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HAIR: Towards Developing a Global Self-Updating Peer Support Group Meeting List Using Human-Aided Information Retrieval

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Svetlana YaroshAuthors Info & Claims

CHIIR '19: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval

Pages 83 - 92

https://doi.org/10.1145/3295750.3298933

Published: 08 March 2019 Publication History

Abstract

Alcoholics Anonymous (AA) is the largest grassroots peer support group for any health condition. While AA meeting attendance is particularly important for people who are newly sober, newcomers often have trouble finding meetings because of a lack of global up-to-date meeting list due to preference for regional autonomy in AA's organizational structure. Detection of regional webpages containing meetings and extraction of day, time, and address of meetings from those pages are essential steps in making the information available and up-to-date in a global meeting list. However, varied structure of the webpages and the meetings pose challenges in achieving the goal with traditional information retrieval methods. In this paper we propose HAIR: a semi-automated human-aided information retrieval technique and explore its potential to solve this problem. We describe future directions in developing this critical tool and discuss major implications of our work in pointing to the importance of context-specific rather than context-agnostic semi-automated in-formation retrieval techniques by conceptualizing the proposed methods and results in a broader context.

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Index Terms

HAIR: Towards Developing a Global Self-Updating Peer Support Group Meeting List Using Human-Aided Information Retrieval
1. Human-centered computing
  1. Collaborative and social computing
2. Information systems
  1. Information retrieval
    1. Users and interactive retrieval

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cover image ACM Conferences

CHIIR '19: Proceedings of the 2019 Conference on Human Information Interaction and Retrieval

March 2019

463 pages

ISBN:9781450360258

DOI:10.1145/3295750

General Chairs:
Leif Azzopardi
University of Strathclyde, UK
,
Martin Halvey
University of Strathclyde, UK
,
Ian Ruthven
University of Strathclyde, UK
,
Program Chairs:
Hideo Joho
University of Tsukuba, Japan
,
Vanessa Murdock
Amazon, USA
,
Pernilla Qvarfordt
pxq Labs, USA

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Published: 08 March 2019

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CHIIR '19

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CHIIR '19: Conference on Human Information Interaction and Retrieval

March 10 - 14, 2019

Glasgow, Scotland UK

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Cited By

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https://dl.acm.org/doi/10.1145/3570954
Phelan CHeyer JPfafman RKerrigan CTzilos Wernette GDombrowski LMiller APater J(2022)The Work of Digital Social Re-entry in Substance Use Disorder RecoveryProceedings of the ACM on Human-Computer Interaction10.1145/35556586:CSCW2(1-33)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555658
Jamieson JFoong EYamashita N(2022)Maintaining ValuesProceedings of the ACM on Human-Computer Interaction10.1145/35555506:CSCW2(1-28)Online publication date: 11-Nov-2022
https://dl.acm.org/doi/10.1145/3555550
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Rubya SNumainville JYarosh SKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Comparing Generic and Community-Situated Crowdsourcing for Data Validation in the Context of Recovery from Substance Use DisordersProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445399(1-17)Online publication date: 6-May-2021
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