When human-computer interaction meets community citizen science

Machine Learning and Citizen Science: Opportunities and Challenges of Human-Computer Interaction

Background and Aim: In processing large data, scientists have to perform the tedious task of analyzing hefty bulk of data. Machine learning techniques are a potential solution to this problem. In citizen science, human and artificial intelligence may be unified to facilitate this effort. Considering the ambiguities in machine performance and management of user-generated data, this paper aims to...

When Science Meets Religion

Computer Science Meets Medical Science

In the past 20–30 years at least two technical advances have made quantification in pathology at a large scale possible. At the time the computing power of affordable computers increased, interest to deploy tasks emerged that were previously very laborious to perform. Combined with digital camera systems, many new possibilities became available. Examples of such measurements that were previousl...

The Weak Science of Human-Computer Interaction

This article is about science and the discipline of humancomputer interaction (HCI). Science in HCI is merely one component of a wider agenda; alone science is not sufficient for ‘good’ HCI (whatever that is). We argue that science is necessary, but the way that science is undertaken—or purported to be undertaken—in HCI is inadequate. Failures are due to the sparsity of theories and risky hypot...

Animal clocks: when science meets nature.

Daily rhythms of physiology and behaviour are governed by an endogenous timekeeping mechanism (a circadian 'clock'), with the alternation of environmental light and darkness synchronizing (entraining) these rhythms to the natural day-night cycle. Our knowledge of the circadian system of animals at the molecular, cellular, tissue and organismal levels is remarkable, and we are beginning to under...