Modeling parallel and reactive empathy in virtual agents: an inductive approach

移情 情境伦理学 计算机科学 背景(考古学) 教练 认知 人机交互 认知心理学 虚拟机 形势意识 心理学 动作(物理) 社会心理学 工程类 古生物学 物理 量子力学 神经科学 生物 程序设计语言 航空航天工程 操作系统
作者
Scott McQuiggan,Jennifer L. Robison,Robert Phillips,James C. Lester
标识
DOI:10.5555/1402383.1402411
摘要

Humans continuously assess one another's situational context, modify their own affective state, and then respond based on these outcomes through empathetic expression. Virtual agents should be capable of similarly empathizing with users in interactive environments. A key challenge posed by empathetic reasoning in virtual agents is determining whether to respond with parallel or reactive empathy. Parallel refers to mere replication of another's affective state, whereas reactive exhibits greater cognitive awareness and may lead to incongruent emotional responses (i.e., emotions different from the recipient's and perhaps intended to alter negative affect). Because is not yet sufficiently well understood, it is unclear as to which type of is most effective and under what circumstances they should be applied. Devising empirically informed models of from observations of empathy in action may lead to virtual agents that can accurately respond in social situations.This paper proposes a unified inductive framework for modeling parallel and reactive empathy. First, in training sessions, a trainer guides a virtual agent through a series of problem-solving tasks in a learning environment and encounters empathetic characters. The proposed inductive architecture tracks situational data including actions, visited locations, intentions, and the trainer's physiological responses to generate models of empathy. Empathy models are used to drive runtime situation-appropriate empathetic behaviors by selecting suitable parallel or reactive empathetic expressions. An empirical evaluation of the approach in an interactive learning environment suggests that the induced models can accurately assess social contexts and generate appropriate empathetic responses for virtual agent control.

科研通智能强力驱动
Strongly Powered by AbleSci AI
更新
PDF的下载单位、IP信息已删除 (2025-6-4)

科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
1秒前
zhouxy发布了新的文献求助10
1秒前
量子星尘发布了新的文献求助10
1秒前
情怀应助Salt采纳,获得10
3秒前
Archy发布了新的文献求助10
5秒前
Orange应助sciN采纳,获得10
5秒前
李慧敏完成签到,获得积分20
6秒前
6秒前
Akim应助科研通管家采纳,获得10
9秒前
烟花应助科研通管家采纳,获得10
9秒前
wanci应助科研通管家采纳,获得10
10秒前
yar应助科研通管家采纳,获得10
10秒前
10秒前
10秒前
arabidopsis应助科研通管家采纳,获得10
10秒前
10秒前
王德霞完成签到,获得积分20
10秒前
zqqq发布了新的文献求助10
11秒前
精明的沅发布了新的文献求助10
14秒前
逝月完成签到,获得积分10
15秒前
16秒前
Lainey完成签到,获得积分10
16秒前
CUN完成签到,获得积分10
17秒前
zhouxy完成签到,获得积分20
17秒前
21秒前
onlyan发布了新的文献求助10
21秒前
独特冰安发布了新的文献求助10
21秒前
落后的凝梦完成签到 ,获得积分10
21秒前
22秒前
23秒前
独特冰安发布了新的文献求助10
26秒前
27秒前
独特元蝶完成签到,获得积分20
28秒前
yolo发布了新的文献求助10
28秒前
失眠无声发布了新的文献求助10
29秒前
独特元蝶发布了新的文献求助10
30秒前
lei029发布了新的文献求助10
31秒前
舒适静丹完成签到,获得积分10
32秒前
iris完成签到,获得积分10
32秒前
35秒前
高分求助中
A new approach to the extrapolation of accelerated life test data 1000
Picture Books with Same-sex Parented Families: Unintentional Censorship 700
ACSM’s Guidelines for Exercise Testing and Prescription, 12th edition 500
Nucleophilic substitution in azasydnone-modified dinitroanisoles 500
不知道标题是什么 500
Indomethacinのヒトにおける経皮吸収 400
Phylogenetic study of the order Polydesmida (Myriapoda: Diplopoda) 370
热门求助领域 (近24小时)
化学 材料科学 医学 生物 工程类 有机化学 生物化学 物理 内科学 纳米技术 计算机科学 化学工程 复合材料 遗传学 基因 物理化学 催化作用 冶金 细胞生物学 免疫学
热门帖子
关注 科研通微信公众号,转发送积分 3975378
求助须知:如何正确求助?哪些是违规求助? 3519775
关于积分的说明 11199621
捐赠科研通 3256067
什么是DOI,文献DOI怎么找? 1798124
邀请新用户注册赠送积分活动 877386
科研通“疑难数据库(出版商)”最低求助积分说明 806305