With the development of virtual reality (VR) and human-computer interaction technology,
how to use natural and efficient interaction methods in the virtual environment has become a …

The expansion of touch-sensitive technologies, ranging from smartwatches to wall screens,
triggered a wider use of gesture-based user interfaces and encouraged researchers to …

Machine learning classifiers for human-facing tasks such as comment toxicity and
misinformation often score highly on metrics such as ROC AUC but are received poorly in …

Toolkit research plays an important role in the field of HCI, as it can heavily influence both
the design and implementation of interactive systems. For publication, the HCI community …

Most time series data mining algorithms use similarity search as a core subroutine, and thus
the time taken for similarity search is the bottleneck for virtually all time series data mining …

Nonparametric data from multi-factor experiments arise often in human-computer interaction
(HCI). Examples may include error counts, Likert responses, and preference tallies. But …

The term interaction is field-defining, yet surprisingly confused. This essay discusses what
interaction is. We first argue that only few attempts to directly define interaction exist …

There are many technical and design challenges in creating new, usable and useful AR/VR
applications. In particular, non-technical designers and end-users are facing a lack of tools …

The proliferation of accelerometers on consumer electronics has brought an opportunity for
interaction based on gestures. We present uWave, an efficient recognition algorithm for such …

The 1€ filter (" one Euro filter") is a simple algorithm to filter noisy signals for high precision
and responsiveness. It uses a first order low-pass filter with an adaptive cutoff frequency: at …