Titlebook: Artificial Intelligence in HCI; Second International Helmut Degen,Stavroula Ntoa Conference proceedings 2021 Springer Nature Switzerland AG

archaeology

dissolution

不幸的人

Can You Trust the Black Box? The Effect of Personality Traits on Trust in AI-Enabled User Interfacesommunities. One key focus of this stream is the enablement of trust between end users and the intelligent solution. Although, the current body of literature discusses and proposes a range of best practices for the design of user interfaces for intelligent solutions, there is a dearth of research how

modifier

Towards Design Principles for User-Centric Explainable AI in Fraud Detectionnt of Artificial Intelligence (AI) for decision support, those experts face the black-box problem and lack trust in AI predictions for fraud. Such an issue has been tackled by employing Explainable AI (XAI) to provide experts with explained AI predictions through various explanation methods. However

神圣在玷污

Disentangling Trust and Anthropomorphism Toward the Design of Human-Centered AI Systemshat will guide human interactions with AI and anticipation of AI behavior. Similarly, anthropomorphizing, or attributing humanlike qualities to an entity, allows humans to predict and prepare for the complex and motivated behavior of humanlike entities in our environment. The shared role of these tw

微生物

Designing a Gender-Inclusive Conversational Agent For Pair Programming: An Empirical Investigationity, productivity, self-efficacy, and knowledge transfer as it does with a human. However, to create a gender-inclusive agent, we need to understand the communication styles between human-human and human-agent pairs. To investigate the communication styles, we conducted gender-balanced studies with

contradict

心胸开阔

Morality Beyond the Lines: Detecting Moral Sentiment Using AI-Generated Synthetic Contextncerns. The Moral Foundations Theory (MFT) can be used to evaluate expressions of moral sentiment. MFT proposes that there are five innate, universal moral foundations that exist across cultures and societies: care/harm, fairness/cheating, loyalty/betrayal, authority/subversion, and sanctity/degrada

Itinerant

Whoops! Something Went Wrong: Errors, Trust, and Trust Repair Strategies in Human Agent Teamingbilities. Modern technological advances will inevitably lead to the integration of autonomous systems and will consequently increase the need for effective human agent teaming (HAT). One of the most paramount ideals human operators must discern is their perception of autonomous agents as equal team

无脊椎

What Does It Mean to Explain? A User-Centered Study on AI Explainability been active in exploring mathematical approaches that can increase the explainability of models. However, ensuring explainability thoroughly in the real world remains an open question. Indeed, besides data scientists, a variety of users is involved in the model lifecycle with varying motivations an