HCI Design for Trustworthy Organic Computing

值得信赖的有机计算的人机交互设计

基本信息

项目摘要

A core feature of OC-systems is their ability to automatically adjust to dynamically changing usage and context conditions. OC-systems confront developers of user Interface concepts with a rather challenging task since it cannot always be assumed that sudden and often unexpected adjustments are automatically self-explanatory. Rather, there is the risk that users do not understand the rationale behind the system's behavior and wonder why a system has adapted in a specific manner. This in turn may lead to a loss of trust and in the worst case a rejection of the system. The objective of the project is the development of trustworthy user interfaces that are able to cope with these challenges.To achieve this objective, we developed a decision-theoretic approach to trust management on the basis of Bayesian Networks. The resulting User Trust Model (UTM) assesses the user's trust in a system, monitors it over time and applies appropriate system actions to maintain trust in critical situations, such as the generation of explanations to increase a system's transparency. To implement system actions, we rely on a constraint solver which allows us to define hard and soft behavioral corridors at design time which are automatically checked at run time. The developed methods and techniques are evaluated using demonstrators consisting of heterogeneous flexibly combinable interaction devices and displays. The demonstrators under investigation integrate public displays (called public screen), private and mobile displays (smart phones, tablets) and semi-public displays, such as interactive tables (Microsoft Surface). The resulting system class is called Trusted Display Grid, in short TDG.To ensure broad applicability of the methods and techniques in the project, we gradually increased the heterogeneity and complexity of the user interfaces under investigation. For phase 3, we will focus on the following objectives:(1) modeling Interaction and presentation concepts for highly dynamic TDG environments(2) generalization of the User Trust Modela. prediction of user trust on the basis of uncertain context informationb. optimization of measures to enhance trust for multiple users interacting in parallel(3) further development of a demonstrator using the TEMAS (Trust-Enabling Multi Agent System) and moTEM (a mobile version of the Trust-Enabling Middleware) platforms to validate the User Trust Model
OC系统的一个核心特性是能够自动适应动态变化的使用和上下文条件。OC系统面临着用户界面概念的开发人员一个相当具有挑战性的任务,因为它不能总是假设突然和经常意外的调整是自动不言自明的。相反,存在的风险是,用户不理解系统行为背后的原理,并想知道为什么系统以特定的方式进行了调整。这反过来又可能导致信任的丧失,在最坏的情况下,系统的拒绝。该项目的目标是开发可信的用户界面,能够科普这些挑战。为了实现这一目标,我们开发了一个决策理论的方法来信任管理的基础上贝叶斯网络。由此产生的用户信任模型(UTM)评估用户对系统的信任,随着时间的推移对其进行监控,并在关键情况下应用适当的系统操作来保持信任,例如生成解释以增加系统的透明度。为了实现系统动作,我们依赖于一个约束求解器,它允许我们在设计时定义硬和软行为走廊,并在运行时自动检查。所开发的方法和技术进行评估,使用由异构灵活组合的交互设备和显示器的示威者。受调查的示威者整合了公共显示器(称为公共屏幕),私人和移动的显示器(智能手机,平板电脑)和半公共显示器,如互动桌(微软Surface)。由此产生的系统类被称为可信显示网格,在短期TDG.To确保广泛的适用性的方法和技术在项目中,我们逐渐增加的异构性和复杂性的用户界面的调查。对于第三阶段,我们将集中在以下目标:(1)建模的交互和表示的概念,高度动态的TDG环境(2)用户信任模型a的推广。基于不确定上下文信息的用户信任预测b.优化措施,以增强并行交互的多个用户的信任(3)进一步开发使用TEMAS(信任启用多代理系统)和moTEM(信任启用中间件的移动的版本)平台的演示器,以验证用户信任模型

项目成果

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Professorin Dr. Elisabeth André其他文献

Professorin Dr. Elisabeth André的其他文献

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{{ truncateString('Professorin Dr. Elisabeth André', 18)}}的其他基金

(DEEP) Deep Emotion Processing for Social Agents Combining Social Signal Interpretation
and Computationally Modeling User Emotions
(DEEP) 结合社交信号解释和用户情绪计算建模的社交代理深度情绪处理
  • 批准号:
    392401413
  • 财政年份:
    2018
  • 资助金额:
    --
  • 项目类别:
    Research Grants
How to Win Arguments - Empowering Virtual Agents to Improve their Persuasiveness
如何赢得争论——增强虚拟代理的说服力
  • 批准号:
    376696351
  • 财政年份:
    2017
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Health-relevant effects of different urban forest structures.
不同城市森林结构对健康的影响。
  • 批准号:
    471909988
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
TherapAI - Analysis of nonverbal emotional expression in psychotherapy through artificial intelligence
TherapAI - 通过人工智能分析心理治疗中的非语言情绪表达
  • 批准号:
    493169211
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
BEA - Building Engaging Argumentation
BEA - 构建引人入胜的论点
  • 批准号:
    455911629
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Priority Programmes
Stress, Well-being and family relationships in the transition to parenthood during the COVID-19 pandemic and its influences on infant development (SWAN)
COVID-19 大流行期间向为人父母过渡期间的压力、幸福感和家庭关系及其对婴儿发育的影响 (SWAN)
  • 批准号:
    490909448
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants
user adaPtive Artificial iNtelligence fOR humAn coMputer interAction
用于人机交互的用户自适应人工智能
  • 批准号:
    442607480
  • 财政年份:
  • 资助金额:
    --
  • 项目类别:
    Research Grants

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