Learning Empathy Through Virtual Reality: Multiple Strategies for Training Empathy-Related Abilities Using Body Ownership Illusions in Embodied Virtual Reality | Robotics and AI
Several disciplines have investigated the interconnected empathic abilities behind the proverb “to walk a mile in someone else’s shoes” to determine how the presence, and absence, of empathy-related phenomena affect prosocial behavior and intergroup relations. Empathy enables us to learn from others’ pain and to know when to offer support. Similarly, virtual reality (VR) appears to allow individuals to step into someone else’s shoes, through a perceptual illusion called embodiment, or the body ownership illusion. Considering these perspectives, we propose a theoretical analysis of different mechanisms of empathic practices in order to define a possible framework for the design of empathic training in VR. This is not intended to be an extensive review of all types of practices, but an exploration of empathy and empathy-related phenomena. Empathy-related training practices are analyzed and categorized. We also identify different variables used by pioneer studies in VR to promote empathy-related responses. Finally, we propose strategies for using embodied VR technology to train specific empathy-related abilities.
;import{g as i,s as o,r as s,e as a,a as u,h as l,b as c,i as h,t as f,c as d,d as p,f as m,j as g,k as y,l as b,K as v,_ as w,S as E,m as _,o as C,w as M,n as S,p as O,q as B,u as D,v as I,x as T,y as x,z as R,A as N,U as k,H as F,B as L,C as P,Y as U,D as j,E as q,F as z,G as $,I as V,J as H,L as W,M as G,N as K,O as Z,P as Y,Q as J,R as X,T as Q,V as AA,W as eA,X as tA,Z as rA,$ as nA,a0 as iA,a1 as oA,a2 as sA,a3 as aA,a4 as uA,a5 as lA,a6 as cA,a7 as hA,a8 as fA,a9 as dA,aa as pA,ab as mA,ac as gA,ad as yA,ae as bA,af as vA,ag as wA,ah as EA,ai as _A,aj as CA,ak as MA,al as SA,am as OA,an
Explore this link on the map →related reading
- Frontiers | Simulating Emotions: An Active Inference Model of Emotional State Inference and Emotion Concept Learningfrontiersin.org
- Frontiers | Principles and Practice of Explainable Machine Learningfrontiersin.org
- Frontiers | A Bayesian model for chronic painfrontiersin.org
- Parsed | Custom, interpretable AI systems that continuously learnparsed.com
- Frontiers | Recent advancements in multimodal human–robot interactionfrontiersin.org
- Frontiers | Why Harmless Sensations Might Hurt in Individuals with Chronic Pain: About Heightened Prediction and Perception of Pain in the Mindfrontiersin.org
- Frontiers | Technological Approach to Mind Everywhere: An Experimentally-Grounded Framework for Understanding Diverse Bodies and Mindsfrontiersin.org
- Frontiers | Teacher’s Perceptions of Using an Artificial Intelligence-Based Educational Tool for Scientific Writingfrontiersin.org
- Frontiers | An Outcomes-Based Framework for Integrating Academics With Student Life to Promote the Development of Undergraduate Students’ Non-cognitive Skillsfrontiersin.org
- Frontiers | Breastfeeding experiences and women's self-concept: Negotiations and dilemmas in the transition to motherhoodfrontiersin.org
- OpenAI Platformplatform.openai.com
- Frontiers | Preschool Children’s and Adults’ Expectations About Interpersonal Spacefrontiersin.org