TY - JOUR
T1 - Information-level AR instruction
T2 - a novel assembly guidance information representation assisting user cognition
AU - Wang, Zhuo
AU - Bai, Xiaoliang
AU - Zhang, Shusheng
AU - He, Weiping
AU - Zhang, Xiangyu
AU - Zhang, Li
AU - Wang, Peng
AU - Han, Dechuan
AU - Yan, Yuxiang
N1 - Publisher Copyright:
© 2019, Springer-Verlag London Ltd., part of Springer Nature.
PY - 2020/1/1
Y1 - 2020/1/1
N2 - Recently, there are some problems in AR instruction research in assembly field, such as irregular instruction design form and redundant display of instruction content. The reason is that there is no AR instruction design rule for AR assembly. The goal of this rule should be to maximize users’ cognitive efficiency of guided content. In order to solve this problem, this paper carries out relevant research work. Firstly, the definition of AR instruction at geometric level and information level is given, and the corresponding design rules of AR instruction, namely, geometric level visualization (GLV) and information-level visualization (ILV), are proposed under these two definitions. Then, a data processing model oriented to the above rules is established, and the relationship and difference between them are elaborated. And then, according to GLV and ILV, four visual interfaces are designed to guide AR assembly. A case study was designed to test the performance of the four interfaces under the two specifications in terms of assembly time, operation experience (including enjoyment, concentration, self-confidence, natural intuition, feasibility, effectiveness, availability, and comprehensibility). Finally, through the test results of each interface, the influencing factors of ILV on user’s assembly efficiency, cognitive efficiency, and understanding are determined, and three implications of ILV are summarized. The results show that ILV with MBD design elements can improve user’s operating experience better than GLV.
AB - Recently, there are some problems in AR instruction research in assembly field, such as irregular instruction design form and redundant display of instruction content. The reason is that there is no AR instruction design rule for AR assembly. The goal of this rule should be to maximize users’ cognitive efficiency of guided content. In order to solve this problem, this paper carries out relevant research work. Firstly, the definition of AR instruction at geometric level and information level is given, and the corresponding design rules of AR instruction, namely, geometric level visualization (GLV) and information-level visualization (ILV), are proposed under these two definitions. Then, a data processing model oriented to the above rules is established, and the relationship and difference between them are elaborated. And then, according to GLV and ILV, four visual interfaces are designed to guide AR assembly. A case study was designed to test the performance of the four interfaces under the two specifications in terms of assembly time, operation experience (including enjoyment, concentration, self-confidence, natural intuition, feasibility, effectiveness, availability, and comprehensibility). Finally, through the test results of each interface, the influencing factors of ILV on user’s assembly efficiency, cognitive efficiency, and understanding are determined, and three implications of ILV are summarized. The results show that ILV with MBD design elements can improve user’s operating experience better than GLV.
KW - Assembly
KW - Augmented reality
KW - Precision
KW - User cognition
KW - Visualization
UR - http://www.scopus.com/inward/record.url?scp=85075390068&partnerID=8YFLogxK
U2 - 10.1007/s00170-019-04538-9
DO - 10.1007/s00170-019-04538-9
M3 - 文章
AN - SCOPUS:85075390068
SN - 0268-3768
VL - 106
SP - 603
EP - 626
JO - International Journal of Advanced Manufacturing Technology
JF - International Journal of Advanced Manufacturing Technology
IS - 1-2
ER -