research-article

In-group Questions and Out-group Answers: Crowdsourcing Daily Living Advice for Individuals with Autism

Authors:

Gregory D. Abowd, and

Rosa I. ArriagaAuthors Info & Claims

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

Pages 777 - 786

https://doi.org/10.1145/2702123.2702402

Published: 18 April 2015 Publication History

Abstract

Difficulty in navigating daily life can lead to frustration and decrease independence for people with autism. While they turn to online autism communities for information and advice for coping with everyday challenges, these communities may present only a limited perspective because of their in-group nature. Obtaining support from out-group sources beyond the in-group community may prove valuable in dealing with challenging situations such as public anxiety and workplace conflicts. In this paper, we explore the value of supplementary out-group support from crowdsourced responders added to in-group support from a community of members. We find that out-group sources provide relatively rapid, concise responses with direct and structured information, socially appropriate coping strategies without compromising emotional value. Using an autism community as a motivating example, we conclude by providing design implications for combining in-group and out-group resources that may enhance the question-and-answer experience.

References

[1]

Bartko, J.J. The intraclass correlation coefficient as a measure of reliability. Psychological reports 19, 1 (1966), 3--11.

[2]

Benford, P. The use of Internet-based communication by people with autism. Ph.D Dissertation. University of Nottingham, 2008.

[3]

Bigham, J., Jayant, C., Ji, H., and Little, G. VizWiz: nearly real-time answers to visual questions. UIST 2010.

Digital Library

[4]

Boujarwah, F.A., Abowd, G.D., and Arriaga, R.I. Socially Computed Scripts to Support Social Problem Solving Skills. CHI 2012.

Digital Library

[5]

Burke, M., Kraut, R., and Williams, D. Social use of computer-mediated communication by adults on the autism spectrum. CSCW 2010.

Digital Library

[6]

Burton, M., Brady, E., Brewer, R., and Neylan, C. Crowdsourcing Subjective Fashion Advice Using VizWiz: Challenges and Opportunities. ASSETS 2012.

Digital Library

[7]

Harper, M.F., Raban, D., Rafaeli, S., and Konstan, J.A. Predictors of answer quality in online Q&A sites. CHI 2008.

Digital Library

[8]

Hong, H., Yarosh, S., Kim, J.G., Abowd, G.D., and Arriaga, R.I. Investigating the Use of Circles in Social Networks to Support Independence of Individuals with Autism. CHI 2013.

Digital Library

[9]

Huh, J. and Ackerman, M.S. Collaborative help in chronic disease management: supporting individualized problems. CSCW 2012.

Digital Library

[10]

Jeong, J., Morris, M.R., Teevan, J., and Liebling, D. A CrowdPowered Socially Embedded Search Engine. ICWSM 2013.

[11]

Krippendorff, K. Reliability in Content Analysis: Some Common Misconceptions and Recommendations. Human Communication Research 30, 3 (2004), 411--433.

[12]

Langford, C.P., Bowsher, J., Maloney, J.P., and Lillis, P.P. Social support: a conceptual analysis. Journal of advanced nursing 25, 1 (1997), 95--100.

[13]

Massimi, M. and Bender, J. Life transitions and online health communities: reflecting on adoption, use, and disengagement. CSCW 2014.

Digital Library

[14]

Morris, M., Inkpen, K., and Venolia, G. Remote Shopping Advice: Enhancing In-Store Shopping with Social Technologies. CSCW 2014.

Digital Library

[15]

Morris, M., Teevan, J., and Panovich, K. What Do People Ask Their Social Networks, and Why? A Survey Study of Status Message Q&A Behavior. CHI 2010.

Digital Library

[16]

Myles, B. and Simpson, R. Understanding the Hidden Curriculum An Essential Social Skill for Children and Youth with Asperger Syndrome. Intervention in School and Clinic, (2001).

[17]

Newton, A.T., Kramer, A.A.D.I., and McIntosh, D. Autism online: a comparison of word usage in bloggers with and without autism spectrum disorders. CHI 2009.

Digital Library

[18]

Ochs, E. and Kremer-Sadlik, T. Autism and the social world: an anthropological perspective. Discourse Studies 6, 2 (2004), 147--183.

[19]

Olney, M. Working with Autism and Other Social Communication Disorders. Journal of Rehabilitation, (2000).

[20]

Palmen, A., Didden, R., and Arts, M. Improving question asking in high-functioning adolescents with autism spectrum disorders Effectiveness of small-group training. Autism 12, 1 (2008), 83--98.

[21]

Schoenebeck, S. The Secret Life of Online Moms: Anonymity and Disinhibition on YouBeMom. com. ICWSM 2013.

[22]

Tajfel, H. Social Psychology of Intergroup Relations. Annual review of psychology, (1982), 1--39.

[23]

Teevan, J., Morris, M., and Panovich, K. Factors Affecting Response Quantity, Quality, and Speed for Questions Asked via Social Network Status Messages. ICWSM 2011.

[24]

Vlahovic, T.A., Wang, Y.-C., Kraut, R.E., and Levine, J.M. Support matching and satisfaction in an online breast cancer support community. CHI 2014.

Digital Library

[25]

Wang, K. and Chua, T. Exploiting salient patterns for question detection and question retrieval in community-based question answering. Computational Lingui, (2010), 1155--1163.

Digital Library

[26]

Wang, Y., Kraut, R., and Levine, J.M. To Stay or Leave? The Relationship of Emotional and Informational Support to Commitment in Online Health Support Groups. CSCW 2012.

Digital Library

[27]

Autism Spectrum Disorders and the Transition to Adulthood. Virginia Department of Education, 2010.

Cited By

Choi DLee SKim SLee KYoo HLee SHong H(2024)Unlock Life with a Chat(GPT): Integrating Conversational AI with Large Language Models into Everyday Lives of Autistic IndividualsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641989(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641989
Alorwu Avan Berkel NVisuri ASuryanarayana SYoshihiro THosio S(2024)Monetary valuation of personal health data in the wildInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103241185(103241)Online publication date: May-2024
https://doi.org/10.1016/j.ijhcs.2024.103241
Guberman J(2023)#ActuallyAutistic Twitter as a Site for Epistemic Resistance and Crip FuturityACM Transactions on Computer-Human Interaction10.1145/356989130:3(1-34)Online publication date: 10-Jun-2023
https://dl.acm.org/doi/10.1145/3569891
Show More Cited By

Index Terms

In-group Questions and Out-group Answers: Crowdsourcing Daily Living Advice for Individuals with Autism
1. Human-centered computing
  1. Collaborative and social computing
    1. Collaborative and social computing theory, concepts and paradigms
      1. Computer supported cooperative work
  2. Human computer interaction (HCI)
    1. Interaction paradigms
      1. Web-based interaction
2. Social and professional topics
  1. Professional topics
    1. Computing and business
      1. Computer supported cooperative work

Recommendations

Emotional Resiliency of Families Dealing with Autism in Social Media
BIOSTEC 2016: Proceedings of the International Joint Conference on Biomedical Engineering Systems and Technologies

Nowadays online social media is used extensively by families dealing with various health issues, such as autism, diabetes, obesity, etc., to share experiences with other members of the community. The interaction between members of health community can ...
Read More
Social Support is Contagious: Exploring the Effect of Social Support in Online Mental Health Communities
CHI EA '21: Extended Abstracts of the 2021 CHI Conference on Human Factors in Computing Systems

It is known that social support is beneficial for mental health. With the development of social media, social support could also influence the development of online mental health communities. However, few studies examined these effects from the ...
Read More
Recommendations for the design, implementation and evaluation of social support in online communities, networks, and groups

Researchers should address the interaction of online and real-world social support.Online social support systems should include individuals' existing social networks.Evaluation methods should be specific to online environments.Analyses should include ...
Read More

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '15: Proceedings of the 33rd Annual ACM Conference on Human Factors in Computing Systems

April 2015

4290 pages

ISBN:9781450331456

DOI:10.1145/2702123

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Copyright © 2015 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 ACM 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

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

Acceptance Rates

CHI '15 Paper Acceptance Rate 486 of 2,120 submissions, 23%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

Upcoming Conference

CHI PLAY '24

Sponsor:
sigchi

The Annual Symposium on Computer-Human Interaction in Play

October 14 - 17, 2024

Tampere , Finland

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

24
Total Citations
View Citations
593
Total Downloads

Downloads (Last 12 months)50
Downloads (Last 6 weeks)3

Other Metrics

View Author Metrics

Citations

Cited By

Choi DLee SKim SLee KYoo HLee SHong H(2024)Unlock Life with a Chat(GPT): Integrating Conversational AI with Large Language Models into Everyday Lives of Autistic IndividualsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3641989(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3641989
Alorwu Avan Berkel NVisuri ASuryanarayana SYoshihiro THosio S(2024)Monetary valuation of personal health data in the wildInternational Journal of Human-Computer Studies10.1016/j.ijhcs.2024.103241185(103241)Online publication date: May-2024
https://doi.org/10.1016/j.ijhcs.2024.103241
Guberman J(2023)#ActuallyAutistic Twitter as a Site for Epistemic Resistance and Crip FuturityACM Transactions on Computer-Human Interaction10.1145/356989130:3(1-34)Online publication date: 10-Jun-2023
https://dl.acm.org/doi/10.1145/3569891
Bhattacharjee APang JLiu AMariakakis AWilliams J(2023)Design Implications for One-Way Text Messaging Services that Support Psychological WellbeingACM Transactions on Computer-Human Interaction10.1145/356988830:3(1-29)Online publication date: 10-Jun-2023
https://dl.acm.org/doi/10.1145/3569888
Bhattacharjee AWilliams JChou KTomlinson JMeyerhoff JMariakakis AKornfield R(2022)"I Kind of Bounce off It":Translating Mental Health Principles into Real Life Through Story-Based Text MessagesProceedings of the ACM on Human-Computer Interaction10.1145/35551236:CSCW2(1-31)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555123
Paulino DCorreia AGuimaraes DBarroso JParedes H(2022)Uncovering the Potential of Cognitive Personalization for UI Adaptation in Crowd Work2022 IEEE 25th International Conference on Computer Supported Cooperative Work in Design (CSCWD)10.1109/CSCWD54268.2022.9776164(484-489)Online publication date: 4-May-2022
https://doi.org/10.1109/CSCWD54268.2022.9776164
Das MTang JRingland KPiper A(2021)Towards Accessible Remote WorkProceedings of the ACM on Human-Computer Interaction10.1145/34492825:CSCW1(1-30)Online publication date: 22-Apr-2021
https://dl.acm.org/doi/10.1145/3449282
Feldman MMcInnis B(2021)How We Write with CrowdsProceedings of the ACM on Human-Computer Interaction10.1145/34329284:CSCW3(1-31)Online publication date: 5-Jan-2021
https://dl.acm.org/doi/10.1145/3432928
Lee HKim AHong HLee UKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Sticky Goals: Understanding Goal Commitments for Behavioral Changes in the WildProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445295(1-16)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445295
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
Show More Cited By

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