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

Research output: Contribution to book/anthology/report/conference proceedingArticle in proceedingResearchpeer-review

2 Citations (Scopus)

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.
Original languageEnglish
Title of host publicationTEI 2022 - Proceedings of the 16th International Conference on Tangible, Embedded, and Embodied Interaction
PublisherAssociation for Computing Machinery
Publication date13 Feb 2022
Article number3501309
ISBN (Electronic)9781450391474
DOIs
Publication statusPublished - 13 Feb 2022
Event16th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2022 - Virtual, Online, Korea, Republic of
Duration: 13 Feb 202216 Feb 2022

Conference

Conference16th International Conference on Tangible, Embedded, and Embodied Interaction, TEI 2022
Country/TerritoryKorea, Republic of
CityVirtual, Online
Period13/02/202216/02/2022
SponsorACM SIGCHI
SeriesACM International Conference Proceeding Series

Keywords

  • accuracy
  • ecological momentary assessment
  • experience sampling method
  • reliability
  • Self-report
  • tangible user interfaces

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