HCI and Affective Health: Taking stock of a decade of studies and charting future research directions
P Sanches, A Janson, P Karpashevich… - Proceedings of the …, 2019 - dl.acm.org
In the last decade, the number of articles on HCI and health has increased dramatically. We
extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of …
extracted 139 papers on depression, anxiety and bipolar health issues from 10 years of …
Automated audiovisual depression analysis
Analysis of observable behavior in depression primarily relies on subjective measures. New
computational approaches make possible automated audiovisual measurement of …
computational approaches make possible automated audiovisual measurement of …
Dynamic multimodal measurement of depression severity using deep autoencoding
H Dibeklioğlu, Z Hammal… - IEEE journal of biomedical …, 2017 - ieeexplore.ieee.org
Depression is one of the most common psychiatric disorders worldwide, with over 350
million people affected. Current methods to screen for and assess depression depend …
million people affected. Current methods to screen for and assess depression depend …
Self-reported symptoms of depression and PTSD are associated with reduced vowel space in screening interviews
Reduced frequency range in vowel production is a well documented speech characteristic of
individuals with psychological and neurological disorders. Affective disorders such as …
individuals with psychological and neurological disorders. Affective disorders such as …
Enhanced depression detection from speech using quantum whale optimization algorithm for feature selection
There is an urgent need to detect depression using a non-intrusive approach that is reliable
and accurate. In this paper, a simple and efficient unimodal depression detection approach …
and accurate. In this paper, a simple and efficient unimodal depression detection approach …
Open challenges in modelling, analysis and synthesis of human behaviour in human–human and human–machine interactions
Modelling, analysis and synthesis of behaviour are the subject of major efforts in computing
science, especially when it comes to technologies that make sense of human–human and …
science, especially when it comes to technologies that make sense of human–human and …
[HTML][HTML] Prosodic alignment toward emotionally expressive speech: Comparing human and Alexa model talkers
This study tests whether individuals vocally align toward emotionally expressive prosody
produced by two types of interlocutors: a human and a voice-activated artificially intelligent …
produced by two types of interlocutors: a human and a voice-activated artificially intelligent …
[HTML][HTML] Affective computing for late-life mood and cognitive disorders
Affective computing (also referred to as artificial emotion intelligence or emotion AI) is the
study and development of systems and devices that can recognize, interpret, process, and …
study and development of systems and devices that can recognize, interpret, process, and …
Multimodal mild depression recognition based on EEG-EM synchronization acquisition network
J Zhu, Y Wang, R La, J Zhan, J Niu, S Zeng… - IEEE Access, 2019 - ieeexplore.ieee.org
In this paper, we used electroencephalography (EEG)-eye movement (EM) synchronization
acquisition network to simultaneously record both EEG and EM physiological signals of the …
acquisition network to simultaneously record both EEG and EM physiological signals of the …
Automatic depression classification based on affective read sentences: opportunities for text-dependent analysis
In the future, automatic speech-based analysis of mental health could become widely
available to help augment conventional healthcare evaluation methods. For speech-based …
available to help augment conventional healthcare evaluation methods. For speech-based …