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iHIP: Towards a User Centric Individual Human Interaction Proof Framework

Authors:

Christos Fidas,

Heinrich Hussmann,

Marios Belk,

George SamarasAuthors Info & Claims

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

Pages 2235 - 2240

https://doi.org/10.1145/2702613.2732748

Published: 18 April 2015 Publication History

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Abstract

A Completely Automated Public Turing test to tell Computers and Humans Apart (CAPTCHA) is a widely used Human Interaction Proof mechanism to protect on-line services against automated software agents. Nowadays, there is a consensus among researchers, practitioners and users that current design approaches of CAPTCHA need to be improved in order to provide a fair trade-off solution between security and usability. In this paper, we propose a shift from a generic Human Interaction Proof (HIP) to a more user-friendly Individual Human Interaction Proof (iHIP) approach by incorporating a dynamic and extendable human and technology factor based user-centric framework. Such an approach provides an alternative point of view to current state of the art practices aiming to deliver the best-fit CAPTCHA to each individual by taking into consideration contextual and behavioral interaction data.

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Cited By

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Constantinides AConstantinides CBelk MFidas CPitsillides A(2021)Applying Benford's Law as an Efficient and Low-cost Solution for Verifying the Authenticity of Users’ Video Streams in Learning Management SystemsIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3486622.3493993(563-569)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3486622.3493993
Leonidou PConstantinides ABelk MFidas CPitsillides A(2021)Eye Gaze and Interaction Differences of Holistic Versus Analytic Users in Image-Recognition Human Interaction Proof SchemesHCI for Cybersecurity, Privacy and Trust10.1007/978-3-030-77392-2_5(66-75)Online publication date: 24-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-77392-2_5
Georgakopoulos TKoutroumani MMoulias TFidas C(2020)On the Effectiveness of Low-Cost Face Recognition with Deep LearningProceedings of the 24th Pan-Hellenic Conference on Informatics10.1145/3437120.3437275(57-60)Online publication date: 20-Nov-2020
https://dl.acm.org/doi/10.1145/3437120.3437275
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Index Terms

iHIP: Towards a User Centric Individual Human Interaction Proof Framework
1. Human-centered computing

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Information & Contributors

Information

Published In

CHI EA '15: Proceedings of the 33rd Annual ACM Conference Extended Abstracts on Human Factors in Computing Systems

April 2015

2546 pages

ISBN:9781450331463

DOI:10.1145/2702613

General Chairs:
Bo Begole
Huawei, USA
,
Jinwoo Kim
Yonsei University, Korea
,
Program Chairs:
Kori Inkpen
Microsoft Research, USA
,
Woontack Woo
KAIST, Korea

Permission to make digital or hard copies of part or all 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 third-party components of this work must be honored. For all other uses, contact the Owner/Author.

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 April 2015

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Work in progress

Conference

CHI '15

Sponsor:

SIGCHI

CHI '15: CHI Conference on Human Factors in Computing Systems

April 18 - 23, 2015

Seoul, Republic of Korea

Acceptance Rates

CHI EA '15 Paper Acceptance Rate 379 of 1,520 submissions, 25%;

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

Upcoming Conference

CHI '25

Sponsor:
sigchi

CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

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Cited By

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Constantinides AConstantinides CBelk MFidas CPitsillides A(2021)Applying Benford's Law as an Efficient and Low-cost Solution for Verifying the Authenticity of Users’ Video Streams in Learning Management SystemsIEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology10.1145/3486622.3493993(563-569)Online publication date: 14-Dec-2021
https://dl.acm.org/doi/10.1145/3486622.3493993
Leonidou PConstantinides ABelk MFidas CPitsillides A(2021)Eye Gaze and Interaction Differences of Holistic Versus Analytic Users in Image-Recognition Human Interaction Proof SchemesHCI for Cybersecurity, Privacy and Trust10.1007/978-3-030-77392-2_5(66-75)Online publication date: 24-Jul-2021
https://dl.acm.org/doi/10.1007/978-3-030-77392-2_5
Georgakopoulos TKoutroumani MMoulias TFidas C(2020)On the Effectiveness of Low-Cost Face Recognition with Deep LearningProceedings of the 24th Pan-Hellenic Conference on Informatics10.1145/3437120.3437275(57-60)Online publication date: 20-Nov-2020
https://dl.acm.org/doi/10.1145/3437120.3437275
Michos EGkoumas SSiakampeti IFidas C(2020)On the Extension of the Haar Cascade Algorithm for Face Recognition: Case Study and ResultsProceedings of the 24th Pan-Hellenic Conference on Informatics10.1145/3437120.3437274(53-56)Online publication date: 20-Nov-2020
https://dl.acm.org/doi/10.1145/3437120.3437274
Fidas C(2019)Eye Tracking based Cognitive-Centered User ModelsIEEE/WIC/ACM International Conference on Web Intelligence10.1145/3350546.3352563(433-437)Online publication date: 14-Oct-2019
https://dl.acm.org/doi/10.1145/3350546.3352563
Constantinides ABelk MFidas CSamaras GMitrovic TZhang JChen LChin D(2018)On Cultural-centered Graphical PasswordsProceedings of the 26th Conference on User Modeling, Adaptation and Personalization10.1145/3209219.3209254(245-249)Online publication date: 3-Jul-2018
https://dl.acm.org/doi/10.1145/3209219.3209254
Belk MPamboris AFidas CKatsini CAvouris NSamaras GSheth ANgonga AWang yChang EŚlęzak DFranczyk BAlt RTao X(2017)Sweet-spotting security and usability for intelligent graphical authentication mechanismsProceedings of the International Conference on Web Intelligence10.1145/3106426.3106488(252-259)Online publication date: 23-Aug-2017
https://dl.acm.org/doi/10.1145/3106426.3106488
Samaras GPapadopoulos GKuflik TChen FDuarte CFu W(2017)Utilizing Human Cognitive and Emotional Factors for User-Centered ComputingProceedings of the 22nd International Conference on Intelligent User Interfaces10.1145/3025171.3026366(191-192)Online publication date: 7-Mar-2017
https://dl.acm.org/doi/10.1145/3025171.3026366
Belk MFidas CGermanakos PSamaras G(2017)The interplay between humans, technology and user authenticationComputers in Human Behavior10.1016/j.chb.2017.06.04276:C(184-200)Online publication date: 1-Nov-2017
https://dl.acm.org/doi/10.1016/j.chb.2017.06.042
Lorenzi DVaidya JAich ASural SAtluri VCalca J(2017)EmojiTCHA: Using Emotion Recognition to Tell Computers and Humans ApartICT Systems Security and Privacy Protection10.1007/978-3-319-58469-0_19(281-295)Online publication date: 4-May-2017
https://doi.org/10.1007/978-3-319-58469-0_19
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