UnrealHaptics: A Plugin-System for High Fidelity Haptic Rendering in the Unreal Engine

2018 ◽  
pp. 128-147 ◽  
Author(s):  
Marc O. Rüdel ◽  
Johannes Ganser ◽  
Rene Weller ◽  
Gabriel Zachmann
Keyword(s):  
Haptic Rendering ◽  
High Fidelity

High Fidelity Haptic Rendering

2006 ◽  
Vol 1 (1) ◽  
pp. 1-112 ◽  
Author(s):  
Miguel A. Otaduy ◽  
Ming C. Lin
Keyword(s):  
Haptic Rendering ◽  
High Fidelity

scholarly journals High Fidelity Haptic Rendering for Deformable Objects Undergoing Topology Changes

2010 ◽  
pp. 262-268 ◽  
Author(s):  
Hoeryong Jung ◽  
Stephane Cotin ◽  
Christian Duriez ◽  
Jeremie Allard ◽  
Doo Yong Lee
Keyword(s):  
Haptic Rendering ◽  
High Fidelity ◽  
Deformable Objects ◽  
Topology Changes

Using the Theory of Planned Behavior to Predict Faking in Selection Exercises Varying in Fidelity

2018 ◽  
Vol 17 (3) ◽  
pp. 155-160 ◽  
Author(s):  
Daniel Dürr ◽  
Ute-Christine Klehe
Keyword(s):  
Theory Of Planned Behavior ◽  
Planned Behavior ◽  
Predictive Validity ◽  
Group Discussion ◽  
Role Play ◽  
Selection Procedure ◽  
High Fidelity ◽  
Selection Research ◽  
Play Group

Abstract. Faking has been a concern in selection research for many years. Many studies have examined faking in questionnaires while far less is known about faking in selection exercises with higher fidelity. This study applies the theory of planned behavior (TPB; Ajzen, 1991 ) to low- (interviews) and high-fidelity (role play, group discussion) exercises, testing whether the TPB predicts reported faking behavior. Data from a mock selection procedure suggests that candidates do report to fake in low- and high-fidelity exercises. Additionally, the TPB showed good predictive validity for faking in a low-fidelity exercise, yet not for faking in high-fidelity exercises.

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