Analysis of Interactive Application in Forest Management Visualization

EasyChair Preprint 5287

Abstract

In view of the complexity and diversity of forest management operation types, and the poor interaction and lack of natural and realistic interaction experience, three kinds of interaction methods for forestry practitioners were developed. [Method] through the network questionnaire survey, the content of forest management visualization method concerned by forestry related workers was obtained, and the interaction mode that forestry practitioners are interested in was selected. Based on the appropriate platform, the forest management operation interaction method was developed to visually simulate the operation process of replanting, pruning and logging. The results of the questionnaire survey showed that the three most interesting interaction modes of forestry practitioners were voice interaction (71.67%), mouse and keyboard interaction (66.67%) and body action interaction (53.89%); the interaction accuracy of voice based forest management operation interaction method was low, and the average number of operations needed to complete cutting, pruning and replanting operations was more than 3 times, which was very important in forestry The recognition accuracy of professional terms is low (86%), but the interactive experience is natural and realistic; the success rate of UI based forest management interaction method is 96%, but it needs to use the mouse to click the forest model in the virtual scene for many times, so the interaction is not natural and realistic; the success rate of body action based forest management interaction method is 90%, and each body action is not natural All of them can be correctly mapped to the forest management operation method, and the interaction is more natural and realistic.

Keyphrases: CAVE2, UI interaction, body action interaction, forest management operation simulation, voice interaction

@booklet{EasyChair:5287,
  author    = {Nianfu Zhu and Huaiqing Zhang and Yuanqing Zuo and Tingdong Yang and Jing Zhang and Zeyu Cui and Linlong Wang},
  title     = {Analysis of Interactive Application in Forest Management Visualization},
  howpublished = {EasyChair Preprint 5287},
  year      = {EasyChair, 2021}}