Person: Ortiz Nicolás, Amalia
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Ortiz Nicolás
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Amalia
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Estadística, Informática y Matemáticas
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ISC. Institute of Smart Cities
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0000-0002-6446-6024
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8910
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Publication Open Access Design of an immersive virtual reality framework to enhance the sense of agency using affective computing technologies(MDPI, 2023) Ortiz Nicolás, Amalia; Elizondo Martínez, Sonia; Estadística, Informática y Matemáticas; Estatistika, Informatika eta MatematikaVirtual Reality is expanding its use to several fields of application, including health and education. The continuous growth of this technology comes with new challenges related to the ways in which users feel inside these virtual environments. There are various guidelines on ways to enhance users’ virtual experience in terms of immersion or presence. Nonetheless, there is no extensive research on enhancing the sense of agency (SoA), a phenomenon which refers to the self-awareness of initiating, executing, and controlling one’s actions in the world. After reviewing the state of the art of technologies developed in the field of Affective Computing (AC), we propose a framework for designing immersive virtual environments (IVE) to enhance the users’ SoA. The framework defines the flow of interaction between users and the virtual world, as well as the AC technologies required for each interactive component to recognise, interpret and respond coherently within the IVE in order to enhance the SoA.Publication Open Access A multi-object grasp technique for placement of objects in virtual reality(MDPI, 2022) Fernández Ortega, Unai Javier; Elizondo Martínez, Sonia; Iriarte Cárdenas, Naroa; Morales, Rafael; Ortiz Nicolás, Amalia; Marichal Baráibar, Sebastián Roberto; Ardaiz Villanueva, Óscar; Marzo Pérez, Asier; Institute of Smart Cities - ISC; Universidad Pública de Navarra / Nafarroako Unibertsitate PublikoaSome daily tasks involve grasping multiple objects in one hand and releasing them in a determined order, for example laying out a surgical table or distributing items on shelves. For training these tasks in Virtual Reality (VR), there is no technique for allowing users to grasp multiple objects in one hand in a realistic way, and it is not known if such a technique would benefit user experience. Here, we design a multi-object grasp technique that enables users to grasp multiple objects in one hand and release them in a controlled way. We tested an object placement task under three conditions: real life, VR with single-object grasp and VR with multi-object grasp. Task completion time, distance travelled by the hands and subjective experience were measured in three scenarios: sitting in front of a desktop table, standing up in front of shelves and a room-size scenario where walking was required. Results show that the performance in a real environment is better than in Virtual Reality, both for single-object and multi-object grasping. The single-object technique performs better than the multi-object, except for the room scenario, where multi-object leads to less distance travelled and reported physical demand. For use cases where the distances are small (i.e., desktop scenario), single-object grasp is simpler and easier to understand. For larger scenarios, the multi-object grasp technique represents a good option that can be considered by other application designers.Publication Open Access Hand-as-a-prop: using the hand as a haptic proxy for manipulation in virtual reality(Springer, 2023) Marichal Baráibar, Sebastián Roberto; Ezcurdia Aguirre, Íñigo Fermín; Morales González, Rafael; Ortiz Nicolás, Amalia; Marzo Pérez, Asier; Ardaiz Villanueva, Óscar; Estadística, Informática y Matemáticas; Estatistika, Informatika eta Matematika; Institute of Smart Cities - ISC; Universidad Pública de Navarra / Nafarroako Unibertsitate PublikoaHaptic feedback can be almost as important as visual information in virtual reality environments. On the one hand, in Active Haptic Feedback, specialized devices such as vibrotactile gloves are employed; however, these solutions can be expensive, vendor-specific or cumbersome to setup. On the other hand, Passive Haptic Feedback approaches use inexpensive objects as proxies for the virtual entities; but mapping virtual objects to real props is not scalable nor flexible. We propose the Hand-as-a-Prop technique, which consists in using human hands as object props. We implemented two modalities: Self, where the user¿s non-dominant hand act as the virtual object while the dominant hand grabs, translates and releases it; and External, where the hand of another person is used. Hand-as-a-Prop can represent multiple shapes with a single prop and does not require extra hardware. We performed an evaluation comparing both Self and External Hand-as-a-Prop with traditional Object Props in terms of user experience (goodness, ease, realism, fatigue, and preference) and performance (task completion time and translation time). Results showed that Hand-as-a-Prop was rated as neutral tending to positive, and in some cases, the performance was similar to Object Props. Users preferred Self Hand-as-a-Prop over External Hand-as-a-Prop and also obtained better results.