A Robot Training Buddy for adults with ASD

Lead Research Organisation: University of Glasgow
Department Name: School of Computing Science

Abstract

Abstracts are not currently available in GtR for all funded research. This is normally because the abstract was not required at the time of proposal submission, but may be because it included sensitive information such as personal details.

Publications

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A.Deshmukh (2018) Shaping Robot Gestures to Shape Users' Perception: The Effect of Amplitude and Speed on Godspeed Ratings

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A.Deshmukh (2018) The More I Understand it, the Less I Like it: The Relationship Between Understandability and Godspeed Scores for Robotic Gestures

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Aloshban N (2021) Language or Paralanguage, This is the Problem: Comparing Depressed and Non-Depressed Speakers Through the Analysis of Gated Multimodal Units

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Aloshban N (2020) Detecting Depression in Less Than 10 Seconds

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Aloshban N (2021) What You Say or How You Say It? Depression Detection Through Joint Modeling of Linguistic and Acoustic Aspects of Speech in Cognitive Computation

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Alsofyani H (2021) Attachment Recognition in School Age Children Based on Automatic Analysis of Facial Expressions and Nonverbal Vocal Behaviour

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Alsofyani H (2022) Attachment Recognition in School-Age Children: A Multimodal Approach Based on Language and Paralanguage Analysis

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Amorese T (2022) Synthetic vs Human Emotional Faces: What Changes in Humans' Decoding Accuracy in IEEE Transactions on Human-Machine Systems

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B.Craenen (2018) Do We Really Like Robots that Match our Personality? The Case of Big-Five Traits, Godspeed Scores and Robotic Gestures

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Buker A (2019) Type Like a Man! Inferring Gender from Keystroke Dynamics in Live-Chats in IEEE Intelligent Systems

 
Description The project has developed systems for the automatic analysis of human behaviour, especially when it comes to the detection of possible mental issues (e.g., autism, depression, insecure attachment, etc.). The project has expanded the spectrum of social signals considered for automatic detection of mental health issues.
Exploitation Route The systems can be used in a clinical setting to test whether it can support doctors in their diagnostic activity. While having been designed for autism, the system can easily be adapted to any other issue that can be detected through a questionnaire (e.g., attachment, depression, etc.). The project made AI-driven systems more usable.
Sectors Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Healthcare
URL http://vinciarelli.net
 
Description The methodologies and the expertise developed during the project have been used and disseminated in the following events: Interview for Voices in AI by Byron Reese: https://voicesinai.com/episode/episode-78-a-conversation-with-alessandro-vinciarelli/?fbclid=IwAR1VWzVkqdqDb347V7JbEWrUGBWmuQ7m6bfHcpo1_scPS7FAOYwGt10fhuM Interview by Nick Heath for Tech Republic: https://www.techrepublic.com/article/facial-recognitions-failings-coping-with-uncertainty-in-the-age-of-machine-learning/?fbclid=IwAR36n3wdf0Wur-X472IfBz1KK97Cg5qLWFRER7THr8f76YDxbR4zPSAUU6s Course on Multimodal Interaction for Industry practitioners and adults learners in Switzerland: https://informatique.cuso.ch/index.php?id=2283&L=0&tx_displaycontroller%5BshowUid%5D=4363&fbclid=IwAR3t8e3dsm77sxYJ2rEIZ94vyEOPe3ulh8dCyIgTbRedoUD-grm8J2mht9w Interview for the Herald Scotland: https://www.heraldscotland.com/news/15812267.welcome-to-the-weird-world-of-the-fully-integrated-ai-home/?fbclid=IwAR1plh4rFgVFJTFiKMNzUkqxqvUDR2CUpvtBqKUbaGGM0NVIpIRl2fPmua8
First Year Of Impact 2021
Sector Communities and Social Services/Policy,Digital/Communication/Information Technologies (including Software),Healthcare,Other
Impact Types Cultural
 
Description SONICOM
Amount € 5,651,042 (EUR)
Funding ID 101017743 
Organisation European Commission H2020 
Sector Public
Country Belgium
Start 01/2020 
End 12/2024