美国计算机协会期刊
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作者:Omar Mubin , Kewal Wadibhasme , Philipp Jordan ...
来源:[J].ACM Transactions on Human-Robot Interaction (THRI), 2019, Vol.8 (1), pp.1-25ACM
摘要:Depictions of robots and AIs in popular science fiction movies and shows have the potential to showcase visions of Human-Robot Interaction (HRI) to the general public and computer science researchers alike. In contrast, studies on the referral, usage, and appropriation of these p...
作者:Patrícia Alves-Oliveira , Pedro Sequeira , Francisco S. Melo ...
来源:[J].ACM Transactions on Human-Robot Interaction (THRI), 2019, Vol.8 (1), pp.1-34ACM
摘要:This work explores a group learning scenario with an autonomous empathic robot. We address two research questions: (1) Can an autonomous robot designed with empathic competencies foster collaborative learning in a group context? (2) Can an empathic robot sustain positive educatio...
作者:Alina Lazar , Ling Jin , C. Anna Spurlock ...
来源:[J].Journal of Data and Information Quality (JDIQ), 2019, Vol.11 (2), pp.1-22ACM
摘要:The goal of this work is to investigate the impact of missing values in clustering joint categorical social sequences. Identifying patterns in sociodemographic longitudinal data is important in a number of social science settings. However, performing analytical operations, s...
作者:Jamy Li , Andrea Cuadra , Brian Mok ...
来源:[J].ACM Transactions on Human-Robot Interaction (THRI), 2019, Vol.8 (1), pp.1-14ACM
摘要:Dominance is a key aspect of interpersonal relationships. To what extent do nonverbal indicators related to dominance status translate to a nonanthropomorphic robot? An experiment ( N = 25) addressed whether a mobile robot's motion style can influence people's perceptions of its ...
作者:Fuli Feng , Xiangnan He , Xiang Wang ...
来源:[J].ACM Transactions on Information Systems (TOIS)(IF 1.07), 2019, Vol.37 (2), pp.1-30ACM
摘要:Stock prediction aims to predict the future trends of a stock in order to help investors make good investment decisions. Traditional solutions for stock prediction are based on time-series models. With the recent success of deep neural networks in modeling sequential data, deep l...
作者:Andrea Gregg , Penny Ralston-Berg , Alison Carr-Chellman
来源:[J].eLearn, 2019, Vol.2019 (3)ACM
摘要:The growth of online higher education has outpaced residential enrollments for the past six years and adults are a significant population of online learners. While certainly concerns about the efficacy of learning online have not fully gone away, online courses, and often entire ...
作者:P. G. Harrison , N. M. Patel , J. F. Pérez ...
来源:[J].ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2019, Vol.4 (1), pp.1-33ACM
摘要:Matrix analytic methods are developed to compute the probability distribution of response times (i.e., data access times) in distributed storage systems protected by erasure coding, which is implemented by sharding a data object into N fragments, only K <; N of which are req...
作者:Wasiur R. Khudabukhsh , Sounak Kar , Amr Rizk ...
来源:[J].ACM Transactions on Modeling and Performance Evaluation of Computing Systems (TOMPECS), 2019, Vol.4 (1), pp.1-31ACM
摘要:Parallel server frameworks are widely deployed in modern large-data processing applications. Intuitively, splitting and parallel processing of the workload provides accelerated application response times and scaling flexibility. Examples of such frameworks include MapReduce, Hado...
作者:Thomas Dietzen , Ann Spriet , Wouter Tirry ...
来源:[J].IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2019, Vol.27 (3), pp.544-558ACM
摘要:For blind speech dereverberation, two frameworks are commonly used: on the one hand, the multi-channel linear prediction MCLP framework, and on the other hand, data-dependent beamforming, e.g., the generalized sidelobe canceler GSC framework. The MCLP framework is designed to per...
作者:Salil Deena , Madina Hasan , Mortaza Doulaty ...
来源:[J].IEEE/ACM Transactions on Audio, Speech and Language Processing (TASLP), 2019, Vol.27 (3), pp.572-582ACM
摘要:Recurrent neural network language models RNNLMs generally outperform $n$-gram language models when used in automatic speech recognition ASR. Adapting RNNLMs to new domains is an open problem and current approaches can be categorised as either feature-based or model based. In...

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