More Web Proxy on the site http://driver.im/

research-article

An empirical task analysis of warehouse order picking using head-mounted displays

Authors:

Kimberly A. Weaver,

Hannes Baumann,

Michael LawoAuthors Info & Claims

CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

Pages 1695 - 1704

https://doi.org/10.1145/1753326.1753580

Published: 10 April 2010 Publication History

Abstract

Evaluations of task guidance systems often focus on evaluations of new technologies rather than comparing the nuances of interaction across the various systems. One common domain for task guidance systems is warehouse order picking. We present a method involving an easily reproducible ecologically motivated order picking environment for quantitative user studies designed to reveal differences in interactions. Using this environment, we perform a 12 participant within-subjects experiment demonstrating the advantages of a head-mounted display based picking chart over a traditional text-based pick list, a paper-based graphical pick chart, and a mobile pick-by-voice system. The test environment proved sufficiently sensitive, showing statistically significant results along several metrics with the head-mounted display system performing the best. We also provide a detailed analysis of the strategies adopted by our participants.

Supplementary Material

JPG File (1753580_1.jpg)

Download
21.38 KB

index.html (index.html)

Slides from the presentation

Download
1.00 KB

Audio only (1753580_1.mp3)

Download
6.54 MB

Video (1753580_1.mp4)

Download
90.31 MB

References

[1]

J. Bartholdi and S. Hackmann. Warehouse and distribution science release 0.89. Technical report, Georgia Institute of Technology, January 2009.

[2]

N. Cowan. The magical number 4 in Short-Term memory: A reconsideration of mental storage capacity. Behavioral and Brain Sciences, 24(01):87--114, 2001.

[3]

J. Coyle, E. Bardi, and C. Langley. The Management of Business Logistics: A Supply Chain Perspective. South-Western College, Cincinnati, OH, 2002.

[4]

B. Crider. A battery of tests for the dominant eye. The Journal of General Psychology, 31:179--190, 1944.

[5]

H. Iben, H. Baumann, T. Starner, C. Ruthenbeck, and T. Klug. Visual based picking supported by context awareness: Comparing picking performance using paper-based lists versus lists presented on a head mounted display with contextual support. In ICMI-MLMI, Cambridge, MA, USA, November 2009. ACM.

Digital Library

[6]

R. Koster, T. Le-Duc, and K. Roodbergen. Design and control of warehouse order picking: a literature review. Technical Report ERS-2006-005-LIS, Rotterdam, The Netherlands, January 2006.

[7]

D. Mizell. Fundamentals of Wearable Computers and Augmented Reality, chapter Boeing's wire bundle assembly project, pages 447--467. Lawrence Erlbaum & Associates, Philadelphia, PA, 2001.

[8]

M. J. Muller. Invisible work of telephone operators: An ethnocritical analysis. Computer Supported Cooperative Work (CSCW), 8(1):31--61, Mar. 1999.

Digital Library

[9]

J. Ockerman. Task guidance and procedure context: aiding workers in appropriate procedure following. PhD thesis, Georgia Institute of Technology, Atlanta, GA USA, April 2000.

Digital Library

[10]

E. Peli. Visual issues in the use of a head-mounted monocular display. Optical Engineering, 29(8):883--892, 1990.

[11]

R. Reif, W.A. Günthner, B. Schwerdtfeger, and G. Klinker. Pick-by-vision comes on age: evaluation of an augmented reality supported picking system in a real storage environment. In AFRIGRAPH '09: Proceedings of the 6th International Conference on Computer Graphics, Virtual Reality, Visualisation and Interaction in Africa, pages 23--31, New York, NY, USA, 2009. ACM.

Digital Library

[12]

B. Schwerdtfeger, T. Frimor, D. Pustka, and G. Klinker. Mobile information presentation schemes for supra-adaptive logistics applications. In Advances in Artificial Reality and Tele-Existence, pages 998--1007. 2006.

Digital Library

[13]

D. Siewiorek, A. Smailagic, L. Bass, J. Siegel, R. Martin, and B. Bennington. Adtranz: a mobile computing system for maintenance and collaboration. In International Symposium on Wearable Computers, pages 25--32. IEEE Computer Society Press, 1998.

Digital Library

[14]

D. Siewiorek, A. Smailagic, and T. Starner. Application Design for Wearable Computing. Morgan Claypool, San Rafael, CA, 2008.

Digital Library

[15]

A. Smailagic, D. Siewiorek, R. Martin, and J. Stivoric. Very rapid prototyping of wearable computers: a case study of custom versus off-the-shelf design methodologies. Design Automation for Embedded Systems, 3(1):217--230, March 1998.

[16]

T.E. Starner. Wearable computers: No longer science fiction. IEEE Pervasive Computing, 1(1):86--88, 2002.

Digital Library

[17]

J.A. Tompkins, J.A. White, Y.A. Bozer, E.H. Frazelle, and J.M.A. Tanchoco. Facilities Planning. John Wiley and Sons, NJ, 2003.

Cited By

Chondromatidis NGialos AZeimpekis VMadas M(2024)Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory ExperimentsLogistics10.3390/logistics80100138:1(13)Online publication date: 30-Jan-2024
https://doi.org/10.3390/logistics8010013
Singh ASharma DK S(2024)Evolution of Mobile Computing: From Text-Based to Visual-Based Interactions2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)10.1109/ICOCWC60930.2024.10470729(1-6)Online publication date: 29-Jan-2024
https://doi.org/10.1109/ICOCWC60930.2024.10470729
Li KKhaday SPeng L(2023)Assessments of Order-Picking Tasks Using a Paper List and Augmented Reality Glasses with Different Order Information DisplaysApplied Sciences10.3390/app13221222213:22(12222)Online publication date: 10-Nov-2023
https://doi.org/10.3390/app132212222
Show More Cited By

Index Terms

An empirical task analysis of warehouse order picking using head-mounted displays
1. Human-centered computing
  1. Human computer interaction (HCI)
    1. HCI design and evaluation methods

Recommendations

Comparing order picking assisted by head-up display versus pick-by-light with explicit pick confirmation
ISWC '15: Proceedings of the 2015 ACM International Symposium on Wearable Computers

Manual order picking is an important part of distribution. Many techniques have been proposed to improve pick efficiency and accuracy. Previous studies compared pick-by-HUD (Head-Up Display) with pick-by-light but without the explicit pick confirmation ...
A comparison of order picking assisted by head-up display (HUD), cart-mounted display (CMD), light, and paper pick list
ISWC '14: Proceedings of the 2014 ACM International Symposium on Wearable Computers

Wearable and contextually aware technologies have great applicability in task guidance systems. Order picking is the task of collecting items from inventory in a warehouse and sorting them for distribution; this process accounts for about 60% of the ...
Evaluation of graphical user-interfaces for order picking using head-mounted displays
ICMI '11: Proceedings of the 13th international conference on multimodal interfaces

Order picking is the process of collecting items from an assortment in inventory. It represents one of the main activities performed in warehouses and accounts for about 60% of the total operational costs of a warehouse. In previous work, we ...

Comments

Please enable JavaScript to view thecomments powered by Disqus.

Information & Contributors

Information

Published In

cover image ACM Conferences

CHI '10: Proceedings of the SIGCHI Conference on Human Factors in Computing Systems

April 2010

2690 pages

ISBN:9781605589299

DOI:10.1145/1753326

General Chair:
Elizabeth Mynatt
Georgia Institute of Technology
,
Program Chairs:
Geraldine Fitzpatrick
Vienna University of Technology
,
Scott Hudson
Carnegie Mellon University
,
Keith Edwards
Georgia Tech
,
Tom Rodden
University of Nottingham

Copyright © 2010 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]

Sponsors

SIGCHI: ACM Special Interest Group on Computer-Human Interaction

Publisher

Association for Computing Machinery

New York, NY, United States

Publication History

Published: 10 April 2010

Permissions

Request permissions for this article.

Request Permissions

Check for updates

Author Tags

Qualifiers

Research-article

Conference

CHI '10

Sponsor:

SIGCHI

CHI '10: CHI Conference on Human Factors in Computing Systems

April 10 - 15, 2010

Georgia, Atlanta, USA

Acceptance Rates

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

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

48
Total Citations
View Citations
1,996
Total Downloads

Downloads (Last 12 months)101
Downloads (Last 6 weeks)29

Reflects downloads up to 01 Jan 2025

Other Metrics

View Author Metrics

Citations

Cited By

Chondromatidis NGialos AZeimpekis VMadas M(2024)Investigating the Impact of Completion Time and Perceived Workload in Pickers-to-Parts Order-Picking Technologies: Evidence from Laboratory ExperimentsLogistics10.3390/logistics80100138:1(13)Online publication date: 30-Jan-2024
https://doi.org/10.3390/logistics8010013
Singh ASharma DK S(2024)Evolution of Mobile Computing: From Text-Based to Visual-Based Interactions2024 International Conference on Optimization Computing and Wireless Communication (ICOCWC)10.1109/ICOCWC60930.2024.10470729(1-6)Online publication date: 29-Jan-2024
https://doi.org/10.1109/ICOCWC60930.2024.10470729
Li KKhaday SPeng L(2023)Assessments of Order-Picking Tasks Using a Paper List and Augmented Reality Glasses with Different Order Information DisplaysApplied Sciences10.3390/app13221222213:22(12222)Online publication date: 10-Nov-2023
https://doi.org/10.3390/app132212222
Radu IJoy TBott IBowman YSchneider B(2022)A Survey of Educational Augmented Reality in Academia and Practice: Effects on Cognition, Motivation, Collaboration, Pedagogy and Applications2022 8th International Conference of the Immersive Learning Research Network (iLRN)10.23919/iLRN55037.2022.9815979(1-8)Online publication date: 30-May-2022
https://doi.org/10.23919/iLRN55037.2022.9815979
De Lombaert TBraekers KDe Koster RRamaekers K(2022)In pursuit of humanised order picking planning: methodological review, literature classification and input from practiceInternational Journal of Production Research10.1080/00207543.2022.207943761:10(3300-3330)Online publication date: 1-Jun-2022
https://doi.org/10.1080/00207543.2022.2079437
Mohammed Musthafa Sheriff IJohn Aravindhar D(2022)NLP-Oriented Voice-Based Order Picking System in a Warehouse Management: A Systematic ReviewSmart Data Intelligence10.1007/978-981-19-3311-0_16(185-198)Online publication date: 18-Aug-2022
https://doi.org/10.1007/978-981-19-3311-0_16
Lin GHaynes MSrinivas SKotipalli PStarner T(2021)Towards Finding the Optimum Position in the Visual Field for a Head Worn Display Used for Task Guidance with Non-registered GraphicsProceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies10.1145/34480915:1(1-26)Online publication date: 30-Mar-2021
https://dl.acm.org/doi/10.1145/3448091
Lin GPanigrahi TWomack JPonda DKotipalli PStarner T(2021)Comparing Order Picking Guidance with Microsoft Hololens, Magic Leap, Google Glass XE and PaperProceedings of the 22nd International Workshop on Mobile Computing Systems and Applications10.1145/3446382.3448729(133-139)Online publication date: 24-Feb-2021
https://dl.acm.org/doi/10.1145/3446382.3448729
Yan ZShan YLi YYin KLi X(2021)Gender Differences of Cognitive Loads in Augmented Reality-based Warehouse2021 IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW)10.1109/VRW52623.2021.00132(500-501)Online publication date: Mar-2021
https://doi.org/10.1109/VRW52623.2021.00132
Setayesh AGrosse EGlock CNeumann W(2021)Determining the source of human-system errors in manual order picking with respect to human factorsInternational Journal of Production Research10.1080/00207543.2021.199102260:20(6350-6372)Online publication date: 26-Nov-2021
https://doi.org/10.1080/00207543.2021.1991022
Show More Cited By

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.

Media

Figures

Other

Tables

View Table of Contents