Through a series of instructions, collaborative human-robot interaction is sought to achieve the execution of a practical session in the field of robotics. In this sense, a program composed of a series of instructions related to a typical activity of a practical session in the area of digital electronic systems was proposed. Specifically, a basic session on the management of embedded systems, where students of engineering and computer science will be participants. Basic electronic elements and an embedded system were used to develop a practical session. These elements are usually found in a laboratory in the robotics field because they are part of the fundamental knowledge in such area. The practical session will be carried out through human-robot collaboration (HRC), were the set of instructions is a series of orders given by the NAO, which is a humanoid social robot, thus it is initially indicated to the participant where to locate the electronic elements within a robotics laboratory. Once the set of elements is available, the NAO provides instructions to implement a simple circuit for turning on an LED using an embedded system. In addition, during instructions, the NAO will intentionally give incorrect instructions to the participant without the participant being affected in any way by the said error. In addition, the HRC was implemented in a virtual environment. Different tests were carried out in Virtual Reality (VR) environments because fewer resources are required for their development. In this way, we intend to corroborate the use of VR to develop HRC work tests that are normally carried out in the physical world. In this sense, the same laboratory environment used in the physical world was designed in a virtual environment and the NAO robot. In this way, the participant perceives that he is in a familiar environment. The aim for the participant was to develop a practical robotics session both in the physical world and VR, and to turn on the LED, even with the wrong instructions given by NAO. In both physical and VR cases, the NAO will give instructions for the development of the session. To assess compliance with this objective, a quantitative evaluation will be carried out using the Godspeed, RoSaS, and SUS questionnaires, which allows the evaluation of the perception associated with the performance of the NAO behavior. In addition, the NARS and BFI questionnaires were used to evaluate the participants’ perceptions regarding their interaction with the NAO. The responses (numeric responses) will be classified on Likert scales, and from this information, it is possible to identify the effectiveness and acceptance of the NAO as a support tool for the proposed program. 65.22/% of participants were able to carry out collaborative human-robot work during the practical session. These results support the feasibility and potential of social assistance robots in collaborative environments and highlight the importance of considering error perception and emotional responses in the design of robotic interactions and virtual reality environments.
