Demand Analysis for an Augmented Reality based Assembly Training

The first head-mounted display (HMD) was developed in 1986 by Ivan Sutherland. Since then, augmented reality (AR) applications are largely limited to prototypes. One reason might be the lack of user comprehension regarding user requirements. In order to develop a HMD-based training system for daily use, it is important to understand user demands. This paper aims at presenting a demand analysis for an industrial engine assembly line at the car manufacturer BMW Group. We describe the background of training within industries (TWI) and present extant AR-based training studies. We use the value proposition design method to analyze our customers and classify our requirements with a common quality management method, the Kano Model. We find four "must-have" requirements for a HMD-based training system, which are crucial for the development of a minimal viable solution. In order to familiarize assembly employees with augmented reality applications, we design a simple demonstration for the Microsoft HoloLens. Additionally, we present future research directions focusing on comprehensive user studies in real industrial environments.

[1]  Gordon B. Davis,et al.  User Acceptance of Information Technology: Toward a Unified View , 2003, MIS Q..

[2]  Giuseppe Monno,et al.  Augmented reality on large screen for interactive maintenance instructions , 2014, Comput. Ind..

[3]  C Berger,et al.  KANO’S METHODS FOR UNDERSTANDING CUSTOMER-DEFINED QUALITY , 1993 .

[4]  Siam Charoenseang,et al.  Augmented reality for skill transfer in assembly task , 2005, ROMAN 2005. IEEE International Workshop on Robot and Human Interactive Communication, 2005..

[5]  N. Denzin The research act: A theoretical introduction to sociological methods , 1977 .

[6]  Elsa Eiriksdottir,et al.  Procedural Instructions, Principles, and Examples , 2011, Hum. Factors.

[7]  Holger Regenbrecht,et al.  Augmented reality projects in the automotive and aerospace industries , 2005, IEEE Computer Graphics and Applications.

[8]  Timo Engelke,et al.  Generating vision based Lego augmented reality training and evaluation systems , 2010, 2010 IEEE International Symposium on Mixed and Augmented Reality.

[9]  Yves Pigneur,et al.  Value Proposition Design , 2015 .

[10]  Dominic Gorecky,et al.  COGNITO: a cognitive assistance and training system for manual tasks in industry , 2011, ECCE.

[11]  Markus Funk,et al.  Using In-Situ Projection to Support Cognitively Impaired Workers at the Workplace , 2015, ASSETS.

[12]  Antonija Mitrovic,et al.  Intelligent Augmented Reality Training for Motherboard Assembly , 2015, International Journal of Artificial Intelligence in Education.

[13]  Petr Hořejší,et al.  Augmented Reality System for Virtual Training of Parts Assembly , 2015 .

[14]  Franco Tecchia,et al.  Design Guidelines for the Development of Virtual Reality and Augmented Reality Training Systems for Maintenance and Assembly Tasks , 2011 .

[15]  Xiangyu Wang,et al.  A study on the benefits of augmented reality in retaining working memory in assembly tasks: A focus on differences in gender , 2013 .

[16]  Franco Failli,et al.  An Integrated Environment Based on Augmented Reality and Sensing Device for Manual Assembly Workstations , 2016 .

[17]  N.D. Macchiarella,et al.  Augmented reality in a learning paradigm for flight aerospace maintenance training , 2004, The 23rd Digital Avionics Systems Conference (IEEE Cat. No.04CH37576).

[18]  Amaury Peniche,et al.  Combining virtual and augmented reality to improve the mechanical assembly training process in manufacturing , 2012 .

[19]  Anna Syberfeldt,et al.  Dynamic operator instructions based on augmented reality and rule-based expert systems , 2016 .

[20]  Robert J. Wrona,et al.  The TWI Workbook: Essential Skills for Supervisors, Second Edition , 2015 .

[21]  Fabian Quint,et al.  Comparing Video and Augmented Reality Assistance in Manual Assembly , 2016, 2016 12th International Conference on Intelligent Environments (IE).

[22]  Jens Keil,et al.  Design Criteria for AR-Based Training of Maintenance and Assembly Tasks , 2011, HCI.

[23]  Glyn Lawson,et al.  Empirical evidence, evaluation criteria and challenges for the effectiveness of virtual and mixed reality tools for training operators of car service maintenance , 2015, Comput. Ind..

[24]  Kurt Matzler,et al.  THE KANO MODEL: HOW TO DELIGHT YOUR CUSTOMERS , 1996 .

[25]  Patrick Graupp,et al.  Implementing TWI: Creating and Managing a Skills-Based Culture , 2010 .

[26]  Chun-Chih Chen,et al.  Integrating the Kano model into a robust design approach to enhance customer satisfaction with product design , 2008 .

[27]  Anna Syberfeldt,et al.  Support Systems on the Industrial Shop-floors of the Future – Operators’ Perspective on Augmented Reality☆ , 2016 .

[28]  Detlef Zühlke,et al.  Nutzergerechte Entwicklung von Mensch-Maschine-Systemen , 2012 .