Mental health monitoring through interactive conversations (MENHIR) is an H2020 Research and Innovation Staff Exchange (RISE) project. The MENHIR project aims to research and develop conversational technologies to promote mental health and assist people with mental ill health (mild depression and anxiety) manage their conditions.
What is the MENHIR Project about?
During this 4 years the 8 partners will work together in several areas such emotion recognition in speech, automatic conversation management, mental health, and other multidisciplinary topics. This project aims to serve as a step further in conversational technologies researching new areas and producing new tools to assist people with anxiety and mild depression.
How does MENHIR work?
Providing new insights and opportunities for multidisciplinary and cross-sectorial synergies
MENHIR aims to create a transdisciplinary, cross-sectorial and international network to go beyond the current state of art of conversational systems and boost their potential to have a positive impact in mental health.
Providing a solid basis for the future
MENHIR results will allow to gain understanding on how technology can support and improve the wellbeing of people with mental ill health. This will set the basis for the development of a new generation of personalized conversational assistants.
Strenghts of MENHIR chatbot science
Conversational support 24/7
The developed technology will help to implement chatbots that can serve as a conversational counterpart to singpost resources, monitor wellbeing, provide useful information and enhance motivation.
MENHIR provides support for linguistic and paralinguistic feature-based emotion recognition from speech to provide estimations of the user's emotion, which will be coupled with estandardizad questionnaires to give a long-term overview of their state.
RECENT NEWS & EVENTS
Check the latest content uploaded by MENHIR's partners...
We are so proud about the first PhD obtained by a young researcher in our MENHIR team 😀 Robin Turkington has passed his PhD viva, with a Thesis entitled: “Machine learning of anonymous call data from national suicide prevention helpline services: Understanding caller behaviour and policy implications” Congratulations to Robin and his supervisory team (Raymond …
#EUfunded #H2020 research projects @H2020_Faith, @MenhirH2020 and @OncoRelief come together in a virtual joint workshop to gather feedback on their #usercentric#healthcare solutions in support of people suffering from poor #MentalHealth. Follow us for updates
Following the successful ACM In-Cooperation CUI conferences in 2019 and 2020, CUI 2021 will be a hybrid conference with sessions online and in person in Bilbao, Spain. The conference will run from 27–29 July 2021. Topics relevant to the conference include, but are not limited to: voice user experience speech interfaces speech interface theory development …
Las máquinas tienen su propio lenguaje. Cuando queremos comunicarnos con ellas, tenemos que adaptarnos a una nueva forma de comunicación, usar el teclado, hacer clics, buscar en menús… No se parece a como nos comunicamos entre nosotros, charlando. Sin embargo, hay máquinas que son capaces de entender lo que les decimos y hablarnos en nuestro …
The 22nd ACM Conference on Multimodal Interaction is scheduled for 25-29 October 2020 in Utrecht, the Netherlands. MENHIR has teamed up with other European projects to explore how e-coaches might benefit from spatially and time-multiplexed interfaces and from different communication modalities (text, visual, audio, etc.). The workshop aims to establish itself as the premiere shared forum …
Un programa europeo utilizará ‘chatbots’ para ayudar a pacientes con problemas de salud mental (Neurocienciasonline)
Zoraida Callejas presents MENHIR to the general public in RadioLab, listen to the podcast (in Spanish), here: https://medialab.ugr.es/noticias/co3-el-proyecto-chatbot-con-zoraida-callejas/