Tablet-based augmented reality in the factory: Influence of knowledge in computer programming on robot teaching tasks

Kain, Kevin Sebastian; Stadler, Susanne; Giuliani, Manuel; Mirnig, Nicole; Stollnberger, Gerald; Tscheligi, Manfred

Abstract

We investigate whether a user’s background in computer programming has an influence on user’s mental workload, when using a tablet-based augmented reality robot control interface that visualizes task-based information. For this purpose we conducted a user study, in which participants solved multiple robot control tasks. In the study, the users had to control a Sphero robot ball with the help of a tablet-based augmented reality (AR) interface. The AR interface was used to show task instructions to the user. The results of the study show that users with computer programming background had a higher effort and also report a higher frustration when using the AR interface. Additionally, they rate the usability of the AR interface as "ok", in comparison to naive users without programming background, who gave it a "good" rating. These results suggest that users with a computer
programming background need an AR interface that visualizes more technical information.

Citation

Kain, K. S., Stadler, S., Giuliani, M., Mirnig, N., Stollnberger, G., & Tscheligi, M. (2017, March). Tablet-based augmented reality in the factory: Influence of knowledge in computer programming on robot teaching tasks. Paper presented at ACM/IEEE International Conference on Human-Robot Interaction 2017, Vienna, Austria

• Presentation Conference Type: Conference Paper (unpublished)
• Conference Name: ACM/IEEE International Conference on Human-Robot Interaction 2017
• Conference Location: Vienna, Austria
• Start Date: Mar 6, 2017
• End Date: Mar 9, 2017
• Acceptance Date: Mar 6, 2017
• Publication Date: Mar 6, 2017
• Deposit Date: Apr 20, 2017
• Peer Reviewed: Peer Reviewed
• Pages: 151-152
• Keywords: tablet-based, augmented reality, factory, influence, knowledge, computer programming, robot teaching tasks
• Public URL: https://uwe-repository.worktribe.com/output/897205
• Publisher URL: http://dl.acm.org/citation.cfm?id=3038347&CFID=926192940&CFTOKEN=43051335
• Related Public URLs: http://delivery.acm.org/10.1145/3040000/3038347/p151-kain.pdf?ip=164.11.72.201&id=3038347&acc=OPENTOC&key=BF07A2EE685417C5%2EE8A7A6C337F38B5C%2E4D4702B0C3E38B35%2E9F04A3A78F7D3B8D&CFID=752655233&CFTOKEN=14000866&__acm__=1492596845_42a8a92df81dc7424a96b46c
• Additional Information: Title of Conference or Conference Proceedings : 2017 ACM/IEEE International Conference on Human-Robot Interaction