research-article

Human computer interaction paradigm for business process task crowdsourcing

Authors:

Chithralekha Balamurugan,

Shourya RoyAuthors Info & Claims

APCHI '13: Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction

Pages 264 - 273

https://doi.org/10.1145/2525194.2525294

Published: 24 September 2013 Publication History

Abstract

In conventional systems like the web-based systems, device-based systems, or desktop systems, the Human Computer Interaction (HCI) spectrum encompasses of user interaction methods, interaction modes, user interface design, etc. that strive to facilitate a user to seamlessly and intuitively interact with the system to accomplish his system goals. This spectrum usually considers aspects pertaining to bringing the user to initiate interaction with the system and retaining the user's interest to keep interacting with the system as an outcome of the usability/user experience that a user obtains while interacting with the system. In the context of crowdsourcing, these aspects have individual significance and not completely user experience based. Hence, it is essential to widen the spectrum of HCI for crowdsourcing to embrace these additional aspects explicitly and provide for a comprehensive HCI paradigm for crowdsourcing

In this paper, the conceptualization and definition of HCI paradigm for crowdsourcing has been described. The application of every aspect of the proposed paradigm is illustrated with respect to crowdsourcing of a typical form digitization task. The defined aspects could also serve as HCI evaluation parameters for business process task crowdsourcing

References

[1]

Alabdullah, F. S., Alshammari, F. H., Alnaqeib, R., Zaidan, A. A., Zaidan, B. B. analytical Study on Internet Banking System. Journal of Computing, volume 2, Issue 6 June 2010.

[2]

Ambati, V., Vogel, S. &Carbonell, J. (2011). Towards Task Recommendation in Micro-Task Markets. AAAI 2011.

[3]

Chandler, D. &Kapelner, A. (2010). "Breaking Monotony with Meaning: Motivation in Crowdsourcing Markets," University of Chicago mimeo, 2010. http://www.danachandler.com/files/Chandler_Kapelner_BreakingMonotonyWithMeaning.pdf

[4]

Chilton, L. B., Horton, J. J., Miller, R. C., &Azenkot, S. (2010). Task search in a human computation marketProceedings of the ACM SIGKDD Workshop on Human Computation (pp. 1--9), Washington DC. http://groups.csail.mit.edu/uid/other-pubs/search-HCOMP2010.pdf

Digital Library

[5]

Dix, A., Roselli, T., Sutinen, E. E-learning and Human-Computer Interaction: Exploring Design Synergies for more Effective Learning Experiences. Educational Technology & Society, 9(4), 2006, 1--2.

[6]

Dow, S. P., Kulkarni, A., Klemmer, S. R. & Hartmann, B. (2012). Sheperding the crowd yields better work. Computer Supported Collaborative Work CSCW'12.

Digital Library

[7]

Fetaji, M., Loskoska, S., Fetaji, Bekim., Ebibi, M. Investigating Human Computer Interaction Issues in Designing Efficient Virtual Learning Environments, BCI 2007, 313--324

[8]

Gawande, V. Effective use of HCI in E-Learning, In Procs. Sixth International Conference on e-Learning for Knowledge Based Society, (2009)

[9]

Gulliksen, J. Designing for Usability - Domain Specific Human-Computer Interfaces in Working Life, Ph.D thesis, Systems and Controls Group, Uppsala University, Sweden, (1996), 57--85

[10]

Fetaji, M., Loskoska, S., Fetaji, Bekim., Ebibi, M. Investigating Human Computer Interaction Issues in Designing Efficient Virtual Learning Environments, BCI 2007, 313--324

[11]

Howe, J. (2006). The rise of crowdsourcing. http://www.wired.com/wired/archive/14.06/crowds.html

[12]

Kazai, G. (2010). An Exploration of the Influence that Task Parameters have on the Performance of Crowds. CrowdConf. http://www.crowdconf2010.com/images/finalpapers/kazai.pdf

[13]

Kendall, A. Human Computer Interaction. System Analysis and Design, Chapter 14, 533--589

[14]

Kittur, A., Chi, E. H. &Suh. B. (2008). Crowdsourcing user studies with Mechanical Turk. SIGCHI 2008. http://www-users.cs.umn.edu/~echi/papers/2008-CHI2008/2008-02-mech-turk-online-experiments-chi1049-kittur.pdf

Digital Library

[15]

Mason, W. &Watts. D. J. (2009). Financial incentives and the "Performance of Crowds". KDD-HCOMP '09, Paris, France. http:/research.yahoo.com/files/m_w_HComp.pdf

Digital Library

[16]

Nah, F. F. HCI Research Issues in E-Commerce. Journal of Electronic Commerce Research, (2002) Vol. 3, No. 3, 98--113.

[17]

Rogstadius, J., Kostakos, V., Kittur, A., Smus, B., Laredo, J. &Vukovic, M. (2011). An Assessment of Intrinsic and Extrinsic Motivation on Task Performance in Crowdsourcing Markets. Fifth International AAAI Conference on Weblogs and Social Media. http://www.mediateam.oulu.fi/publication s/pdf/1405.pdf

[18]

Ross, J., Irani, L., Silberman, M. S., Zaldivar, A. & Tomlinson, B. (2010). "Who are the Crowdworkers? Shifting Demographics in Mechanical Turk," in Proceedings of the ACM SIGCHI Conference on Human Factors in Computing Systems, Atlanta, Georgia, USA.

Digital Library

[19]

Yuen, M. C., King, Irwin, K., Leung, K. Task Recommendation in Crowdsourcing Systems. Crowd KDD 12, (2012), 22--26

Digital Library

[20]

http://en.wikipedia.org/wiki/Human-computer_interaction

[21]

http://en.wikipedia.org/wiki/User_interface

[22]

20120142-US-NP -Method And System For Processing Application Forms

[23]

20120199-US-NP- Method And System For A Text Data Entry From An Electronic Document

Cited By

Katre D(2021)Usability Evaluation of Cultural Heritage Crowdsourcing System (CHCS)Digital Literacy and Socio-Cultural Acceptance of ICT in Developing Countries10.1007/978-3-030-61089-0_17(273-290)Online publication date: 1-Jun-2021
https://doi.org/10.1007/978-3-030-61089-0_17
Lopatovska IKorshakova E(2020) Mechanical Turk or volunteer participant? Comparing the two samples in the study of intelligent personal assistants Proceedings of the Association for Information Science and Technology10.1002/pra2.23657:1Online publication date: 22-Oct-2020
https://doi.org/10.1002/pra2.236
Lenart-Gansiniec R(2017)Theoretical and Methodical Aspects of Crowdsourcing: Effectiveness and Its MeasuringJournal of Entrepreneurship, Management and Innovation10.7341/2017134313:2017(43-60)Online publication date: 2017
https://doi.org/10.7341/20171343

Index Terms

Human computer interaction paradigm for business process task crowdsourcing
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI theory, concepts and models
  2. Interaction design
    1. Interaction design process and methods
      1. User centered design
    2. Interaction design theory, concepts and paradigms

Recommendations

Combining content-based analysis and crowdsourcing to improve user interaction with zoomable video
MM '11: Proceedings of the 19th ACM international conference on Multimedia

This paper introduces a new paradigm for interacting with zoomable video. Our interaction technique reduces the number of zooms and pans required by providing recommended viewports to the users, and replaces multiple zoom and pan actions with a simple ...
Establishing a Decision Tool for Business Process Crowdsourcing
FDSE 2015: Proceedings of the Second International Conference on Future Data and Security Engineering - Volume 9446

The integration of crowdsourcing in organisations fosters new managerial and business capabilities, especially regarding flexibility and agility of external human resources. However, a crowdsourcing project involves considering multiple contextual ...
A Practical Paradigm and Platform for Video-Based Human-Computer Interaction

New technologies that use multimodal input, human experience, and modern hardware's full computational power could mitigate current limitations in human-computer interaction. The 4D Touchpad, a video-based interaction platform, makes robust, natural ...

Comments

Information & Contributors

Information

Published In

cover image ACM Conferences

APCHI '13: Proceedings of the 11th Asia Pacific Conference on Computer Human Interaction

September 2013

420 pages

ISBN:9781450322539

DOI:10.1145/2525194

General Chairs:
Sanjay Tripathi
ABB Corporate Research, India
,
Anirudha Joshi
IIT Bombay, India

Copyright © 2013 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 the author(s) 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].

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 24 September 2013

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

APCHI '13

Sponsor:

SIGCHI

APCHI '13: 11th Asia Pacific Conference on Computer Human Interaction

September 24 - 27, 2013

Bangalore, India

Upcoming Conference

CHI 2025

Sponsor:
sigchi

ACM CHI Conference on Human Factors in Computing Systems

April 26 - May 1, 2025

Yokohama , Japan

Contributors

Other Metrics

View Article Metrics

Bibliometrics & Citations

Bibliometrics

Article Metrics

3
Total Citations
View Citations
369
Total Downloads

Downloads (Last 12 months)9
Downloads (Last 6 weeks)3

Reflects downloads up to 05 Mar 2025

Other Metrics

View Author Metrics

Citations

Cited By

Katre D(2021)Usability Evaluation of Cultural Heritage Crowdsourcing System (CHCS)Digital Literacy and Socio-Cultural Acceptance of ICT in Developing Countries10.1007/978-3-030-61089-0_17(273-290)Online publication date: 1-Jun-2021
https://doi.org/10.1007/978-3-030-61089-0_17
Lopatovska IKorshakova E(2020) Mechanical Turk or volunteer participant? Comparing the two samples in the study of intelligent personal assistants Proceedings of the Association for Information Science and Technology10.1002/pra2.23657:1Online publication date: 22-Oct-2020
https://doi.org/10.1002/pra2.236
Lenart-Gansiniec R(2017)Theoretical and Methodical Aspects of Crowdsourcing: Effectiveness and Its MeasuringJournal of Entrepreneurship, Management and Innovation10.7341/2017134313:2017(43-60)Online publication date: 2017
https://doi.org/10.7341/20171343

View Options

Login options

Check if you have access through your login credentials or your institution to get full access on this article.

Full Access

Get this Publication

View options

PDF

View or Download as a PDF file.

eReader

View online with eReader.

Figures

Tables

Media

View Table of Conten