research-article

Personalized Spatial Support for People with Autism Spectrum Disorder

Authors:

Claudio MattutinoAuthors Info & Claims

UMAP '18: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization

Pages 233 - 238

https://doi.org/10.1145/3213586.3225229

Published: 02 July 2018 Publication History

Abstract

This paper presents a novel personalized service to support people with Autism Spectrum Disorder (ASD) in their daily movements within urban environments. It aims at helping them in managing anxiety and stress originated by routine breakdowns and unfamiliar situations, improving their autonomy. In particular, we provide an interactive map that is i) personalized, i.e., able to recommend "Safe" Point-of-Interests (SPOIs) according to users' preferences for and aversions to places' sensory features; ii) crowdsourced, i.e., populated with comments and reviews by people with ASD and their caregivers; iii) assistive, i.e., able to support everyday movements (home-work, home-relatives, etc.) by presenting "safe" paths to reach desired places. In this paper we will focus on the first aspect of the map, i.e. SPOIs recommendations. The presented approach is part of a wider project, PIUMA, Personalized Interactive Urban Maps for Autism, which has the aim to develop novel digital solutions for helping people with cognitive problems in their everyday movements.

References

[1]

LouAnne E. Boyd, Alejandro Rangel, Helen Tomimbang, Andrea Conejo-Toledo, Kanika Patel, Monica Tentori, and Gillian R. Hayes. 2016. SayWAT: Augmenting Face-to-Face Conversations for Adults with Autism. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 4872--4883.

Digital Library

[2]

Benoît Bossavit and Sarah Parsons. 2016. "This is how I want to learn": High Functioning Autistic Teens Co-Designing a Serious Game. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1294--1299.

Digital Library

[3]

Sofiane Boucenna, Antonio Narzisi, Elodie Tilmont, Filippo Muratori, Giovanni Pioggia, David Cohen, Mohamed Chetouani. 2014 Interactive Technologies for Autistic Children: A Review. Cognitive Computation, 6, 722--740.

[4]

R. D. Burke. 2002. Hybrid recommender systems: Survey and experiments. In: User Modeling and User-Adapted Interaction, Springer.

Digital Library

[5]

Carlos Cardonha, Diego Gallo, Priscilla Avegliano, Ricardo Herrmann, Fernando Koch, and Sergio Borger. 2013. A crowdsourcing platform for the construction of accessibility maps. In Proceedings of the 10th International Cross-Disciplinary Conference on Web Accessibility (W4A '13). ACM, New York, NY, USA, Article 26, 4 pages.

Digital Library

[6]

Sara Comai, S., Kayange, D., Mangiarotti, R., Matteucci, M., Ugur Yavuz, S. &Valentini, F., Mapping city accessibility: review and analysis. Studies Health Technology and Informatics, 217, pp. 325--331, 2015

[7]

Geraldine Dawson, and Karen Burner. 2011. Behavioral interventions in children and adolescents with autism spectrum disorder: a review of recent findings. Current opinion in pediatrics, 23(6), 616--620.

[8]

Christopher Frauenberger, Julia Makhaeva, and Katharina Spiel. 2016. Designing Smart Objects with Autistic Children: Four Design Exposès. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 130--139.

Digital Library

[9]

Ander Garcia, Olatz Arbelaitz, Maria Teresa Linaza, Pieter Vansteenwegen, and Wouter Sou.riau. 2010. Personalized Tourist Route Generation. In Proceedings of the 10th International Conference on Current Trends inWeb Engineering (ICWE'10). Springer-Verlag, Berlin,

Digital Library

[10]

Damianos Gavalas, Michael Kenteris, Charalampos Konstantopoulos, and Grammati Pantziou. 2012. Web application for recommending personalised mobile tourist routes. Software, IET 6, 4 (2012), 313--322.

[11]

Ofer Golan, Emma Ashwin,Yael Granader, Suzy McClintock, Kate Day, Victoria Leggett,Simon Baron-Cohen .2010. Enhancing emotion recognition in children with autism spectrum conditions: an intervention using animated vehicles with real emotional faces. Journal of autism and developmental disorders 40, 3 (2010), 269--279.

[12]

Francesca Happé, Uta Frith. 2006. The weak coherence account: detail-focused cognitive style in autism spectrum disorders. J. of Autism and Developmental Disorders, 36(1): 5--25.

[13]

R. Peter Hobson. 1995. Autism and the development of mind. Psychology Press. 10

[14]

Hong, Hwajung, et al. 2012. Designing a social network to support the independence of young adults with autism. ACM CSWC12

Digital Library

[15]

M. V. Judy, U. Krishnakumar and Hari Narayanan. 2012. Constructing a personalized e-learning system for students with autism based on soft semantic web technologies. 2012 IEEE International Conference on Technology Enhanced Education (ICTEE), Kerala, 2012, pp. 1--5.

[16]

Rajiv Khosla, Khanh Nguyen and Mei-Tai Chu. 2015. Service personalisation of assistive robot for autism care. IECON 2015 - 41st Annual Conference of the IEEE Industrial Electronics Society, Yokohama, 2015, pp. 002088-002093.

[17]

Leigh J. P., Du J. 2015. Brief Report: Forecasting the Economic Burden of Autism in 2015 and 2025 in the United States. J Autism Dev Disord. 2015 Dec; 45(12), 4135--4139

[18]

Kwan Hui Lim, Jeffrey Chan, Christopher Leckie, and Shanika Karunasekera. 2015. Personalized tour recommendation based on user interests and points of interest visit durations. In Proceedings of the 24th International Conference on Artificial Intelligence (IJCAI'15), Qiang Yang and Michael Wooldridge (Eds.). AAAI Press 1778--1784.

Digital Library

[19]

Joseph Mintz and Morten Aagaard . 2012. The application of persuasive technology to educational settings. Educational Technology Research and Development 60(3) 483--499

[20]

Alejandro Montes García, Natalia Stash, Marc Fabri, Paul De Bra, George H. L. Fletcher, Mykola Pechenizkiy. 2016. Adaptive web-based educational application for autistic students. Published in: Extended Proceedings of Hypertext 2016, Halifax, Canada. http://ceur-ws.org/Vol-1628/Demo1.pdf

[21]

Michael J. Pazzani - Daniel Billsus. 2007 Content-Based Recommendation Systems, Springer.

[22]

Catia Prandi, Paola Salomoni, Silvia Mirri. 2014. mPASS: integrating people sensing and crowdsourcing to map urban accessibility. 2014 IEEE 11th Consumer Communications and Networking Conference (CCNC), Las Vegas, NV, 2014, pp. 591--595.

[23]

Sathiyaprakash Ramdoss, Wendy Machalicek, Mandy Rispoli, Austin Mulloy, Russell Lang, and Mark O'Reilly. 2012. Computer-based interventions to improve social and emotional skills in individuals with autism spectrum disorders: A systematic review. Developmental Neurorehabilitation 15, 2 (2012), 119--135.

[24]

Amon Rapp, Federica Cena, Guido Boella, Alessio Antonini, Alessia Calafiore, Stefania Buccoliero, Maurizio Tirassa, Roberto Keller, Romina Castaldo, and Stefania Brighenti. 2017. Interactive Urban Maps for People with Autism Spectrum Disorder. In Proceedings of the 2017 CHI Conference Extended Abstracts on Human Factors in Computing Systems (CHI EA '17). ACM, New York, NY, USA, 1987--1992.

Digital Library

[25]

Kathryn E. Ringland, Christine T. Wolf, Heather Faucett, Lynn Dombrowski, and Gillian R. Hayes. 2016. "Will I always be not social?": Re-Conceptualizing Sociality in the Context of a Minecraft Community for Autism. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1256--1269.

Digital Library

[26]

Ashley E. Robertson and David R. Simmons. 2013. The Relationship between Sensory Sensitivity and Autistic Traits in the General Population Journal of Autism and Developmental Disorder, 43: 775.

[27]

Christian Samsel, Karl-Heinz Krempels, and Gerrit Garbereder. 2016. Personalized, Context-aware Intermodal Travel Information. In Proceedings of the 12th International Conference on Web Information Systems and Technologies, WEBIST 2016, Rome, Italy, April 23--25, 2016, Vol. 2. SCITEPRESS, 148--155.

[28]

J. Ben Schafer, Dan Frankowski, Jon Herlocker and Shilad Sen. 2003. Collaborative Filtering Recommender Systems, Springer.

[29]

Will Simm, Maria Angela Ferrario, Adrian Gradinar, Marcia Tavares Smith, Stephen Forshaw, Ian Smith, and Jon Whittle. 2016. Anxiety and Autism: Towards Personalized Digital Health. In Proceedings of the 2016 CHI Conference on Human Factors in Computing Systems (CHI '16). ACM, New York, NY, USA, 1270--1281.

Digital Library

[30]

Gytis Tumas and Francesco Ricci. 2009. Personalized Mobile City Transport Advisory System. In Information and Communication Technologies in Tourism 2009: Proceedings of the International Conference in Amsterdam, Netherlands, 2009, Wolfram H¨opken, Ulrike Gretzel, and Rob Law (Eds.). Springer Vienna,Vienna, 173--183.

[31]

Catalin Voss, Nick Haber, Peter Washington, Aaron Kline, Beth McCarthy, Jena Daniels, Azar Fazel, Titas De, Carl Feinstein, Terry Winograd, Dennis Wall. 2016. Designing a Holistic At-Home Learning Aid for Autism. CHI'16 Workshop Proceedings.

[32]

Thorsten Völkel and Gerhard Weber. 2008. RouteCheckr: personalized multicriteria routing for mobility impaired pedestrians. In Proceedings of the 10th international ACM SIGACCESS conference on Computers and accessibility (Assets '08). ACM, New York, NY, USA, 185--192.

Digital Library

Cited By

Wohofsky LScharf PLattacher SKrainer D(2022)Assistive technology to support people with autism spectrum disorder in their autonomy and safety: A scoping reviewTechnology and Disability10.3233/TAD-21035534:1(1-11)Online publication date: 7-Mar-2022
https://doi.org/10.3233/TAD-210355
Cena FConsole LVernero F(2022)How to deal with negative preferences in recommender systems: a theoretical frameworkJournal of Intelligent Information Systems10.1007/s10844-022-00705-960:1(23-47)Online publication date: 26-Apr-2022
https://doi.org/10.1007/s10844-022-00705-9
Kim BLee DMin APaik SFrey GBellini SHan KShih P(2020)PuzzleWalk: A theory-driven iterative design inquiry of a mobile game for promoting physical activity in adults with autism spectrum disorderPLOS ONE10.1371/journal.pone.023796615:9(e0237966)Online publication date: 10-Sep-2020
https://doi.org/10.1371/journal.pone.0237966
Show More Cited By

Index Terms

Personalized Spatial Support for People with Autism Spectrum Disorder
1. Human-centered computing
  1. Ubiquitous and mobile computing
    1. Ubiquitous and mobile computing systems and tools

Recommendations

Personalized Recommendation of PoIs to People with Autism
UMAP '20: Proceedings of the 28th ACM Conference on User Modeling, Adaptation and Personalization

The suggestion of Points of Interest to people with Autism Spectrum Disorder (ASD) challenges recommender systems research because these users' perception of places is influenced by idiosyncratic sensory aversions which can mine their experience by ...
Personalized interactive urban maps for autism: enhancing accessibility to urban environments for people with autism spectrum disorder
UbiComp '17: Proceedings of the 2017 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2017 ACM International Symposium on Wearable Computers

This paper presents an ongoing project, PIUMA, Personalized Interactive Urban Maps for Autism, with the aim to help people with Autism Spectrum Disorder (ASD) move and live within cities.
Holistic User Models for Cognitive Disabilities: Personalized Tools for Supporting People with Autism in the City
UMAP '18: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization

This paper presents a personalized interactive map aimed at supporting people with Autism Spectrum Disorder (ASD) in their daily transfers within urban environments. To this end, it aims to model a "complete" representation of the ASD individual by ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

UMAP '18: Adjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization

July 2018

349 pages

ISBN:9781450357845

DOI:10.1145/3213586

General Chairs:
Tanja Mitrovic
University of Canterbury, New Zealand
,
Jie Zhang
Nanyang Technological University, Singapore
,
Program Chairs:
Li Chen
Hong Kong Baptist University, China
,
David Chin
University of Hawaii, USA

Copyright © 2018 ACM.

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

Sponsors

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 02 July 2018

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

UMAP '18

Sponsor:

UMAP '18: 26th Conference on User Modeling, Adaptation and Personalization

July 8 - 11, 2018

Singapore, Singapore

Acceptance Rates

UMAP '18 Paper Acceptance Rate 26 of 93 submissions, 28%;

Overall Acceptance Rate 162 of 633 submissions, 26%

Upcoming Conference

UMAP '25

Sponsor:
sigchi
sigchi

33rd ACM Conference on User Modeling, Adaptation and Personalization

June 16 - 19, 2025

New York City , NY , USA

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

6
Total Citations
View Citations
213
Total Downloads

Downloads (Last 12 months)26
Downloads (Last 6 weeks)3

Reflects downloads up to 07 Nov 2024

Other Metrics

View Author Metrics

Citations

Cited By

Wohofsky LScharf PLattacher SKrainer D(2022)Assistive technology to support people with autism spectrum disorder in their autonomy and safety: A scoping reviewTechnology and Disability10.3233/TAD-21035534:1(1-11)Online publication date: 7-Mar-2022
https://doi.org/10.3233/TAD-210355
Cena FConsole LVernero F(2022)How to deal with negative preferences in recommender systems: a theoretical frameworkJournal of Intelligent Information Systems10.1007/s10844-022-00705-960:1(23-47)Online publication date: 26-Apr-2022
https://doi.org/10.1007/s10844-022-00705-9
Kim BLee DMin APaik SFrey GBellini SHan KShih P(2020)PuzzleWalk: A theory-driven iterative design inquiry of a mobile game for promoting physical activity in adults with autism spectrum disorderPLOS ONE10.1371/journal.pone.023796615:9(e0237966)Online publication date: 10-Sep-2020
https://doi.org/10.1371/journal.pone.0237966
Rapp ACena FSchifanella CBoella G(2020)Finding a Secure Place: A Map-Based Crowdsourcing System for People With AutismIEEE Transactions on Human-Machine Systems10.1109/THMS.2020.298474350:5(424-433)Online publication date: Oct-2020
https://doi.org/10.1109/THMS.2020.2984743
Motti VStaggers JRichards DAmidon TPflugfelder E(2019)Designing emerging technologies for and with neurodiverse usersProceedings of the 37th ACM International Conference on the Design of Communication10.1145/3328020.3353946(1-10)Online publication date: 4-Oct-2019
https://dl.acm.org/doi/10.1145/3328020.3353946
Rapp ACena FMattutino CCalafiore ASchifanella CGrassi EBoella GMitrovic TZhang JChen LChin D(2018)Holistic User Models for Cognitive DisabilitiesAdjunct Publication of the 26th Conference on User Modeling, Adaptation and Personalization10.1145/3213586.3226220(109-113)Online publication date: 2-Jul-2018
https://dl.acm.org/doi/10.1145/3213586.3226220

View Options

Get Access

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Media

Figures

Other

Tables

View Table of Contents