Interactive introduction to self-calibrating interfaces

TL;DR

This paper introduces the self-calibrating interface paradigm through an interactive, educational approach, demonstrating how interfaces can adapt to user preferences across various input modalities without traditional experimental validation.

Contribution

It provides an accessible, step-by-step introduction to self-calibrating interfaces using interactive demonstrations and multimedia, emphasizing understanding over experimental results.

Findings

Demonstrates interface adaptation from buttons to speech

Provides online interactive demos for learning

Highlights the paradigm's flexibility and user-centered design

Abstract

This interactive paper aims to provide an intuitive understanding of the self-calibrating interface paradigm. Under this paradigm, you can choose how to use an interface which can adapt to your preferences on the fly. We introduce a PIN entering task and gradually release constraints, moving from a pre-calibrated interface to a self-calibrating interface while increasing the complexity of input modalities from buttons, to points on a map, to sketches, and finally to spoken words. This is not a traditional research paper with a hypothesis and experimental results to support claims; the research supporting this work has already been done and we refer to it extensively in the later sections. Instead, our aim is to walk you through an intriguing interaction paradigm in small logical steps with supporting illustrations, interactive demonstrations, and videos to reinforce your learning. We designed this paper for the enjoyments of curious minds of any backgrounds, it is written in plain English and no prior knowledge is necessary. All demos are available online at openvault.jgrizou.com and linked individually in the paper.