While algorithm audits are growing rapidly in commonality and public importance, relatively
little scholarly work has gone toward synthesizing prior work and strategizing future research …

The spread of AI-embedded systems involved in human decision making makes studying
human trust in these systems critical. However, empirically investigating trust is challenging …

The increasing availability of high–dimensional, fine–grained data about human behaviour,
gathered from mobile sensing studies and in the form of digital footprints, is poised to …

In recent years there has been a noticeable shift in attention from those who use agile
software development toward lean software development, often labelled as a shift “from …

Intelligent everyday applications typically rely on automated Recommender Systems (RS) to
generate recommendations that help users make decisions among a large number of …

We present the first systematic analysis of personality dimensions developed specifically to
describe the personality of speech-based conversational agents. Following the …

The rise of interactive intelligent systems has surfaced the need to make system reasoning
and decision-making understandable to users through means such as explanation facilities …

The growth of technologies promising to infer emotions raises political and ethical concerns,
including concerns regarding their accuracy and transparency. A marginalized perspective …

This reflection paper takes the 25th IUI conference milestone as an opportunity to analyse in
detail the understanding of intelligence in the community: Despite the focus on intelligent …

Human-Centered AI (HCAI) advocates the development of AI applications that are
trustworthy, usable, and based on human needs. While the conceptual foundations of HCAI …