This dissertation analysed the interactions between instructors and students in a language classroom in Russia. Using video-recorded data, instructor interviews, and student assessments from English classes at a private language school for children in the Urals region of Russia, a Conversation Analytic [CA] framework was employed to determine: how the talk (specifically turn-taking, adjacency pairs, and repairs) was sequentially organised; if and how the institutional setting constrained the talk; and if previously determined 'universal' structures of talk applied to this Russian academic discourse. This research also tested the hypotheses that the 'universal' structures of talk would apply regardless of gender, but would be used differently by the boys and girls, and by the instructors interacting with them. The relevance of the participants' institutional identities or gender to the interaction was also examined. The analysis showed that the participants did orient to their institutional identities of instructor or student, and the institutional setting did constrain the organisation of talk. The instructors' responses to the interviews and 'student assessment' questionnaires showed that they generally had positive attitudes toward girls and mixed attitudes toward boys. While the underlying sequences, the universal 'rules' of interaction, applied to interactions with both boys and girls, how (and how frequently) the sequences were used did vary by gender (i.e., typically 'male' and 'female' speech styles). Also, some of the organisation of talk showed that the instructors did orient to the students' genders in the classroom. This research is significant as the first CA study of the sequential organisation of talk in an institutional setting in Russia. In general, this research contributes to the CA findings on the organisation of talk in different languages, cultures, and settings; specifically, it provides the first point of comparison of Russian classroom interactions, from a CA perspective, with the large corpus of data already collected in classrooms in the Western tradition of education. Finally, this research is significant as it provides a thorough microanalysis of the relativity of gender-specific verbal behaviour; the analysis also shows how the instructors behave verbally, and in this way produce gender-specific communication styles. / Slavic Linguistics

Les systèmes de dialogue incrémentaux sont capables d’entamer le traitement des paroles de l’utilisateur au moment même où il les prononce (sans attendre de signal de fin de phrase tel un long silence par exemple). Ils peuvent ainsi prendre la parole à n’importe quel moment et l’utilisateur peut faire de même (et interrompre le système). De ce fait, ces systèmes permettent d’effectuer une plus large palette de comportements de prise de parole en comparaison avec les systèmes de dialogue traditionnels. Cette thèse s’articule autour de la problématique suivante : est-il possible pour un système de dialogue incrémental d’apprendre une stratégie optimale de prise de parole de façon autonome? Tout d’abord, une analyse des mécanismes sous-jacents à la dynamique de prise de parole dans une conversation homme-homme a permis d’établir une taxonomie de ces phénomènes. Ensuite, une nouvelle architecture permettant de doter les systèmes de dialogues conventionnels de capacités de traitement incrémentales de la parole, à moindre coût, a été proposée. Dans un premier temps, un simulateur de dialogue destiné à répliquer les comportements incrémentaux de l’utilisateur et de la reconnaissance vocale a été développé puis utilisé pour effectuer les premier tests de stratégies de dialogue incrémentales. Ces dernières ont été développées à base de règles issues de l’analyse effectuée lors de l’établissement de la taxonomie des phénomènes de prise de parole. Les résultats de la simulation montrent que le caractère incrémental permet d’obtenir des interactions plus efficaces. La meilleure stratégie à base de règles a été retenue comme référence pour la suite. Dans un second temps, une stratégie basée sur l’apprentissage par renforcement a été implémentée. Elle est capable d’apprendre à optimiser ses décisions de prise de parole de façon totalement autonome étant donnée une fonction de récompense. Une première comparaison, en simulation, a montré que cette stratégie engendre des résultats encore meilleurs par rapport à la stratégie à base de règles. En guise de validation, une expérience avec des utilisateurs réels a été menée (interactions avec une maison intelligente). Une amélioration significative du taux de complétion de tâche a été constatée dans le cas de la stratégie apprise par renforcement et ce, sans dégradation de l’appréciation globale par les utilisateurs de la qualité du dialogue (en réalité, une légère amélioration a été constatée). / Incremental dialogue systems are able to process the user’s speech as it is spoken (without waiting for the end of a sentence before starting to process it). This makes them able to take the floor whenever they decide to (the user can also speak whenever she wants, even if the system is still holding the floor). As a consequence, they are able to perform a richer set of turn-taking behaviours compared to traditional systems. Several contributions are described in this thesis with the aim of showing that dialogue systems’ turn-taking capabilities can be automatically improved from data. First, human-human dialogue is analysed and a new taxonomy of turn-taking phenomena in human conversation is established. Based on this work, the different phenomena are analysed and some of them are selected for replication in a human-machine context (the ones that are more likely to improve a dialogue system’s efficiency). Then, a new architecture for incremental dialogue systems is introduced with the aim of transforming a traditional dialogue system into an incremental one at a low cost (also separating the turn-taking manager from the dialogue manager). To be able to perform the first tests, a simulated environment has been designed and implemented. It is able to replicate user and ASR behaviour that are specific to incremental processing, unlike existing simulators. Combined together, these contributions led to the establishement of a rule-based incremental dialogue strategy that is shown to improve the dialogue efficiency in a task-oriented situation and in simulation. A new reinforcement learning strategy has also been proposed. It is able to autonomously learn optimal turn-taking behavious throughout the interactions. The simulated environment has been used for training and for a first evaluation, where the new data-driven strategy is shown to outperform both the non-incremental and rule-based incremental strategies. In order to validate these results in real dialogue conditions, a prototype through which the users can interact in order to control their smart home has been developed. At the beginning of each interaction, the turn-taking strategy is randomly chosen among the non-incremental, the rule-based incremental and the reinforcement learning strategy (learned in simulation). A corpus of 206 dialogues has been collected. The results show that the reinforcement learning strategy significantly improves the dialogue efficiency without hurting the user experience (slightly improving it, in fact).

Reading and understanding literature does not necessarily have to be an individual act. The aim of this essay is to investigate what happens when six students read a text by Kazuo Ishiguro A Family Supper and then discuss it in a communicative situation. The essay bases its ideas on the sociocultural theory and the reader-response theory. The sociocultural perspective argues that people develop and progress during social interaction, moreover by communicating with other people and by being inspired and subsequently educated through taking part in different social contexts. My idea with this essay is to observe a literary discussion in a group. The observation emphasizes both the individual contribution to the literary discussion and the function of the group. By analyzing the participation of the individual students, I reached the conclusion that the students deal with literature in many different ways. Some focus only on the text and the plot, others discuss social issues in connection to the text and some only respond to the others’ arguments. When studying the group, I looked at the balance in the group, the turn taking between the members and the level of participation. The reader-response theory bases its idea on the reader and the text and the fact that they are connected in a mutual transaction. Every reader brings his or her experiences to the understanding of the text and thereby a text can have multiple alternative interpretations considering the amount of readers. The analysis section in this essay consists of several parts, such as an individual reflection, a group discussion and an individual evaluation.

This thesis investigates human-robot interaction using an Interaction Analysis methodology. Posing the question how humans manage the interaction with a robot, the study focuses on humans and how they adapt to the robot’s limited conversational and interactional capabilities. As Conversation Analytic research suggests that humans always adjust their actions to a specific recipient, the author assumed to also find this in the interaction with an artificial communicative partner. For this purpose a conventional robot was programmed to play a charade game with human participants. The interaction of the humans with the robot was filmed and analysed within an interaction analytic framework. The study suggests that humans adapt their recipient design with their changing assumptions about the conversational partner. Starting off with different conversational expectations, participants adapt turn design (word selection, turn size, loudness and prosody) first and turn-taking in a second step. Adaptation to the robot is deployed as a means to accomplish a successful interaction. The detailed study of the human perspective in this interaction can yield conclusions for how robots could be improved to facilitate the interaction. As humans adjust to the interactional limitations with varying speed and ease, the limits to which adaptation is most difficult should be addressed first.

The National Agency for Education (Skolverket) and The Swedish National Curriculum have stated that equality between female and male students is important. The present study investigates students in the subject English in Swedish upper secondary school and municipal school for adult education from the perspective of gender dominance in English conversation with a teacher present, with the focus on turn-taking. Two separate observations were made in three classes in adult education and two classes in upper secondary school. The research questions of this investigation are; which gender dominates the on-going conversation in English with a teacher present, how the turns were allocated, given or taken, and if the gender patterns differ between a municipal school for adults and an upper secondary school. The potential impact of the teacher’s sex on the patterns of domination is also taken into consideration. Female dominance as well as male dominance is revealed in the result of the investigated classes’ gender patterns. The results also reveal that the teacher’s sex could have an impact on the patterns of domination.

The National Agency for Education (Skolverket) and The Swedish National Curriculum have stated that equality between female and male students is important. The present study investigates students in the subject English in Swedish upper secondary school and municipal school for adult education from the perspective of gender dominance in English conversation with a teacher present, with the focus on turn-taking. Two separate observations were made in three classes in adult education and two classes in upper secondary school. The research questions of this investigation are; which gender dominates the on-going conversation in English with a teacher present, how the turns were allocated, given or taken, and if the gender patterns differ between a municipal school for adults and an upper secondary school. The potential impact of the teacher’s sex on the patterns of domination is also taken into consideration. Female dominance as well as male dominance is revealed in the result of the investigated classes’ gender patterns. The results also reveal that the teacher’s sex could have an impact on the patterns of domination.

This paper studies the use of violations of conversation principles in the written dialogue of Tyrion Lannister in Game of Thrones. The aim is to establish if and how these violations aid in making him seem clever. The character's dialogues are matched against three theoretical principles: Politeness Theory, The Cooperative Principle and Turn-taking Principles. The findings suggest that by breaking basic principles of conversation, Tyrion provides entertaining dialogue and manages to create unexpected solutions to different threatening situations. Results show an even distribution of strategic violations, among the three theoretical approaches, which could suggest that the dialogue is consciously written to help make the audience feel impressed by the character's features. Tyrion's violations of conversation principles is a contribution in what makes him seem witty. This ability in the character seems to be closely linked to a lack of fear for any negative social consequences. The character's ability to act free from rules of social behavior could be considered one of the reasons behind his popularity among fans of the show.

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This dissertation proposes a new method of studying pragmatic language use in autism spectrum disorder (ASD). The existing research into pragmatic language use in ASD has predominantly used interviews and experiments in clinical environments to gather data from participants with ASD. These research methods focus heavily on comprehension, on comparing the performance of the participant with ASD to their non-autistic interlocutor. The methodology proposed in this thesis involves using observation and a naturalistic environment to gather conversational data that can be used to fill several gaps in the current research on pragmatic language use in ASD. In this study, people with ASD interacted with either non-autistic people or other people with ASD in triadic conversation sessions. These sessions were recorded, transcribed, and analysed for various pragmatic uses of language that previous research had observed were impaired, such as types of non-literal language and conversational turn taking. The pragmatic language use of three participants with ASD, representing three different levels of language ability, was analysed. The results showed that some participants used types of pragmatic language differently based on with whom they were communicating and also that some purported pragmatic impairments in ASD may not be as ‘impaired’ as they seemed based on previous research. For example, while all participants in this study used more interruptions when interacting with others with ASD compared to when interacting with non- autistic people, the rates of interruption were far less than what has been observed between non-autistic speakers (Hancock & Rubin, 2014), even though people with ASD have been described in the research literature as interrupting frequently (Ochs, Kremer-Sadlik, Sirota, & Solomon, 2004). The research presented in this dissertation has implications for future clinical research into pragmatic language impairments in any speech community and provides an additional methodology that can be used, expanding on the types of research questions that can be investigated in this area. / Thesis / Doctor of Philosophy (PhD) / This thesis proposes a new method of studying pragmatic language use in people with autism spectrum disorder (ASD). This methodology involves using observation and the data that can be gathered using it can fill several gaps in the current research on pragmatic language use in ASD. In this study, people with ASD interacted with either non-autistic people or other people with ASD in triadic conversation sessions. These sessions were recorded, transcribed, and analysed for various aspects of pragmatic uses of language. The pragmatic language use of three participants with ASD, representing three different levels of language ability, was analysed. The results showed that some participants used types of pragmatic language differently based on with whom they were communicating and also that some purported pragmatic impairments in ASD may not be as ‘impaired’ as they seemed based on previous research.

Algorithmically designed reward functions can influence groups of learning agents toward measurable desired sequential joint behaviours. Influencing learning agents toward desirable behaviours is non-trivial due to the difficulties of assigning credit for global success to the deserving agents and of inducing coordination. Quantifying joint behaviours lets us identify global success by ranking some behaviours as more desirable than others. We propose a real-valued metric for turn-taking, demonstrating how to measure one sequential joint behaviour. We describe how to identify the presence of turn-taking in simulation results and we calculate the quantity of turn-taking that could be observed between independent random agents. We demonstrate our turn-taking metric by reinterpreting previous work on turn-taking in emergent communication and by analysing a recorded human conversation. Given a metric, we can explore the space of reward functions and identify those reward functions that result in global success in groups of learning agents. We describe 'medium access games' as a model for human and machine communication and we present simulation results for an extensive range of reward functions for pairs of Q-learning agents. We use the Nash equilibria of medium access games to develop predictors for determining which reward functions result in turn-taking. Having demonstrated the predictive power of Nash equilibria for turn-taking in medium access games, we focus on synthesis of reward functions for stochastic games that result in arbitrary desirable Nash equilibria. Our method constructs a reward function such that a particular joint behaviour is the unique Nash equilibrium of a stochastic game, provided that such a reward function exists. This method builds on techniques for designing rewards for Markov decision processes and for normal form games. We explain our reward design methods in detail and formally prove that they are correct.