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Looking glass: a field study on noticing interactivity of a shop window

Published: 05 May 2012 Publication History

Abstract

In this paper we present our findings from a lab and a field study investigating how passers-by notice the interactivity of public displays. We designed an interactive installation that uses visual feedback to the incidental movements of passers-by to communicate its interactivity. In the field study, three displays were installed during three weeks in shop windows, and data about 502 interaction sessions were collected. Our observations show: (1) Significantly more passers-by interact when immediately showing the mirrored user image (+90%) or silhouette (+47%) compared to a traditional attract sequence with call-to-action. (2) Passers-by often notice interactivity late and have to walk back to interact (the landing effect). (3) If somebody is already interacting, others begin interaction behind the ones already interacting, forming multiple rows (the honeypot effect).

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Cited By

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  • (2024)Designing Gestures for Data Exploration with Public Displays via Identification StudiesInformation10.3390/info1506029215:6(292)Online publication date: 21-May-2024
  • (2024)Clarifying and differentiating discoverabilityHuman–Computer Interaction10.1080/07370024.2024.2364606(1-26)Online publication date: 13-Jun-2024
  • (2021)Public Data Visualization: Analyzing Local Running Statistics on Situated DisplaysComputer Graphics Forum10.1111/cgf.1429740:3(159-171)Online publication date: 29-Jun-2021
  • Show More Cited By

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    cover image ACM Conferences
    CHI EA '12: CHI '12 Extended Abstracts on Human Factors in Computing Systems
    May 2012
    2864 pages
    ISBN:9781450310161
    DOI:10.1145/2212776

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    Association for Computing Machinery

    New York, NY, United States

    Publication History

    Published: 05 May 2012

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    Author Tags

    1. interactivity
    2. noticing interactivity
    3. public displays
    4. user representation

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    CHI '12
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    Overall Acceptance Rate 6,164 of 23,696 submissions, 26%

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    Cited By

    View all
    • (2024)Designing Gestures for Data Exploration with Public Displays via Identification StudiesInformation10.3390/info1506029215:6(292)Online publication date: 21-May-2024
    • (2024)Clarifying and differentiating discoverabilityHuman–Computer Interaction10.1080/07370024.2024.2364606(1-26)Online publication date: 13-Jun-2024
    • (2021)Public Data Visualization: Analyzing Local Running Statistics on Situated DisplaysComputer Graphics Forum10.1111/cgf.1429740:3(159-171)Online publication date: 29-Jun-2021
    • (2018)The Value of Empty Space for DesignProceedings of the 2018 CHI Conference on Human Factors in Computing Systems10.1145/3173574.3173623(1-13)Online publication date: 21-Apr-2018
    • (2018)Power to the People: Hacking the City with Plug-In Interfaces for Community EngagementThe Hackable City10.1007/978-981-13-2694-3_2(25-50)Online publication date: 6-Dec-2018
    • (2017)Cross-device interaction with large displays in publicProceedings of the 29th Australian Conference on Computer-Human Interaction10.1145/3152771.3152781(87-97)Online publication date: 28-Nov-2017
    • (2016)Fujisawa, Towards a Sustainable Smart CityEnablers for Smart Cities10.1002/9781119329954.ch11(221-237)Online publication date: 2-Aug-2016
    • (2015)Interaction with Large DisplaysACM Computing Surveys10.1145/268262347:3(1-38)Online publication date: 17-Feb-2015
    • (2014)Modelling In-Store Consumer Behaviour Using Machine Learning and Digital Signage Audience Measurement DataVideo Analytics for Audience Measurement10.1007/978-3-319-12811-5_9(123-133)Online publication date: 30-Oct-2014
    • (2014)Features Descriptors for Demographic Estimation: A Comparative StudyVideo Analytics for Audience Measurement10.1007/978-3-319-12811-5_5(66-85)Online publication date: 30-Oct-2014

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