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Toward a Unified Metadata Schema for Ecological Momentary Assessment with Voice-First Virtual Assistants

Published: 27 July 2021 Publication History

Abstract

Ecological momentary assessment (EMA) is used to evaluate subjects’ behaviors and moods in their natural environments, yet collecting real-time and self-report data with EMA is challenging due to user burden. Integrating voice into EMA data collection platforms through today’s intelligent virtual assistants (IVAs) is promising due to hands-free and eye-free nature. However, efficiently managing conversations and EMAs is non-trivial and time consuming due to the ambiguity of the voice input. We approach this problem by rethinking the data modeling of EMA questions and what is needed to deploy them on voice-first user interfaces. We propose a unified metadata schema that models EMA questions and the necessary attributes to effectively and efficiently integrate voice as a new EMA modality. Our schema allows user experience researchers to write simple rules that can be rendered at run-time, instead of having to edit the source code. We showcase an example EMA survey implemented with our schema, which can run on multiple voice-only and voice-first devices. We believe that our work will accelerate the iterative prototyping and design process of real-world voice-based EMA data collection platforms.

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Cited By

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  • (2023)Ascertaining Whether an Intelligent Voice Assistant Can Meet Older Adults’ Health-Related Needs in the Context of a Geriatrics 5Ms FrameworkGerontology and Geriatric Medicine10.1177/233372142312011389Online publication date: 30-Sep-2023
  • (2023)Screen or No Screen? Lessons Learnt from a Real-World Deployment Study of Using Voice Assistants With and Without Touchscreen for Older AdultsProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608378(1-21)Online publication date: 22-Oct-2023
  • (2023)How do Older Adults Set Up Voice Assistants? Lessons Learned from a Deployment Experience for Older Adults to Set Up Standalone Voice AssistantsCompanion Publication of the 2023 ACM Designing Interactive Systems Conference10.1145/3563703.3596640(164-168)Online publication date: 10-Jul-2023
  • Show More Cited By

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cover image ACM Other conferences
CUI '21: Proceedings of the 3rd Conference on Conversational User Interfaces
July 2021
262 pages
ISBN:9781450389983
DOI:10.1145/3469595
This work is licensed under a Creative Commons Attribution-NonCommercial International 4.0 License.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 27 July 2021

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Author Tags

  1. Data Modelling
  2. Ecological Momentary Assessment
  3. Healthcare
  4. Voice Assistant
  5. Voice First Interface

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Cited By

View all
  • (2023)Ascertaining Whether an Intelligent Voice Assistant Can Meet Older Adults’ Health-Related Needs in the Context of a Geriatrics 5Ms FrameworkGerontology and Geriatric Medicine10.1177/233372142312011389Online publication date: 30-Sep-2023
  • (2023)Screen or No Screen? Lessons Learnt from a Real-World Deployment Study of Using Voice Assistants With and Without Touchscreen for Older AdultsProceedings of the 25th International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3597638.3608378(1-21)Online publication date: 22-Oct-2023
  • (2023)How do Older Adults Set Up Voice Assistants? Lessons Learned from a Deployment Experience for Older Adults to Set Up Standalone Voice AssistantsCompanion Publication of the 2023 ACM Designing Interactive Systems Conference10.1145/3563703.3596640(164-168)Online publication date: 10-Jul-2023
  • (2021)Understanding Barriers and Design Opportunities to Improve Healthcare and QOL for Older Adults through Voice AssistantsProceedings of the 23rd International ACM SIGACCESS Conference on Computers and Accessibility10.1145/3441852.3471218(1-16)Online publication date: 17-Oct-2021

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