Relevant bibliographies by topics / Chatbot interventions

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Academic literature on the topic 'Chatbot interventions'

Author: Grafiati
Published: 5 June 2025
Last updated: 2 August 2025

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Journal articles on the topic "Chatbot interventions"

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Manole, Alexia, Răzvan Cârciumaru, Rodica Brînzaș, and Felicia Manole. "Harnessing AI in Anxiety Management: A Chatbot-Based Intervention for Personalized Mental Health Support." Information 15, no. 12 (2024): 768. https://doi.org/10.3390/info15120768.

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Anxiety disorders represent one of the most widespread mental health challenges globally, yet access to traditional therapeutic interventions remains constrained, particularly in resource-limited settings. This study evaluated the effectiveness of an AI-powered chatbot, developed using ChatGPT, in managing anxiety symptoms through evidence-based cognitive-behavioral therapy (CBT) techniques. Fifty participants with mild to moderate anxiety symptoms engaged with the chatbot over two observational phases, each lasting seven days. The chatbot delivered personalized interventions, including mindfu
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Mustafa, Sara Hassan, Elsir Abdelmutaal Mohammed, Ahmed Mustafa Salih, et al. "A Qualitative Exploration of Acceptance of a Conversational Chatbot as a Tool for Mental Health Support among University Students in Sudan." International Journal of Medical Sciences and Nursing Research 4, no. 1 (2024): 16–23. http://dx.doi.org/10.55349/ijmsnr.2024411623.

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Background: Sudan’s political and economic challenges have increased mental health issues among university students, but access to mental healthcare is limited. Digital health interventions, such as chatbots, could provide a potential solution to inadequate care. This study aimed to evaluate the level of acceptance of a mental health chatbot prototype among university students in Khartoum, Sudan. Materials and Methods: This qualitative study investigated the perspectives of university students regarding a mental health chatbot prototype designed specifically for this research and deployed on T
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Song, Tianqi, Jack Jamieson, Tianwen Zhu, Naomi Yamashita, and Yi-Chieh Lee. "From Interaction to Attitude: Exploring the Impact of Human-AI Cooperation on Mental Illness Stigma." Proceedings of the ACM on Human-Computer Interaction 9, no. 2 (2025): 1–31. https://doi.org/10.1145/3710987.

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AI conversational agents have demonstrated efficacy in social contact interventions for stigma reduction at a low cost. However, the underlying mechanisms of how interaction designs contribute to these effects remain unclear. This study investigates how participating in three human-chatbot interactions affects attitudes toward mental illness. We developed three chatbots capable of engaging in either one-way information dissemination from chatbot to a human or two-way cooperation where the chatbot and a human exchange thoughts and work together on a cooperation task. We then conducted a two-wee
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Chen, Jing, Run-Ze Hu, Yu-Xuan Zhuang, et al. "Natural Language Processing Chatbot–Based Interventions for Improvement of Diet, Physical Activity, and Tobacco Smoking Behaviors: Systematic Review." JMIR mHealth and uHealth 13 (June 11, 2025): e66403-e66403. https://doi.org/10.2196/66403.

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Abstract Background The rapid development of artificial intelligence technology has enabled chatbots to increasingly promote health-related behaviors, addressing the high demand for human resources in traditional interventions. Several systematic reviews have been conducted in this area. However, the existing reviews have not focused on the rigorously designed randomized trials of the state-of-the-art chatbots (interacting with users through unconstrained natural language), thus calling for an updated review. Objective We aimed to explore the effects of natural language processing (NLP) chatbo
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Kim, Hyun-Kyoung. "The Effects of Artificial Intelligence Chatbots on Women’s Health: A Systematic Review and Meta-Analysis." Healthcare 12, no. 5 (2024): 534. http://dx.doi.org/10.3390/healthcare12050534.

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Purpose: This systematic review and meta-analysis aimed to investigate the effects of artificial intelligence chatbot interventions on health outcomes in women. Methods: Ten relevant studies published between 2019 and 2023 were extracted from the PubMed, Cochrane Library, EMBASE, CINAHL, and RISS databases in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. This review focused on experimental studies concerning chatbot interventions in women’s health. The literature was assessed using the ROB 2 quality appraisal checklist, and the results were
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Zhang, Jingwen, Yoo Jung Oh, Patrick Lange, Zhou Yu, and Yoshimi Fukuoka. "Artificial Intelligence Chatbot Behavior Change Model for Designing Artificial Intelligence Chatbots to Promote Physical Activity and a Healthy Diet: Viewpoint." Journal of Medical Internet Research 22, no. 9 (2020): e22845. http://dx.doi.org/10.2196/22845.

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Background Chatbots empowered by artificial intelligence (AI) can increasingly engage in natural conversations and build relationships with users. Applying AI chatbots to lifestyle modification programs is one of the promising areas to develop cost-effective and feasible behavior interventions to promote physical activity and a healthy diet. Objective The purposes of this perspective paper are to present a brief literature review of chatbot use in promoting physical activity and a healthy diet, describe the AI chatbot behavior change model our research team developed based on extensive interdi
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Nieminen, H., L. Kuosmanen, R. Bond, et al. "Coproducing multilingual conversational scripts for a mental wellbeing chatbot - where healthcare domain experts become chatbot designers." European Psychiatry 65, S1 (2022): S293. http://dx.doi.org/10.1192/j.eurpsy.2022.748.

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Introduction Digital mental health interventions, such as chatbots that promote mental health and wellbeing are a promising way to deliver low-threshold support 24/7 for those in need. According to current knowledge about the topic, health care professionals should participate in the design and development processes for digital interventions. Objectives The aim of this presentation is to describe the interdisciplinary content development process of the ChatPal chatbot. Methods The content development process started in co-operation with mental health professionals and potential users to identi
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Purkar, Ayesha Shehbaz. "MENTAL HEALTH AI CARE CHATBOT." INTERANTIONAL JOURNAL OF SCIENTIFIC RESEARCH IN ENGINEERING AND MANAGEMENT 09, no. 01 (2025): 1–9. https://doi.org/10.55041/ijsrem40887.

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Always Mental disability and Mental health care have been overlooked. This is puzzling considering that 8% of the world's population suffers from mental impairments, which are widespread. A scalable option that offers an interactive way to engage consumers in behavioral health interventions powered by artificial intelligence is a chatbots. Anxiety, stress, etc. provides a critical first step in enhancing chatbot design and revealing the advantages and disadvantages of the chatbots. In this report, a customized chatbot framework is proposed with a blended neural network design. The recommended
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Sadasivan, Chikku, Christofer Cruz, Naomi Dolgoy, et al. "Examining Patient Engagement in Chatbot Development Approaches for Healthy Lifestyle and Mental Wellness Interventions: Scoping Review." Journal of Participatory Medicine 15 (May 22, 2023): e45772. http://dx.doi.org/10.2196/45772.

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Background Chatbots are growing in popularity as they offer a range of potential benefits to end users and service providers. Objective Our scoping review aimed to explore studies that used 2-way chatbots to support healthy eating, physical activity, and mental wellness interventions. Our objectives were to report the nontechnical (eg, unrelated to software development) approaches for chatbot development and to examine the level of patient engagement in these reported approaches. Methods Our team conducted a scoping review following the framework proposed by Arksey and O’Malley. Nine electroni
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Larbi, Dillys, Kerstin Denecke, and Elia Gabarron. "Usability Testing of a Social Media Chatbot for Increasing Physical Activity Behavior." Journal of Personalized Medicine 12, no. 5 (2022): 828. http://dx.doi.org/10.3390/jpm12050828.

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Digital interventions for increasing physical activity behavior have shown great potential, especially those with social media. Chatbots, also known as conversational agents, have emerged in healthcare in relation to digital interventions and have proven effective in promoting physical activity among adults. The study’s objective is to explore users’ experiences with a social media chatbot. The concept and the prototype development of the social media chatbot MYA were realized in three steps: requirement analysis, concept development, and implementation. MYA’s design includes behavior change t
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Book chapters on the topic "Chatbot interventions"

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Sajadieh, Sahar, and Hannen Wolfe. "Designing Interrogative Robot Theater: A Robot Who Won’t Take No for an Answer." In Creating Digitally. Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-31360-8_7.

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Abstract“You are the hottest thing in the room! I couldn’t help but come over to introduce myself.” That’s how the conversation began between the human-sized female robot and an audience member in a corner of the room during Come Hither to Me! In this robot theater the robotic agent charms the audience with her seductive humor and subtly enters them into a provocative dialogue that surfaces their stereotypical biases in gendered social interactions. Come Hither to Me! exemplifies “Interrogative Robot Theater,” our performative and critical method for social robotics research with an objective
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Anitha, K., and V. Shanthi. "A Study on Intervention of Chatbots in Recruitment." In Innovations in Information and Communication Technologies (IICT-2020). Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-66218-9_8.

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Lian, Andrew T., Alfredo Costilla Reyes, and Xia Hu. "CAPTAIN: An AI-Based Chatbot for Cyberbullying Prevention and Intervention." In Artificial Intelligence in HCI. Springer Nature Switzerland, 2023. http://dx.doi.org/10.1007/978-3-031-35894-4_7.

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Lee, Minha, and Jessica Contreras. "Flourishing with Moral Emotions Through Conversational Agents." In Human Flourishing. Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-09786-7_11.

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AbstractThis chapter concerns how artificial agents can be used to bolster moral emotions like compassion that are linked to well-being. While technology-based interventions for well-being are plentiful, e.g., wellness apps, two critical components for flourishing in the twenty-first century are currently overlooked: (1) promoting moral emotions, e.g., gratitude, that relies on complex emotional experiences rather than simple negative or positive affect, and (2) using conversational agents, e.g., chatbots, rather than other technological interventions, e.g., mobile apps, which reframes well-be
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Xu, Shuo, and Tiancong Ma. "How Social Cues in Depression Intervention AI Chatbots Affect Human-Computer Trust." In Lecture Notes in Computer Science. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-93502-2_7.

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Huamán, Baldwin, Dante Gómez, Danny Lévano, Miguel Valles-Coral, Jorge Raul Navarro-Cabrera, and Lloy Pinedo. "Classification Model Based on Chatbot and Unsupervised Algorithms to Determine Psychological Intervention Programs in Peruvian University Students." In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Springer Nature Switzerland, 2022. http://dx.doi.org/10.1007/978-3-031-22324-2_15.

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Lim, Mei Shyan, Sin-Ban Ho, and Ian Chai. "Design and Functionality of a University Academic Advisor Chatbot as an Early Intervention to Improve Students’ Academic Performance." In Lecture Notes in Electrical Engineering. Springer Singapore, 2021. http://dx.doi.org/10.1007/978-981-33-4069-5_15.

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Arias-Durán, Saúl, Jorge Sanisaca-Muñoz, Sofía Bravo-Buri, and Vladimir Robles-Bykbaev. "Intervention Platform for Children with Intellectual Disability: Chatbots and IBM Watson Services in the Ecuadorian Context." In Lecture Notes in Networks and Systems. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-80091-8_57.

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Lim, Gionnieve, and Simon T. Perrault. "Fact Checking Chatbot: A Misinformation Intervention for Instant Messaging Apps and an Analysis of Trust in the Fact Checkers." In Mobile Communication in Asia: Local Insights, Global Implications. Springer Netherlands, 2023. http://dx.doi.org/10.1007/978-94-024-2225-2_11.

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Schulz, Armin W. "Artifacts: A Presentist Social Functionalist Account (Co-written with Clint Hurshman)." In Foundations for Interdisciplinarity in the Life Sciences: Concise Monographs. Springer Nature Switzerland, 2025. https://doi.org/10.1007/978-3-031-94833-6_6.

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Abstract This chapter notes that assigning functions to artifacts and technologies is crucially important for a number of different reasons: in particular, it can explain how and why artifacts are used in the ways that they are, which artifacts are stable parts of society. In turn, this can help justify social policies and interventions. However, how to assign functions to artifacts is not yet fully clear. The most popular attempt to do so appeals to the intentions of the designer of the artifact—though others have tried to do so by appeal to the history of use of the artifact. However, in thi
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Conference papers on the topic "Chatbot interventions"

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Shaker, Rana, Nada Ibrahim, and Slim Abdennadher. "Detecting Depressive Symptoms: Activity Tracking and Chatbot Intervention." In 2024 IEEE 12th International Conference on Serious Games and Applications for Health (SeGAH). IEEE, 2024. http://dx.doi.org/10.1109/segah61285.2024.10639580.

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Hermawan, Latius, Deris Stiawan, Rizma Adlia Syakurah, Meilinda, and Diyaz Syauki Ikhsan. "Mental Health with Machine Learning: A Prediction-Based Intervention Chatbot for Mental Health Conversations." In 2024 11th International Conference on Electrical Engineering, Computer Science and Informatics (EECSI). IEEE, 2024. https://doi.org/10.1109/eecsi63442.2024.10776244.

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Olapade, Mayowa, Tarlan Hasanli, Abdul-Rasheed Ottun, Adeyinka Akintola, Mohan Liyanage, and Huber Flores. "Pervasive Chatbots: Investigating Chatbot Interventions for Multi-Device Applications." In UMAP '24: 32nd ACM Conference on User Modeling, Adaptation and Personalization. ACM, 2024. http://dx.doi.org/10.1145/3627043.3659570.

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Bhosale, Aditi, Aayushi Masurekar, Shraddha Thaker, and Nikahat Mulla. "Stress Level and Emotion Detection via Video Analysis, and Chatbot Interventions for Emotional Distress." In 2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT). IEEE, 2023. http://dx.doi.org/10.1109/icccnt56998.2023.10307103.

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Kushki, Ali, Anne Garcia, Wayne Wright, and Victoria Lowell. "Enhancing AI Literacy for ELL Instruction: An Intervention With Pre-Service Teachers." In Purdue AI in P-12 Education Conference. Purdue University, 2025. https://doi.org/10.5703/1288284317891.

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This study examines pre-service teachers’(PSTs) familiarity with and use of AI tools, specifically ChatGPT, for teaching and assessing English Language Learners (ELLs). 90 PSTs from a Midwest U.S. university completed pre- and post-intervention surveys. The intervention included a lecture on AI and five 10-minute ChatGPT-3 sessions focused on ELL lesson planning. Results showed significant increases in AI familiarity and usage. Effect sizes, however, were small and medium, respectively, suggesting the need for more targeted interventions to enhance PSTs’ skills.
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Zhang, Yuqing, Shengfeng Qin, and Chenyu Ge. "Leveraging Digital Twins and Generative AI to Alleviate Loneliness Among Elderly Adults Living Alone Through Smart Flowerpot Design." In 16th International Conference on Applied Human Factors and Ergonomics (AHFE 2025). AHFE International, 2025. https://doi.org/10.54941/ahfe1006632.

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Loneliness and Social Isolation from elder people present a critical factor in different diseases of aging, necessitating tailored intervention for individuals to effectively engaging with interventions and interacting to their stakeholders. A great deal of research efforts has been made to tackle the challenging issues related to loneliness and social isolations of elder people, mainly focusing on develop various personal and group interventions such as social robots, group/community activity interventions, serious games, and Chatbots. The key barrier to have long-term impacts from these inte
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Schuler, Timo, and Edy Portmann. "Grateful Chatbots: Public Sensemaking through Individual Gratitude Interventions." In 2023 Ninth International Conference on eDemocracy & eGovernment (ICEDEG). IEEE, 2023. http://dx.doi.org/10.1109/icedeg58167.2023.10122089.

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Yarovenko-Kuzminykh, Nina, Manuel Caeiro-Rodríguez, Fernando-Ariel Mikic-Fonte, and Martín Llamas-Nistal. "Using a generative AI chatbot for SRL measurement and intervention." In 2024 International Symposium on Computers in Education (SIIE). IEEE, 2024. http://dx.doi.org/10.1109/siie63180.2024.10604531.

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Tang, Xiao, Zhuying Li, Xin Sun, Xuhai Xu, and Min-Ling Zhang. "ZzzMate: A Self-Conscious Emotion-Aware Chatbot for Sleep Intervention." In CHI EA '25: Extended Abstracts of the CHI Conference on Human Factors in Computing Systems. ACM, 2025. https://doi.org/10.1145/3706599.3720224.

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Schwartz, R. X., Aparna Ramanan, Disha Patel, Annabel Lynch, Sonia Baee, and Laura Barnes. "DARA: Development of a Chatbot Support System for an Anxiety Reduction Digital Intervention." In 2022 Systems and Information Engineering Design Symposium (SIEDS). IEEE, 2022. http://dx.doi.org/10.1109/sieds55548.2022.9799419.

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Reports on the topic "Chatbot interventions"

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Ajzenman, Nicolás, Gregory Elacqua, Analia Jaimovich, and Graciela Pérez-Nuñez. Humans versus Chatbots: Scaling-up behavioral interventions to reduce teacher shortages. Inter-American Development Bank, 2023. http://dx.doi.org/10.18235/0005059.

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Empirical results in economics often stem from success in controlled experimental settings, but often fail when scaled up. This study presents a behavioral intervention and a scalable equivalent aimed at reducing teacher shortages by motivating high school students to pursue an education degree. The intervention was delivered through WhatsApp chats by trained human promoters (humans arm) and rule-based Chatbots programmed to closely replicate the humans program (bots arm). Results show that the humans arm successfully increased high-school students demand for and enrollment in education majors
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