Non-verbal communication in meetings of psychiatrists and patients with schizophrenia

Objective Recent evidence found that patients with schizophrenia display non‐verbal behaviour designed to avoid social engagement during the opening moments of their meetings with psychiatrists. This study aimed to replicate, and build on, this finding, assessing the non‐verbal behaviour of patients and psychiatrists during meetings, exploring changes over time and its association with patients' symptoms and the quality of the therapeutic relationship. Method 40‐videotaped routine out‐patient consultations, involving patients with schizophrenia, were analysed. Non‐verbal behaviour of patients and psychiatrists was assessed during three fixed, 2‐min intervals using a modified Ethological Coding System for Interviews. Symptoms, satisfaction with communication and the quality of the therapeutic relationship were also measured. Results Over time, patients' non‐verbal behaviour remained stable, whilst psychiatrists' flight behaviour decreased. Patients formed two groups based on their non‐verbal profiles, one group (n = 25) displaying pro‐social behaviour, inviting interaction and a second (n = 15) displaying flight behaviour, avoiding interaction. Psychiatrists interacting with pro‐social patients displayed more pro‐social behaviours (P < 0.001). Patients' pro‐social profile was associated reduced symptom severity (P < 0.05), greater satisfaction with communication (P < 0.001) and positive therapeutic relationships (P < 0.05). Conclusion Patients' non‐verbal behaviour during routine psychiatric consultations remains unchanged, and is linked to both their psychiatrist's non‐verbal behaviour and the quality of the therapeutic relationship

Non-verbal behaviour on the Roman comic stage

No abstract available

On the simulation of interactive non-verbal behaviour in virtual humans

Development of virtual humans has focused mainly in two broad areas - conversational agents and computer game characters. Computer game characters have traditionally been action-oriented - focused on the game-play - and conversational agents have been focused on sensible/intelligent conversation. While virtual humans have incorporated some form of non-verbal behaviour, this has been quite limited and more importantly not connected or connected very loosely with the behaviour of a real human interacting with the virtual human - due to a lack of sensor data and no system to respond to that data. The interactional aspect of non-verbal behaviour is highly important in human-human interactions and previous research has demonstrated that people treat media (and therefore virtual humans) as real people, and so interactive non-verbal behaviour is also important in the development of virtual humans. This paper presents the challenges in creating virtual humans that are non-verbally interactive and drawing corollaries with the development history of control systems in robotics presents some approaches to solving these challenges - specifically using behaviour based systems - and shows how an order of magnitude increase in response time of virtual humans in conversation can be obtained and that the development of rapidly responding non-verbal behaviours can start with just a few behaviours with more behaviours added without difficulty later in development

Synthetic character fidelity through non-verbal behaviour in computer games

Artificial Intelligence in games has historically focused on providing a challenging opponent for a player and narrative development. Scope exists to increase the fidelity of synthetic characters throughout the game to create a more immersive game play experience. This requires both visual and behavioural fidelity, and while graphics are nearing photorealism, synthetic characters' behaviour is still unrealistic. Non-verbal behaviour of synthetic characters has to date received little attention and so the scope and participants of non-verbal behaviour requires identification. We review the range of spatial and task scenarios relevant in a game context, then identify categories of non-verbal behaviour and go on tot summarise their role in communication and propose their incorporation in the design of non-player characters. Finally we review how non-verbal behaviour of synthetic agents might increase immersion for a player and identify interaction techniques that might facilitate non-verbal communication with players and non-players characters alike

Detecting Low Rapport During Natural Interactions in Small Groups from Non-Verbal Behaviour

Rapport, the close and harmonious relationship in which interaction partners are "in sync" with each other, was shown to result in smoother social interactions, improved collaboration, and improved interpersonal outcomes. In this work, we are first to investigate automatic prediction of low rapport during natural interactions within small groups. This task is challenging given that rapport only manifests in subtle non-verbal signals that are, in addition, subject to influences of group dynamics as well as inter-personal idiosyncrasies. We record videos of unscripted discussions of three to four people using a multi-view camera system and microphones. We analyse a rich set of non-verbal signals for rapport detection, namely facial expressions, hand motion, gaze, speaker turns, and speech prosody. Using facial features, we can detect low rapport with an average precision of 0.7 (chance level at 0.25), while incorporating prior knowledge of participants' personalities can even achieve early prediction without a drop in performance. We further provide a detailed analysis of different feature sets and the amount of information contained in different temporal segments of the interactions.Comment: 12 pages, 6 figure

Towards responsive Sensitive Artificial Listeners

This paper describes work in the recently started project SEMAINE, which aims to build a set of Sensitive Artificial Listeners – conversational agents designed to sustain an interaction with a human user despite limited verbal skills, through robust recognition and generation of non-verbal behaviour in real-time, both when the agent is speaking and listening. We report on data collection and on the design of a system architecture in view of real-time responsiveness

Exploring the translation of non-verbal behaviour in fiction into Malay

Non-verbal behaviour is often incorporated in literary fiction to complement or replace the verbal behaviour of characters. Because of its ability to convey messages, it is considered as equally important as verbal behaviour in a literary text. Taking this as a starting point, this study aims to explore the issue of non-verbal behaviour in translation. More specifically, the study aims to determine how the translation of non-verbal behaviour is dealt with in literary fiction, to discuss the implications of the use of different techniques in translating non-verbal behaviour, and finally to suggest techniques that can successfully convey the meaning of nonverbal behaviour in translation. The study uses as its source of data an English novel entitled A Thousand Splendid Suns, and its Malay translation, Seribu Matahari Syurga, and is guided by Poyatos’ (2002b) framework on how non-verbal behaviour can be communicated in fiction. The analysis shows that non-verbal behaviour is either described or omitted in translation. The description of non-verbal behaviour, however, does not guarantee that meaning is successfully conveyed to the target readers. Likewise, the omission of non-verbal behaviour in the translation does not automatically imply loss of meaning. What is important is the reproduction of the same function or meaning in the translated text. The findings of this study underline the importance of properly addressing non-verbal behaviour in translation and demonstrate how the functional approach in translation can be employed to find not only suitable solutions to translations problems but also those which are meaningful to the target readers

Detecting Deception Through Non-Verbal Behaviour

The security protocols used in airport security checkpoints primarily aim to detect prohibited items, as well as the detection of malicious intent and associated deception to thwart any threats. However, some of the security protocols that are used are not substantiated by scientifically validated cues of deception. Instead, some protocols, such as the Screening of Passengers by Observation Techniques (SPOT) program, have been developed based on anecdotal evidence and invalid cues of deception. As such, the use of these protocols has received a lot of criticism in recent years from government agencies, civil rights organisations and academia. These security protocols rely on security personnel’s ability to infer intent from non-verbal behaviour, yet the literature suggests that the relationship between non-verbal cues and deception is unreliable and that people are poor at detecting deception. To improve upon our understanding of the validity of these protocols, this thesis used virtual reality to replicate a security checkpoint to explore whether there were valid cues of deception, specifically in an airport context. People’s ability to identify whether others were behaving deceptively was assessed, as well as the factors that may be informing decision-making. Chapter Four of this thesis found that the non-verbal cues of interest, which were segment displacement, centre of mass displacement, cadence, step length and speed were not significantly different between honest and deceptive people. A verbal measure, response latency, was found to only distinguish between honest people and those who were deceptive about a future intention, but not those who were deceptive about having a prohibited item. In light of the use of non-verbal measures in practice despite the lack of scientific support, Chapters Five to Seven aimed to gain a greater insight into people’s deception detection capabilities. The findings from Chapters Five to Seven reflected that the ability to detect deception from non-verbal behaviour was no better than guessing. Specifically, Chapter Five found that the accuracy of detecting deception was no different from chance levels. Six themes emerged as the factors that were used to inform decision-making. The themes were physical appearance, disposition, walking behaviour, body positioning, looking behaviour and upper limb movement, though a qualitative analysis revealed that there were subjective interpretations of how the themes mapped onto deception. Chapter Six introduced two techniques of information reduction to assess whether accuracy could be improved above chance levels by lessening the impact of biasing factors. Neither technique resulted in accuracy above chance levels. In Chapter Seven, eye tracking was utilised to assess the gaze patterns associated with the detection of deception. People looked at the legs more than other areas of the body prior to decision-making, though only looking at the left arm and hand were linked with accuracy. Detection accuracy was poor overall, though looking at the left arm was linked with reduced accuracy, whilst looking at the left hand was linked with increased accuracy. Overall, this thesis showed that the non-verbal cues that were assessed could not distinguish between honest and deceptive people. In the absence of valid cues, observers were not able to identify deception at a rate above chance even with the reduction of potentially biasing factors. The results of this thesis reinforce the idea that incorporating nonverbal measures into threat/deception detection protocols may not be warranted because of the dubious nature of their reliability and validity, as well as the poor deception identification capabilities when relying on non-verbal behaviour

The collection of sententiae associated with the mimographer Publilius and its portrayal of laughter, tears, and silence

The purpose of this paper is two-fold: to provide an up-to-date overview of the main problems pertaining to the purpose and transmission of a collection of apophthegms (sententiae), associated with the mime-actor and mimographer Publilius, and to discuss the portrayal of laughter, tears, and silence in the collection. I explore the image that was projected through the sententiae with regard to the above manifestations of non-verbal behaviour, and show how this projection squared with the portrayal of laughter, tears, and silence in select literary writings, including the collection of one-line apophthegms associated with Menander. I finish by suggesting reasons for this portrayal

Non-Verbal Behaviour in Intercultural Communication

The implementation of intercultural communication, the achievement of mutual understanding between peoples are important factors of stability and cultural exchange against the background of the diversity of cultures, traditions, religions, business, and technologies. Productive intercultural dialogue is largely possible not only due to knowing foreign languages, but also non-verbal communication that helps to overcome cultural barriers