Distinguished Lectures in Humanities

I will discuss how co-speech (i.e., speech-accompanying) gestures relate to language and conceptualisation underlying language. I will focus on “representational gestures”, which can depict motion, action, and shape or can indicate locations. I will provide evidence for the following two points. Various aspects of language shape co-speech gestures. Conversely, the way we produce co-speech gestures can shape language. I will discuss these issues in relation to manner and path in motion event descriptions, clause-linkage types in complex event descriptions, and metaphor. I will conclude that gesture and language are parts of a "conceptualisation engine”, which takes advantage of unique strengths of spatio-motoric representation and linguistic representation.

The relationship between language experience and cognitive control (e.g., working memory, inhibitory control, cognitive flexibility) could be very well illustrated by the cognitively demanding language experience of interpreting training. A series of our empirical studies with interpreting students (see DONG 2023 for a review), together with studies with professional interpreters in the literature, suggest that interpreting training may first enhance students’ working memory (WM) updating ability and then WM spans, with probable some decline of WM updating ability between the shift from the two WM abilities. Similar patterns may appear in other cognitive control functions, such as cognitive flexibility (first with switching cost reduced and then with mixing cost reduced) and multi-tasking coordination. These results could be explained by the task features of interpreting (including task schemas and their cognitive loads) (see DONG & LI 2020), suggesting a close and dynamic relationship between language experience and cognitive control.

Psychology, Computer Science and Neuroscience have a history of shared questions and inter-related advances. Recently, new technology has enabled those fields to move from “toy” small-scale approaches to the study of language learning from raw sensory input and to do so at a large scale that constitutes daily life. The three primary goals of my research are 1) to quantify the statistical regularities in the real world, 2) to examine the underlying computational mechanisms operated on the statistical data, and 3) to apply the findings from basic science to real-world applications. In this talk, I will present several projects in my research lab to show that the advances in human learning and machine learning fields place us at the tipping point for powerful and consequential new insights into mechanisms of (and algorithms for) learning.

Event Date: 28/06/2023
Speaker: Prof. Chen YU (University of Texas at Austin)
Hosted by: Faculty of Humanities

As a recent New York Times editorial proclaimed, "The Global Order Isn't Working. It's Time for Something Different." To teach environmental history and environmental ethics is to reacquaint ourselves with the facts that we need to try to build, while there is still time, a new cooperative order that understands this: simple fact: that other people and other countries are quite literally "the air we breathe." Moreover, all who claim to be ethical persons must take seriously the notion of inter-generational equity and try to act upon it. This notion should, in theory, come more easily to countries whose traditions have built upon classical/ Confucian learning, for those traditions say that the most important marker of human behavior is working toward common ends (qun 群) while "learning what is enough" (zhi zu 知足). Put another way, many resources within the Chinese tradition may strengthen our resolve to act more constructively in less short-sighted ways.

The notion of expertise is integral to all forms of institutional and professional practice in many domains – in education, healthcare, social welfare, law, journalism, banking, information technology, marketing, translating and interpreting services etc. It is a concept addressed by scholars across many disciplines – cognitive science, sociology, anthropology, psychology, language/communication studies, among others. There are, however, enduring problems of definition, description and measurement of expertise. Some scholars draw attention to the ongoing ‘crisis in expertise’ and others pronounce the ‘death of expertise’ in contemporary society.

More humbly, I begin with a characterisation of professional expertise very broadly to include scientific, experiential, technological, organisational, legal, ethical and communicative knowledge. This then leads me to the notion of ‘distributed expertise’, which extends beyond the individual remit and the conventional lay-expert divide. For instance, in the healthcare domain, a significant development afforded by internet-based technology is the increased level of patients’ e-health literacy and, consequently, democratisation of expertise. This amounts not only to accessing health information digitally, but also the phenomenon of patients ‘doctoring’ themselves in ‘the now of its presence’, i.e., ‘expert patients’ becoming instrumental in self-diagnosis and even self-treatment.

Additionally, ‘distributed expertise’ is also constitutive of ‘expert systems’, e.g., diagnostic and interventionist technologies as well as decision aids mediated by algorithms and templates. This is what I refer to as the technologization of expertise. I suggest that there is overreliance on ‘expert systems’ by both experts and lay persons in everyday decision making. Access to and use of ‘expert systems’ in optimal ways inevitably necessitates a reconfiguration of the very conditions and consequences of professional expertise.


Event Date: 25/11/2022
Speaker: Prof. Srikant Sarangi (Hong Kong Polytechnic University)
Hosted by: Faculty of Humanities