@article{Doerrenbaecher14_fronPsy,
title = {Dissociable effects of game elements on motivation and cognition in a task-switching training in middle childhood},
author = {Sandra Dörrenbächer and Philipp Müller and Johannes Tröger and Jutta Kray},
url = {http://www.ncbi.nlm.nih.gov/pmc/articles/PMC4230167/
https://perceptual.mpi-inf.mpg.de/files/2014/11/doerrenbaecher_fPsy14.pdf},
doi = {10.3389/fpsyg.2014.01275},
year = {2014},
date = {2014-11-13},
journal = {Frontiers in Psychology},
volume = {5},
number = {1275},
abstract = {Although motivational reinforcers are often used to enhance the attractiveness of trainings of cognitive control in children, little is known about how such motivational manipulations of the setting contribute to separate gains in motivation and cognitive-control performance. Here we provide a framework for systematically investigating the impact of a motivational video-game setting on the training motivation, the task performance, and the transfer success in a task-switching training in middle-aged children (8–11 years of age). We manipulated both the type of training (low-demanding/single-task training vs. high-demanding/task-switching training) as well as the motivational setting (low-motivational/without video-game elements vs. high-motivational/with video-game elements) separately from another. The results indicated that the addition of game elements to a training setting enhanced the intrinsic interest in task practice, independently of the cognitive demands placed by the training type. In the task-switching group, the high-motivational training setting led to an additional enhancement of task and switching performance during the training phase right from the outset. These motivation-induced benefits projected onto the switching performance in a switching situation different from the trained one (near-transfer measurement). However, in structurally dissimilar cognitive tasks (far-transfer measurement), the motivational gains only transferred to the response dynamics (speed of processing). Hence, the motivational setting clearly had a positive impact on the training motivation and on the paradigm-specific task-switching abilities; it did not, however, consistently generalize on broad cognitive processes. These findings shed new light on the conflation of motivation and cognition in childhood and may help to refine guidelines for designing adequate training interventions.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{Wentura14_PsyBull,
title = {Attentional capture by evaluative stimuli: Gain- and loss-connoting colors boost the additional-singleton effect},
author = {Dirk Wentura and Philipp Müller and Klaus Rothermund},
url = {http://link.springer.com/article/10.3758/s13423-013-0531-z},
doi = {10.3758/s13423-013-0531-z},
issn = {1069-9384},
year = {2014},
date = {2014-06-01},
journal = {Psychonomic Bulletin & Review},
volume = {21},
number = {3},
pages = {701-707},
abstract = {In a valence induction task, one color acquired positive valence by indicating the chance to win money (in the case of fast and correct responses), and a different color acquired negative valence by indicating the danger to lose money (in the case of slow or incorrect responses). In the additional-singleton trials of a visual search task, the task-irrelevant singleton color was either the positive one, the negative one, or one of two neutral colors. We found an additional-singleton effect (i.e., longer RTs with a singleton color than in the no-singleton control condition). This effect was significantly increased for the two valent colors (with no differences between them) relative to the two neutral colors (with no differences between them, either). This result favors the hypothesis that the general relevance of stimuli elicits attentional capture, rather than the negativity bias hypothesis.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{bulling14_csur,
title = {A Tutorial on Human Activity Recognition Using Body-worn Inertial Sensors},
author = { Andreas Bulling and Ulf Blanke and Bernt Schiele},
url = {https://github.com/andyknownasabu/ActRecTut
http://dx.doi.org/10.1145/2499621
https://perceptual.mpi-inf.mpg.de/files/2015/08/bulling14_csur.pdf},
year = {2014},
date = {2014-01-01},
journal = {ACM Computing Surveys},
volume = {46},
number = {3},
pages = {33:1-33:33},
abstract = {The last 20 years have seen an ever increasing research activity in the field of human activity recognition. With activity recognition having considerably matured so did the number of challenges in designing, implementing and evaluating activity recognition systems. This tutorial aims to provide a comprehensive hands-on introduction for newcomers to the field of human activity recognition. It specifically focuses on activity recognition using on-body inertial sensors. We first discuss the key research challenges that human activity recognition shares with general pattern recognition and identify those challenges that are specific to human activity recognition. We then describe the concept of an activity recognition chain (ARC) as a general-purpose framework for designing and evaluating activity recognition systems. We detail each component of the framework, provide references to related research and introduce the best practise methods developed by the activity recognition research community. We conclude with the educational example problem of recognising different hand gestures from inertial sensors attached to the upper and lower arm. We illustrate how each component of this framework can be implemented for this specific activity recognition problem and demonstrate how different implementations compare and how they impact overall recognition performance.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}

@article{bulling14_pcm,
title = {Cognition-Aware Computing},
author = { Andreas Bulling and Thorsten O. Zander},
url = {http://dx.doi.org/10.1109/mprv.2014.42
https://perceptual.mpi-inf.mpg.de/files/2014/10/bulling14_pervasive.pdf},
year = {2014},
date = {2014-01-01},
journal = {IEEE Pervasive Computing},
volume = {13},
number = {3},
pages = {80-83},
abstract = {Despite significant advances in context sensing and inference since its inception in the late 1990s, context-aware computing still doesn't implement a holistic view of all covert aspects of the user state. Here, the authors introduce the concept of cognitive context as an extension to the current notion of context with a cognitive dimension. They argue that visual behavior and brain activity are two promising sensing modalities for assessing the cognitive context and thus the development of cognition-aware computing systems.},
keywords = {},
pubstate = {published},
tppubtype = {article}
}