2018
Joseph Malloch
Toward Rich, Continuous Representation and Interaction Conference
Workshop on Rethinking Interaction, ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2018), ACM Montreal, Canada, 2018.
Abstract | BibTeX | Tags: continuous interaction, continuous representations
@conference{Malloch2018_CHI_Workshop,
title = {Toward Rich, Continuous Representation and Interaction},
author = {Joseph Malloch},
year = {2018},
date = {2018-04-21},
booktitle = {Workshop on Rethinking Interaction, ACM SIGCHI Conference on Human Factors in Computing Systems (CHI 2018)},
address = {Montreal, Canada},
organization = {ACM},
abstract = {I present a suggestion for rethinking some common assumptions when designing interactive systems. In brief, I advocate that developers exercise restraint before perform- ing classification or identification steps when processing human input to a system, and consider carefully a) whether classification is necessary or desirable for the interaction; b) whether a continuous representation might be prefer- able in terms of computational efficiency, user efficiency, or user experience; and finally c) in cases where classification/identification is the appropriate approach, whether it might be useful to augment and enrich the discrete, classified objects with continuous data representations.},
keywords = {continuous interaction, continuous representations},
pubstate = {published},
tppubtype = {conference}
}
I present a suggestion for rethinking some common assumptions when designing interactive systems. In brief, I advocate that developers exercise restraint before perform- ing classification or identification steps when processing human input to a system, and consider carefully a) whether classification is necessary or desirable for the interaction; b) whether a continuous representation might be prefer- able in terms of computational efficiency, user efficiency, or user experience; and finally c) in cases where classification/identification is the appropriate approach, whether it might be useful to augment and enrich the discrete, classified objects with continuous data representations.