A Visualisation Driven Training for Vibrotactile Skin Reading
Vibrotactile skin-reading effectively conveys rich information via vibrotactile patterns, which has gained attention due to recent advancements. However, training to recognize and associate vibrotactile patterns with their meaning is time-consuming and tedious. The conventional training methods use...
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| Veröffentlicht in: | IEEE transactions on haptics 2022-01, Vol.15 (1), p.103-108 |
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| container_title | IEEE transactions on haptics |
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| creator | Luzhnica, Granit Veas, Eduardo |
| description | Vibrotactile skin-reading effectively conveys rich information via vibrotactile patterns, which has gained attention due to recent advancements. However, training to recognize and associate vibrotactile patterns with their meaning is time-consuming and tedious. The conventional training methods use repetitive exposure of the vibrotactile stimuli along with visual and auditory cues of the corresponding symbol. This work proposes a novel visual-based training method to teach users the associations between semantic information and vibrotactile patterns. Our proposed visual explanation training is compared with the conventional training method in a study with 18 participants. Results show that participants achieve a better performance using the new visual explanation training when identifying single English alphabet characters. Moreover, the proposed training also incurred a significantly lower workload (NASA TLX) and was preferred by study participants. The proposed method is thus effective and offers a less stressful form of training users for skin reading. |
| doi_str_mv | 10.1109/TOH.2021.3138773 |
| format | Article |
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However, training to recognize and associate vibrotactile patterns with their meaning is time-consuming and tedious. The conventional training methods use repetitive exposure of the vibrotactile stimuli along with visual and auditory cues of the corresponding symbol. This work proposes a novel visual-based training method to teach users the associations between semantic information and vibrotactile patterns. Our proposed visual explanation training is compared with the conventional training method in a study with 18 participants. Results show that participants achieve a better performance using the new visual explanation training when identifying single English alphabet characters. Moreover, the proposed training also incurred a significantly lower workload (NASA TLX) and was preferred by study participants. 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However, training to recognize and associate vibrotactile patterns with their meaning is time-consuming and tedious. The conventional training methods use repetitive exposure of the vibrotactile stimuli along with visual and auditory cues of the corresponding symbol. This work proposes a novel visual-based training method to teach users the associations between semantic information and vibrotactile patterns. Our proposed visual explanation training is compared with the conventional training method in a study with 18 participants. Results show that participants achieve a better performance using the new visual explanation training when identifying single English alphabet characters. Moreover, the proposed training also incurred a significantly lower workload (NASA TLX) and was preferred by study participants. 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However, training to recognize and associate vibrotactile patterns with their meaning is time-consuming and tedious. The conventional training methods use repetitive exposure of the vibrotactile stimuli along with visual and auditory cues of the corresponding symbol. This work proposes a novel visual-based training method to teach users the associations between semantic information and vibrotactile patterns. Our proposed visual explanation training is compared with the conventional training method in a study with 18 participants. Results show that participants achieve a better performance using the new visual explanation training when identifying single English alphabet characters. Moreover, the proposed training also incurred a significantly lower workload (NASA TLX) and was preferred by study participants. 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| language | eng |
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| source | IEEE Electronic Library (IEL) |
| subjects | Actuators Attention Computer system implementation computer systems organization Cues Encoding haptic display haptics haptics technology human haptics Humans information interfaces and representation (HCI) information technology and systems Skin Skin Physiological Phenomena skin reading tactile communication tactile display tactile feedback Task analysis technology Testing Touch Training User training Vibration Visual stimuli Visualization wearable computers |
| title | A Visualisation Driven Training for Vibrotactile Skin Reading |
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