Training and educational materials

MENHIR is a Research and Innovation Staff Exchange (RISE) project. The RISE programme represents a unique opportunity for individuals to expand their horizons, enlarge their networks, receive innovative research training and develop new career opportunities.

Thus, one of the main dimensions of MENHIR is training doctoral researchers, post-doctoral fellows as well as technicians, managerial and administrative staff in the multiple disciplines involved, which include information and communication technologies, psychology and cognitive science, conversational systems, user and conversation modelling, knowledge representation, storage and annotation, and cross-modal analysis.

The training materials developed within MENHIR are shared here openly for anybody who is interested in these topics.

Conversational systems for mental e-health

The materials presented in this section have been generated for the MENHIR 2020 Summer Doctoral School. You can find all the details in the Doctoral School website.

Open Educational resources

MENHIR Scientific publications, videos and slides

You can find our scientific publications in the dissemination section, and videos and slides at the end of the downloads section.

Training events organized by MENHIR

Internacional Doctoral Summer School in Conversational Systems

Registration is now open for the Internacional Doctoral Summer School in Conversational Systems for Health Applications that will take place in the beutiful Carmen de la Victoria (Granada, Spain) from 31st August to 3rd September 2022. The school provides a platform for getting to know and discuss current approaches and research streams in the field …

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MENHIR International Doctoral Summer School in Conversational Systems for Mental e-health

Dates: 5-9 October 2020 Web: The summer school on Conversational Systems for Mental e-health aims to provide innovative training for early stage researchers ​ (ESR) ​ in the application of conversational systems to the e-health and wellbeing domains​ . The school is mainly targeting postgraduate students (PhD and master), but it is also open …

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Training on Open Educational Resources

Zoraida Callejas has participated as lecturer in the course “Digital Educational Resources in the Universitary Context”, as part of the Plan for Teacher Training and Innovation of the University of Granada. She has described Creative Common (CC) licences, explained how to search for CC multimedia resources, and how to use them. She has also introduced …

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Fería de las ingenierías

MENHIR inspiring scientific and technological vocations

Our colleague David Griol from University of Granada (UGR) has participated today in the event Feria de las Ingenierías, organized by UGR to develop scientific and technological vocations in middle and high school students. The students have visited different schools at UGR related to science and technology studies, where they have been engaged in different …

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RTTHSS2019: Summer School on Speech Technologies

María Inés Torres (UPV) will give a lecture on VoiceBots in the RTTH Summer School 2019 (RTTHSS2019). The school is sponsored by the Spanish Red Temática en Tecnologías del Habla (RTTH) and organized by the Speech and Natural Language Technologies Department of Vicomtech. The RTTHSS2019 will take place in Donostia-San Sebastián (Spain), from July 2nd to July 5th …

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Reading list

We have a Zotero group to share interesting papers, books, and web pages related to MENHIR topics. The contents of the group are public and listed below. You can also check them here.

If you want to know about the publications produced within MENHIR, please check the dissemination section or subscribe to our newsletter.

Batliner, A., Neumann, M., Burkhardt, F., Baird, A., Meyer, S., Vu, N. T., & Schuller, B. W. (2022). Ethical Awareness in Paralinguistics: A Taxonomy of Applications. International Journal of Human–Computer Interaction, 0(0), 1–18.
Koulouri, T., Macredie, R. D., & Olakitan, D. (2022). Chatbots to Support Young Adults’ Mental Health: An Exploratory Study of Acceptability. ACM Transactions on Interactive Intelligent Systems, 12(2), 11:1-11:39.
Eagle, T., Blau, C., Bales, S., Desai, N., Li, V., & Whittaker, S. (2022). “I don’t know what you mean by `I am anxious’”: A New Method for Evaluating Conversational Agent Responses to Standardized Mental Health Inputs for Anxiety and Depression. ACM Transactions on Interactive Intelligent Systems, 12(2), 12:1-12:23. Download
Ahmad, R., Siemon, D., Gnewuch, U., & Robra-Bissantz, S. (2022). Designing Personality-Adaptive Conversational Agents for Mental Health Care. Information Systems Frontiers.
Alqahtani, F., Orji, R., Riper, H., Mccleary, N., Witteman, H., & Mcgrath, P. (2022). Motivation-based approach for tailoring persuasive mental health applications. Behaviour & Information Technology, 0(0), 1–27.
Luna-Jiménez, C., Kleinlein, R., Griol, D., Callejas, Z., Montero, J. M., & Fernández-Martínez, F. (2022). A Proposal for Multimodal Emotion Recognition Using Aural Transformers and Action Units on RAVDESS Dataset. Applied Sciences, 12(1), 327.
Lidholm, L. (2022). Wearing Your Heart on Your Sleeve? EmoWri: A Wearable Tool to Start Sensitive Conversations : A Case Study with Parents and their Teenage Children.
Guidelines 02/2021 on Virtual Voice Assistants | European Data Protection Board. (2022).
Bayerl, S. P., Tammewar, A., Riedhammer, K., & Riccardi, G. (2021). Detecting Emotion Carriers by Combining Acoustic and Lexical Representations. ArXiv:2112.06603 [Cs, Eess].
Cañas, P., Griol, D., & Callejas, Z. (2021). Towards versatile conversations with data-driven dialog management and its integration in commercial platforms. Journal of Computational Science, 55, 101443.
Potts, C., Ennis, E., Bond, R. B., Maurice, M. D., McTear, M. F., Boyd, K., Broderick, T., Malcolm, M., Kuosmanen, L., Nieminen, H., Vartiainen, A. K., Kostenius, C., Cahill, B., Vakaloudis, A., McConvey, G., & O’Neill, S. (2021). Chatbots to Support Mental Wellbeing of People Living in Rural Areas: Can User Groups Contribute to Co-design? Journal of Technology in Behavioral Science.
Sweeney, C., Potts, C., Ennis, E., Bond, R., Mulvenna, M. D., O’neill, S., Malcolm, M., Kuosmanen, L., Kostenius, C., Vakaloudis, A., Mcconvey, G., Turkington, R., Hanna, D., Nieminen, H., Vartiainen, A.-K., Robertson, A., & Mctear, M. F. (2021). Can Chatbots Help Support a Person’s Mental Health? Perceptions and Views from Mental Healthcare Professionals and Experts. ACM Transactions on Computing for Healthcare, 2(3), 25:1-25:15.
Lutz, C., & Newlands, G. (2021). Privacy and smart speakers: A multi-dimensional approach. The Information Society, 37(3), 147–162.
Vaidyam, A. N., Linggonegoro, D., & Torous, J. (2021). Changes to the Psychiatric Chatbot Landscape: A Systematic Review of Conversational Agents in Serious Mental Illness: Changements du paysage psychiatrique des chatbots: une revue systématique des agents conversationnels dans la maladie mentale sérieuse. The Canadian Journal of Psychiatry, 66(4), 339–348.
Yang, S., Lee, J., Sezgin, E., Bridge, J., & Lin, S. (2021). Clinical Advice by Voice Assistants on Postpartum Depression: Cross-Sectional Investigation Using Apple Siri, Amazon Alexa, Google Assistant, and Microsoft Cortana. JMIR MHealth and UHealth, 9(1), e24045.
Luna-Jiménez, C., Griol, D., Callejas, Z., Kleinlein, R., Montero, J. M., & Fernández-Martínez, F. (2021). Multimodal Emotion Recognition on RAVDESS Dataset Using Transfer Learning. Sensors, 21(22), 7665.
Kraus, M., Wagner, N., Callejas, Z., & Minker, W. (2021). The Role of Trust in Proactive Conversational Assistants. IEEE Access, 9, 112821–112836.
Greco, C., Matarazzo, O., Cordasco, G., Vinciarelli, A., Callejas, Z., & Esposito, A. (2021). Discriminative Power of EEG-Based Biomarkers in Major Depressive Disorder: A Systematic Review. IEEE Access, 9, 112850–112870.
Callejas, Z., & Griol, D. (2021). Conversational Agents for Mental Health and Wellbeing. In T. Lopez-Soto (Ed.), Dialog Systems: A Perspective from Language, Logic and Computation (pp. 219–244). Springer International Publishing.
D’Alfonso, S. (2020). AI in mental health. Current Opinion in Psychology, 36, 112–117.
Meadows, R., Hine, C., & Suddaby, E. (2020). Conversational agents and the making of mental health recovery. Digital Health, 6, 2055207620966170.
McTear, M. (2020). Conversational AI: Dialogue Systems, Conversational Agents, and Chatbots. Morgan & Claypool.
Vaughn, L. M., & Jacquez, F. (2020). Participatory Research Methods – Choice Points in the Research Process. Journal of Participatory Research Methods, 1(1), 13244.
Tammewar, A., Cervone, A., Messner, E.-M., & Riccardi, G. (2020). Annotation of Emotion Carriers in Personal Narratives. Proceedings of the 12th Language Resources and Evaluation Conference, 1517–1525.
Kearns, W. R., Kaura, N., Divina, M., Vo, C., Si, D., Ward, T., & Yuwen, W. (2020). A Wizard-of-Oz Interface and Persona-based Methodology for Collecting Health Counseling Dialog. Extended Abstracts of the 2020 CHI Conference on Human Factors in Computing Systems, 1–9.
Fusar-Poli, P., Salazar de Pablo, G., De Micheli, A., Nieman, D. H., Correll, C. U., Kessing, L. V., Pfennig, A., Bechdolf, A., Borgwardt, S., Arango, C., & van Amelsvoort, T. (2020). What is good mental health? A scoping review. European Neuropsychopharmacology, 31, 33–46.
Yalamanchili, B., Kota, N. S., Abbaraju, M. S., Nadella, V. S. S., & Alluri, S. V. (2020). Real-time Acoustic based Depression Detection using Machine Learning Techniques. 2020 International Conference on Emerging Trends in Information Technology and Engineering (Ic-ETITE), 1–6.
Jesus, A. de. (2020). Chatbots for Mental Health and Therapy – Comparing 5 Current Apps and Use Cases. Emerj.
Abd-Alrazaq, A., Safi, Z., Alajlani, M., Warren, J., Househ, M., & Denecke, K. (2020). Technical Metrics Used to Evaluate Health Care Chatbots: Scoping Review. Journal of Medical Internet Research, 22(6), undefined-undefined.
Abd-Alrazaq, A. A., Rababeh, A., Alajlani, M., Bewick, B. M., & Househ, M. (2020). Effectiveness and Safety of Using Chatbots to Improve Mental Health: Systematic Review and Meta-Analysis. Journal of Medical Internet Research, 22(7), undefined-undefined. Download
Denecke, K., Vaaheesan, S., & Arulnathan, A. (2020). A Mental Health Chatbot for Regulating Emotions (SERMO) - Concept and Usability Test. IEEE Transactions on Emerging Topics in Computing, 1–1.
Abd-alrazaq, A. A., Alajlani, M., Alalwan, A. A., Bewick, B. M., Gardner, P., & Househ, M. (2019). An overview of the features of chatbots in mental health: A scoping review. International Journal of Medical Informatics, 132, 103978.
Gaffney, H., Mansell, W., & Tai, S. (2019). Conversational Agents in the Treatment of Mental Health Problems: Mixed-Method Systematic Review. JMIR Mental Health, 6(10), e14166.
Montenegro, J. L. Z., da Costa, C. A., & da Rosa Righi, R. (2019). Survey of conversational agents in health. Expert Systems with Applications, 129, 56–67.
Bendig, E., Erb, B., Schulze-Thuesing, L., & Baumeister, H. (2019). The Next Generation: Chatbots in Clinical Psychology and Psychotherapy to Foster Mental Health – A Scoping Review. Verhaltenstherapie, 1–13. Download
Vaidyam, A. N., Wisniewski, H., Halamka, J. D., Kashavan, M. S., & Torous, J. B. (2019). Chatbots and Conversational Agents in Mental Health: A Review of the Psychiatric Landscape. The Canadian Journal of Psychiatry, 64(7), 456–464.
Chen, A. T., Wu, S., Tomasino, K. N., Lattie, E. G., & Mohr, D. C. (2019). A multi-faceted approach to characterizing user behavior and experience in a digital mental health intervention. Journal of Biomedical Informatics, 94, 103187. Download
Lee, M., Ackermans, S., van As, N., Chang, H., Lucas, E., & IJsselsteijn, W. (2019). Caring for Vincent: A Chatbot for Self-Compassion. Proceedings of the 2019 CHI Conference on Human Factors in Computing Systems, 1–13.
Park, S., Choi, J., Lee, S., Oh, C., Kim, C., La, S., Lee, J., & Suh, B. (2019). Designing a Chatbot for a Brief Motivational Interview on Stress Management: Qualitative Case Study. Journal of Medical Internet Research, 21(4), e12231.
11 Healthcare Chatbots Which Improve Patient Experience. (2019, March 9). ReferralMD.
Nadarzynski, T., Miles, O., Cowie, A., & Ridge, D. (2019). Acceptability of artificial intelligence (AI)-led chatbot services in healthcare: A mixed-methods study. DIGITAL HEALTH, 5, 2055207619871808. Download
Kretzschmar, K., Tyroll, H., Pavarini, G., Manzini, A., & Singh, I. (2019). Can Your Phone Be Your Therapist? Young People’s Ethical Perspectives on the Use of Fully Automated Conversational Agents (Chatbots) in Mental Health Support. Biomedical Informatics Insights, 11, 1178222619829083.
Miner, A. S., Shah, N., Bullock, K. D., Arnow, B. A., Bailenson, J., & Hancock, J. (2019). Key Considerations for Incorporating Conversational AI in Psychotherapy. Frontiers in Psychiatry, 10.
Baumel, A., Muench, F., Edan, S., & Kane, J. M. (2019). Objective User Engagement With Mental Health Apps: Systematic Search and Panel-Based Usage Analysis. Journal of Medical Internet Research, 21(9), e14567. Download
Code of conduct for data-driven health and care technology. (2019). GOV.UK.
Palanica, A., Flaschner, P., Thommandram, A., Li, M., & Fossat, Y. (2019). Physicians’ Perceptions of Chatbots in Health Care: Cross-Sectional Web-Based Survey. Journal of Medical Internet Research, 21(4), e12887.
D’Alfonso, S., Carpenter, N., & Alvarez-Jimenez, M. (2018). Making the MOST out of smartphone opportunities for mental health. Proceedings of the 30th Australian Conference on Computer-Human Interaction, 577–581. Download
Ayoola, I., Wetzels, M., Peters, P., van Berlo, S., & Feijs, L. (2018). Do CHANGE platform: A service-based architecture for secure aggregation and distribution of health and wellbeing data. International Journal of Medical Informatics, 117, 103–111.
Laranjo, L., Dunn, A. G., Tong, H. L., Kocaballi, A. B., Chen, J., Bashir, R., Surian, D., Gallego, B., Magrabi, F., Lau, A. Y. S., & Coiera, E. (2018). Conversational agents in healthcare: a systematic review. Journal of the American Medical Informatics Association : JAMIA, 25(9), 1248–1258.