Conference Paper

Pick-by-Vision: A First Stress Test

Tech. Univ. Munchen, Munich, Germany
DOI: 10.1109/ISMAR.2009.5336484 Conference: Mixed and Augmented Reality, 2009. ISMAR 2009. 8th IEEE International Symposium on
Source: IEEE Xplore


In this paper we report on our ongoing studies around the application of augmented reality methods to support the order picking process of logistics applications. Order picking is the gathering of goods out of a prepared range of items following some customer orders. We named the visual support of this order picking process using head-mounted displays ldquopick-by-visionrdquo. This work presents the case study of bringing our previously developed pick-by-vision system from the lab to an experimental factory hall to evaluate it under more realistic conditions. This includes the execution of two user studies. In the first one we compared our pick-by-vision system with and without tracking to picking using a paper list to check picking performance and quality in general. In a second test we had subjects using the pick-by-vision system continuously for two hours to gain in-depth insight into the longer use of our system, checking user strain besides the general performance. Furthermore, we report on the general obstacles of trying to use HMD-based AR in an industrial setup and discuss our observations of user behaviour.

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Available from: Lutz Schega, Dec 17, 2013
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    • "Processes like order picking in a logistic warehouse or storage can be supported by an HMD as a guidance system. The potentials of HMDs are well-known [1] and their capabilities are shown in different applicationscenarios [2]. On the other hand, there is a lack of user-friendliness in many systems that may lead to rejections or prejudices [3]. "
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    • "In the arts, systems have been developed to guide users in acting out film scripts while interacting with virtual characters [19], and to assist with playing music [10] [29] [7]. In logistics an AR system for warehouse order picking was shown to enable users to perform more quickly than a conventional paper-list–based approach [39]. All the previously cited AR systems for procedural task assistance track the position and orientation of the user's head relative to the task environment. "
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    • "In comparison with previous studies [4] [3] "
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