Dissertation Lmu Psychologie Sociale

Journal Articles

Chen, S., Glasauer, S., Müller, H.J. & Conci, M. (in press) Surface filling-in and contour interpolation contribute independently to Kanizsa figure formation. Journal of Experimental Psychology: Human Perception and Performance.

Zinchenko, A., Conci, M., Müller, H.J. & Geyer, T. (in press) Predictive visual search: role of environmental regularities in the learning of context cues. Attention, Perception & Psychophysics.

Chen, S., Töllner, T., Müller, H.J. & Conci, M. (2018) Object maintenance beyond their visible parts in working memory. Journal of Neurophysiology, 119(1), 347–355. [pdf]

Conci, M., Groß, J., Keller, I., Müller, H.J. & Finke, K. (2018) Attention as the 'glue' for object integration in parietal extinction. Cortex, 101, 60-72. [pdf]

Nie, Q.-Y., Ding, X., Chen, J. & Conci, M. (2018) Social attention directs working memory maintenance. Cognition, 171, 85-94. [pdf]

Annac, E., Conci, M., Müller, H.J. & Geyer, T. (2017) Local item density modulates adaptation of learned contextual cues. Visual Cognition, 25, 262-277. [pdf]

Nie, Q.-Y., Müller, H.J. & Conci, M. (2017) Hierarchical organization in visual working memory: From global ensemble to individual object structure. Cognition, 159, 85-96. [pdf]

Zang, X., Shi, Z., Müller, H.J. & Conci, M. (2017) Contextual cueing in 3D visual search depends on representations in planar-, not depth-defined space. Journal of Vision, 17(5):17, 1–11. [pdf][link]

Chen, S., Müller, H.J. & Conci, M. (2016) Amodal completion in visual working memory. Journal of Experimental Psychology: Human Perception and Performance, 42(9), 1344-1353. [pdf]

Gögler, N., Finke, K., Keller, I., Müller, H.J. & Conci, M. (2016) Object integration requires attention: Visual search for Kanizsa figures in parietal extinction. Neuropsychologia, 92, 42-50. [pdf]

Nie, Q.-Y., Maurer, M., Müller, H.J. & Conci, M. (2016) Inhibition drives configural superiority of illusory Gestalt: Combined behavioral and drift-diffusion model evidence. Cognition, 150, 150-162. [pdf]

Tang, X., Pang, J., Nie, Q.-Y., Conci, M., Luo, J. & Luo, J. (2016) Probing the cognitive mechanism of mental representational change during chunk decomposition: a parametric fMRI study. Cerebral Cortex, 26(7), 2991-2999. [pdf]

Töllner, T., Conci, M., Müller, H.J. & Mazza, V. (2016) Attending to multiple objects relies on both feature- and dimension-based control mechanisms: Evidence from human electrophysiology. Attention, Perception & Psychophysics, 78(7), 2079-2089. [pdf]

von Mühlenen, A. & Conci, M. (2016) The role of unique color changes and singletons in attention capture. Attention, Perception & Psychophysics, 78(7), 1926-1934. [pdf]

Sauseng, P., Conci, M., Wild, B. & Geyer, T. (2015) Predictive coding in visual search as revealed by cross-frequency EEG phase synchronisation. Frontiers in Psychology, 6: 1655. [pdf][link]

Töllner, T., Conci, M. & Müller, H.J. (2015) Predictive distractor context facilitates attentional selection of high, but not intermediate and low, salience targets. Human Brain Mapping, 36(3), 935-944. [pdf]

Wiegand, I., Finke, K., Töllner, T., Starman, K., Müller, H.J. & Conci, M. (2015) Age-related decline in global form suppression. Biological Psychology, 112, 116-124. [pdf]

Conci, M. & Müller, H.J. (2014) Global scene layout modulates contextual learning in change detection. Frontiers in Psychology, 5: 89. [pdf][link]

Zellin, M., von Mühlenen, A. Müller, H.J. & Conci, M. (2014) Long-term adaptation to change in implicit contextual learning. Psychonomic Bulletin & Review, 21(4), 1073-1079. [pdf]

Conci, M., Müller, H.J. & von Mühlenen, A. (2013) Object-based implicit learning in visual search: Perceptual segmentation constrains contextual cueing. Journal of Vision, 13(3):15, 1–17. [pdf][link]

Töllner, T., Conci, M., Rusch, T. & Müller, H.J. (2013) Selective manipulation of target identification demands in visual search: The role of stimulus contrast in CDA activations. Journal of Vision, 13(3):23, 1–13. [pdf][link]

Zellin, M., Conci, M., von Mühlenen, A. & Müller, H.J. (2013) Here today, gone tomorrow - adaptation to change in memory-guided visual search. PLoS One, 8(3): e59466. [pdf][link]

Zellin, M., von Mühlenen, A. Müller, H.J. & Conci, M. (2013) Statistical learning in the past modulates contextual cueing in the future. Journal of Vision, 13(3):19, 1–14. [pdf][link]

Conci, M. & Müller, H.J. (2012) Contextual learning of multiple target locations in visual search. Visual Cognition, 20(7), 746-770. [pdf]

Conci, M., Zellin, M. & Müller, H.J. (2012) Whatever after next? Adaptive predictions based on short- and long-term memory in visual search. Frontiers in Psychology, 3: 409. [pdf][link]

Conci, M. & von Mühlenen, A. (2011) Limitations of perceptual segmentation on contextual cueing in visual search. Visual Cognition, 19(2), 203-233. [pdf]

Conci, M., Sun, L. & Müller, H.J. (2011) Contextual remapping in visual search after predictable target-location changes. Psychological Research, 75(4), 279-289. [pdf]

Conci, M., Töllner, T., Leszczynski, M. & Müller, H.J. (2011) The time-course of global and local attentional guidance in Kanizsa-figure detection. Neuropsychologia, 49(9), 2456-2464. [pdf]

Zellin, M., Conci, M., von Mühlenen, A. & Müller, H.J. (2011) Two (or three) is one too many: Testing the flexibility of contextual cueing with multiple target locations. Attention, Perception & Psychophysics, 73(7), 2065-2076. [pdf]

Conci, M. & Müller, H.J. (2009) The 'beam of darkness': Spreading of the attentional blink within and between objects. Attention, Perception & Psychophysics, 71(8), 1725-1738. [pdf]

Conci, M. & von Mühlenen, A. (2009) Region segmentation and contextual cuing in visual search. Attention, Perception & Psychophysics, 71(7), 1514-1524. [pdf]

Conci, M., Böbel, E., Matthias, E., Keller, I., Müller, H.J. & Finke, K. (2009) Preattentive surface and contour grouping in Kanizsa figures: Evidence from parietal extinction. Neuropsychologia, 47(3), 726-732. [pdf]

Conci, M., Müller, H.J. & Elliott, M.A. (2009) The computation of shape orientation in search for Kanizsa figures. Perception, 38(2), 173-185. [pdf]

von Mühlenen, A. & Conci, M. (2009) Top-down influences on attentional capture by color changes. Psychological Research, 73(2), 244-253. [pdf]

Abu Bakar, A., Liu, L., Conci, M., Elliott, M.A. & Ioannides, A.A. (2008) Visual field and task influence illusory figure responses. Human Brain Mapping, 29(11), 1313-1326. [pdf]  [cover]

Conci, M., Müller, H.J. & Elliott, M.A. (2007) Closure of salient regions determines search for a collinear target configuration. Perception & Psychophysics, 69(1), 32-47. [pdf]

Conci, M., Müller, H.J. & Elliott, M.A. (2007) The contrasting impact of global and local object attributes on Kanizsa figure detection. Perception & Psychophysics, 69(8), 1278-1294. [pdf]

Conci, M., Gramann, K., Müller, H.J. & Elliott, M.A. (2006) Electrophysiological correlates of similarity-based interference during detection of visual forms. Journal of Cognitive Neuroscience, 18(6), 880-888. [pdf]

Conci, M., Elliott, M.A., Müller, H.J., Wendt, J. & Becker, C. (2004) The dynamics of operations in visual memory: A review and new evidence for oscillatory priming. Experimental Psychology, 51(4), 300-310. [pdf]

Elliott, M.A., Conci, M. & Müller H.J. (2003) Prefrontal cortex and the generation of oscillatory visual persistence. Behavioral and Brain Sciences, 26(6), 733-734. [pdf]


Conci, M. (2012) Temporale Dynamik von Objektgruppierungen in der visuellen Suche. Habilitation, LMU-München: Fakultät für Psychologie und Pädagogik.

Conci, M. (2005) Figural completion in visual search. Dissertation (PhD Thesis), LMU-München: Fakultät für Psychologie und Pädagogik.

Conci, M. (2002) A single-trial, independent-components decomposition of the multi-channel EEG response to oscillatory prime-target presentations. Diplomarbeit (Diploma Thesis), Universität Leipzig.

Conci, M. (1998) Effects of grouping and segmentation in visual search under conditions of asynchrony and synchrony. M.Sc. Thesis, University of Kent, Canterbury, UK.




This thesis investigates how differential human factors, such as demography and personality, are related to actual individual behavior. Within this broad context, this work addresses the prevailing lack of real behavior in the scientific field of psychology and differential-/social psychology in particular. Furthermore, this work provides an introduction to the practice of data-logging as a promising alternative to self-reports for the collection of behavioral data. Additionally, we introduce new data-analytical concepts from the field of machine learning in order to appropriately handle large and noisy datasets, such as technical logs. To illustrate these concepts we provide three empirical studies, using behavioral logging procedures. In the first study we report on data obtained in a virtual automotive driving simulation. Using these data, we demonstrate how individual driving patterns can be used to predict driver gender with high accuracy from basic automotive driving logs. Additionally, we provide information about the most important variables associated with male and female driving styles. Two additional studies utilize a specially designed Android application, to automatically collect behavioral user data in a privacy protecting manner from participants private smartphones. The second study describes how most stable mobile application usage on smartphones can be predicted from individual personality and demography scores and highlights implications for personality sensitive recommender systems. The third study demonstrates how individual personality can potentially be predicted, using a wide range of user interactions, with a machine learning approach. Finally, we discuss the reported results within the context of previous research and highlight possible implications of technological advancements for psychological science.

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