Many enterprises are exploring – or currently deploying – AR for displaying work instruction. Prior research projects gauged the effectiveness of using AR in learning and for facilitating task-based operations. This research project seeks to expand the current state of knowledge and shed light on AR-support for highly dexterous tasks, i.e., tasks that involve high levels of variability and flexibility in completion of a set of manual operations. An example of such tasks can be found in composite manufacturing, where typically a multitude of steps is required for task completion. Even more, each process step involves high levels of variability and there is more emphasis on the operator fulfilling subjective tasks rather than pre-specified operations.
In industries such as Composite Manufacturing, there is a drive for customers to produce ‘Right First Time’ products with an emphasis on the reduction of scrapped parts and time-consuming part reworking.
The results of this project will inform companies with these goals in their decision-making regarding adoption of AR-delivered work instructions for manual tasks involving high degrees of dexterity.
Suppliers of AR-assisted operator work instructions and learning solutions require evidence regarding key performance indicators to monitor and demonstrate effectiveness of their platforms to industry partners. This research project is expected to quantify impact and develop methods to predict potential benefit for companies delivering work instruction for highly dexterous tasks to employees regardless of their prior knowledge (for rapid re/upskilling).
The project aims to study impact of AR-assisted instruction for performing complex tasks that require high levels of dexterity. For this, the project will use a between-groups research design to contrast findings against those of a control group instructed with traditional means (PDF). It is expected that both quantitative and qualitative methods will be used in a mixed-method approach.
The project would use three tasks with both AR and non-AR work instruction each. This research project will evaluate effectiveness and efficiency in task guidance with the help of a big enough group of voluntary participants to an experiment, requiring about one hour per participant to complete.
Outputs of the learning tasks can be assessed with the help of an external assessor, who will mark task fulfilment with respect to accuracy, quality of the resulting work outputs, waste produced, and errors in task execution.
The system or observation capture environment for this project will provide time codes for start, each step, and end of the operation, possibly also linking motion capture data with body posture or finger movement. Observations should be complemented by a survey, setting additional evaluation focus on technology acceptance, spatial user experience, usability, or user engagement. Interaction with demographic characteristics could be of interest.
Bias (e.g., from priming effects) should be avoided. Part of the project proposal is to determine the required number of participants for the proposed exact research design and methodology. The proposer should explain and defend the chosen research design for measuring the intended KPIs and for answering the stated guiding research questions.
Guiding Research Questions
This project will answer questions including but not limited to the following:
The research will expose participants to different methods of information delivery:
This AREA research project will produce the following deliverables:
Note: The research conducted can be published with a 6-month embargo period.
The research project proposal will include (max 7 pages):
All proposals will be evaluated by the AREA research committee chair and research manager on the following criteria:
Timeline and Deadlines
Please use the form below to submit your proposal on or before 12 PM Eastern Daylight Time July 1 st 2022.
The AREA will provide detailed replies to submitters on or before July 7th 2022.
Unless otherwise negotiated in advance, the research project is expected to take approximately 120 days. Research will be completed, and finished deliverables provided to the AREA by October 28th 2022.
Budget for this Project
The AREA Research Committee budget for this project is $15,000.
For answers to any questions concerning this project and the AREA Research Committee, please send an email to the Research Committee.