Donkov Bogdanov, Stefan
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Donkov Bogdanov
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Stefan
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Estadística, Informática y Matemáticas
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Publication Open Access Mental workload of guiding devices: directional pulling forces, vibrotactile stimuli and audio cues(Association for Computing Machinery, 2024-06-19) Donkov Bogdanov, Stefan; Elizondo Martínez, Sonia; Ezcurdia Aguirre, Íñigo Fermín; Sarasate Azcona, Iosune; Marzo Pérez, Asier; Estadística, Informática y Matemáticas; Estatistika, Informatika eta MatematikaAsymmetric vibrations are known to produce a pulling sensation when stimulating the human hand. This effect has been exploited as a means of guidance. We conducted a user study to compare asymmetric vibrations, simple vibration, and sound cues for guidance in terms of task completion time and mental workload. Mental workload was evaluated (N=22) using the dual-task paradigm with a Stroop test and arithmetic operations test as secondary tasks. Audio cues improved significantly the task completion time for baseline and stroop tasks compared to the other methods. No significant differences were found for the reaction time for the guiding task. The use of audio cues was evaluated as the less mentally demanding guiding method on the NASA-TLX questionnaire.Publication Open Access ElectroCaresses: contactless apparent motion on the forearm using electrostatic piloerection(IEEE, 2025-06-12) Bouzbib, Elodie Lyath; Donkov Bogdanov, Stefan; Elizondo Martínez, Sonia; Irisarri Erviti, Josu; Aldea Esnaola, Mikel; Ezcurdia Aguirre, Íñigo Fermín; Iriarte Cárdenas, Naroa; Marzo Pérez, Asier; Estadística, Informática y Matemáticas; Estatistika, Informatika eta MatematikaDevices capable of stroking the user's forearm are being explored for digitally mediated touch but are mainly contact-based. We propose ElectroCaresses, the use of electrostatic piloerection to convey contactless gentle strokes by generating dynamic patterns of hair erection along the forearm. We investigated if a discrete set of electrodes can convey apparent motion (n=12), and evaluated effects of distance, duration and direction on continuity perception. We show that participants can discriminate stimuli direction with a high accuracy (93%) and perceive a continuous stroking stimulus using discrete signals. We finally propose guidelines for designing haptic illusions of motion using electrostatics-based haptics.