Human Factors in Immersive Analytics

Workshop Schedule

• Welcoming

An introduction to the workshop organizer, goals, and an overview of activities. 

• Keynote talk

Opening Keynote.

• Lightning talk

Each author of the paper and video will give a lightning talk (duration to be added). 

• Group discussion

Participants will form groups to discuss different topics. 

• Break

• General discussion

Each group reports the outcomes of the group discussion, followed by a discussion of the next steps. 

• Closing

Wrap up and networking.

Call for Participation

This workshop aims to contribute to this landscape by defining a roadmap for new directions in understanding the human characteristics when interacting with immersive content, and therefore to optimize the design of IA systems as well as identify new opportunities and applications. Through a combination of synchronous and asynchronous sessions, along with in-person discussion, we will gather researchers from diverse backgrounds and expertise. Participants will come from IA and related fields, including interaction design, data visualization, VR, AR, biomechanics, embodied cognition, and more, offering a broad array of viewpoints.

The workshop aims to

• identify fundamental human factors that contribute to or limit the effectiveness of IA,

• broaden our understanding of physical and cognitive benefits and limitations of IA to inform an improved expansion of IA into further application areas,

• identify approaches for evaluating these human factors and techniques for addressing their limitations.

By fostering interdisciplinary collaboration of experts, this workshop will pave the way for defining key human factors and establishing robust methodologies for measuring and optimising user interaction with immersive analytics systems. 

Workshop Topics

We invite contributors to submit papers or videos on cognitive and physical aspects, including 

• Fundamental Cognitive Factors In System Design.

Understanding the roles of cognition and perception, including attention, memory, knowledge, visual imagery, language, problem solving, reasoning and decision making, and relevant scenarios, crucial for improving IA interface design. 

• Fundamental Physical Factors in System Design

Using body movements as input to interact with IA systems is widely adopted in the literature. However, little discussion has yet been made about how these input modalities support analytical tasks. Factors that require further consideration include human biomechanical limitations on movement, such as maximum speed, accuracy and fatigue over time.

• Synergistic Effects Between Cognitive and Physical Factors

Novel gestures were proposed to manipulate diverse types of data and information. We will discuss how users' mental models of such techniques influence their comprehension and decision-making processes in analytic tasks, with consideration of theories of distributed cognition and kinesthetic memory effects.

• New Evaluation Methods and Research Methods

Previous system evaluation relied on performance metrics, such as completion time and accuracy, and post-study subjective preference. New research agendas are needed to establish a better practice of system evaluation using recently developed techniques for measuring cognitive and physical costs during interaction. 

• Novel Interaction Techniques

Cognitive and physical costs are often mentioned when IA techniques are proposed. However, specifically how these solutions can enhance users' overall data interpretation, insight generation, and decision-making processes and in what type of analytic tasks remains unsolved.

• Integration with AI

Emerging AI model capabilities for real-time data processing, predictive modelling, and intelligent pattern recognition offer real-time and in-situ guidance in task-embedded scenarios. In such human-AI interactions, humans are not just passive data recipients; they actively interpret, question, and act on information. Integrating AI with IA could enhance situational awareness by enabling more intuitive and context-rich interactions with complex data environments. However, cognitive load, perception, attention, and decision-making processes must be carefully considered. AI must support, not overwhelm, users by presenting data in a way that aligns with natural human cognition and situational needs. 

• Adaptive User Interfaces

Mathematical optimization is often used to adapt interfaces for visibility and readability. Recent toolkits facilitate optimization and abstract the formulation of such mathematical problems. Novel formulations of cognitive and physical factors as adaptation objectives and constraints are required to make optimization accessible to creators. Additionally, IA applications have unique requirements (e.g. 3D and environmental constraints) that must be identified and addressed.

Submission guidelines

Submission system to be announced. 

Papers
We encourage researchers, practitioners, and designers to submit research papers, early-stage work, or conceptual ideas, ranging from 2 to 4 pages (excluding references), in the standard TVCG submission format. The submission is in an anonymous PDF format. 

Each paper will be reviewed by the organizers to ensure quality and relevance. All accepted papers will be compiled and made available to all participants ahead of the workshop, facilitating pre-event engagement and discussion. The selected papers will be published after the workshop in the IEEE Xplore Digital Library publication of the workshop proceedings, where authors can choose to opt in for it. At least one author of each accepted submission must register and attend the workshop.

Organisers

This workshop is organized by a team of academics with diverse backgrounds and career levels (i.e., IA, V/A/XR interaction, empathic computing, and affective computing). 

Dr. Kadek Satriadi, Dr. Jiazhou Liu, Dr. Benjamin Tag, Dr. Anjali Khurana, Prof. Tim Dwyer, A/Prof. Barrett Ens, Ms. Lang Qin