Editorial: Multimodal Interaction Technologies for Mental Well-Being Provisionally Accepted
Iulia Lefter
Laurens Rook
Theodora Chaspari- 1Delft University of Technology, Netherlands
- 2University of Colorado Boulder, United States
The world is witnessing a dramatic increase in people suffering from mental disorders and disorders of the 2 brain -the majority of which put a heavy burden on the quality of life of individuals, families, institutions 3 and society as a whole (Wittchen et al., 2011). Research shows that mental well-being of patients, caretakers 4 and healthcare professionals generally suffers from the complicated nature of the mental disorder, the 5 length and intensity of the treatment, the possibility of relapse, and long waiting lists that prevent timely 6 reception of adequate care (Holmes et al., 2014;Roefs et al., 2022). Against this backdrop, multimodal 7 interaction technologies hold promise for the digital monitoring and support of relevant stakeholders in 8 conjunction with existing protocols and practices within the healthcare system.
Keywords: Mental well-being, Multimodal Interaction, Multimodal Sensing, Affective Computing, Virtual agents, e-health, responsible ai
Received: 05 Apr 2024;
Accepted: 09 Apr 2024.
Copyright: © 2024 Lefter, Rook and Chaspari. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
* Correspondence: Dr. Iulia Lefter, Delft University of Technology, Delft, Netherlands