Bridging the Technical Gap: A Unified Representation Framework for Voice-based Community Engagement Platforms

HCI practitioners in development contexts utilize collaborative digital technologies for community engagement in international development, often mediated through platforms like social media, tele-conferencing, and Interactive Voice Response (IVR). However, the lack of standardized representation approaches for these platforms impedes effective communication among stakeholders. We propose a unified graphical framework for characterizing and representing collaborative platforms, focusing on audio/voice-based engagements. Our framework segments community engagement sessions into engagement formats, characterizing them with preconditions, configurations, and outputs, and visualizes them using state machine-based representations. A field study demonstrates the framework's effectiveness in supporting stakeholder communication for real-life scenarios. We contribute to CSCW literature by providing a standardized approach that offers a common framework/language for discussing, developing, or reconfiguring collaborative platforms. Our findings show that this framework enables non-governmental organizations and researchers to navigate under-explored design spaces, enhancing the utilization of voice-based platforms for engaging distributed marginalized communities.

Authors

Institutions

Publication Details

Journal
Proceedings of the ACM on Human-Computer Interaction
Published
2025-10-16
DOI
https://doi.org/10.1145/3757458
Primary Topic
ICT in Developing Communities
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Bridging the Technical Gap: A Unified Representation Framework for Voice-based Community Engagement Platforms

Patrick L. Olivier, Md. Yousuf, Muhamad Risqi U. Saputra, Manika Saha et al.
Proceedings of the ACM on Human-Computer Interaction
ICT in Developing Communities
article

Bridging the Technical Gap: A Unified Representation Framework for Voice-based Community Engagement Platforms

Patrick L. Olivier, Md. Yousuf, Muhamad Risqi U. Saputra, Manika Saha, Tom Bartindale, Delvin Varghese, Rheinanda Kaniaswari, Md. Adnanul Islam, Dan Richardson, Md. Saddam Hossain Mukta
article en

Abstract

HCI practitioners in development contexts utilize collaborative digital technologies for community engagement in international development, often mediated through platforms like social media, tele-conferencing, and Interactive Voice Response (IVR). However, the lack of standardized representation approaches for these platforms impedes effective communication among stakeholders. We propose a unified graphical framework for characterizing and representing collaborative platforms, focusing on audio/voice-based engagements. Our framework segments community engagement sessions into engagement formats, characterizing them with preconditions, configurations, and outputs, and visualizes them using state machine-based representations. A field study demonstrates the framework's effectiveness in supporting stakeholder communication for real-life scenarios. We contribute to CSCW literature by providing a standardized approach that offers a common framework/language for discussing, developing, or reconfiguring collaborative platforms. Our findings show that this framework enables non-governmental organizations and researchers to navigate under-explored design spaces, enhancing the utilization of voice-based platforms for engaging distributed marginalized communities.

Proceedings of the ACM on Human-Computer InteractionVol. 9(7)
Universitas Kristen Indonesia (ID), Action for ME (GB), Monash University (AU), Lappeenranta-Lahti University of Technology (FI)
Openalex Percentile: Top 57%
ICT in Developing Communities
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.