Concepts and methods to support the development and evaluation of remote collaboration using augmented reality

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dc.contributor.authorMarques, Bernardo
dc.date.accessioned2023-01-15T17:39:03Z
dc.date.available2023-01-15T17:39:03Z
dc.date.issued2021
dc.description.abstractRemote Collaboration using Augmented Reality (AR) shows great potential to establish a common ground in physically distributed scenarios where team-members need to achieve a shared goal. However, most research efforts in this field have been devoted to experiment with the enabling technology and propose methods to support its development. As the field evolves, evaluation and characterization of the collaborative process become an essential, but difficult endeavor, to better understand the contributions of AR. In this thesis, we conducted a critical analysis to identify the main limitations and opportunities of the field, while situating its maturity and proposing a roadmap of important research actions. Next, a human-centered design methodology was adopted, involving industrial partners to probe how AR could support their needs during remote maintenance. These outcomes were combined with literature methods into an AR-prototype and its evaluation was performed through a user study. From this, it became clear the necessity to perform a deep reflection in order to better understand the dimensions that influence and must/should be considered in Collaborative AR. Hence, a conceptual model and a human-centered taxonomy were proposed to foster systematization of perspectives. Based on the model proposed, an evaluation framework for contextualized data gathering and analysis was developed, allowing support the design and performance of distributed evaluations in a more informed and complete manner. To instantiate this vision, the CAPTURE toolkit was created, providing an additional perspective based on selected dimensions of collaboration and pre-defined measurements to obtain “in situ” data about them, which can be analyzed using an integrated visualization dashboard. The toolkit successfully supported evaluations of several team-members during tasks of remote maintenance mediated by AR. Thus, showing its versatility and potential in eliciting a comprehensive characterization of the added value of AR in real-life situations, establishing itself as a general-purpose solution, potentially applicable to a wider range of collaborative scenarios.en_US
dc.description.sponsorshipThe research presented in this thesis was developed in the scope of the PhD grant [SFRH/BD/143276/2019], funded by the FCT - Foundation for Science and Technology (FCT) and the European Social Fund (FSE) under the III community support framework. It was also supported by the Institute of Electronics and Informatics Engineering of Aveiro (IEETA), funded by National Funds through the FCT in the context of the project [UIDB/00127/2020]. Last, the maintenance context of this work was possible due to a partnership with the industry sector through the Smart Green Homes (SGH) Project [POCI-01- 0247-FEDER-007678], a co-promotion between the University of Aveiro and Bosch Termotecnologia S.A., financed by Portugal 2020 under the Competitiveness and Internationalization Operational Program and by the European Regional Development Fund.en_US
dc.identifier.citationMarques, B.: Concepts and methods to support the development and evaluation of remote collaboration using Augmented Reality. Ph.D. Thesis, Department of Electronics, Telecommunications and Informatics (DETI), University of Aveiro, Aveiro, Portugal pp. 1–178 (2021en_US
dc.identifier.urihttps://diglib.eg.org:443/handle/10.2312/2633268
dc.language.isoen_USen_US
dc.publisherUniversity of Aveiroen_US
dc.subjectRemote Collaboration, Augmented Reality, Computer Supported Cooperative Work, Maintenance Context, Collaborative Process, Evaluation, Characterization.en_US
dc.titleConcepts and methods to support the development and evaluation of remote collaboration using augmented realityen_US
dc.typeThesisen_US
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