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

Authors:

Gregory D. Abowd,

Rosa I. ArriagaAuthors Info & Claims

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

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.

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Cited By

Morgado Ramirez DBarbareschi GHolloway C(2024)Adult Autism Research Priorities and Conceptualization in Computing Research: Invitation to Co-lead with Autistic AdultsACM Transactions on Computer-Human Interaction10.1145/363514831:4(1-47)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3635148
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 2024 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
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

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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]

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SIGCHI: ACM Special Interest Group on Computer-Human Interaction

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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CHI '15

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

April 18 - 23, 2015

Seoul, Republic of Korea

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

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

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CHI 2025

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ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

Morgado Ramirez DBarbareschi GHolloway C(2024)Adult Autism Research Priorities and Conceptualization in Computing Research: Invitation to Co-lead with Autistic AdultsACM Transactions on Computer-Human Interaction10.1145/363514831:4(1-47)Online publication date: 19-Sep-2024
https://dl.acm.org/doi/10.1145/3635148
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 2024 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
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