Online information influences every aspect of our lives: work, leisure and learning. As information systems become more embedded in our day-to-day experiences, it becomes increasingly important to understand how people interact with information and the consequences of those interactions. Access to information is critical to preserving democracy. Beyond designing effective and engaging information retrieval systems and interfaces, understanding how users access and use information is crucial to designing fair and ethical systems.
ACM CHIIR operates under the ACM Conference Code of Conduct.
ACM CHIIR 2019 invites submissions focused on user-centered approaches to design and evaluation of systems for information access, retrieval, and use. This includes studies of interactive retrieval systems, novel interfaces and interaction paradigms, new evaluation methods, and related areas. Alongside focused studies on specific information retrieval systems and situations, we also welcome longitudinal, real-life, and ethnographic research of contextually embedded search tasks.
Topics covered include but are not limited to:
- Information seeking, including task-based and exploratory studies
- Search interfaces, including those for specialized tasks, populations and domains
- User-Centered Design approaches to humans interacting with information and systems
- Interaction techniques for information retrieval and discovery
- Online information seeking, including log analysis of search and browsing
- Modeling and simulation of information interaction
- Information use, including measures of use as well as broader sense-making
- Field and case studies relevant to understanding prerequisites for information searching, design and access
- User-centered evaluation methods and measures, including measures of user experience and performance, experiment and search task design, eye-tracking and physiological approaches, data analysis methods, and usability
- Human interaction and experience with mobile searching and services
- Context-aware and personalized search, including design, contextual features and analysis of information interaction
- Information visualization and visual analytics, including search result presentation
- Collaborative information seeking and social search, including social utility and network analysis for information interaction
- Conversational search and other types of stateful and multi-turn interactions between users and search applications