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莱布尼兹病毒学研究所（LIV）成立于1948年的莱布尼兹病毒学研究所，是一家非营利和独立的研究机构，是基金会民法，自1995年以来一直是莱布尼兹社区的成员。LIV研究人类的致病病毒，目的是了解与病毒相关的疾病并创建新的治疗方法。基于实验基础研究，改进了治疗病毒疾病（例如艾滋病，流感和肝炎）的新起点，以及通过新运行的病毒感染（例如Covid-19或Covid-19或West Nile和登革热发烧）的新起点。的研究重点是，LIV涵盖了世界上最重要的病毒感染剂。LIV参与了区域和国家研究协会，例如结构系统生物学中心（CSSB），德国感染研究中心（DZIF），汉堡莱布尼兹科学校园校园校园综合分析病原体诱导的犯罪（Interact）和Leibniz-lab Pandemitness：一个健康，一个健康，一个健康，一个健康。LIV与邻近的莱布尼兹研究机构Bernhard-Nocht-Institut（BNITM）和Borstel Research Center（FZB）一起，LIV建立了莱布尼兹中心感染（LCI），这是三个补充机构的战略联盟。更多信息：www.leibniz-liv.de如果您想从我们的新闻发布者中删除，请给我们发送电子邮件至press@leibniz-liv.de。有关数据保护的信息，请参见此处。
机器人能力，自治和...
Abstract —Human trust in social robots is a complex attitude based on cognitive and emotional evaluations, as well as a behavior, like task delegation.While previous research explored the features of robots that influence overall trust attitude, it remains unclear whether these features affect behavioral trust.Additionally, there is limited investigation into which features of robots influence cognitive and emotional attitudes, and how these attitudes impact humans' willingness to delegate new tasks to robots.This study examines the interplay between competence, autonomy, and personality traits of robots and their impact on trust attitudes (cognitive and affective trust) and trust behavior (task delegation), within the context of task-oriented Human- Robot Interaction.我们的发现表明机器人能力是信任的关键决定因素，影响认知，情感和行为信任。相比之下，机器人人格特征只会显着影响情感信任，而不会影响认知信任或信任行为。In addition, autonomy was found to moderate the relationship between competence and cognitive trust, as well as between personality and affective trust.最后，发现认知信任会积极影响任务授权，而情感信任并未显示出显着影响。This paper contributes to the literature on Human-Robot Trust by providing novel evidence for the design of robots that can interact effectively with humans and enhance their trust.
Nile W. Hatch
在我的研究中，我专注于人们如何对新技术的反应以及如何构建该技术以最有效地与用户互动。我的主要研究重点是与体现的对话代理，机器人和聊天机器人的人类互动，以及这些聊天机器人对用户对这些系统的感觉和行为的影响。我有兴趣学习人们与这些类型的新型系统互动时如何有意识地或无意识地适应自己的行为。
Oscillator without equilibrium and linear terms - IRIS
tors, vice versa, conservative chaotic oscillators do not loss energy over time. Their orbits appear on the surface exhibiting constant en- ergy in phase space. Despite their chaotic nature, the orbits of these oscillators remain within conserved boundaries. Recently, there are peculiar chaotic oscillators that do not precisely fit within conserva- tive or dissipative categories. This kind of high complicated oscillators can interact with both. It operates according to principles of conser- vation and dissipation of energy, or defies traditional classification. Their behavior is particularly fascinating and provides insight into the diversity of chaos in different environments. Conservative and dissi- pative chaotic oscillators are structurally stable. However, the initial conditions fall within the chaotic basin or not, the orbits of such os- cillators whether chaotic or not are bounded. On the other hand, the behavior of a peculiar chaotic may change suddenly. Depending on its conditions, it can respond with either bounded or unbounded oscilla- tion. Therefore, designing and studying such peculiar oscillators is a very hard task. For example, having a positive, zero and negative Lya- punov exponents of three dimensional autonomous chaotic oscillator with unstable equilibrium points, the boundedness of its orbits under all possible initial conditions does not necessarily guarantee. Consequently, the basin of attraction is an essential tool that should be used to recog- nize the chaotic and other dynamics, particularly, for peculiar chaotic dynamics.
