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

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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    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
    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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    Published: 21 April 2018

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    Author Tags

    1. crowdsourcing
    2. head-worn displays
    3. input modalities
    4. social acceptance

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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

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    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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
    • (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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