Vocabulary size influences spontaneous speech in native language users: Validating the use of automatic speech recognition in individual differences research

Previous research has shown that vocabulary size affects performance on laboratory word production tasks. Individuals who know many words show faster lexical access and retrieve more words belonging to pre-specified categories than individuals who know fewer words. The present study examined the relationship between receptive vocabulary size and speaking skills as assessed in a natural sentence production task. We asked whether measures derived from spontaneous responses to every-day questions correlate with the size of participants’ vocabulary. Moreover, we assessed the suitability of automatic speech recognition for the analysis of participants’ responses in complex language production data. We found that vocabulary size predicted indices of spontaneous speech: Individuals with a larger vocabulary produced more words and had a higher speech-silence ratio compared to individuals with a smaller vocabulary. Importantly, these relationships were reliably identified using manual and automated transcription methods. Taken together, our results suggest that spontaneous speech elicitation is a useful method to investigate natural language production and that automatic speech recognition can alleviate the burden of labor-intensive speech transcription

A functional model of similarity

In the first chapters, the prevalent conception of the nature of similarity is shown to be too narrow, and the argument is developed that models of similarity must encompass both analytic and synthetic components. Some general problems of measurement and the testing of psychological models are also discussed.A review of the philosophical treatment of the concept of similarity is made in order to understand the origins of the models found in the present psychological literature. These are then analysed in terms of their implicit object representations and cognitive processes. The distinction between the'class inclusion' and 'distance relation' models of similarity is shown tobe qualitative in nature, and to correspond to the analytic-synthetic distinction in terms of cognitive process.A functional model of the psychological processes and object representations involved in similarity judgements is then proposed. The fundamental idea involved in this model is that the global properties of referents are synthetically evaluated in terms of their contextual relations, whilst an analytic 'pattern matching' of local properties is made. Various theoretical aspects of the model are examined experimentally, and its general applicability is indicated in a series of applied studies.The scope of the argument is finally broadened to encompass a development of Torgerson's (196.5) conception of the nature of the dimensions resulting from MDS analysis. Dimensions may be considered as 'virtual' artifacts of the experimental task and the individual's conception of it. This possibility allows the methodology to escape the dominating influence of its psychophysical tradition, and become a conceptually deeper tool for cognitive psychology

Adaptive Economics: A neuroethological approach to the study of preferences, biases, and choice

A neuron's curse is that at every given time, with the information available to it, it must choose to either send a signal to its neighbouring cells or remain silent. It has evolved to be the optimal decision unit and, together with around 86 billion of its neighbours, the neuron keeps us alive, helps us cooperate, and allows us to successfully compete with others when resources get scarce. Yet, we, being collections of these neurons, still struggle to describe how these individual decision-makers support the broader process that is human decision-making. Traditionally, decision theory has sought to understand human choices by relying more on mathematics than biology. This has led to the general assumption that decision-makers behave ‘as-if’ guided by mathematical rules and algorithms that are mostly static over time. In reality, however, decision-making relies on a brain that, due to its limited capacity, has evolved the ability for flexible and dynamic cognition. The experiments presented in this thesis, build on dichotomies in human behaviour that cannot be explained by traditional economic models - first replicating these findings in rhesus macaques, then addressing the neurobiological algorithms that could reconcile these dichotomies. Specifically, I looked at the effects of different reward ranges, different levels of risk, and different experimental paradigms in shaping the way monkeys made choices. I demonstrate that, far from having the stable and fixed preferences prescribed by economic models, rhesus macaques appear to flexibly adapt their choice preferences in a way that optimizes their decision-making given their experience with the task at hand. I then elaborate on the neurobiological basis for preference adaptation, and show how incorporating simple, dynamic algorithms into economic choice models improves their predictive power. Taken together, my results demonstrate the need for, and advantage of, integrating neuroethological thought into the current framework of decision theory.This work was made possible by funding from the European Research Council and the Wellcome Trust

The impact of information, value-deliberation and group-based decision-making on values for ecosystem services:Integrating deliberative monetary valuation and storytelling

We thank the four anonymous referees whose comments substantially helped to improve this paper. We thank Anna Attlee and Althea Davies who helped to facilitate the research workshops; Anna Attlee also for helping to analyse the qualitative data. We thank all the participants of our study for their effort, and the Marine Conservation Society, the British Sub-Aqua Club and the Angling Trust for assisting with participant recruitment. This work was funded through the UK National Ecosystem Assessment Follow-On (Work Package 6: Shared, Plural and Cultural Values), funded by the UK Department of the Environment, Food and Rural Affairs (Defra), the Welsh Government, the UK Natural Environment Research Council (NERC), Economic and Social Research Council (ESRC), and Arts and Humanities Research Council (AHRC); additional funding was received from the Calouste Gulbenkian Foundation through the Marine Conservation Society. J.O. Kenter was also supported by the European Union Seventh Framework Programme (FP7/2007–2013) under grant agreement no 315925 and K.N. Irvine by the Scottish Government Rural and Economic Sciences and Analytical Service (RESAS) Division.Peer reviewedPublisher PD

Multimodal assessment of emotional responses by physiological monitoring: novel auditory and visual elicitation strategies in traditional and virtual reality environments

This doctoral thesis explores novel strategies to quantify emotions and listening effort through monitoring of physiological signals. Emotions are a complex aspect of the human experience, playing a crucial role in our survival and adaptation to the environment. The study of emotions fosters important applications, such as Human-Computer and Human-Robot interaction or clinical assessment and treatment of mental health conditions such as depression, anxiety, stress, chronic anger, and mood disorders. Listening effort is also an important area of study, as it provides insight into the listeners’ challenges that are usually not identified by traditional audiometric measures. The research is divided into three lines of work, each with a unique emphasis on the methods of emotion elicitation and the stimuli that are most effective in producing emotional responses, with a specific focus on auditory stimuli. The research fostered the creation of three experimental protocols, as well as the use of an available online protocol for studying emotional responses including monitoring of both peripheral and central physiological signals, such as skin conductance, respiration, pupil dilation, electrocardiogram, blood volume pulse, and electroencephalography. An emotional protocol was created for the study of listening effort using a speech-in-noise test designed to be short and not induce fatigue. The results revealed that the listening effort is a complex problem that cannot be studied with a univariate approach, thus necessitating the use of multiple physiological markers to study different physiological dimensions. Specifically, the findings demonstrate a strong association between the level of auditory exertion, the amount of attention and involvement directed towards stimuli that are readily comprehensible compared to those that demand greater exertion. Continuing with the auditory domain, peripheral physiological signals were studied in order to discriminate four emotions elicited in a subject who listened to music for 21 days, using a previously designed and publicly available protocol. Surprisingly, the processed physiological signals were able to clearly separate the four emotions at the physiological level, demonstrating that music, which is not typically studied extensively in the literature, can be an effective stimulus for eliciting emotions. Following these results, a flat-screen protocol was created to compare physiological responses to purely visual, purely auditory, and combined audiovisual emotional stimuli. The results show that auditory stimuli are more effective in separating emotions at the physiological level. The subjects were found to be much more attentive during the audio-only phase. In order to overcome the limitations of emotional protocols carried out in a laboratory environment, which may elicit fewer emotions due to being an unnatural setting for the subjects under study, a final emotional elicitation protocol was created using virtual reality. Scenes similar to reality were created to elicit four distinct emotions. At the physiological level, it was noted that this environment is more effective in eliciting emotions. To our knowledge, this is the first protocol specifically designed for virtual reality that elicits diverse emotions. Furthermore, even in terms of classification, the use of virtual reality has been shown to be superior to traditional flat-screen protocols, opening the doors to virtual reality for the study of conditions related to emotional control