Skip to search boxSkip to navigationSkip to main content

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-review

Open access

Publication Information

Output type

Research Output:
Conference Article in Proceeding or Book/Report chapter
Article in proceedings
Peer-review

Host publication Subtitle

Human-Computer Interaction – INTERACT 2021

Original language

English

Publication milestones

  • Published - 2021

Publication status

Published - 2021

Publisher

Springer, United States, Germany

Book 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 Science

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 metrics

Related Event

Title

Conference on Human-Computer Interaction 2021: Conference on Human-Computer Interaction

Event type

Conference

Degree of recognition

International event

Date

25/08/2021 - 27/08/2021

Location

BariItaly