research-article

Crowdsourcing vs Laboratory-Style Social Acceptability Studies?: Examining the Social Acceptability of Spatial User Interactions for Head-Worn Displays

Authors:

Yumiko Sakamoto,

Khalad HasanAuthors Info & Claims

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

Paper No.: 310, Pages 1 - 7

https://doi.org/10.1145/3173574.3173884

Published: 21 April 2018 Publication History

Abstract

The use of crowdsourcing platforms for data collection in HCI research is attractive in their ability to provide rapid access to large and diverse participant samples. As a result, several researchers have conducted studies investigating the similarities and differences between data collected through crowdsourcing and more traditional, laboratory-style data collection. We add to this body of research by examining the feasibility of conducting social acceptability studies via crowdsourcing. Social acceptability can be a key determinant for the early adoption of emerging technologies, and as such, we focus our investigation on social acceptability for Head-Worn Display (HWD) input modalities. Our results indicate that data collected via a crowdsourced experiment and a laboratory-style setting did not differ at a statistically significant level. These results provide initial support for crowdsourcing platforms as viable options for conducting social acceptability research.

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Cited By

Zhang QLan YGuo KWang D(2024)Lipwatch: Enabling Silent Speech Recognition on Smartwatches using Acoustic SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596148:2(1-29)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659614
Mo WDechant MMarquardt NAyobi ASingh AHolloway C(2024)Exploring the Design Space of Input Modalities for Working in Mixed Reality on Long-haul FlightsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661560(2267-2285)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661560
Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
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Index Terms

Crowdsourcing vs Laboratory-Style Social Acceptability Studies?: Examining the Social Acceptability of Spatial User Interactions for Head-Worn Displays
1. Human-centered computing
  1. Human computer interaction (HCI)

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cover image ACM Conferences

CHI '18: Proceedings of the 2018 CHI Conference on Human Factors in Computing Systems

April 2018

8489 pages

ISBN:9781450356206

DOI:10.1145/3173574

General Chairs:
Regan Mandryk
University of Saskatchewan, Canada
,
Mark Hancock
University of Waterloo, Canada
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Program Chairs:
Mark Perry
Brunel University London, UK
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Anna Cox
University College London, UK

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Published: 21 April 2018

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CHI '18 Paper Acceptance Rate 666 of 2,590 submissions, 26%;

Overall Acceptance Rate 6,199 of 26,314 submissions, 24%

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Cited By

Zhang QLan YGuo KWang D(2024)Lipwatch: Enabling Silent Speech Recognition on Smartwatches using Acoustic SensingProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36596148:2(1-29)Online publication date: 15-May-2024
https://dl.acm.org/doi/10.1145/3659614
Mo WDechant MMarquardt NAyobi ASingh AHolloway C(2024)Exploring the Design Space of Input Modalities for Working in Mixed Reality on Long-haul FlightsProceedings of the 2024 ACM Designing Interactive Systems Conference10.1145/3643834.3661560(2267-2285)Online publication date: 1-Jul-2024
https://dl.acm.org/doi/10.1145/3643834.3661560
Oppenlaender JAbbas TGadiraju U(2024)The State of Pilot Study Reporting in Crowdsourcing: A Reflection on Best Practices and GuidelinesProceedings of the ACM on Human-Computer Interaction10.1145/36410238:CSCW1(1-45)Online publication date: 26-Apr-2024
https://dl.acm.org/doi/10.1145/3641023
Medeiros DDubus RWilliamson JWilson GPöhlmann KMcGill M(2023)Surveying the Social Comfort of Body, Device, and Environment-Based Augmented Reality Interactions in Confined Passenger Spaces Using Mixed Reality Composite VideosProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/36109237:3(1-25)Online publication date: 27-Sep-2023
https://dl.acm.org/doi/10.1145/3610923
Jung IAhn SSeo JHong J(2023)Exploring the Potentials of Crowdsourcing for Gesture Data CollectionInternational Journal of Human–Computer Interaction10.1080/10447318.2023.218023540:12(3112-3121)Online publication date: 23-Feb-2023
https://doi.org/10.1080/10447318.2023.2180235
Rixen JColley MAskari AGugenheimer JRukzio E(2022)Consent in the Age of AR: Investigating The Comfort With Displaying Personal Information in Augmented RealityProceedings of the 2022 CHI Conference on Human Factors in Computing Systems10.1145/3491102.3502140(1-14)Online publication date: 29-Apr-2022
https://dl.acm.org/doi/10.1145/3491102.3502140
Hossain TIslam MDelamare WChowdhury FHasan K(2021)Exploring Social Acceptability and Users’ Preferences of Head- and Eye-Based Interaction with Mobile DevicesProceedings of the 20th International Conference on Mobile and Ubiquitous Multimedia10.1145/3490632.3490636(12-23)Online publication date: 5-Dec-2021
https://dl.acm.org/doi/10.1145/3490632.3490636
Logas JLin GBelan KGogate AStarner T(2021)Conversational Partner’s Perception of Subtle Display Use for Monitoring NotificationsProceedings of the Augmented Humans International Conference 202110.1145/3458709.3458942(101-110)Online publication date: 22-Feb-2021
https://dl.acm.org/doi/10.1145/3458709.3458942
Antoine AMalacria SMarquardt NCasiez GKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Interaction Illustration Taxonomy: Classification of Styles and Techniques for Visually Representing Interaction ScenariosProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445586(1-22)Online publication date: 6-May-2021
https://dl.acm.org/doi/10.1145/3411764.3445586
Pandey LHasan KArif AKitamura YQuigley AIsbister KIgarashi TBjørn PDrucker S(2021)Acceptability of Speech and Silent Speech Input Methods in Private and PublicProceedings of the 2021 CHI Conference on Human Factors in Computing Systems10.1145/3411764.3445430(1-13)Online publication date: 6-May-2021
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