**4. Results Mapping Cultural Experiences to Semantic Trajectories**

SemMR integrates key technologies, such as semantic and IoT technologies, for user interaction, in order to advance cultural experiences within a new shared cultural experience ecosystem (Figure 1), accommodating provisions for supporting MR-based interaction.

Data / Information

**Figure 1.** The shared cultural experience ecosystem (SCEE).

The key concept in SemMR is the handling of real-world information as part of virtual entities (VE) that change and evolve, either individually or as part of related groups. The VEs are in collaboration to create experiences and they may interact with human experiencers or with each other in scenarios or stories. Such interaction (that can be seen as a dialogue between multiple types of entities, human, and virtual) might be dynamically shape when trajectories of previous and recently authored experiences coincide or become relevant. Multiple users may interact with multiple entities at different times, thus creating a shared experience user space in cultural or other domains. The SemMR ecosystem maintains the shared experiences that are complete, allowing for variable length (number of visiting points of interest/events/activities and their duration). User behaviour is monitored by employing interaction metrics and sensor data from wearables, such as smart bands, on the users. Through the analysis, the shared experiences are reconfigured and then presented to the SemMR entities for selection and interaction. The SCEE is the enabler for advanced interaction and experience sharing, since experts may author interactive experiences that may intersect and interchange in a dynamic fashion during the interaction, offering new relevant cultural interaction potential to the users.

#### **5. System Architecture**

Based on the SemMR framework, this section elaborates on the architectural design of a SemMR-based system, which constitutes its first realization/instantiation. The proposed system in Figure 2 is considered to be a sample instantiation of the framework, without only limiting SemMR to the proposed architectural design that is presented in this paper. However, the architectural design presented below is based on one-to-one mapping of its components (methods and tools) to the concept that is specified in SemMR.

**Figure 2.** Proposed system design architecture based on SemMR framework.

The main components of the proposed SemMR-based system are the following:


The functionality of each component is detailed in the following paragraphs.
