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Critical methods and user generated content: the iPhone on YouTube

Authors:

Paul CairnsAuthors Info & Claims

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1467 - 1476

https://doi.org/10.1145/1518701.1518923

Published: 04 April 2009 Publication History

Abstract

Sites like YouTube offer vast sources of data for studies of human computer interaction. However, they also present a number of methodological challenges. This paper offers an example study of the initial reception of the iPhone 3G through YouTube. It begins with a quantitative account of the overall shape of the most frequently viewed returns for an iPhone 3G" search. A content analysis of the first hundred videos then explores the returns categorized by genre. Comments on the most popular video "Will It Blend"are analysed using grounded theory. It is argued that social science methods are not sufficient for a rich understanding of such material. The paper concludes with an analysis of"Will it Blend"that draws on cultural and critical theory. It is argued that a multi-methodological approach is necessary to exploit such data and also to address the challenges of next generation Human Computer Interaction (HCI).

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Cited By

Cho YKwon G(2025)Understanding service robot adoption and resistance from a service provider perspectiveTechnological Forecasting and Social Change10.1016/j.techfore.2024.123885210(123885)Online publication date: Jan-2025
https://doi.org/10.1016/j.techfore.2024.123885
Jeong LKoo Y(2024)The Experience of Using Artificial Intelligence for the Disabled: Evaluation of Community Service Experience Factors and Proposal of Strategies for Self-reliance of the Developmentally DisabledArchives of Design Research10.15187/adr.2024.07.37.3.16737:3(167-195)Online publication date: 31-Jul-2024
https://doi.org/10.15187/adr.2024.07.37.3.167
Yu XHoggenmüller MTran TWang YTomitsch M(2024)Understanding the Interaction between Delivery Robots and Other Road and Sidewalk Users: A Study of User-generated Online VideosACM Transactions on Human-Robot Interaction10.1145/367761513:4(1-32)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1145/3677615
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Index Terms

Critical methods and user generated content: the iPhone on YouTube
1. Human-centered computing

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cover image ACM Conferences

CHI '09: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2009

2426 pages

ISBN:9781605582467

DOI:10.1145/1518701

General Chairs:
Dan R. Olsen
Brigham Young University
,
Richard B. Arthur
Brigham Young University
,
Program Chairs:
Ken Hinckley
Microsoft Research
,
Meredith Ringel Morris
Microsoft Research
,
Scott Hudson
Carnegie Mellon University
,
Saul Greenberg
University of Calgary

Copyright © 2009 ACM.

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: 04 April 2009

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CHI '09: CHI Conference on Human Factors in Computing Systems

April 4 - 9, 2009

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CHI '09 Paper Acceptance Rate 277 of 1,130 submissions, 25%;

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

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Cited By

Cho YKwon G(2025)Understanding service robot adoption and resistance from a service provider perspectiveTechnological Forecasting and Social Change10.1016/j.techfore.2024.123885210(123885)Online publication date: Jan-2025
https://doi.org/10.1016/j.techfore.2024.123885
Jeong LKoo Y(2024)The Experience of Using Artificial Intelligence for the Disabled: Evaluation of Community Service Experience Factors and Proposal of Strategies for Self-reliance of the Developmentally DisabledArchives of Design Research10.15187/adr.2024.07.37.3.16737:3(167-195)Online publication date: 31-Jul-2024
https://doi.org/10.15187/adr.2024.07.37.3.167
Yu XHoggenmüller MTran TWang YTomitsch M(2024)Understanding the Interaction between Delivery Robots and Other Road and Sidewalk Users: A Study of User-generated Online VideosACM Transactions on Human-Robot Interaction10.1145/367761513:4(1-32)Online publication date: 23-Oct-2024
https://dl.acm.org/doi/10.1145/3677615
Lee LLin Z(2024)Danger, Nuisance, Disregard: Analyzing User-Generated Videos for Augmented Reality Gameplay on Hand-held DevicesProceedings of the ACM on Human-Computer Interaction10.1145/36770638:CHI PLAY(1-33)Online publication date: 15-Oct-2024
https://dl.acm.org/doi/10.1145/3677063
Kou YMoradzadeh SGui X(2024)Trading as Gambling: Social Investing and Financial Risks on the r/WallStreetBets SubredditProceedings of the 2024 CHI Conference on Human Factors in Computing Systems10.1145/3613904.3642768(1-17)Online publication date: 11-May-2024
https://dl.acm.org/doi/10.1145/3613904.3642768
Wu LLiu QZhao JLank E(2023)Interactions across Displays and Space: A Study of Virtual Reality Streaming Practices on TwitchProceedings of the ACM on Human-Computer Interaction10.1145/36264737:ISS(242-265)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1145/3626473
Chen NSin FHerman LNguyen CSong IYoon D(2023)Using Online Videos as the Basis for Developing Design Guidelines: A Case Study of AR-Based Assembly InstructionsProceedings of the ACM on Human-Computer Interaction10.1145/36264647:ISS(41-63)Online publication date: 1-Nov-2023
https://dl.acm.org/doi/10.1145/3626464
Yang JLee S(2022)Analysis of Unboxing Experience by Applying Topic Modeling to YouTube Review Data: The Smartphone CaseJournal of the Korean Institute of Industrial Engineers10.7232/JKIIE.2022.48.6.54648:6(546-556)Online publication date: 15-Dec-2022
https://doi.org/10.7232/JKIIE.2022.48.6.546
Nielsen SSkov MHansen KKaszowska A(2022)Using User-Generated YouTube Videos to Understand Unguided Interactions with Robots in Public PlacesACM Transactions on Human-Robot Interaction10.1145/355028012:1(1-40)Online publication date: 1-Aug-2022
https://dl.acm.org/doi/10.1145/3550280
Reyes-Cruz GFischer JReeves S(2022)Supporting Awareness of Visual Impairments and Accessibility Reflections through Video Demos and Design CardsNordic Human-Computer Interaction Conference10.1145/3546155.3546697(1-15)Online publication date: 8-Oct-2022
https://dl.acm.org/doi/10.1145/3546155.3546697
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