Technology Category
Humans and AI: Human-Computer InteractionCognitive Modeling & Cognitive Systems: Simulating Human BehaviorApplication Domains: Humanities & Computational Social Science
Observing Interaction Rather Than Interfaces
🤖 AI Summary
Current HCI research overemphasizes interface appearance while neglecting the observability and reproducibility of actual interaction processes. To address this, we propose an interaction-behavior-centered research paradigm, establishing a standardized observational framework spanning technologies, design approaches, and user tasks. Our method employs experiment-driven application prototyping and empirical observation to systematically extract, validate, and accumulate reproducible interaction characteristics. The contributions are threefold: (1) the first ontology-oriented observational framework for human–computer interaction, enabling multi-condition reproducibility and integrative analysis; (2) tight coupling of user task requirements with technological evolution to support dynamic extraction and validation of interaction attributes; and (3) a scalable methodology and empirical foundation for uncovering fundamental principles governing interactive behavior. This paradigm shifts focus from static interface artifacts to observable, measurable, and repeatable interaction phenomena—thereby advancing HCI as an evidence-based science.
Technology Category
Application Category
📝 Abstract
The science of Human-Computer Interaction (HCI) is populated by isolated empirical findings, often tied to specific technologies, designs, and tasks. This situation probably lies in observing the wrong object of study, that is to say, observing interfaces rather than interaction. This paper proposes an experimental methodology, powered by a research methodology, that enables tackling the ambition of observing interaction (rather than interfaces). These observations are done during the treatment of applicative cases, allowing to generate and replicate results covering various experimental conditions, expressed from the need of end users and the evolution of technologies. Performing these observations when developing applicative prototypes illustrating novel technologies'utility allows, in the same time, to benefit from an optimization of these prototypes to better accomplish end users tasks. This paper depicts a long term research direction, from generating the initial observations of interaction properties and their replication, to their integration, that would then lead to exploring the possible relations existing between those properties, to end toward the description of human-computer interaction's physics.
Problem
Research questions and friction points this paper is trying to address.
Observing human-computer interaction instead of interfaces
Developing experimental methodology to study interaction properties
Exploring relations between interaction properties for HCI physics
Innovation
Methods, ideas, or system contributions that make the work stand out.
Observing interaction instead of interfaces
Using applicative cases for generating replicable results
Developing prototypes to optimize user task completion
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