Literature DB >> 17312261

Affective computing and autism.

Rana el Kaliouby1, Rosalind Picard, Simon Baron-Cohen.   

Abstract

This article highlights the overlapping and converging goals and challenges of autism research and affective computing. We propose that a collaboration between autism research and affective computing could lead to several mutually beneficial outcomes--from developing new tools to assist people with autism in understanding and operating in the socioemotional world around them, to developing new computational models and theories that will enable technology to be modified to provide an overall better socioemotional experience to all people who use it. This article describes work toward this convergence at the MIT Media Lab, and anticipates new research that might arise from the interaction between research into autism, technology, and human socioemotional intelligence.

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Year:  2006        PMID: 17312261     DOI: 10.1196/annals.1382.016

Source DB:  PubMed          Journal:  Ann N Y Acad Sci        ISSN: 0077-8923            Impact factor:   5.691


  10 in total

1.  A Robotic Framework to Facilitate Sensory Experiences for Children with Autism Spectrum Disorder: A Preliminary Study.

Authors:  Hifza Javed; Rachael Burns; Myounghoon Jeon; Ayanna M Howard; Chung Hyuk Park
Journal:  ACM Trans Hum Robot Interact       Date:  2019-12

2.  The importance of behavior theory in control system modeling of physical activity sensor data.

Authors:  William T Riley; Cesar A Martin; Daniel E Rivera
Journal:  Conf Proc IEEE Eng Med Biol Soc       Date:  2014

3.  "You Feel Like You Kind of Walk Between the Two Worlds": A Participatory Study Exploring How Technology Can Support Emotion Regulation for Autistic People.

Authors:  Lauren Gillies-Walker; Naeem Ramzan; Jean Rankin; Emy Nimbley; Karri Gillespie-Smith
Journal:  J Autism Dev Disord       Date:  2022-01-11

4.  The Need for Objective Measures of Stress in Autism.

Authors:  Cédric Hufnagel; Patrick Chambres; Pierre R Bertrand; Frédéric Dutheil
Journal:  Front Psychol       Date:  2017-01-27

5.  Sensing Technologies for Autism Spectrum Disorder Screening and Intervention.

Authors:  John-John Cabibihan; Hifza Javed; Mohammed Aldosari; Thomas W Frazier; Haitham Elbashir
Journal:  Sensors (Basel)       Date:  2016-12-27       Impact factor: 3.576

6.  Atypical Brain Structures as a Function of Gray Matter Volume (GMV) and Gray Matter Density (GMD) in Young Adults Relating to Autism Spectrum Traits.

Authors:  Yu Yaxu; Zhiting Ren; Jamie Ward; Qiu Jiang
Journal:  Front Psychol       Date:  2020-04-08

7.  Lateralization of autonomic output in response to limb-specific threat.

Authors:  James H Kryklywy; Amy Lu; Kevin H Roberts; Matt Rowan; Rebecca M Todd
Journal:  eNeuro       Date:  2022-08-25

Review 8.  What is the Value of Embedding Artificial Emotional Prosody in Human-Computer Interactions? Implications for Theory and Design in Psychological Science.

Authors:  Rachel L C Mitchell; Yi Xu
Journal:  Front Psychol       Date:  2015-11-12

9.  The Performance of Emotion Classifiers for Children With Parent-Reported Autism: Quantitative Feasibility Study.

Authors:  Haik Kalantarian; Khaled Jedoui; Kaitlyn Dunlap; Jessey Schwartz; Peter Washington; Arman Husic; Qandeel Tariq; Michael Ning; Aaron Kline; Dennis Paul Wall
Journal:  JMIR Ment Health       Date:  2020-04-01

10.  Effects of cannabidivarin (CBDV) on brain excitation and inhibition systems in adults with and without Autism Spectrum Disorder (ASD): a single dose trial during magnetic resonance spectroscopy.

Authors:  Charlotte M Pretzsch; Bogdan Voinescu; David Lythgoe; Jamie Horder; Maria Andreina Mendez; Robert Wichers; Laura Ajram; Glynis Ivin; Martin Heasman; Richard A E Edden; Steven Williams; Declan G M Murphy; Eileen Daly; Gráinne M McAlonan
Journal:  Transl Psychiatry       Date:  2019-11-20       Impact factor: 6.222

  10 in total

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