Digital Human Modeling. Applications in Health, Safety, Ergonomics and Risk Management: Ergonomics and Health

The two-volume set LNCS 9184-9185 constitutes the constitutes the refereed proceedings of the 6th International Conference on Digital Human Modeling and Applications in Health, Safety, Ergonomics and Risk Management 2015, held as part of the 17th International Conference on Human-Computer Interaction, HCII 2015, held in Los Angeles, CA, USA, in August 2015. The total of 1462 papers and 246 posters presented at the HCII 2015 conferences was carefully reviewed and selected from 4843 submissions. These papers address the latest research and development efforts and highlight the human aspects of design and use of computing systems. The papers thoroughly cover the entire field of human-computer interaction, addressing major advances in knowledge and effective use of computers in a variety of application areas. The total of 96 contributions included in the DHM proceedings were carefully reviewed and selected for inclusion in this two-volume set. The 52 papers included in this volume are organized in the following topical sections: anthropometry and ergonomics; motion modeling and tracking; human modeling in transport and aviation; human modeling in medicine and surgery; quality in healthcare

[1]  H. Bekkering,et al.  Joint action: bodies and minds moving together , 2006, Trends in Cognitive Sciences.

[2]  D. Wegner,et al.  On the inference of personal authorship: Enhancing experienced agency by priming effect information , 2005, Consciousness and Cognition.

[3]  M. Jeannerod,et al.  Defective recognition of one's own actions in patients with schizophrenia. , 2001, The American journal of psychiatry.

[4]  Noriko Hayakawa,et al.  Characterization of Furunori (Aged Paste) and Preparation of a Polysaccharide Similar to Furunori , 2007 .

[5]  S. Blakemore,et al.  Motor activation prior to observation of a predicted movement , 2004, Nature Neuroscience.

[6]  Bruno Berberian,et al.  Data Transmission Latency and Sense of Control , 2013, HCI.

[7]  Jean-Paul Gauthier,et al.  The Inactivation Principle: Mathematical Solutions Minimizing the Absolute Work and Biological Implications for the Planning of Arm Movements , 2008, PLoS Comput. Biol..

[8]  Armin Biess,et al.  A Computational Model for Redundant Human Three-Dimensional Pointing Movements: Integration of Independent Spatial and Temporal Motor Plans Simplifies Movement Dynamics , 2007, The Journal of Neuroscience.

[9]  Gentiane Venture,et al.  Human arm optimal motion analysis in industrial screwing task , 2014, 5th IEEE RAS/EMBS International Conference on Biomedical Robotics and Biomechatronics.

[10]  Wolfgang Prinz,et al.  Action, binding and awareness , 2002 .

[11]  B. Freriks,et al.  Development of recommendations for SEMG sensors and sensor placement procedures. , 2000, Journal of electromyography and kinesiology : official journal of the International Society of Electrophysiological Kinesiology.

[12]  Cong Wang,et al.  Data clustering using bacterial foraging optimization , 2011, Journal of Intelligent Information Systems.

[13]  Marc Jeannerod,et al.  Modulating the experience of agency: a positron emission tomography study , 2003, NeuroImage.

[14]  Cordula Vesper,et al.  Making oneself predictable: reduced temporal variability facilitates joint action coordination , 2011, Experimental Brain Research.

[15]  A. M. Natarajan,et al.  A New Approach for Data Clustering Based on PSO with Local Search , 2008, Comput. Inf. Sci..

[16]  D. Wegner,et al.  Apparent mental causation. Sources of the experience of will. , 1999, The American psychologist.

[17]  E. Langer,et al.  Heads I win, tails it's chance: The illusion of control as a function of the sequence of outcomes in a purely chance task. , 1975 .

[18]  M. Jeannerod,et al.  Looking for the agent: an investigation into consciousness of action and self-consciousness in schizophrenic patients , 1997, Cognition.

[19]  P. Haggard,et al.  Exploring implicit and explicit aspects of sense of agency , 2012, Consciousness and Cognition.

[20]  Dao-Qiang Zhang,et al.  A novel kernelized fuzzy C-means algorithm with application in medical image segmentation , 2004, Artif. Intell. Medicine.

[21]  Denis Mottet,et al.  Informational constraints in human precision aiming , 2002, Neuroscience Letters.

[22]  A. Newen,et al.  Beyond the comparator model: A multifactorial two-step account of agency , 2008, Consciousness and Cognition.

[23]  Emmanuel Guigon,et al.  Computational Motor Control : Redundancy and Invariance , 2007 .

[24]  Michael Ulbrich,et al.  A bilevel optimization approach to obtain optimal cost functions for human arm movements , 2012 .

[25]  D. Wolpert,et al.  Spatio-Temporal Prediction Modulates the Perception of Self-Produced Stimuli , 1999, Journal of Cognitive Neuroscience.

[26]  D. Wegner,et al.  Modulating the sense of agency with external cues , 2009, Consciousness and Cognition.

[27]  Robin R. Vallacher,et al.  A Theory Of Action Identification , 1985 .

[28]  Bryan Buchholz,et al.  ISB recommendation on definitions of joint coordinate systems of various joints for the reporting of human joint motion--Part II: shoulder, elbow, wrist and hand. , 2005, Journal of biomechanics.

[29]  Ujjwal Maulik,et al.  Genetic algorithm-based clustering technique , 2000, Pattern Recognit..

[30]  Witold Pedrycz,et al.  Kernel-based fuzzy clustering and fuzzy clustering: A comparative experimental study , 2010, Fuzzy Sets Syst..

[31]  Karl Verfaillie,et al.  Representing and anticipating human actions in vision , 2002 .

[32]  Peter Carruthers,et al.  The illusion of conscious will , 2007, Synthese.

[33]  Zhiwei Luo,et al.  Optimal trajectory formation of constrained human arm reaching movements , 2004, Biological Cybernetics.

[34]  Natalie Sebanz,et al.  Beyond simulation? Neural mechanisms for predicting the actions of others , 2004, Nature Neuroscience.

[35]  B. Sparrow,et al.  Vicarious agency: experiencing control over the movements of others. , 2004, Journal of personality and social psychology.

[36]  P. Haggard,et al.  Automation Technology and Sense of Control: A Window on Human Agency , 2012, PloS one.

[37]  A. D. Jones,et al.  Obedience to Authority , 1974 .

[38]  Elisabeth Pacherie,et al.  The Phenomenology of Joint Action: Self-Agency vs. Joint-Agency , 2012 .

[39]  M. Jeannerod,et al.  Beyond Consciousness of External Reality: A “Who” System for Consciousness of Action and Self-Consciousness , 1998, Consciousness and Cognition.

[40]  D. Burke,et al.  Does the nervous system depend on kinesthetic information to control natural limb movements , 1992 .

[41]  D. Wegner The mind's best trick: how we experience conscious will , 2003, Trends in Cognitive Sciences.

[42]  Rieko Osu,et al.  Quantitative examinations for multi joint arm trajectory planning--using a robust calculation algorithm of the minimum commanded torque change trajectory , 2001, Neural Networks.

[43]  P. Haggard,et al.  Voluntary action and conscious awareness , 2002, Nature Neuroscience.

[44]  C. Frith,et al.  Self-awareness and action , 2003, Current Opinion in Neurobiology.

[45]  P. Haggard,et al.  The rubber hand illusion revisited: visuotactile integration and self-attribution. , 2005, Journal of experimental psychology. Human perception and performance.