Environment and Human Behaviors——Taking “The Acorn Gatherer” as a Case Study

Human living environment interacts with human behaviors.Environment to some degree determines human behaviors which in return reshape and sustain the dynamic environment.Taking Richard Jefferies' The Acorn Gatherer as a case study,this paper makes an argument that the behaviors of the villagers in the story can be more adequately interpreted in view of the backward countryside environment,and the same is true with the author Richard Jefferies' non-interference in the omniscient third-person point of view in writing the story.It is Richard Jefferies' family environment that makes up his viewpoint of writing,reflecting his critical loving of the countryside,where lives boom and conventions are extremely followed.

A holistic framework for facilitating environmental and human health

In the Anthropocene,health is necessary to achieve global sustainable development.This is a challenge because health issues are complex and span from humans to ecosystems and the environment through dynamic interac-tions across scales.We find that the health issues have been mainly addressed by disciplinary endeavors which unfortunately will not result in panoramic theories or effective solutions.We recommend focusing on the intri-cate interactions between humans,ecosystems and the environment for developing common theoretical under-standings and practical solutions for safeguarding planetary health,with human health as the key indicator and endpoint.To facilitate this paradigm shift,a holistic framework is formulated that incorporates disturbances from inner Earth and our solar system,and accommodates interactions between humans,ecosystems and the environ-ment in a nested hierarchy.An integrative and transdisciplinary health science is advocated along with holistic thinking to resolve our current health challenges and to achieve the health-related sustainable development goals.

A Facial Expression Emotion Recognition Based Human-robot Interaction System

A facial expression emotion recognition based human-robot interaction(FEER-HRI) system is proposed, for which a four-layer system framework is designed. The FEERHRI system enables the robots not only to recognize human emotions, but also to generate facial expression for adapting to human emotions. A facial emotion recognition method based on2D-Gabor, uniform local binary pattern(LBP) operator, and multiclass extreme learning machine(ELM) classifier is presented,which is applied to real-time facial expression recognition for robots. Facial expressions of robots are represented by simple cartoon symbols and displayed by a LED screen equipped in the robots, which can be easily understood by human. Four scenarios,i.e., guiding, entertainment, home service and scene simulation are performed in the human-robot interaction experiment, in which smooth communication is realized by facial expression recognition of humans and facial expression generation of robots within 2 seconds. As a few prospective applications, the FEERHRI system can be applied in home service, smart home, safe driving, and so on.

VR and AR in human performance research―An NUS experience

With the mindset of constant improvement in efficiency and safety in the workspace and training in Singapore,there is a need to explore varying technologies and their capabilities to fulfil this need.The ability of Virtual Reality(VR)and Augmented Reality(AR)to create an immersive experience of tying the virtual and physical environments coupled with information filtering capabilities brings a possibility of introducing this technology into the training process and workspace.This paper surveys current research trends,findings and limitation of VR and AR in its effect on human performance,specifically in Singapore,and our experience in the National University of Singapore(NUS).

Empathic Responses of Behavioral-Synchronization in Human-Agent Interaction

Artificial entities,such as virtual agents,have become more pervasive.Their long-term presence among humans requires the virtual agent’s ability to express appropriate emotions to elicit the necessary empathy from the users.Affective empathy involves behavioral mimicry,a synchronized co-movement between dyadic pairs.However,the characteristics of such synchrony between humans and virtual agents remain unclear in empathic interactions.Our study evaluates the participant’s behavioral synchronization when a virtual agent exhibits an emotional expression congruent with the emotional context through facial expressions,behavioral gestures,and voice.Participants viewed an emotion-eliciting video stimulus(negative or positive)with a virtual agent.The participants then conversed with the virtual agent about the video,such as how the participant felt about the content.The virtual agent expressed emotions congruent with the video or neutral emotion during the dialog.The participants’facial expressions,such as the facial expressive intensity and facial muscle movement,were measured during the dialog using a camera.The results showed the participants’significant behavioral synchronization(i.e.,cosine similarity≥.05)in both the negative and positive emotion conditions,evident in the participant’s facial mimicry with the virtual agent.Additionally,the participants’facial expressions,both movement and intensity,were significantly stronger in the emotional virtual agent than in the neutral virtual agent.In particular,we found that the facial muscle intensity of AU45(Blink)is an effective index to assess the participant’s synchronization that differs by the individual’s empathic capability(low,mid,high).Based on the results,we suggest an appraisal criterion to provide empirical conditions to validate empathic interaction based on the facial expression measures.

Paleo-environmental changes in the Yangtze Delta during past8000 years

The Yangtze Delta is one of the economically most developed areas in China. It is located in the eastern China monsoon region. Archaeological excavations and environment-archaeology studies over many years in this region provide exceptional information about climate changes, development of human civilization and also human-environment interactions. Archaeological excavations made in the study region reveal that the development of Neolithic cultures is not continuous, which may be a result of extreme climatic events. The analysis of 14 C-dated buried paleotrees, peat and shell ridges show the rise and fall of human civilization in the study area. The research results presented in this paper confirm that human civilization collapsed six times in the Yangtze Delta, matching six high sea level epoches, peat accumulation and buried paleotrees formation periods respectively. This indicates that human activities in the Yangtze Delta are controlled by local climate changes and changing hydrological conditions. The collapse of the Liangzhu culture (5000 aBP-3800 aBP) in about 4000 aBP, after a tremendous flooding event, followed by a relatively backward Maqiao culture (3800 aBP-3200 aBP) confused researchers and aroused their great interest. The research results in this paper show that the collapse of the Liangzhu culture is a result of several factors, for example war and food shortage, but the flooding event occurred in the late Liangzhu culture epoch is the main factor therein.

Empathizing with Emotional Robot Based on Cognition Reappraisal

This paper proposes a continuous cognitive emotional regulation model for robot in the case of external emotional stimulus from interactive person's expressions. It integrates a guiding cognitive reappraisal strategy into the HMM(Hidden Markov Model) emotional interactive model for empathizing between robot and person. The emotion is considered as a source in the 3D space(Arousal, Valence, and Stance). State transition and emotion intensity can be quantitatively analyzed in the continuous space. This cognition-emotion interactive model have been verified by the expression and behavior robot. Empathizing is the main distinguishing feature of our work, and it is realized by the emotional regulation which operated in a continuous 3D emotional space enabling a wide range of intermediate emotions. The experiment results provide evidence with acceptability, accuracy, richness, fluency, interestingness, friendliness and exaggeration that the robot with cognition and emotional control ability could be better accepted in the human-robot interaction(HRI).

城市人居环境与人口迁移互动效应研究

本文借鉴人类发展指数的构建方法,基于移民福祉角度,从经济环境、公共服务、居住环境、制度环境和城市现代化5个方面重新评估城市人居环境质量,并利用2期人口迁移数据,对中国279个地级市的人居环境进行互动效应分析,探索城市人居环境与人口迁移之间的动态响应机制。研究发现:(1)样本考察期内,中国城市人居环境有一定改善,城市建设水平差距缩小,空间上呈现出“东高西低”特征,中心城市集聚效应明显,东部地区城市出现“俱乐部趋同”现象,中西部内陆地区陷入“低值陷阱”。(2)全国人口净迁移格局呈现出“中间低、周围高”的凹形空间特征,迁移人口主要分布在人口规模超过500万人的特大和超大城市,但迁移人口增长主要动力点是中小规模城市。(3)城市人居环境的改善对提高人口迁移流动具有积极效应,经济发展差异和社会融合水平是引发人口迁移规模空间差异的核心因素,生活舒适性逐渐成为驱动人口迁移的重要来源,在省级尺度上各驱动要素体现出空间异质性。(4)人口迁移规模尚不足以成为城市人居环境变化的稳定主导因素之一。据此提出以增进福祉为要义的城市人居环境建设应适配于新发展阶段人口特征变化以推进新型城镇化高质量发展。

教师课堂情绪对高职学生学业成就的影响机制——基于扎根理论的探索性研究

在高职教育质量提升的关键时期,学生学业成就成为衡量教育成效的核心指标。本研究聚焦于高职院校教师课堂情绪对学生学业成就的影响机制,采用扎根理论进行深入探讨。研究发现,教师与学生之间的积极情绪互动不仅能够促进良好的师生关系,还能直接影响学生的学习态度、技能、动机和学习投入,从而对学生的学业成就产生积极影响。因此,建议在教学实践中注重培养积极的情感互动,并营造支持性的师生关系,这对于提升学生的学业表现至关重要。

基于依存句法分析的智能人机交互产品用户体验研究

智能人机交互产品因其交互自然化而备受关注,其用户体验研究尤为重要。现有对该类产品的用户体验研究聚焦于用户行为信息分析,而从在线评论中挖掘用户体验特征则是较新方向。基于依存句法分析和产品特征词库,通过人工设定提取规则从评论中提取产品特征和与之搭配的用户情感观点,并采用情感计算量化观点以获得用户体验特征。以智能屏产品为例展开研究,结果表明所提方法能解决产品特征和情感观点无法同步提取的问题,同时发现用户对产品的智能语音交互具有较高偏好程度,而对智能功能则满意度不足。根据结果针对产品的智能系统、外观及硬件配置等提出优化设计建议。

基于维度情绪模型的智能化灯光交互镜面装置设计研究

探究智能家居场景中用户情绪与灯光效果的情感化交互设计方法。基于维度情绪模型,解析用户情绪对灯光色彩、灯光动态变化的偏好;基于深度学习技术,建立多模态情绪识别与维度情绪表示方法;通过设计智能化灯光交互镜面装置,实现用户情绪与灯光色彩、灯光动态变化的创新交互方式。构建了情感化的灯光交互设计方案,实现了一种实时对用户情绪做出反馈的智能化灯光交互镜面装置。提出了情绪识别与情感化灯光交互的设计方法,可以为情感化的智能家居产品设计提供实践经验与思路,展开情感化交互设计探索的新视角。

基于隐蔽手势交互技术的弹群指挥控制方法

针对城市作战场景下,班排作战小组协同无人装备遂行作战任务时信息传递的隐蔽式需求,提出了一种基于表面肌电信号的隐蔽手势交互方法,并通过弹群指挥控制仿真应用实验进行了验证。开发了表面肌电信号离线和在线采集系统,提出了一种基于卷积神经网络的端到端表面肌电信号分类算法,进而形成了隐蔽手势交互范式。在此基础上,依托仿真环境构建了巡飞弹指挥控制系统,并招募了5名被试开展实验,实验结果表明,基于肌电信号的隐蔽手势交互技术在提高信息传递隐蔽性的同时,也保证了信息交互的准确性,对于提升城市作战场景下班排小组协同无人装备作战的能力具有积极意义。

基于动作意图理解的人机情感化体验设计研究

为有效增进人与机器人在状态理解、动作预测和相互回应过程中的情感体验。基于动作意图理解等相关理论文献研究,结合设计应用实践,探索性提出,从感知模仿层、行为控制层、体验构建层3个层次框架下,通过肢体与表情动作等信息设计来促进动作意图理解,以期构建良好的人机情感互动关系。经实例应用和Psycho Py数据测试,结果显示(p<0.5)差异具有统计学意义。研究能有效促进人机之间的情感理解和传情绪递;对于人机情感互动体具有指导意义。

年轻人情绪-日常步态关系探究

目的探究情绪和日常步态之间的关系,并考虑任务类型和个体差异对情绪-步态表现关系的影响。方法使用智能手机和相机等普及设备,在实验室环境中测量特定情绪下年轻人步行时的加速度步态和图像姿势参数,并在日常环境中验证基于步态的情绪评估系统的适用性。结果高唤醒情绪有较大的步频、加速度均方根、步速和较低的平均每步时间;低唤醒情绪有较低的步频、加速度均方根、步速和较大的平均每步时间。任务类型对情绪-步态表现关系的影响与情绪的唤醒程度相关。结论本研究建立了基于步态的情绪评估系统,为情绪的日常化识别、个体情绪的自我监测和管理提供了理论依据。

声起数字人:有声阅读中的人机互动、情感依恋与可能关切

信息传播技术革新发展塑造人类社会数字交往新范式,推动数字人新形态迈入文旅消费新领域。基于对数字人有声阅读内容生产技术机理与人机互动特征及其机制的考察,可以发现,处于人机关系中的数字人有声阅读在声景沉浸中建构了从“人机互动”到“人机情感互动”再到“人机情感依恋”的互动程式。而与此同时,数字化隐忧也随之生成。应提高对数字对象依恋、虚拟伴读依赖、碎片阅读沉溺和粉丝文化泥淖等问题关注和应对的程度,构建健康的人机关系,从而使数字人有声阅读抵达信息内容服务、知识传习和文化传播的本质要义。

脑电情绪识别研究现状及展望

脑电的研究正在不断突破并取得成果,在情绪识别领域,包含脑电信号采集、数据预处理、提取时频特征、构建脑网络特征和分类识别等步骤。本文综述了脑电特征计算方法的现状,脑电情绪识别的步骤、方法,归纳总结了应用方式并对今后的发展进行展望。脑电情绪识别的应用展现出巨大的潜力,如心理健康评估、情绪感知计算和人机交互。随着机器学习和人工智能的进步,以及脑电图信号处理的改进,有望进一步提高基于脑电图的情绪识别的准确性和可靠性。本文对脑电情绪识别特征计算方法,情绪识别的步骤和临床应用方面的具体事例进行了阐述,并对未来的方向进行了展望,对于研究人员系统地了解脑电情绪识别具有积极意义。

以新店子墓地殉牲为中心的动物资源利用研究

殉牲是北方牧业人群典型的葬俗特征,殉牲的种类、数量与各地区生态环境和经济生产方式有着密不可分的关系。本文以新店子墓地殉牲动物为研究对象,通过分析殉牲动物的畜群构成特点、年龄和性别结构,结合民族学和现今畜牧业生产方式,认为新店子人群对动物资源的利用具有多样性,主要以获取肉食资源为主,并最大限度地获取乳奶和皮毛资源。针对牧业人群动物资源利用的研究对探究游牧经济生产模式和人地关系具有重要意义。

风景园林美感探究——景的人境感应机制与景境回路设计原理

围绕风景园林美感的研究对象、个体与群体、文化与科学、误区与症结、研究战略、如何创新突破等问题,以“景”为主线,揭示风景园林美感成因与机制的流变性,构建景境回路设计原理。分别从哲学、人居环境学、风景园林学三方面展开,构建景的“人-境互动”模型,剖析景作为风景园林美感的源头、成因、机制作用,揭示景的“人-境互动”流变机制。为此,分析论述了景与园、与意境的关系,提出“经”的概念。进一步阐明了建筑学非生命美学与风景园林生命美学的根本差别及因偏离了基于生命美学的风景园林美学分析评价的基本方向性误导,主张以风景园林的过程动态感受主导风景园林美感评价,指出流变性这一风景园林美感美学的内在属性,提出以“景流”作为评价风景园林美感的准则和标准,并为风景园林美感流变理论奠定基础。具体成果如下:1)提出了“风景园林美感流变理论”雏形;2)发展中国传统八景理论,提出了主观、客观、主客观结合的“3类八景”24位元素及其8条风景园林美感规划设计的流变线索;3)基于美感流变理论,构建了由回路、景境、景阻、景势、景流组成的“景境回路设计原理”。

机器宠物狗的人机互动体验分析

机器宠物狗的功能不断增强,市场需求大;如何得到用户的更多认可,需要考虑用户在人机互动中未被充分满足的需求。运用情感化设计分析用户与机器宠物狗互动中的人机互动体验和设计要素,得到人机互动体验层次模型和评价方法。通过用户与两种机器宠物狗的人机互动实验,分析用户在感官体验层、交互体验层、情感体验层的需求和偏好。研究结果有助于机器宠物狗的人机互动设计优化。