Conference PaperPDF Available

Augmented reality for ndimensional building information modelling : Contextualization, Customization and Curation

978-1-4673-8993- 8/16/$31.00 ©2016 IEEE
Augmented Reality for nDimensional
Building Information Modelling
Contextualization, Customization and Curation
School of Built Environment
University of Reading Malaysia
Educity, Iskandar Puteri, Johor, Malaysia.,
School of Construction Management and Engineering
University of Reading
Whiteknights, Reading Berkshire, United Kingdom.
Centre for Research-Creation in Digital Media
Sunway University
Bandar Sunway, Selangor, Malaysia.
Department of Structure and Materials
Faculty of Civil Engineering, Universiti Teknologi Malaysia
Johor, Malaysia.
Abstract This paper presents an experimental method and
apparatus of augmented reality (AR) for nDimensional (nD)
building information modeling (BIM). BIM allows nD
information to be visualized simultaneously by architects,
engineers and constructors to gain a synchronized understanding
viewing from different perspectives. However, BIM is
conventionally being operated on a desktop-based computer
which makes collaboration less flexible, and it also creates an
isolation gap between the model and reality. This isolation gap
does not severely affect experienced and skilled professionals, as
they can bridge the isolation gap with their intuition developed
over the years. Nevertheless, users who are lack of such
experience will feel the isolation gap between the digital realm
and practicable reality, which could be the hurdle in project
participation and decision making. AR allows virtual content to
be mixed with real environment for user experience. In the
context of our study, AR is functional to present the nD
information of BIM, at the same time retaining users’ connection
with the reality. It is not just being utilized solely for
presentation, but also to maximize the potential for
communication, interaction and experience. This pilot study
investigates effective technological approach of using AR as an
effective collaboration technology combining with BIM through
proposed key aspects of contextualization, customization and
curation. Contextualization is significant to enable users to
understand the AR content by making the presented information
meaningful to the target audience, implemented thru the means
of 2D annotations, animations and options comparison. This
study compares both AR BIM with and without
contextualization. Customization can generate unique virtual
environment and content for different level of users tailored to
their needs and preference to create intuitive interaction with AR
BIM. Curation is crucial to provide users with a reliable
experience, and to formulate a continually improving AR BIM
thru log data and users’ feedback. All in all, this paper explores
the major aspects of contextualization, customization and
curation, to distinguish effective approach in the currently “free
for all” AR BIM development. Finally, an implication is provided
for future study in terms of balance in information sufficiency
and complexity for AR BIM.
Keywords— augmented reality; building information
modelling; contextualization; customization; curation
Technology advancement in the form of “future shock” [1]
is developing at an exponential speed with synergy of diverse
emerging digital innovations. Collaborations among different
specializations are becoming more common than before [2], as
technologies that are previously enigmatic and expensive are
now widely available and affordable. This paper revisits two
maturing digital developments - augmented reality (AR) and
building information modelling (BIM) to explore the
combined application. While it is essential to review the
current industrial trends, this paper imaginatively explores the
combination of AR and BIM from the major aspects of
contextualization, customization and curation. Users who are
utilizing BIM in AR understand and appreciate the content
through contextualization, undergo unique experience
matching their preferences though customization, and
remember and archive the content through curation. These
aspects are instrumental to stimulate the adoption and
implementation process leading to practical functions, instead
of short-lived technological hype. This research adopted
framework analysis that visualizes interviewees’ preferences
and opinions reacting to different types of AR BIM models.
Such findings are later being scrutinized to understand each
model types’ strengths and weakness in contextualization,
customization and curation. It is noteworthy that such research
is significant to mitigate the fluctuation of technological
adoption and implementation as described in Gartner's hype
cycle [3]. This pilot study focuses on AR and BIM, but the
applied approach is suitable for other types of digital contents.
Augmented Reality (AR) [4] allows combination of a live
real-world visual experience with virtual interactive content on
computing devices [5] [6]. AR becomes widely available
along with the recent advances of mobile devices with usable
computing capabilities. One enabler for mobile AR is tracking
technology, such as computer vision techniques for tracking
off pre-defined markers or markerless images. The industrial
interest and need of integrating BIM with AR which allows
the physical context of each construction activity or task to be
visualized has been highlighted in previous study [7] [8].
Various accessibility of augmented visualization methods
allow BIM-related projects to be made available for
developers and end-users at faster speed, smaller devices, and
higher level of graphical details.
In this study, several graphical reproduction options of
BIM-project are being experimented to gauge the usefulness
of AR visualization. Markerless AR experience which allows
content library to be visualized on mobile devices can be
developed using AR browser systems (eg. Augment) or offline
mobile applications (eg. Unity and Vuforia). Typically AR
browser allows greater numbers of BIM content to be stored
online and presented without any constraint of mobile storage
in users’ devices. However, the stability of user experiences
highly relies on internet network speed. Therefore it is logical
and essential to deliver a moderate amount usable details for
AR objects with selective information to be presented in each
context related to the BIM-based project.
Building Information modelling (BIM) is a fresh process
integrating multidimensional information [9] [10] to improvise
design, construction, and facility management for the whole
built environment [11]. BIM provides an efficient delivery
foundation that benefits all construction industry stakeholders
[12]. Such digital process makes it possible to invigorate
integration between BIM with AR to accommodate decision
making [13] by creating user-centric interface [14].
In this study, digital content delivery focus in
contextualization is of the utmost importance [15] [16].
Contextualization is to localize the AR BIM applications
by ensuring that the correct meanings of source strings are
conveyed. In other words, it is giving meanings to AR BIM
content, so that it is understandable. Without
contextualization, users’ perception and satisfaction will be
hampered. It is also now much easier to provide unique
contents of direct relevance to individual customer [17] by
studying user perception and satisfaction [18].
Customization is defined as typically developed in
response to specific order by end users. It is to personalizing
AR BIM content, so that it suits specific needs. Digital
contents should be managed from the curation aspects by
maintaining and adding value to the content for both current
and future use [19]. Generally, researchers are familiar with
how to be an author, but now they have to learn how to
become a digital content curator [20] [21].
Curation is about maintaining and adding value to AR
BIM. It is deciding and archiving AR BIM content, so that it is
usable in the future. It is an active management and appraisal
of digital information over its entire life cycle [19]. In this
circumstance, AR BIM is specifically developed to improve
construction project management monitoring and control
through combination of live real-world visual and BIM model.
Therefore, it is expected to overcome project delivery
hindrance such as cost overrun and delay [22].
In this case study, interview and literature review are the
selected methods for data collection purpose. Such methods
are perfect suited to distinguish objectives that have to be
complied, to accomplish the required outcomes and avoidance
of any entanglement or inaccuracy of data, which will then
distract the genuine intentions at the very initial phase.
During the study, the literature review is established ahead.
This inevitably would link to the obtainment of much precious
background knowledge regarding the arisen issues, in
contemporaneous with the gaining of more detailed review to
equip with the relevance outcomes to be stroke. Undoubtedly,
the data is been fully utilized to outline the conceptual phase,
explicate and elaborate the study’s criteria.
The personal interviews are executed to generate findings
for the desired objectives. This approach is best suited as the
upcoming results required have to be specific and personal-
oriented. The interviews are directed to respective personnel
of BIM-related projects; as inevitably, actual and professional
perspectives and facts are highly demanded to boost the
results’ reliability. It is important to choose personal interview
as abundant private and confidential data and information
were necessitate for current research and thus, privacy and
approval are decisive.
The interview sessions were carried out in September
2016. The data obtained from the interviews is transcribed and
analyzed. The framework analysis [23] is used to analyze the
interview data. Srivastava & Thomson (2009) defined
framework analysis as a qualitative method that is well-
appropriated for applied policy research. Framework analysis
is portraying satisfying performance when adapted to research
that has specific questions, a limited time frame, a pre-
designed sample and a priori issues. During the analysis
process, data is sifted, charted and sorted in parallel with key
themes using five steps, which are: (1) familiarization:
transcribing and reading the data, (2) identifying a thematic
framework, (3) indexing/ coding: using numerical or textual
codes to identify specific piece of data which correspond to
different themes, (4) charting, (5) mapping and interpretation.
In this study, there are 4 types of AR BIM models: (1)
texturized model (Fig. 1), (2) geometry with 2D info model
Fig. 1. Texturized model.
Fig. 2. Geometry with 2D info model.
Fig. 3. Geometry only model.
Fig. 4. Wire frame model.
(Fig. 2), (3) geometry only model (Fig. 3), and (4) wire frame
model (Fig. 4). TABLE I list the codes for different
interviewee’s opinion.
Code Description of interviewee’s opinion
C01 Improves job quality
C02 Increase productivity
C03 Enhances effectiveness
C04 Increase profit
C05 Access more information
C06 Helps in decision making
C07 Easy to learn with it
C08 Interaction is clear and understandable
C09 Can be used without expert help
C10 Improve communication in organization
C11 I want to use it
C12 I like the idea of using this model
The data obtained from the study is transcribed and
analyzed. Due to the limited numbers of interviewees that
understand both AR and BIM, only acceptance percentage
above 70% are considered valid. Simple data visualizations
are perform to better understand the results.
There are five (5) architects, three (3) civil and structure
engineers and one (1) each of mechanical engineer and
electrical engineer participated in the interview. It is found
that 70% of the interviewees are middle executive level and
above, indicating a high credible of respondent profile in
terms of managerial level and working experience which are
salient to justify AR BIM contribution in this matter. The
findings are summarized in 3 tables: (1) TABLE II. Model
acceptance for contextualization, (2) TABLE III. Model
acceptance for customization and (3) TABLE IV. Model
acceptance for curation.
Type of Model
2D Info
Only Wire Frame
C01 100.0% 100.0% 80.0% 50.0%
C02 90.0% 100.0% 70.0% 60.0%
C03 100.0% 100.0% 70.0% 60.0%
C04 70.0% 90.0% 40.0% 50.0%
C05 90.0% 100.0% 80.0% 60.0%
C06 100.0% 100.0% 60.0% 40.0%
C07 90.0% 90.0% 80.0% 50.0%
C08 90.0% 90.0% 50.0% 40.0%
C09 70.0% 80.0% 40.0% 40.0%
C10 100.0% 100.0% 70.0% 40.0%
C11 100.0% 100.0% 60.0% 60.0%
C12 100.0% 100.0% 70.0% 60.0%
Type of Model
2D Info
Only Wire Frame
C01 90.0% 100.0% 70.0% 40.0%
C02 100.0% 100.0% 80.0% 50.0%
C03 100.0% 90.0% 70.0% 50.0%
C04 100.0% 100.0% 60.0% 50.0%
C05 100.0% 90.0% 60.0% 50.0%
C06 100.0% 100.0% 70.0% 50.0%
C07 100.0% 100.0% 70.0% 50.0%
C08 100.0% 100.0% 70.0% 50.0%
C09 80.0% 80.0% 50.0% 40.0%
C10 90.0% 80.0% 50.0% 50.0%
C11 100.0% 100.0% 50.0% 50.0%
C12 100.0% 100.0% 60.0% 50.0%
Type of Model
2D Info
Only Wire Frame
C01 100.0% 90.0% 50.0% 70.0%
C02 100.0% 80.0% 50.0% 70.0%
C03 100.0% 90.0% 50.0% 70.0%
C04 90.0% 80.0% 40.0% 60.0%
C05 100.0% 100.0% 60.0% 60.0%
C06 100.0% 80.0% 60.0% 60.0%
C07 80.0% 80.0% 70.0% 60.0%
C08 100.0% 80.0% 60.0% 60.0%
C09 70.0% 60.0% 50.0% 50.0%
C10 100.0% 80.0% 60.0% 60.0%
C11 100.0% 80.0% 60.0% 60.0%
C12 100.0% 80.0% 70.0% 50.0%
The findings demonstrate consistency among the
interviewees’ preferences. The most preferred type of model is
texturized model, followed by geometry with 2D info model.
These two types of models are recognized from the aspects of
helping users to contextualize to customize AR BIM contents.
As comparison, geometry only and wireframe models are not
as widely recognized as a good AR BIM application. While
this pilot study mainly focuses on construction industry
professionals, it is interesting using the same models and
interface to investigate other target groups based on different
categories such as genders, age, expertise levels etc. The
potential of AR BIM is both promising and challenging and
there are great potential for a new research direction from the
aspects of contextualization, customization and curation.
[1] A. Toffler, “Future shock”, Amereon Ltd., New York, 1970.
[2] F. Wickson, A.L Carew, A.W. Russell. “Transdisciplinary research:
characteristics, quandaries and quality”, Futures 38, no. 9, 2006, pp.
[3] A. Linden, and J. Fenn, “Understanding Gartner’s hype cycles”,
Strategic Analysis Report Nº R-20-1971. Gartner, Inc, 2003.
[4] R. Azuma, “A survey of augmented reality”, Presence: Teleoperators
and virtual environments 6, no. 4, pp. 355-385, 1997.
[5] M. Billinghurst, “The Future of Augmented Reality in Our Everyday
Life”, Nagoya, Japan: 19th International Display Workshops, In
Proceedings of the 19th International Display Workshops, 4-7 December
[6] D. Schmalstieg, T. Langlotz, and M. Billinghurst, “Augmented Reality
2.0”, Virtual Realities, Springer, pp. 13-37, 2010.
[7] X. Wang, P. ED. Love, M. J. Kim, C. Park, C. Sing, and L. Hou, “A
conceptual framework for integrating building information modeling
with augmented reality”, Automation in Construction 34 37-44, 2013.
[8] X. Wang, M. J. Kim, P. ED. Love, and S. Kang, “Augmented Reality in
built environment: Classification and implications for future research”,
Automation in Construction 32”, pp. 1-13, 2013.
[9] G. Aound, A. Lee, and S. Wu, “The utilisation of building information
models in nD modelling: a study of data interfacing and adoption
barriers”, ITcon Special Issue From 3D to nD modelling, vol. 10, pp. 15-
16, 2004.
[10] X. S. Lee, W. T. Cheah and M. F. Khamidi, “5D Building Information
Modelling–A Practicability Review”, In MATEC Web of Conferences,
vol. 66, p. 00026. EDP Sciences, 2016.
[11] S. Azhar, “Building information modeling (BIM): Trends, benefits,
risks, and challenges for the AEC industry”, Leadership and
Management in Engineering 11, no. 3, pp. 241-252, 2011.
[12] B. Succar, “Building information modelling framework: A research and
delivery foundation for industry stakeholders”, Automation in
construction 18, no. 3, pp. 357-375, 2009.
[13] J. Schade, T. Olofsson, and M. Schreyer, “Decisionmaking in a
modelbased design process”, Construction management and Economics
29, no. 4, pp. 371-382, 2011.
[14] M. Olbrich, G. Holger, S. Kahn, T. Engelke, J. Keil, P. Riess, S. Webel,
U. Bockholt, and G. Picinbono, “Augmented reality supporting user-
centric building information management”, The visual computer 29, no.
10, pp. 1093-1105, 2013.
[15] R. Rogowski, and S. Powers, “Contextualization is the Key to
Delivering Powerful, Personalized Digital Experiences”, UX Magazine
(, article no. 974, March 2013.
[16] K. Keahey, and T. Freeman, “Contextualization: Providing one-click
virtual clusters”, IEEE Fourth International Conference on eScience, pp.
301-308, 2008.
[17] A. Ansari, and C. F. Mela, “E-customization”, Journal of marketing
research 40, no. 2, pp. 131-145, 2003.
[18] J. Wind, and A. Rangaswamy, “Customerization: The next revolution in
mass customization”, Journal of interactive marketing 15, no. 1, pp. 13-
32, 2001.
[19] M. Pennock, “Digital Curation: A life-cycle approach to managing and
preserving usable digital information”, Library & Archives, January
[20] N. Beagrie, “Digital curation for science, digital libraries, and
individuals.” International Journal of Digital Curation 1, no. 1, pp. 3-16,
[21] J. Gray, S. S. Szalay, A. R. Thakar, and C. Stoughton, “Online scientific
data curation, publication, and archiving”, In Astronomical Telescopes
and Instrumentation, pp. 103-107. International Society for Optics and
Photonics, 2002.
[22] C. S. Chai, A. M. Yusof, H. Habil, “Delay mitigation in the Malaysian
housing industry: A structural equation modelling approach”, Journal of
Construction in Developing Countries. Vol 20 (1), pp. 65-83, 2015.
[23] A. Srivastava, and S. B. Thomson. “Framework analysis: a qualitative
methodology for applied policy research”, 2009.
... As already indicated in Sec. [318,486,554,19,114,525,635]. Some proposed applications can be considered to be within the bounds of 'ordinary' AR (i.e. ...
Full-text available
Augmented reality (AR) is generally well-suited for the interactive visualization of all kinds of virtual, three-dimensional data directly within the physical environment surrounding the user. Beyond that, AR holds the potential of not only visualizing arbitrary virtual objects anywhere but to visualize geospatial data directly in-situ in the location that the data refer to. Thus it can be used to enrich a part of the real world surrounding the user with information about this environment and the physical objects within it. In the scope of this work, this usage mode is defined and discussed under the term of ’fused reality’. An appropriate scenario to demonstrate and elaborate on the potential of fused reality is its application in the context of digital building models, where building specific information, e.g. about the course of pipelines and cables within the walls, can be visualized directly in the respective location. In order to realize the envisioned concept of indoor fused reality, some principal requirements must be fulfilled. Among these is the need for an appropriate digital model of a building environment at hand which is to be enriched with virtual content. While building projects are nowadays oftentimes designed and executed with the help of building information modeling techniques, appropriate digital representations of older stock buildings are usually hard to come by. If a corresponding model of a given building environment is available, the respective AR device needs to be able to determine its current position and orientation with respect to the model in order to realize a correct registration of the physical building environment and the virtual content from the model. In this work, different aspects about how to fulfill these requirements are investigated and discussed. First, different ways to map indoor building environments are discussed in order to acquire raw data for constructing building models. In this context, an investigation is presented about whether a state-of-the-art AR device can be deployed to this task as well. In order to generate building models based on this indoor mapping data, a novel, fully-automated, voxel-based indoor reconstruction method is presented and evaluated on four datasets with corresponding ground truth data that were acquired to this aim. Furthermore, different possibilities to localize mobile AR devices within indoor environments are discussed and the evaluation of a straight-forward, markerbased approach is presented. Finally, a novel method for aligning indoor mapping data with the coordinate axes is presented and evaluated.
... Modern AR engines like Google ARCore or Apple ARKit, (released in 2017) and Microsoft HoloLens released in 2016 use AR SLAM-based systems [55]. Vuforia similarly released an AR SLAM-based technology [56]. There are three categories of AR devices Table 4: ...
The construction of a building comprises several phases and involves many stakeholders. As projects have become more and more complex, the Building Information Modeling (BIM) methodology was proposed to unify projects around a Digital Twin of the information necessary for collaboration. In recent years, Augmented Reality (AR) and Virtual Reality (VR) have shown their relevance in assisting in various construction activities. However, their use requires additional refinement for them to be integrated into the BIM process. This literature review is an analysis of the cutting-edge applications of AR and VR in Architecture Engineering Construction (AEC) projects and prevailing trends in their usage. This review focuses on publications related to BIM's safety applications (such as risk prevention and site operations during construction phase), as well as on data flow architectures between BIM and AR or VR applications.
Conference Paper
Full-text available
Quality, time and cost are the three most important elements in any construction project. Building information that comes timely and accurately in multiple dimensions will facilitate a refined decision making process which can improve the construction quality, time and cost. 5 dimensional Building Information Modelling or 5D BIM is an emerging trend in the construction industry that integrates all the major information starts from initial design to final construction stage. After that, the integrated information are being arranged and communicated through Virtual Design and Construction (VDC). This research is to gauge the practicability of 5D BIM by the means of hands-on modelling of a conceptual bungalow design based on one of the most popular BIM tools. A bungalow is selected as a study subject to simulate the major stages of 5D BIM digital workflow. The whole process starts with developing drawings (2D) into digital model (3D), and followed by the incorporation of time (4D) and cost (5D). Observations are focus on the major factors that will affect the practicability of 5D BIM including the modelling effort, inter-operability, information output and limitations. This research concludes that 5D BIM certainly has high level practicability which further differentiate BIM from Computer Aided Design (CAD). Although it is possible to incorporate more than 5 dimensions of information, it is foreseeable that excessive information may escalate the complexity unfavourably for BIM implementation. However, although 5D BIM has achieved a significant level of practicability, further research should be conducted to streamline implementation. Once 5D BIM is matured and widely accepted, it is foreseeable that additional BIM dimensions of information will be incorporated into sophisticated digital building model to achieve specific project outcomes. Keywords: Building Information Modelling, Cost Estimation, Inter-operability, Time Scheduling, Virtual Design and Construction
Full-text available
Policies and procedures govern organizations whether they are private or public, for-profit or not-for-profit. Review of such policies and procedures are done periodically to ensure optimum efficiency within the organization. Framework analysis is a qualitative method that is aptly suited for applied policy research. Framework analysis is better adapted to research that has specific questions, a limited time frame, a pre-designed sample and a priori issues. In the analysis, data is sifted, charted and sorted in accordance with key issues and themes using five steps: familiarization; identifying a thematic framework; indexing; charting; and mapping and interpretation. Framework analysis provides an excellent tool to assess policies and procedures from the very people that they affect.
Full-text available
Decisions early in the design process have a big impact on the life cycle performance of a building. The outcome of a construction project can be improved if different design options can rapidly be analysed to assist the client and design team in making informed decisions in the design process. A model-based design approach can facilitate the decision-making process if the design alternatives' performances can be evaluated and compared. A decision-making framework using a performance-based design process in the early design phase is proposed. It is developed to support decision-makers to take informed decisions regarding the life cycle performance of a building. A scenario is developed in order to demonstrate the proposed framework of evaluating the different design alternatives' energy performance. The framework is applicable to decision-making in a structured design process, where design alternatives consisting of both objective and subjective evaluation criteria can be evaluated.
Full-text available
During the last two decades, designers have been embracing building information modeling (BIM) to improve the quality of the documentation that is produced as well as constructability. While BIM has become an innate feature of the design process within the construction industry, there have been limited investigations that have examined how it can be integrated into real-time communication on-site. In addressing this gap, this paper proposes a conceptual framework that integrates BIM with augmented reality (AR) so as to enable the physical context of each construction activity or task to be visualized in real-time. To be effective, it is suggested that AR should be ubiquitous (including context awareness) and thus operate in conjunction with tracking and sensing technologies such as radio frequency identification (RFID), laser pointing, sensors and motion tracking.
The housing industry is one of the major contributors to the economy in Malaysia due to the constantly high housing demand. The housing demand has increased due to the rapid growth in population and urbanisation in the country. One of the major challenges in the housing industry is the late delivery of housing supply, which in some instances leads to sick and abandoned housing projects. Despite being extensively investigated, this delay is still a common phenomenon of the housing industry in Malaysia. As delay in delivery could result in a negative impact, there is a strong need to review the housing delay mitigation measures practised in Malaysia. This paper aims to evaluate the current delay mitigation measures and its main objective is to explore the relationship between the mitigation measures and delay in housing via a Structural Equation Modelling (SEM) approach. A questionnaire survey through an online survey tool was conducted across 13 states and three Federal Territories in Malaysia. The target respondents are the local authorities, developers, consultants (principal submitting persons) and contractors. The findings show that 17 mitigation criteria can be extracted using principal component analysis. These measures were categorised as predictive, preventive, organisational or corrective. This paper demonstrates that preventive measures are the most influential mitigation measures for housing delivery delay.
Augmented Reality (AR) is technology that allows virtual imagery to be overlaid on the real world. Although invented forty years ago, it can now be used by almost anyone. We review the state of the art and describe how AR could be part of everyday life in the future.
Building information modeling (BIM) is one of the most promising recent developments in the architecture, engineering, and construction (AEC) industry. With BIM technology, an accurate virtual model of a building is digitally constructed. This model, known as a building information model, can be used for planning, design, construction, and operation of the facility. It helps architects, engineers, and constructors visualize what is to be built in a simulated environment to identify any potential design, construction, or operational issues. BIM represents a new paradigm within AEC, one that encourages integration of the roles of all stakeholders on a project. In this paper, current trends, benefits, possible risks, and future challenges of BIM for the AEC industry are discussed. The findings of this study provide useful information for AEC industry practitioners considering implementing BIM technology in their projects.
The rapid development of geo-referenced information changed the way on how we access and interlink data. Smartphones as enabling devices for information access are main driving factor. Thus, the hash key to information is the actual position registered via camera and sensory of the mobile device. A rising technology in this context is Augmented Reality (AR) as its fuses the real world captured with the smartphone camera with geo-referenced data. The technological building blocks analyse the intrinsic sensor data (camera, GPS, inertial) to derive a detailed pose of the smartphone aiming to align geo-referenced information to our real environment. In particular, this is interesting to applications where 3D models are used in planning and organization processes as, e.g., facility management. Here, Building Information Models (BIM) were established in order to hold “as built” information, but also to manage the vast amount of additional information coming with the design, such as building components, properties, maintenance logs, documentation, etc. One challenge is to enable stakeholders involved in the overall building lifecycle to get mobile access to the management system within on-site inspections and to automatise feedback of newly generated information into the BIM. This paper describes a new AR framework that offers on-site access to BIM information and user centric annotation mechanism.