research-article

Tangible Self-Report Devices: Accuracy and Resolution of Participant Input

Authors:

Niels van Berkel,

Timothy Merritt,

Mikael B. SkovAuthors Info & Claims

TEI '22: Proceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

Article No.: 3, Pages 1 - 14

https://doi.org/10.1145/3490149.3501309

Published: 13 February 2022 Publication History

Abstract

Tangible input has been explored as a means for participants to self-report experiences while minimising disruption and allowing for discrete data collection. However, the accuracy of these tangible devices has not been studied systematically. We compared six input techniques, including slider, slider with resistance, capacitive touch slider, squeeze, rotary knob, and joystick, to understand their accuracy and resolution profile. Each of these wireless devices was designed in a similar form factor and intended to be operated discretely with one hand. We assessed input accuracy and participant perceptions across devices through a controlled lab study (N = 20), highlighting diverging limits to the accuracy of the input technique and possible explanations for the differences in resolution. Our results indicate that participant accuracy was highest using a slider, and lowest using a squeeze-based input. We discuss the suitability and challenges of discreet tangible self-report techniques, and highlight open research questions for future work.

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Index Terms

Tangible Self-Report Devices: Accuracy and Resolution of Participant Input
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. Interaction devices

Index terms have been assigned to the content through auto-classification.

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cover image ACM Conferences

TEI '22: Proceedings of the Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

February 2022

758 pages

ISBN:9781450391474

DOI:10.1145/3490149

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Published: 13 February 2022

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Research-article
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Refereed limited

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TEI '22

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SIGCHI

TEI '22: Sixteenth International Conference on Tangible, Embedded, and Embodied Interaction

February 13 - 16, 2022

Daejeon, Republic of Korea

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Overall Acceptance Rate 393 of 1,367 submissions, 29%

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TEI '25

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Nineteenth International Conference on Tangible, Embedded, and Embodied Interaction

March 4 - 7, 2025

Bordeaux / Talence , France

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Cited By

Cloos LMestdagh MVanpaemel WCeulemans EKuppens P(2024)Measuring Continuous Affect in Daily Life With Intensity Profile DrawingsAssessment10.1177/10731911241266286Online publication date: 13-Aug-2024
https://doi.org/10.1177/10731911241266286
Merritt TPapachristos EBarsted VSabir HHoldensgaard P(2024)The Final 100 Meters: Touch and Joystick Controls for Guiding Autonomous VehiclesProceedings of the Second International Symposium on Trustworthy Autonomous Systems10.1145/3686038.3686046(1-6)Online publication date: 16-Sep-2024
https://dl.acm.org/doi/10.1145/3686038.3686046
Løkeland LGuribye FStensvold AGrindheim I(2024)Tangible Interactions for Pain Assessment in Palliative CareProceedings of the 13th Nordic Conference on Human-Computer Interaction10.1145/3679318.3685336(1-15)Online publication date: 13-Oct-2024
https://dl.acm.org/doi/10.1145/3679318.3685336
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
Rodríguez ICajamarca GHerskovic V(2022)When does self-report of pain occur?: A study of older adultsPeerJ10.7717/peerj.1371610(e13716)Online publication date: 19-Jul-2022
https://doi.org/10.7717/peerj.13716
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

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