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Industrial human-robot interaction: Creating personas for augmented reality supported robot control and teaching

Stadler, Susanne; Mirnig, Nicole; Giuliani, Manuel; Tscheligi, Manfred; Materna, Zdenek; Kapinus, Michal

Authors

Susanne Stadler

Nicole Mirnig

Manuel Giuliani Manuel.Giuliani@uwe.ac.uk
Co- Director Bristol Robotics Laboratory

Manfred Tscheligi

Zdenek Materna

Michal Kapinus



Abstract

In strong cooperation with small and medium-sized enterprises (SMEs), we research the simplification of industrial robot online-programming. For that, we extend existing programming interfaces with augmented reality (AR) technology. We proactively use personas as a tool for human-robot interaction design, the communication of study results and the discussion of findings with our industrial partners. While personas are popular in Human-Computer Interaction (HCI), their use is not well established in Human-Robot Interaction (HRI) [2]. We conducted contextual inquiries, interviews, and questionnaires with 80 industrial robotics professionals. From these qualitative and quantitative data, we now have a basis for describing the characteristics of persons working in the industrial robotics field. This work focuses on our approach to develop and share basic data-based personas for industrial robotics research. In this early stage we propose an initial list of variables suitable for personas in the field of industrial HRI. For our purpose we extendd this variable list with AR related person characteristics. The future aim of this work is to provide a set of basic personas for industrial robotics usable in academic and industrial environments that can be adapted to particular usage scenarios.

Citation

Stadler, S., Mirnig, N., Giuliani, M., Tscheligi, M., Materna, Z., & Kapinus, M. (2017, March). Industrial human-robot interaction: Creating personas for augmented reality supported robot control and teaching. 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Presentation Conference Type Conference Paper (unpublished)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 291-292
Keywords industrial, human-robot, interaction, creating personas, augmented, reality supported, robot, control, teaching
Public URL https://uwe-repository.worktribe.com/output/897264
Publisher URL http://dl.acm.org/citation.cfm?id=3038365&CFID=926192940&CFTOKEN=43051335
Related Public URLs http://delivery.acm.org/10.1145/3040000/3038365/p291-stadler.pdf?ip=164.11.72.201&id=3038365&acc=OPENTOC&key=BF07A2EE685417C5%2EE8A7A6C337F38B5C%2E4D4702B0C3E38B35%2E9F04A3A78F7D3B8D&CFID=752655233&CFTOKEN=14000866&__acm__=1492596571_6ddde8b04d91324d6a689
Additional Information Title of Conference or Conference Proceedings : 2017 ACM/IEEE International Conference on Human-Robot Interaction