On the Use of Handheld Augmented Reality for Inventory Tasks: A Study with Magazine Retailers
- Peter Mitts,
- Henrique Galvan Debarba
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewOpen access
Abstract
In this paper we investigate if handheld augmented reality, in the form of an application running on a mainstream smartphone, can serve as a practical and effective tool for inventory tasks. Taking magazine retail as an example, we have applied a user-centered design process to research, design, implement and evaluate a handheld AR application prototype. We conducted a qualitative user study at magazine retail stores, where staff responsible for magazines were interviewed (n=8) and their primary magazine handling tasks observed. After an analysis of the study findings, we selected a key task as the basis for the design, implementation and test of an AR app prototype. The task consisted of collecting and registering a list of magazines for return to the distributor. We evaluated the AR app prototype in a user study (n=22), where participants used it to perform the selected task. They also performed the task using the paper list currently in use, and a second, simplified app prototype, without AR features. Task performance was measured based on time and error rate. The participant’s subjective experience was also captured in the form of a post-task survey and interview. Our findings suggest that handheld AR can prove effective when used for specific, focused tasks, rather than more open-ended ones.
Publication Information
Output type
Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-reviewHost publication Subtitle
Human-Computer Interaction – INTERACT 2021Original language
EnglishPublication milestones
- Published - 2021
Publication status
Published - 2021
Publisher
Springer, United States, GermanyBook series
- Book series name: Lecture Notes in Computer Science
Volume: 12932
ISSN: 0302-9743
Publication IDs
- Scopus: 85115070929
Host publication title
Lecture Notes in Computer SciencePublication metrics
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Captures
10
Access to documents
Accepted author manuscript, 3.81 MB
Related Event
Title
Conference on Human-Computer Interaction 2021: Conference on Human-Computer Interaction
Event type
ConferenceDegree of recognition
International eventDate
25/08/2021 - 27/08/2021Location
BariItaly
