Emily S. Cross

ORCID: 0000-0002-1671-5698
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About
Contact & Profiles
Research Areas
  • Action Observation and Synchronization
  • Social Robot Interaction and HRI
  • Face Recognition and Perception
  • Aesthetic Perception and Analysis
  • Psychology of Moral and Emotional Judgment
  • Motor Control and Adaptation
  • Sport Psychology and Performance
  • Death Anxiety and Social Exclusion
  • Virtual Reality Applications and Impacts
  • Diversity and Impact of Dance
  • Language, Metaphor, and Cognition
  • Neuroscience and Music Perception
  • AI in Service Interactions
  • Child and Animal Learning Development
  • Neural and Behavioral Psychology Studies
  • Digital Mental Health Interventions
  • Creativity in Education and Neuroscience
  • Emotion and Mood Recognition
  • Art Education and Development
  • Functional Brain Connectivity Studies
  • Psychosomatic Disorders and Their Treatments
  • Social and Intergroup Psychology
  • Neural dynamics and brain function
  • Mental Health via Writing
  • Evolutionary Psychology and Human Behavior

University of Glasgow
2017-2025

ETH Zurich
2022-2025

University of Cambridge
2023-2025

Macquarie University
2020-2025

Western Sydney University
2021-2025

Cleveland Clinic Lerner College of Medicine
2023-2025

Laboratory for Social and Neural Systems Research
2024-2025

University of Zurich
2025

Immunologie-Zentrum Zürich
2025

Committee on Publication Ethics
2024

Human motor skills can be acquired by observation without the benefit of immediate physical practice. The current study tested if rehearsal and observational learning share common neural substrates within an action network (AON) including premotor inferior parietal regions, that is, areas activated both for execution similar actions. Participants trained 5 days on dance sequences set to music videos. Each day they physically rehearsed one (“danced”), passively watched a different...

10.1093/cercor/bhn083 article EN Cerebral Cortex 2008-05-30
Daniël Lakens Federico Adolfi Casper J. Albers Farid Anvari Matthew A J Apps and 83 more Shlomo Argamon Thom Baguley Raymond Becker Stephen D. Benning Daniel E. Bradford Erin Michelle Buchanan Aaron R. Caldwell Ben Van Calster Rickard Carlsson Sau-Chin Chen Bryan Chung Lincoln Colling Gary S. Collins Zander Crook Emily S. Cross Sameera Daniels Henrik Danielsson Lisa M. DeBruine Daniel J. Dunleavy Brian D. Earp Michele I. Feist Jason D. Ferrell James G. Field Nicholas W. Fox Amanda Friesen Caio Gomes Mónica González-Márquez James A. Grange Andrew P. Grieve Robert Guggenberger James T. Grist Anne‐Laura van Harmelen Fred Hasselman Kevin D. Hochard Mark R. Hoffarth Nicholas P. Holmes Michael Ingre Peder Mortvedt Isager Hanna K. Isotalus Christer Johansson Konrad Juszczyk David A. Kenny Ahmed A. Khalil Barbara Konat Junpeng Lao Erik Gahner Larsen Gerine M. A. Lodder Jiří Lukavský Christopher R. Madan David Manheim Stephen R. Martin Andrea E. Martin Deborah G. Mayo Randy J. McCarthy Kevin McConway Colin McFarland Amanda Q. X. Nio Gustav Nilsonne Cilene Lino de Oliveira Jean‐Jacques Orban de Xivry Sam Parsons Gerit Pfuhl Kimberly A. Quinn John J. Sakon S. Adil Sarıbay Iris K. Schneider Manojkumar Selvaraju Zsuzsika Sjoerds Samuel G. Smith Tim Smits Jeffrey R. Spies Vishnu Sreekumar Crystal N. Steltenpohl Neil Stenhouse Wojciech Świątkowski Miguel A. Vadillo Marcel A. L. M. van Assen Matt N Williams Samantha E. Williams Donald R. Williams Tal Yarkoni Ignazio Ziano Rolf A. Zwaan

10.1038/s41562-018-0311-x article EN Nature Human Behaviour 2018-02-26

Speech dereverberation is a signal processing technique of key importance for successful hands-free speech acquisition in applications telecommunications and automatic recognition. Over the last few years, has become hot research topic driven by consumer demand, availability terminals based on Skype which encourage operation development promising algorithms. Dereverberation gathers together an overview, mathematical formulation problem state-of-the-art solutions dereverberation. presents...

10.3397/1.3532780 article EN Noise Control Engineering Journal 2011-01-01

Abstract As humans, we gather a wide range of information about other people from watching them move. A network parietal, premotor, and occipitotemporal regions within the human brain, termed action observation (AON), has been implicated in understanding others' actions by means an automatic matching process that links observed performed actions. Current views AON assume biased towards familiar actions; specifically, those conspecifics present observer's motor repertoire. In this study, test...

10.1002/hbm.21361 article EN Human Brain Mapping 2011-09-06

ORIGINAL RESEARCH article Front. Hum. Neurosci., 21 September 2011Sec. Cognitive Neuroscience volume 5 - 2011 | https://doi.org/10.3389/fnhum.2011.00102

10.3389/fnhum.2011.00102 article FR cc-by Frontiers in Human Neuroscience 2011-01-01

When individuals acquire new skills, initial performance is typically better and tasks are judged to be easier when the segregated practiced by block, compared different randomly intermixed in practice. However, subsequent skill retention for a group, an effect known as contextual interference (CI). The present study examined neural substrates of CI using functional magnetic resonance imaging (fMRI). Individuals learned set three 4-element sequences with left hand according block or random...

10.1162/jocn.2007.19.11.1854 article EN Journal of Cognitive Neuroscience 2007-10-24

Amidst the fourth industrial revolution, social robots are resolutely moving from fiction to reality. With sophisticated artificial agents becoming ever more ubiquitous in daily life, researchers across different fields grappling with questions concerning how humans perceive and interact these extent which human brain incorporates intelligent machines into our milieu. This theme issue surveys discusses latest findings, current challenges future directions neuroscience- psychology-inspired...

10.1098/rstb.2018.0024 article EN Philosophical Transactions of the Royal Society B Biological Sciences 2019-03-11

Given recent technological developments in robotics, artificial intelligence, and virtual reality, it is perhaps unsurprising that the arrival of emotionally expressive reactive agents imminent. However, if such are to become integrated into our social milieu, imperative establish an understanding whether how humans perceive emotion agents. In this review, we incorporate findings from psychology, neuroscience examine people recognize respond emotions displayed by First, review expressed...

10.1109/tcds.2018.2826921 article EN cc-by IEEE Transactions on Cognitive and Developmental Systems 2018-04-19

Abstract Observation of human actions recruits a well‐defined network brain regions, yet the purpose this action observation (AON) remains under debate. Some authors contend that has developed to respond specifically actions. Conversely, others suggest responds in similar manner prompted by and non‐human cues, one’s familiarity with is critical factor drives network. Previous studies investigating cues often confound novelty stimulus form. Here, we used dance‐learning paradigm assess AON...

10.1111/j.1460-9568.2009.06941.x article EN European Journal of Neuroscience 2009-09-29

Abstract Robotic agents designed to assist people across a variety of social and service settings are becoming increasingly prevalent the world. Here we synthesise two decades empirical evidence from human–robot interaction (HRI) research focus on cultural influences expectations towards responses robots, as well utility robots displaying culturally specific cues for improving human engagement. Findings suggest complex intricate relationships between culture cognition in context HRI. The...

10.1007/s12369-020-00710-4 article EN cc-by International Journal of Social Robotics 2020-11-11

When watching another person's actions, a network of sensorimotor brain regions, collectively termed the action observation (AON), is engaged. Previous research suggests that AON more responsive when familiar compared with unfamiliar actions. However, most into function premised on comparisons engagement during different types task using univariate, magnitude-based approaches. To better understand relationship between familiarity and engagement, here we examine how observed movement...

10.1523/jneurosci.2942-14.2015 article EN cc-by-nc-sa Journal of Neuroscience 2015-01-28

Throughout history, dance has maintained a critical presence across all human cultures, defying barriers of class, race, and status. How synergistically co-evolved with humans fueled rich debate on the function art essence aesthetic experience, engaging numerous artists, historians, philosophers, scientists. While shares many features other forms, one attribute unique to is that it most commonly expressed body. Because this, social scientists neuroscientists are turning dancers help answer...

10.1007/s11097-010-9190-y article EN cc-by-nc Phenomenology and the Cognitive Sciences 2011-01-04

Although robots are becoming an ever-growing presence in society, we do not hold the same expectations for as humans, nor treat them same. As such, ability to recognize cues human animacy is fundamental guiding social interactions. We review literature that demonstrates cortical networks associated with person perception, action observation and mentalizing sensitive information. In addition, show most prior research has explored stimulus properties of artificial agents (humanness appearance...

10.1098/rstb.2015.0075 article EN cc-by Philosophical Transactions of the Royal Society B Biological Sciences 2015-12-08

Humans automatically imitate other people's actions during social interactions, building rapport and closeness in the process. Although behavioral consequences neural correlates of imitation have been studied extensively, little is known about mechanisms that control imitative tendencies. For example, degree to which an agent perceived as human-like influences automatic imitation, but it not how perception animacy brain circuits imitation. In current fMRI study, we examined belief influence...

10.1162/jocn_a_00651 article EN Journal of Cognitive Neuroscience 2014-04-17

Generating predictions during action observation is essential for efficient navigation through our social environment. With age, the sensitivity in prediction declines. In younger adults, network (AON), consisting of premotor, parietal and occipitotemporal cortices, has been implicated transforming executed observed actions into a common code. Much less known about age-related changes neural representation actions. Using fMRI, present study measured brain activity older adults temporarily...

10.1371/journal.pone.0064195 article EN cc-by PLoS ONE 2013-05-21
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