over 60% of participants preferred anonymity when discussing mental health issues, underscoring the sensitive nature of the topic. Despite around 84% indicating the presence of mental health support in organisations, at least 68% questioned its accessibility and comprehensiveness. The majority, about 83%, believed that AI-driven apps positively impact employee productivity, with at least 77% suggesting they could reduce attrition rates. However, concerns about data privacy and cultural acceptance within organisations were evident, with 52-64% of executives expressing reservations, respectively. The study illuminates a path forward, suggesting a nuanced understanding and strategic implementation of AI mental health solutions in the workplace. It underscores the need for comprehensive awareness programs, enhanced accessibility, and addressing privacy and cultural concerns, thereby paving the way for a more empathetic, efficient, and technology-integrated approach to employee mental health.
},
 year = {2024}
}

Copy | Download

TY  - JOUR
T1  - Boosting Workplace Well-Being: A Novel Approach with a Mental Health Chatbot for Employee Engagement and Satisfaction
AU  - Sourav Banerjee
AU  - Ayushi Agarwal
AU  - Promila Ghosh
AU  - Ayush Kumar Bar
Y1  - 2024/01/11
PY  - 2024
N1  - https://doi.org/10.11648/j.ajai.20240801.12
DO  - 10.11648/j.ajai.20240801.12
T2  - American Journal of Artificial Intelligence
JF  - American Journal of Artificial Intelligence
JO  - American Journal of Artificial Intelligence
SP  - 5
EP  - 12
PB  - Science Publishing Group
SN  - 2639-9733
UR  - https://doi.org/10.11648/j.ajai.20240801.12
AB  - Digital interventions for health, like chatbots, are being recognised as tools for addressing the growing mental health crisis. This study investigates the efficacy of AI-driven mental health interventions in the workplace, focusing on a chatbot designed to promote employee well-being. With an urgent need to address the rising mental health issues in corporate settings, the research delves into the current landscape of mental health support and evaluates the potential of technology-based solutions. A survey involving 25 HR professionals and Chief Human Resources Officers (CHROs) from various industries across the United States formed the backbone of the study. These participants, representing a significant portion of the corporate workforce, provided insights into the effectiveness, accessibility, and perceptions of mental health strategies in their organisations. Utilising a quantitative analysis method, specifically T-test hypothesis testing, the study aimed to understand attitudes towards AI-based mental health solutions and their actual implementation within organisations. It was found that while awareness of virtual AI coaches and therapists is relatively high, around 72%, only about 7% of respondents could accurately identify specific AI-driven mental health tools. Over 60% of participants preferred anonymity when discussing mental health issues, underscoring the sensitive nature of the topic. Despite around 84% indicating the presence of mental health support in organisations, at least 68% questioned its accessibility and comprehensiveness. The majority, about 83%, believed that AI-driven apps positively impact employee productivity, with at least 77% suggesting they could reduce attrition rates. However, concerns about data privacy and cultural acceptance within organisations were evident, with 52-64% of executives expressing reservations, respectively. The study illuminates a path forward, suggesting a nuanced understanding and strategic implementation of AI mental health solutions in the workplace. It underscores the need for comprehensive awareness programs, enhanced accessibility, and addressing privacy and cultural concerns, thereby paving the way for a more empathetic, efficient, and technology-integrated approach to employee mental health.

VL  - 8
IS  - 1
ER  -

Copy | Download