Emotion AI is increasingly used to automatically evaluate asynchronous hiring interviews. Although touted for increasing hiring fit and reducing bias, it is unclear how job-seekers perceive emotion AI-enabled asynchronous interviews. This gap is striking,...

Algorithms are introducing changes to individuals? jobs, but do algorithms also lead to changes in the structures of organizations themselves? Organizational structures, as often formalized into organization (org) charts, are meant to facilitate ...

This letter provides an overview of our recent work on COVID-19 testing mechanisms that appeared at EC'23. Large-scale testing is crucial in pandemics but resources are often prohibitively constrained. We study a scenario in which a population under ...

The author proposes algorithms for constructing a prebasis and the basis of the set of solutions to systems of linear constraints in the form of equalities and inequalities in the domains of integers, which are based on combined coefficients of ...

This article considers how subjectivities are enlivened in algorithmic systems. We first review related literature to clarify how we see “subjectivities” as emerging through a tangled web of processes and actors. We then offer two case studies ...

Teachers who are aware of potential student misconceptions teach better than teachers who do not. In this article, we focus on misconceptions in the context of teaching and learning graph algorithms: we seek to discover student misconceptions about ...

We present two algorithms for computing what we call the absolute factorization of a difference operator. We also give an algorithm for solving third order difference equations in terms of second order equations, together with applications to OEIS ...

The Information Retrieval (IR) community has a rich history of empirically measuring novel retrieval methods in terms of effectiveness and efficiency. However, as the search ecosystem is developing rapidly, comparatively little attention has been paid to ...

Creating efficient and effective search and recommendation algorithms has been the main objective of industry practitioners and academic researchers over the years. However, recent research has shown how these algorithms trained on historical data lead ...

Navigating indoor spaces is known to be significantly challenges for individuals with mobility and sensory impairments due to the presence of physical barriers and inadequate accessible signage. Current laws and efforts have not led to meeting ...

ABSTRACT: The paper delves into the fundamentals of information systems security, providing an analysis of the security levels of both information and network resources. It describes various types of attacks on information systems along with their ...

Discrete dynamical systems serve as useful formal models to study diffusion phenomena in social networks. Several recent articles have studied the algorithmic and complexity aspects of some decision problems on synchronous Boolean networks, which are ...

The International Workshop on Artificial Intelligence for Signal, Image Processing, and Multimedia (AI-SIPM) aims to provide a platform for researchers, practitioners, and industry professionals to exchange ideas, discuss recent advancements, and explore ...

A data structure is history independent if its internal representation reveals nothing about the history of operations beyond what can be determined from the current contents of the data structure. History independence is typically viewed as a security ...

The list-labeling problem is one of the most basic and well-studied algorithmic primitives in data structures, with an extensive literature spanning upper bounds, lower bounds, and data management applications. The classical algorithm for this problem, ...

Social media apps present personalized content to users. Such content is often described as “for you,” raising questions about the relationship between users’ sense of “self” and the “you” that is represented. Answering such questions is pressing in the ...

We study pure-strategy Nash equilibrium (PSNE) computation in k-dimensional congestion games (k-DCGs) where the weights or demands of the players are k-dimensional vectors. We first show that deciding the existence of a PSNE in a k-DCG is NP-complete ...

Mounting evidence indicates that the artificial intelligence (AI) systems that rank our social media feeds bear nontrivial responsibility for amplifying partisan animosity: negative thoughts, feelings, and behaviors toward political out-groups. Can we ...

Migrants experience unique needs and use social media, in part, to address them. While prior work has primarily focused on migrant populations who are vulnerable socio-economically and legally, less is known about how highly educated migrant populations ...

Algorithm design is a vital skill developed in most undergraduate Computer Science (CS) programs, but few research studies focus on pedagogy related to Algorithms coursework. To understand the work that has been done in the area, we present a systematic ...