Search Results

When interacting with information retrieval (IR) systems, users, affected by confirmation biases, tend to select search results that confirm their existing beliefs on socially significant contentious issues. To understand the judgments and attitude ...

Behavioral web data such as social web activity streams, query logs or behavioral traces from web search and navigation are crucial to understand the temporal evolution of the web and the human interactions that produce web data and models trained on ...

Across all scientific fields, there is an increased focus on the impact of scientific research: what academic and societal benefits does it provide? This question has spurred the development of a variety of different approaches to impact assessment, ...

Keywords contain important contextual information about search results within academic digital library search interfaces. However, such information tends to be underutilized within modern search interface designs. In prior work, methods for visually ...

The Relevance Feedback (RF) process relies on accurate and real-time relevance estimation of feedback documents to improve retrieval performance. Since collecting explicit relevance annotations imposes an extra burden on the user, extensive studies have ...

Graph databases are an established solution for large, highly connected datasets. One challenge associated with deploying graph databases in industrial settings is usability. Typically, developers interact with graph databases through queries in ...

In this paper, we present the results of an initial study of the research, sharing, and re-use practices at the CHIIR conference through a systematic analysis of all CHIIR papers published from 2016 to 2022. We find that CHIIR is a conference ...

This work addresses challenges in developing conversational assistants that support rich multimodal video interactions to accomplish real-world tasks interactively. We introduce the task of automatically linking instructional videos to task steps as "...

Information Retrieval (IR) can be broadly interpreted as an interactive process for connecting users with the right information at the right time to finish a task, where interaction can be multimodal (e.g., using text, speech, and gestures) and ...

Conducting studies involving actual users is a recurring challenge in information retrieval. In this tutorial we will address the main strategic and tactical choices for engaging with, designing and executing user studies, considering both evaluation ...

Conversational information seeking (CIS) involves interaction sequences between one or more users and an information system. Interactions in CIS are primarily based on natural language dialogue, while they may include other types of interactions, such ...

When users initiate search sessions, their query are often ambiguous or might lack of context; this resulting in non-efficient document ranking. Multiple approaches have been proposed by the Information Retrieval community to add context and retrieve ...

TheSearch Engine Results Page (SERP) has evolved significantly over the last two decades, moving away from the simple ten blue links paradigm to considerably more complex presentations that contain results from multiple verticals and granularities of ...

In this paper, we describe our use of realism check questions in an exit questionnaire as a method for assessing the realism of scenarios and simulated tasks. We used realism check questionnaire items found in the decision-making literature to assess ...

In the last decade, advances in the field of ambient assisted living (AAL) have changed the way services can be provided in smart homes. New possibilities are now offered for addressing complex interaction problems between the technology and users with ...

In interactive IR (IIR), users often seek to achieve different goals (e.g. exploring a new topic, finding a specific known item) at different search iterations and thus may evaluate system performances differently. Without state-aware approach, it would ...

Research paper recommender systems are widely used by academics to discover and explore the most relevant publications on a topic. While existing recommendation interfaces present researchers with a ranked list of publications based on a global relevance ...

Models developed to simulate user interactions with search interfaces typically do not consider the visual layout and presentation of a Search Engine Results Page (SERP). In particular, the position and size of interfacewidgets ---such as entity cards ...

Since Information Retrieval (IR) is an interactive process in general, it is important to study Interactive Information Retrieval (IIR), where we would attempt to model and optimize an entire interactive retrieval process (rather than a single query) ...

Information retrieval (IR) in nature is a process of sequential decision making. The system repeatedly interacts with the users to refine its understanding of the users' information needs, improve its estimation of result relevance, and thus increase the ...