Citation: Maestas G, Hu J, Trevino J, Chunduru P, Kim S-J and Lee H (2018) Walking Speed Influences the Effects of Implicit Visual Feedback Distortion on Modulation of Gait Symmetry. Front. Hum. Neurosci. 12:114. doi: 10.3389/fnhum.2018.00114 The use of visual feedback in gait rehabilitation has been suggested to promote recovery of locomotor function by incorporating interactive visual compone...

This paper describes an approach to exploit the implicit user feedback gathered during interactive video retrieval tasks. We propose a framework, where the video is first indexed according to temporal, textual, and visual features and then implicit user feedback analysis is realized using a graph-based methodology. The generated graph encodes the semantic relations between video segments based ...

this study investigates the effect of four types of oral corrective feedback, namely, explicit elicitation, implicit elicitation, explicit recast and implicit recast on the most commonly mispronounced phonological features among iranian efl learners through immediate uptake and retention. five classes were randomly categorized into four experimental groups and one control group, each with 18 in...

We describe the results of several experiments with interactive interfaces for native and L2 English students, designed to collect implicit feedback from students as they complete a reading activity. In this study, implicit means that all data is obtained without asking the user for feedback. To test the value of implicit feedback for assessing student proficiency, we collect features of user b...

Many recommendation tasks are formulated as top-N item recommendation problems based on users’ implicit feedback instead of explicit feedback. Here explicit feedback refers to users’ ratings to items while implicit feedback is derived from users’ interactions with items, e.g., number of times a user plays a song. In this paper, we propose a boosting algorithm named AdaBPR (Adaptive Boosting Per...

In this paper, we present our work in progress towards employing complex user feedback and its context in recommender systems. Our work is generally focused on small or medium-sized e-commerce portals. Due to the nature of such enterprises, explicit feedback is unavailable, but implicit feedback can be collected in both large amount and rich variety. However, some perceived values of implicit f...

Learning nonnative speech contrasts in adulthood has proven difficult. Standard training methods have achieved moderate effects using explicit instructions and performance feedback. In this study, we question preexisting assumptions by demonstrating a superiority of implicit training procedures. We trained three groups of Greek adults on a difficult Hindi contrast (a) explicitly, with feedback ...

Learning nonnative speech contrasts in adulthood has proven difficult. Standard training methods have achieved moderate effects using explicit instructions and performance feedback. In this study, the authors question preexisting assumptions by demonstrating a superiority of implicit training procedures. They trained 3 groups of Greek adults on a difficult Hindi contrast (a) explicitly, with fe...

Collaborative filtering with implicit feedback data involves recommender system techniques for analyzing relationships betweens users and items using implicit signals such as click through data or music streaming play counts to provide users with personalized recommendations. This is in contrast to collaborative filtering with explicit feedback data which aims to model these relationships using...

Albeit the implicit feedback based recommendation problem— when only the user history is available but there are no ratings—is the most typical setting in real-world applications, it is much less researched than the explicit feedback case. State-of-the-art algorithms that are efficient on the explicit case cannot be straightforwardly transformed to the implicit case if scalability should be mai...