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Detecting Alzheimer's Disease by estimating attention and elicitation path through the alignment of spoken picture descriptions with the picture prompt [article]

Bahman Mirheidari and Yilin Pan and Traci Walker and Markus Reuber and Annalena Venneri and Daniel Blackburn and Heidi Christensen
2019 arXiv   pre-print
the automatic speech recogniser (ASR); this achieved around 72% using the timing information from the ASR outputs.  ...  Cognitive decline is a sign of Alzheimer's disease (AD), and there is evidence that tracking a person's eye movement, using eye tracking devices, can be used for the automatic identification of early signs  ...  It is therefore highly desirable to build a cheap and reliable automatic screening tool to identify people at risk of developing dementia.  ... 
arXiv:1910.00515v1 fatcat:qglhezrrn5gjhadidzlmcemtmi

Innovative diagnostic tools for early detection of Alzheimer's disease

Christoph Laske, Hamid R. Sohrabi, Shaun M. Frost, Karmele López-de-Ipiña, Peter Garrard, Massimo Buscema, Justin Dauwels, Surjo R. Soekadar, Stephan Mueller, Christoph Linnemann, Stephanie A. Bridenbaugh, Yogesan Kanagasingam (+2 others)
2015 Alzheimer's & Dementia  
further cognitive evaluation and dementia diagnostics.  ...  and diagnostic tools for AD.  ...  Again, this does not take into account other indications for the use of these machines.  ... 
doi:10.1016/j.jalz.2014.06.004 pmid:25443858 fatcat:jw635ttrmzemljadnrae3rlbhu

Towards attention monitoring of older adults with cognitive impairment during interaction with an embodied conversational agent

Pierre Wargnier, Adrien Malaise, Julien Jacquemot, Samuel Benveniste, Pierre Jouvelot, Maribel Pino, Anne-Sophie Rigaud
2015 2015 3rd IEEE VR International Workshop on Virtual and Augmented Assistive Technology (VAAT)  
Embodied conversational agents (ECAs) are virtual characters using verbal and non-verbal communication for Human-machine interaction.  ...  We developed Louise, a semi-automatic ECA prototype that aims to compensate, through attention monitoring, for a user's attentional disorders by performing autonomous prompting, i.e., calling the user  ...  Such a semi-automatic approach is well suited for rapid design prototyping and scenario screening, before embarking on the development of an automatic full-fledged system.  ... 
doi:10.1109/vaat.2015.7155406 fatcat:2ln76o4lsngapatlnwzqadnoz4

Using linguistic features longitudinally to predict clinical scores for Alzheimer's disease and related dementias

Maria Yancheva, Kathleen Fraser, Frank Rudzicz
2015 Proceedings of SLPAT 2015: 6th Workshop on Speech and Language Processing for Assistive Technologies  
associated with dementia.  ...  We use a set of 477 lexicosyntactic, acoustic, and semantic features extracted from 393 speech samples in DementiaBank to predict clinical MMSE scores, an indicator of the severity of cognitive decline  ...  that has used them to infer a clinical score for dementia -an indicator of the degree of cognitive decline.  ... 
doi:10.18653/v1/w15-5123 dblp:conf/slpat/YanchevaFR15 fatcat:imix7nbc6jhifdhalziunai4hu

Artificial Intelligence, speech and language processing approaches to monitoring Alzheimer's Disease: a systematic review [article]

Sofia de la Fuente Garcia, Craig Ritchie, Saturnino Luz
2020 arXiv   pre-print
This paper summarises current findings on the use of artificial intelligence, speech and language processing to predict cognitive decline in the context of Alzheimer's Disease, detailing current research  ...  Attempts to close these gaps should support translation of future research into clinical practice.  ...  Acknowledgements We thank Marshall Dozier, the Academic Support Librarian for her help with the search queries and the PROSPERO protocol.  ... 
arXiv:2010.06047v1 fatcat:gowcdpj6pfddfns3gh7amtqpze

Digitalization of education and mental health

R. Shilko, S. Egorov, Y. Zinchenko
2021 European psychiatry  
The reported study was funded by the Russian Foundation for Basic Research, project number 18-29-22049.  ...  in education mediated by digital technologies.ResultsA striking example of the negative impact of total digitalization of education was the sharp deterioration in mental health in the context of the transition  ...  Speech processing methods offer great potential to fully automatically screen for prototypic indicators of both dementia and depressive disorders.  ... 
doi:10.1192/j.eurpsy.2021.937 fatcat:abpsu4w2lrberhqygousb73h24

Supervised digital neuropsychological tests for cognitive decline in elderly: usability and clinical validity (Preprint)

Francesca Lunardini, Matteo Luperto, Marta Romeo, Nicola Basilico, Katia Daniele, Domenico Azzolino, Sarah Damanti, Carlo Abbate, Daniela Mari, Matteo Cesari, N Alberto Borghese, Simona Ferrante
2020 JMIR mHealth and uHealth  
With the ultimate goal of providing a monitoring tool that could be used to support the screening for cognitive decline, this study aims to develop a supervised, digitized version of 2 neuropsychological  ...  Dementia is a major and growing health problem, and early diagnosis is key to its management.  ...  The state transitions of the dialogue manager can also be activated by the TabletWebApp, which automatically recognizes the user's actions and sends a message to trigger proper transition.  ... 
doi:10.2196/17963 pmid:32955442 fatcat:j4njtyyxafhctchipf42d3fxoq

Non-Invasive Classification of Alzheimer's Disease Using Eye Tracking and Language

Oswald Barral, Hyeju Jang, Sally Newton-Mason, Sheetal Shajan, Thomas Soroski, Giuseppe Carenini, Cristina Conati, Thalia Shoshana Field
2020 Machine Learning in Health Care  
While related work has investigated AD classification using speech collected during spontaneous speech tasks, no prior research has studied the utility of eye movements and their combination with speech  ...  Therefore, investigating speech and eye movements is promising as a non-invasive method for early classification of AD.  ...  Following automatic transcription, transcripts were manually verified for accuracy by human transcribers.  ... 
dblp:conf/mlhc/BarralJNSSCCF20 fatcat:77v5txpe2jc7zgk3amfvffs4nm

Field evaluation with cognitively-impaired older adults of attention management in the Embodied Conversational Agent Louise

Pierre Wargnier, Giovanni Carletti, Yann Laurent-Corniquet, Samuel Benveniste, Pierre Jouvelot, Anne-Sophie Rigaud
2016 2016 IEEE International Conference on Serious Games and Applications for Health (SeGAH)  
Finally, to gain further insights on conversation management and provide evidence-based suggestions for future work, we performed an anthropological analysis of the whole experiment.  ...  Louise is a new, semi-automatic prototype of an Embodied Conversational Agent (ECA), a virtual character interacting with users through social-like communication, adapted to the special needs of older  ...  ACKNOWLEDGMENT The authors would like to thank RégionÎle-de-France for funding part of this project.  ... 
doi:10.1109/segah.2016.7586282 dblp:conf/segah/WargnierCLBJR16 fatcat:a7gfjuehs5gulbhhdyzywpz5za

Usability assessment of interaction management support in LOUISE, an ECA-based user interface for elders with cognitive impairment

Pierre Wargnier, Samuel Benveniste, Pierre Jouvelot, Anne-Sophie Rigaud
2018 Technology and Disability  
foundations for a domain-specific XML-based language for task-oriented assistive scenarios.  ...  BACKGROUND: Embodied conversational agents (ECA) are possible enablers of assistive technologies, in particular for older adults with cognitive impairment.  ...  Acknowledgements We would like to thank all the care personal of the Broca hospital who helped us conduct this study. This work was funded by a public grant of Région Île-de-France.  ... 
doi:10.3233/tad-180189 fatcat:woraqc27bbcfxjgrbk6gks222m

A Method for Analysis of Patient Speech in Dialogue for Dementia Detection [article]

Saturnino Luz, Sofia de la Fuente, Pierre Albert
2018 arXiv   pre-print
non-invasive and low-cost mental health monitoring tools for use at scale.  ...  We present an approach to automatic detection of Alzheimer's type dementia based on characteristics of spontaneous spoken language dialogue consisting of interviews recorded in natural settings.  ...  Automatic detection of signs of AD in speech can provide useful tools for the design of technologies for care-giving and cognitive health monitoring to help address these challenges.  ... 
arXiv:1811.09919v1 fatcat:dos4u7267zhpnpoqvht5zi5myq

Page 672 of Psychological Abstracts Vol. 89, Issue 2 [page]

2002 Psychological Abstracts  
In conclusion, components of the anger- hostility complex are of limited use for predicting CAD symptoms.  ...  —This study tested for differential patterns of cognitive decline in 33 twin pairs (aged 60— 88 yrs old) for which both were nondemented, but | member of the pair went on to develop dementia.  ... 

Classification of Alzheimer's Disease Leveraging Multi-task Machine Learning Analysis of Speech and Eye-Movement Data

Hyeju Jang, Thomas Soroski, Matteo Rizzo, Oswald Barral, Anuj Harisinghani, Sally Newton-Mason, Saffrin Granby, Thiago Monnerat Stutz da Cunha Vasco, Caitlin Lewis, Pavan Tutt, Giuseppe Carenini, Cristina Conati (+1 others)
2021 Frontiers in Human Neuroscience  
In this article, we present the results from a machine learning analysis of a novel multimodal dataset for AD classification.  ...  The analysis of the individual novel tasks showed similar classification accuracy when compared to established tasks, demonstrating their discriminative ability for memory clinic patients.  ...  These results are highly promising for future investigations into non-invasive and automatic AD/MCI/SMC classification.  ... 
doi:10.3389/fnhum.2021.716670 pmid:34616282 pmcid:PMC8488259 fatcat:6r7vb7l4zjh5lok6wi3g52lejy

Improving the Assessment of Mild Cognitive Impairment in Advanced Age With a Novel Multi-Feature Automated Speech and Language Analysis of Verbal Fluency

Liu Chen, Meysam Asgari, Robert Gale, Katherine Wild, Hiroko Dodge, Jeffrey Kaye
2020 Frontiers in Psychology  
an automatic speech recognition (ASR) system to estimate the start time of each recalled word in the response.  ...  This set of time-based features along with standard count-based features (e.g., number of correctly retrieved animal names) were then used in a machine learning algorithm trained for distinguishing those  ...  AUTHOR CONTRIBUTIONS All authors listed have made a substantial, direct and intellectual contribution to the work, and approved it for publication.  ... 
doi:10.3389/fpsyg.2020.00535 pmid:32328008 pmcid:PMC7160369 fatcat:32vglcb3ffhv7d6z6lf2ai5qkq

Photo-Integrated Conversation Moderated by Robots for Cognitive Health in Older Adults: A Randomized Controlled Trial [article]

Mihoko Otake-Matsuura, Seiki Tokunaga, Kumi Watanabe, Masato S. Abe, Takuya Sekiguchi, Hikaru Sugimoto, Taishiro Kishimoto, Takashi Kudo
2019 medRxiv   pre-print
decline and dementia.  ...  Among the process outcome measures (i.e., linguistic characteristics of speech), the amount of speech and richness of words were larger for the intervention group.  ...  For the analysis, first, we used Google Cloud Speech-to-Text (Google, Mountain View, CA, 2018) to automatically transcribe audio to text data, and then manually checked the entire text by comparing it  ... 
doi:10.1101/19004796 fatcat:rsowu2zerfdbrmxwdnswy57jsm
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