Posters program

Insights on the Impact of Gender and Technological Expertise in Augmented Reality Remote Collaboration

Marques, Bernardo; Silva, Samuel; Dias, Paulo; Santos, Beatriz Sousa

Abstract
Solutions using Augmented Reality (AR) have been explored in recent times to address scenarios of remote collaboration in which team members are physically distributed. The literature illustrates that various user studies have been conducted to handle multiple types of tasks through the use of distinct AR methods and hardware. Regardless, given the novelty of this field, other important topics that may impact the collaborative process, and in turn, the insights collected have not been properly considered. This work discusses the impact of gender and technological expertise in remote AR user studies. A set of insights based on previous work are described. With this, we aim to raise awareness of the research community to these key aspects, and improve how the outcomes of the user studies are reported moving forward.


Geolocation Data as a Research Tool for the Organization of the Settlement System: Case Study of the Spatial Mobility Model in Czechia

Jaroš, Václav; Jaňura, Jakub; Svoboda, Petr

Abstract
Geolocation data is a widely used source of the spatial information. Their great potential might be also used for population mobility research to identify spatial interactions forming the hierarchical structure of the settlement system. For this purpose, a model of data acquisition and their preliminary analysis was developed. This model represents an effective tool for mapping the mobility behaviour of the population. Using the example of Czechia, significant commuting links are identified, which are subsequently analysed in detail using GIS tools. Therefore, important commuting centres of different hierarchical levels are defined by the volume and nature of spatial interactions. This approach is used as a source of important expertise for the proposals on subsequent Czech public administration reform. Nevertheless, the entire model is generally transferable, and the entire method of using the geolocation data for mapping the hierarchy within the settlement system can be replicated in other countries as well.