## 4 Experiments
### Experimental Validation
#### 4.1.2 Design of the Interventions  
Before starting interventions with end users, health professionals in the therapy center were given a manual on how to operate and use the LOLA platform. A briefing session was held with the personnel to answer any questions they may have. In therapy, the patient's physiotherapist is responsible for all evaluation processes involving the assistive robot. We aim that they can autonomously work with the platform and the applications designed. In the context of this technical validation, this is an important aspect, as it is crucial for us to identify what users actually think about the implemented application: is the proposed graphical user interface easy to use? Does the LOLA platform move and interact with the users in an effective way?  
Once the health personnel were trained, we were able to start the interventions with the 4 users that made up the study sample.  
Each patient is expected to take part in the therapy sessions with the robot for a maximum period of one month (four weeks) to study the results of the system. Only patients 1 and 2 could complete the 4 sessions. Patients 3 and 4 participated for two weeks and one week, respectively.  
In each week of the trial, the patients had a 30 min session with LOLA during which they interacted with it and were monitored while performing ADLs. Almost five minutes were required to complete each action, divided into two parts that lasted around two minutes each. For this technical validation, the healthcare professionals selected 4 particular ADLs to be used during the interventions. They are the following: Blow Dry Hair; Brushing Teeth; Writing On Board; and Mopping Floor. All these 4 actions can be recognized by the AI OAD model integrated in LOLA.  
Before each session of action monitoring with the robot, all the processes were explained to the patients. After selecting the patient user's ID and the requested action by the professionals, one of the sample videos is shown to the patients with all sub-actions included. After that, the patients were asked to wait some moments for the AI-based model to be loaded and then start performing the action that they had watched in the videos. When the patients performed certain actions, such as blowing dry hair and brushing their teeth, it was not necessary for them to stand to accomplish the task. Instead, they sat in front of the robot, watching the action and trying to mimic what had been demonstrated. These actions were implemented with the aid of face detection, so the patients were instructed to remove their masks, which were mandatory due to the COVID-19 restrictions. In the remainder of the actions, it was necessary for the patients to stand up and perform the actions so that they maintained an appropriate distance from the robot. Figure 8 shows some patients developing some of the ADLs during the intervention sessions.  
Since the main purpose of LOLA is to assist and monitor users, activating the OAD model will generate a report to inform professionals of the progress. The report contains information about the details provided by the AI model for action recognition. For every action recognition by the AI model, the report includes its starting and ending times, as well as an image of the user performing the action. The system also specifies whether the users performed the correct actions or not. All these details included in the report are a fundamental part that will allow the healthcare professionals to follow the protocol in [76]. Specifically, all the variables included in the reports will allow one to validate the level of matching between user and technology, the psychosocial impact of the assistive device on the user's life, the level of satisfaction in different domains, and the level of independence in the performance for activities of daily living. After each session, these variables can be evaluated alongside the robot's report to follow the patient's progress.