We present an in-depth analysis of the impact of multi-word suggestion choices from a
neural language model on user behaviour regarding input and text composition in email …

Adapting an interface requires taking into account both the positive and negative effects that
changes may have on the user. A carelessly picked adaptation may impose high costs to the …

There have been significant advances in simulation models predicting human behavior
across various interactive tasks. One issue remains, however: identifying the parameter …

Emoji, a set of pictographic Unicode characters, have seen strong uptake over the last
couple of years. All common mobile platforms and many desktop systems now support emoji …

Personalized adaptive gamification has the potential to improve individuals' motivation and
performance. Current methods aim to predict the perceived affective state (ie, emotion) of an …

Although menu selection has been extensively studied in HCI, most existing studies have
focused on sighted users, leaving blind users' menu selection under-studied. In this paper …

This paper addresses a common challenge with computational cognitive models: identifying
parameter values that are both theoretically plausible and generate predictions that match …

One reason that human interaction with technology is difficult to understand is because the
way in which people perform interactive tasks is highly adaptive. One such interactive task is …

An important problem for HCI researchers is to estimate the parameter values of a cognitive
model from behavioral data. This is a difficult problem, because of the substantial complexity …

We present a computational model of visual search on graphical layouts. It assumes that the
visual system is maximising expected utility when choosing where to fixate next. Three utility …