Popularity Prediction for Social Media over Arbitrary Time Horizons
Daniel Haimovich, Dima Karamshuk, Thomas Leeper, Evgeniy Riabenko, Milan Vojnovic
Eurohaptics
Past research has demonstrated that speech communication on the skin is entirely achievable. However, there is still no definitive conclusion on the best training method that minimizes the time it takes for users to reach a prescribed performance level with a speech communication device. The present study reports the design and testing of two learning approaches with a system that translates English phonemes to haptic stimulation patterns (haptic symbols). With the phoneme-based learning approach, users learned the haptic symbols associated with the phonemes before attempting to acquire words made up of the phonemes. With the word-based approach, users learned words on day one. Two experiments were conducted with the two learning approaches, each employing twelve participants who spent 100 minutes each learning 100 English words made up of 39 phonemes. Results in terms of the total number of words learned show that performance levels vary greatly among the individuals tested (with the best learners in both methods achieving word-recognition scores >90%-correct on a 100-word vocabulary), both approaches are feasible for successful acquisition of word through the skin, and the phoneme-based approach provides a more consistent path for learning across users in a shorter period of time.
Daniel Haimovich, Dima Karamshuk, Thomas Leeper, Evgeniy Riabenko, Milan Vojnovic
Liqi Yan, Qifan Wang, Yiming Cu, Fuli Feng, Xiaojun Quan, Xiangyu Zhang, Dongfang Liu
Barlas Oğuz, Kushal Lakhotia, Anchit Gupta, Patrick Lewis, Vladimir Karpukhin, Aleksandra Piktus, Xilun Chen, Sebastian Riedel, Wen-tau Yih, Sonal Gupta, Yashar Mehdad