An Augmented Reality inspection tool to support workers in Industry 4.0 environments

[1]  Shu Han,et al.  User-oriented AR assembly guideline: a new classification method of assembly instruction for user cognition , 2020, The International Journal of Advanced Manufacturing Technology.

[2]  JoonOh Seo,et al.  Impact of Mobile Augmented Reality System on Cognitive Behavior and Performance during Rebar Inspection Tasks , 2020, J. Comput. Civ. Eng..

[3]  Junhao Geng,et al.  A systematic design method of adaptive augmented reality work instruction for complex industrial operations , 2020, Comput. Ind..

[4]  Andrew A. West,et al.  Developing augmented reality capabilities for industry 4.0 small enterprises: Lessons learnt from a content authoring case study , 2020, Comput. Ind..

[5]  Tariq Masood,et al.  Augmented reality in support of intelligent manufacturing - A systematic literature review , 2020, Comput. Ind. Eng..

[6]  Tariq Masood,et al.  Adopting augmented reality in the age of industrial digitalisation , 2020, Comput. Ind..

[7]  David Alejandro,et al.  Projection-Based Augmented Reality Assistance for Manual Electronic Component Assembly Processes , 2020, Applied Sciences.

[8]  Moritz Quandt,et al.  User-Centered Evaluation of an Augmented Reality-based Assistance System for Maintenance , 2020 .

[9]  Johan Stahre,et al.  The Operator 4.0: Towards socially sustainable factories of the future , 2020, Comput. Ind. Eng..

[10]  Maurizio Muzzupappa,et al.  An augmented reality tool to detect and annotate design variations in an Industry 4.0 approach , 2019, The International Journal of Advanced Manufacturing Technology.

[11]  Francesco Pilati,et al.  Assembly systems in Industry 4.0 era: a road map to understand Assembly 4.0 , 2019, The International Journal of Advanced Manufacturing Technology.

[12]  T. Masood,et al.  Augmented reality in support of Industry 4.0 - Implementation challenges and success factors , 2019, Robotics Comput. Integr. Manuf..

[13]  Loris Barbieri,et al.  An Augmented Reality Tool to Detect Design Discrepancies: A Comparison Test with Traditional Methods , 2019, AVR.

[14]  Eleonora Bottani,et al.  Augmented reality technology in the manufacturing industry: A review of the last decade , 2019, IISE Trans..

[15]  Soh-Khim Ong,et al.  A Mobile Solution for Augmenting a Manufacturing Environment with User-Generated Annotations , 2019, Inf..

[16]  János Abonyi,et al.  Enabling Technologies for Operator 4.0: A Survey , 2018, Applied Sciences.

[17]  Thies Pfeiffer,et al.  In-Situ Instructions Exceed Side-by-Side Instructions in Augmented Reality Assisted Assembly , 2018, PETRA.

[18]  Monica Bordegoni,et al.  Converting maintenance actions into standard symbols for Augmented Reality applications in Industry 4.0 , 2018, Comput. Ind..

[19]  Fabrizio Lamberti,et al.  Advanced Interaction and Virtual\/Augmented Reality-Part II: A Look at Novel Applications , 2018, IEEE Consumer Electronics Magazine.

[20]  Li Da Xu,et al.  Industry 4.0: state of the art and future trends , 2018, Int. J. Prod. Res..

[21]  R. Pellerin,et al.  The industrial management of SMEs in the era of Industry 4.0 , 2018, Int. J. Prod. Res..

[22]  John Ahmet Erkoyuncu,et al.  A systematic review of augmented reality applications in maintenance , 2018 .

[23]  Nela Murauer,et al.  Comparison of Scan-Mechanisms in Augmented Reality-Supported Order Picking Processes , 2018, SmartObjects@CHI.

[24]  R. Schlagowski,et al.  Design of an assistant system for industrial maintenance tasks and implementation of a prototype using augmented reality , 2017, 2017 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM).

[25]  Antonio Padovano,et al.  Smart operators in industry 4.0: A human-centered approach to enhance operators' capabilities and competencies within the new smart factory context , 2017, Comput. Ind. Eng..

[26]  Ying Zhou,et al.  Implementation of augmented reality for segment displacement inspection during tunneling construction , 2017 .

[27]  Erik Hofmann,et al.  Industry 4.0 and the current status as well as future prospects on logistics , 2017, Comput. Ind..

[28]  Markus Funk,et al.  Working with Augmented Reality?: A Long-Term Analysis of In-Situ Instructions at the Assembly Workplace , 2017, PETRA.

[29]  Dimitris Mourtzis,et al.  Cloud-Based Augmented Reality Remote Maintenance Through Shop-Floor Monitoring: A Product-Service System Approach , 2017 .

[30]  Matthias Plasch,et al.  An intelligent maintenance planning framework prototype for production systems , 2017, 2017 IEEE International Conference on Industrial Technology (ICIT).

[31]  Monica Bordegoni,et al.  Supporting Remote Maintenance in Industry 4.0 through Augmented Reality , 2017 .

[32]  John Ahmet Erkoyuncu,et al.  Improving efficiency of industrial maintenance with context aware adaptive authoring in augmented reality , 2017 .

[33]  Tharindu De Silva,et al.  Enhanced Real-Time Machine Inspection with Mobile Augmented Reality for Maintenance and Repair: Demo Abstract , 2017, IoTDI.

[34]  Lovekesh Vig,et al.  An AR Inspection Framework: Feasibility Study with Multiple AR Devices , 2016, 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR-Adjunct).

[35]  Didier Stricker,et al.  Augmented Reality 3D Discrepancy Check in Industrial Applications , 2016, 2016 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

[36]  Ross T. Smith,et al.  Use of projector based augmented reality to improve manual spot-welding precision and accuracy for automotive manufacturing , 2016, The International Journal of Advanced Manufacturing Technology.

[37]  Fiorenzo Franceschini,et al.  Towards the use of augmented reality techniques for assisted acceptance sampling , 2016 .

[38]  Johan Stahre,et al.  TOWARDS AN OPERATOR 4.0 TYPOLOGY: A HUMAN-CENTRIC PERSPECTIVE ON THE FOURTH INDUSTRIAL REVOLUTION TECHNOLOGIES , 2016 .

[39]  Sotiris Makris,et al.  Augmented reality system for operator support in human–robot collaborative assembly , 2016 .

[40]  Jürgen Jasperneite,et al.  A context-aware assistance system for maintenance applications in smart factories based on augmented reality and indoor localization , 2015, 2015 IEEE 20th Conference on Emerging Technologies & Factory Automation (ETFA).

[41]  Henry W. W. Potts,et al.  Cognitive workload changes for nurses transitioning from a legacy system with paper documentation to a commercial electronic health record , 2015, Int. J. Medical Informatics.

[42]  James R. Lewis,et al.  Measuring Perceived Usability: The SUS, UMUX-LITE, and AltUsability , 2015, Int. J. Hum. Comput. Interact..

[43]  Stefano Federici,et al.  Assessing User Satisfaction in the Era of User Experience: Comparison of the SUS, UMUX, and UMUX-LITE as a Function of Product Experience , 2015, Int. J. Hum. Comput. Interact..

[44]  Miguel Mendoza,et al.  Augmented Reality as a Tool for Production and Quality Monitoring , 2015 .

[45]  Xiangyu Wang,et al.  Using Augmented Reality to Facilitate Piping Assembly: An Experiment-Based Evaluation , 2015, J. Comput. Civ. Eng..

[46]  Dario Antonelli,et al.  Enhancing the Quality of Manual Spot Welding through Augmented Reality Assisted Guidance , 2015 .

[47]  Johannes Cottyn,et al.  Towards Mixed Reality in SCADA Applications , 2015 .

[48]  Klaus Schilling,et al.  Augmented Reality for Telemaintenance and -inspection in Force-Sensitive Industrial Robot Applications , 2015 .

[49]  P. Fettke,et al.  Industry 4.0 , 2014, Bus. Inf. Syst. Eng..

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

[51]  Volker Wittstock,et al.  Mobile Augmented Reality Based Monitoring of Assembly Lines , 2014 .

[52]  Timo Engelke,et al.  Content first - A concept for industrial augmented reality maintenance applications using mobile devices , 2013, 2013 IEEE International Symposium on Mixed and Augmented Reality (ISMAR).

[53]  Svenja Kahn,et al.  Towards precise real-time 3D difference detection for industrial applications , 2013, Comput. Ind..

[54]  Juan M. Orduña,et al.  A new AR authoring tool using depth maps for industrial procedures , 2013, Comput. Ind..

[55]  Jennifer L. Martin,et al.  Reviewing and Extending the Five-User Assumption: A Grounded Procedure for Interaction Evaluation , 2013, TCHI.

[56]  Peter E.D. Love,et al.  Using Animated Augmented Reality to Cognitively Guide Assembly , 2013, J. Comput. Civ. Eng..

[57]  Carlos Eduardo Pereira,et al.  A model-based approach for data integration to improve maintenance management by mixed reality , 2013, Comput. Ind..

[58]  J. B. Brooke,et al.  SUS: a retrospective , 2013 .

[59]  Luis Eduardo Garza,et al.  Augmented Reality Application for the Maintenance of a Flapper Valve of a Fuller-kynion Type M Pump , 2013, VARE.

[60]  Fabio Bruno,et al.  An Interactive Tool for the Participatory Design of Product Interface , 2012 .

[61]  Timo Engelke,et al.  Augmented Reality Training for Assembly and Maintenance Skills , 2011 .

[62]  Bruce H. Thomas,et al.  Applying spatial augmented reality to facilitate in-situ support for automotive spot welding inspection , 2011, VRCAI.

[63]  Christian Teutsch,et al.  Worker assistance and quality inspection – application of optical 3D metrology and augmented reality technologies , 2011 .

[64]  Diego Borro,et al.  Providing guidance for maintenance operations using automatic markerless Augmented Reality system , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.

[65]  Harald Wuest,et al.  Augmented reality pipe layout planning in the shipbuilding industry , 2011, 2011 10th IEEE International Symposium on Mixed and Augmented Reality.

[66]  Ömer Akin,et al.  Augmented reality-based computational fieldwork support for equipment operations and maintenance , 2011 .

[67]  Ji Zhang,et al.  RFID-assisted assembly guidance system in an augmented reality environment , 2011 .

[68]  Jeff Sauro,et al.  When designing usability questionnaires, does it hurt to be positive? , 2011, CHI.

[69]  Luigi di Stefano,et al.  Augmented Reality for Aircraft Maintenance Training and Operations Support , 2011, IEEE Computer Graphics and Applications.

[70]  Didier Stricker,et al.  3D discrepancy check via Augmented Reality , 2010, 2010 IEEE International Symposium on Mixed and Augmented Reality.

[71]  Chung-Hyun Kim,et al.  Active insp ection supporting system based on mixed reality after design and manufacture in an offshore structure , 2010 .

[72]  D. W. F. van Krevelen,et al.  A Survey of Augmented Reality Technologies, Applications and Limitations , 2010, Int. J. Virtual Real..

[73]  Philip T. Kortum,et al.  Determining what individual SUS scores mean: adding an adjective rating scale , 2009 .

[74]  R Darin Ellis,et al.  NASA TLX: Software for assessing subjective mental workload , 2009, Behavior research methods.

[75]  Rüdiger Mecke,et al.  Mobile Augmented Reality in industrial applications: Approaches for solution of user-related issues , 2008, 2008 7th IEEE/ACM International Symposium on Mixed and Augmented Reality.

[76]  Andrew Y. C. Nee,et al.  Augmented reality for assembly guidance using a virtual interactive tool , 2008 .

[77]  Alex Olwal,et al.  Spatial augmented reality on industrial CNC-machines , 2008, Electronic Imaging.

[78]  Didier Stricker,et al.  Identifying differences between CAD and physical mock-ups using AR , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.

[79]  Nassir Navab,et al.  An Industrial Augmented Reality Solution For Discrepancy Check , 2007, 2007 6th IEEE and ACM International Symposium on Mixed and Augmented Reality.

[80]  Sandra G. Hart,et al.  Nasa-Task Load Index (NASA-TLX); 20 Years Later , 2006 .

[81]  Matthew Franklin,et al.  The Lessons Learned in the Application of Augmented Reality , 2006 .

[82]  Jakob Nielsen,et al.  Determining Usability Test Sample Size , 2006 .

[83]  Susana Rubio,et al.  Evaluation of Subjective Mental Workload: A Comparison of SWAT, NASA‐TLX, and Workload Profile Methods , 2004 .

[84]  Angela M. Cirucci,et al.  Usability Testing , 2021, UX Research Methods for Media and Communication Studies.

[85]  Joseph S. Dumas,et al.  Expert Reviews: How Many Experts is Enough? , 1995 .

[86]  J R Lewis,et al.  Sample Sizes for Usability Studies: Additional Considerations , 1994, Human factors.

[87]  R W Backs,et al.  Metabolic and cardiorespiratory measures of mental effort: the effects of level of difficulty in a working memory task. , 1994, International journal of psychophysiology : official journal of the International Organization of Psychophysiology.

[88]  John K. Tsotsos.  Analyzing vision at the complexity level , 1990, Behavioral and Brain Sciences.

[89]  M. Posner,et al.  Orienting of Attention* , 1980, The Quarterly journal of experimental psychology.