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Heed: Exploring the Design of Situated Self-Reporting Devices

Authors:

Gaurav Paruthi,

Chuan-che Huang,

Mark W. NewmanAuthors Info & Claims

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies, Volume 2, Issue 3

Article No.: 132, Pages 1 - 21

https://doi.org/10.1145/3264942

Published: 18 September 2018 Publication History

Abstract

In-situ self-reporting is a widely used data collection technique for understanding people's behavior in context. Characteristics of smartphones such as their high proliferation, close proximity to their users, and heavy use have made them a popular choice for applications that require frequent self-reporting. Newer device categories such as wearables and voice assistants offer their own advantages, providing an opportunity to explore a wider range of self-reporting approaches. In this paper, we focus on exploring the design space of Situated Self-Reporting (SSR) devices. We present the Heed system, consisting of simple, low-cost, and low-power SSR devices that are distributed in the environment of the user and can be appropriated for reporting measures such as stress, sleepiness, and activities. In two real-world studies with 10 and 7 users, we compared and analyzed the use of smartphone and Heed devices to uncover differences in their use due to the influence of factors such as situational and social context, notification types, and physical design. Our findings show that Heed devices complemented smartphones in the coverage of activities, locations and interaction preferences. While the advantage of Heed was its single-purpose and dedicated location, smartphones provided mobility and flexibility of use.

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Cited By

Volsa SLewetz DMlakic VBertagnoli CHochstöger SRechl MSertic HBatinic BStieger S(2024)Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designsBehavior Research Methods10.3758/s13428-023-02322-y56:6(5876-5899)Online publication date: 17-Jan-2024
https://doi.org/10.3758/s13428-023-02322-y
Yan XBaroudi LBei RBoudalia LCain SBarton KShorter KNewman M(2024)Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue ManagementProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661615(571-583)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661615
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
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Index Terms

Heed: Exploring the Design of Situated Self-Reporting Devices
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

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Published In

cover image Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies Volume 2, Issue 3

September 2018

1536 pages

EISSN:2474-9567

DOI:10.1145/3279953

Issue’s Table of Contents

Copyright © 2018 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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Association for Computing Machinery

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Publication History

Published: 18 September 2018

Accepted: 01 September 2018

Revised: 01 May 2018

Received: 01 November 2017

Published in IMWUT Volume 2, Issue 3

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Cited By

Volsa SLewetz DMlakic VBertagnoli CHochstöger SRechl MSertic HBatinic BStieger S(2024)Development of an open-source solution to facilitate the use of one-button wearables in experience sampling designsBehavior Research Methods10.3758/s13428-023-02322-y56:6(5876-5899)Online publication date: 17-Jan-2024
https://doi.org/10.3758/s13428-023-02322-y
Yan XBaroudi LBei RBoudalia LCain SBarton KShorter KNewman M(2024)Proposing a Context-informed Layer-based Framework: Incorporating Context into Designing mHealth Technology for Fatigue ManagementProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661615(571-583)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661615
Oewel BArean PAgapie E(2024)Approaches for tailoring between-session mental health therapy activitiesProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642856(1-19)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642856
Cha YGunal YWou ALee JNewman MPark S(2024)Shared Responsibility in Collaborative Tracking for Children with Type 1 Diabetes and their ParentsProceedings of the CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642344(1-20)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642344
Kabir KWiese J(2023)A Meta-Synthesis of the Barriers and Facilitators for Personal Informatics SystemsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36108937:3(1-35)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610893
Jang SLee KGoh GKim DYun GKim NKim Lux BWoo CKim HPark Y(2023)Design and field trial of EmotionFrame: exploring self-journaling experiences in homes for archiving personal feelings about daily eventsHuman–Computer Interaction10.1080/07370024.2023.221925939:5-6(503-528)Online publication date: 6-Jun-2023
https://doi.org/10.1080/07370024.2023.2219259
Volsa SBatinic BStieger S(2022)Self-Reports in the Field Using Smartwatches: An Open-Source Firmware SolutionSensors10.3390/s2205198022:5(1980)Online publication date: 3-Mar-2022
https://doi.org/10.3390/s22051980
Ponnada AWang SChu DDo BDunton GIntille S(2022)Intensive Longitudinal Data Collection Using Microinteraction Ecological Momentary Assessment: Pilot and Preliminary ResultsJMIR Formative Research10.2196/327726:2(e32772)Online publication date: 9-Feb-2022
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Kabir KKenfield SVan Blarigan EChan JWiese J(2022)Ask the UsersProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35346126:2(1-21)Online publication date: 7-Jul-2022
https://dl.acm.org/doi/10.1145/3534612
Gonzalez JHudson S(2022)Layer by Layer, Patterned Valves Enable Programmable Soft SurfacesProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/35172516:1(1-25)Online publication date: 29-Mar-2022
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