1,697 research outputs found

    The Margins of the Rational Man: Fluid Identities in Eighteenth-Century Biography

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    This study will explore the Enlightenment conception of the individual of reason, its attempted formulations in actor biographies, and its ultimate denial by the reality of human identity as multiple, fluid, and dialogical. Such fluidity sought to overcome the marginal status of the stage player through the embodiment of rational models of personality. Some stage celebrities, most notably David Garrick, were offering themselves as public models of identity for the new age of reasoned discourse. This involved the presentation before the public of stage performers as fully realized individuals. However, the unavoidable problem was that presenting an individual, even a renowned stage star, as a living paradigm of the enlightened person of reason would prove elusive. Aside from the inherent contradiction of locating any perfected stereotype in an actual person, the qualities making an individual in full conformity to his or her โ€œreasonโ€ did not match the particular cultural qualities demanded for a successful eighteenth-century middle-class Englishman or Englishwoman. Nonetheless, by the last quarter of the eighteenth century, significant advances were made both within the particular profession of acting and before the onstage and offstage public. The acting profession was moving quickly and for the first time in England away from its marginalized status to offer respected agents for cultural change. The new genre of actor biographies as well contributed to this more fully realized formulation of the modern individual

    Editorial

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    Questioning the Rhetorical Eclipse of Philosophical Leisure: Ad Colloquium Conferendum

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    Human communication in our postmodern era has degenerated into phatic communication. Phatic communication, appropriate in some circumstances, used unreflectively limits the ability for the development of healthy, idea-laden conversation. The phatic nature of communication represents a loss of human interest in human communication. Philosophical leisure can help to recapture the element of human interest in conversation, which recuperates an over-abundance of phaticity in human communication. Recuperation of communication occurs when ideas drive conversation. Philosophical leisure can help human beings to find substance for those ideas. This study considers how philosophical leisure can enrich human communication

    The devil is in the e-tale: form and structure in the entrepreneurial narrative.

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    In this chapter we explore the genre of Entrepreneurial Tales, which we refer to as e-tales. The title is an obvious parody of the proverb, The devil is in the detail and reflects the power of entrepreneurial narratives, a power that stems from the normative detail embedded in the moral content of the e-tale. We use the term tale in preference to other descriptors, as the word tale is associated with imaginative creation and even fiction, and also because tales explain themselves. Tales encompass morality and immorality. The purpose of the paper is to show how moral details play an important role in communicating values as a framework to entrepreneurial actions. We demonstrate that morality is an important detail of e-tales and forms a common master theme. The chapter explains what we mean by e-tales and shows how they form narratives which exhort entrepreneurship. We attempt to illustrate how they operate, essentially as instrumental examples - ways of showing that entrepreneurship can be done. We also show how these examples are set in a moral context, one which appears to promote an entrepreneurial ethos replete with an underpinning of moral values. To develop our argument the chapter is organised by first discussing the role of narrative as a cultural dialogue and how narrative provides a legimising frame of reference which is both sensemaking and sensegiving. We then explore the entrepreneurial narrative and show how e-tales confirm the righteousness of entrepreneurial actions by signifying a moral framework and a legitimising context. E-tales are argued to first promote entrepreneurship as practice by emphasising independence, perseverance and the value of success, especially in the face of adversity. They affirm a right way but, the devil in the e-tale, also demonstrate the fall from grace when appropriate ethical conduct is not maintained. Several examples of narrative are then considered. First the classic hagiographic tales of Horatio Alger and Samuel Smiles are presented as stereotypcal examples of e-tales. Next we find confirmation of the same elements in both biographies and novels about entrepreneurs. We also note the similarities in academic commentries about the use of metaphor in narrative. Finally we explore personal e-tales and conclude that e-tales have a definitive structure which emphasises the twin virues of morality and success

    Recurrent neural models and related problems in natural language processing

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    Le rรฉseau de neurones rรฉcurrent (RNN) est lโ€™un des plus puissants modรจles dโ€™apprentissage automatique spรฉcialis รฉs dans la capture des variations temporelles et des dรฉpendances de donnรฉes sรฉquentielles. Grรขce ร  la rรฉsurgence de lโ€™apprentissage en profondeur au cours de la derniรจre d รฉcennie, de nombreuses structures RNN innovantes ont รฉtรฉ invent ฬees et appliquรฉes ร  divers problรจmes pratiques, en particulier dans le domaine du traitement automatique du langage naturel (TALN). Cette thรจse suit une direction similaire, dans laquelle nous proposons de nouvelles perspectives sur les propriรฉtรฉs structurelles des RNN et sur la maniรจre dont les modรจles RNN rรฉcemment proposรฉs peuvent stimuler le developpement de nouveaux problรจmes ouverts en TALN. Cette thรจse se compose de deux parties: lโ€™analyse de modรจle et le traitement de nouveaux problรจmes ouverts. Dans la premiรจre partie, nous explorons deux aspects importants des RNN: lโ€™architecture de leurs connexions et les opรฉrations de base dans leurs fonctions de transition. Plus prรฉcisรฉment, dans le premier article, nous dรฉfinissons plusieurs mesures rigoureuses pour รฉvaluer la complexitรฉ architecturale de toute architecture rรฉcurrente donnรฉe, quelle que soit la topologie du rรฉseau. Des expรฉriences approfondies sur ces mesures dรฉmontrent ร  la fois la validitรฉ thรฉorique de celles-ci, et lโ€™importance de guider la conception des architectures RNN. Dans le deuxiรจme article, nous proposons un nouveau module permettant de combiner plusieurs flux dโ€™informations de maniรจre multiplicative dans les fonctions de tran- sition de base des RNN. Il a รฉtรฉ dรฉmontrรฉ empiriquement que les RNN รฉquipรฉs du nouveau module possรฉdaient de meilleures propriรฉtรฉs de gradient et des capacitรฉs de gรฉnรฉralisation plus grandes sans coรปts de calcul et de mรฉmoire supplรฉmentaires. La deuxiรจme partie se concentre sur deux problรจmes non rรฉsolus de la TALN: comment effectuer un raisonnement avancรฉ ร  sauts multiples en comprรฉhension de texte machine, et comment incorporer des traits de personnalitรฉ dans des systรจmes conversationnels. Nous recueillons deux ensembles de donnรฉes ร  grande รฉchelle, dans le but de motiver les progrรจs mรฉthodologiques sur ces deux problรจmes. Spรฉcifiquement, dans le troisiรจme article, nous introduisons l'ensemble de donnรฉes HotpotQA qui contient plus de 113000 paires question-rรฉponse basรฉes sur Wikipedia. La plupart des questions de HotpotQA ne peuvent rรฉsolues que par un raisonnement multi-saut prรฉcis sur plusieurs documents. Les faits ร  l'appui nรฉces- saires au raisonnement sont รฉgalement fournis pour aider le modรจle ร  รฉtablir des prรฉdictions explicables. Le quatriรจme article aborde le problรจme du manque de personnalitรฉ des chatbots. Le jeu de donnรฉes persona-chat que nous proposons encourage des conversations plus engageantes et cohรฉrentes en conditionnant la personnalitรฉ des membres en conversation sur des personnages spรฉcifiques. Nous montrons des modรจles de base entraรฎnรฉs sur persona-chat sont capables dรฉxprimer des personnalitรฉs cohรฉrentes et de rรฉagir de maniรจre plus captivante en se concentrant sur leurs propres personnages ainsi que ceux de leurs interlocuteurs.The recurrent neural network (RNN) is one of the most powerful machine learning models specialized in capturing temporal variations and dependencies of sequential data. Thanks to the resurgence of deep learning during the past decade, we have witnessed plenty of novel RNN structures being invented and applied to various practical problems especially in the field of natural language processing (NLP). This thesis follows a similar direction, in which we offer new insights about RNNsโ€™ structural properties and how the recently proposed RNN models may stimulate the formation of new open problems in NLP. The scope of this thesis is divided into two parts: model analysis and new open problems. In the first part, we explore two important aspects of RNNs: their connecting architectures and basic operations in their transition functions. Specifically, in the first article, we define several rigorous measurements for evaluating the architectural complexity of any given recurrent architecture with arbitrary network topology. Thoroughgoing experiments on these measurements demonstrate their theoretical validity and utility of guiding the RNN architecture design. In the second article, we propose a novel module to combine different information flows multiplicatively in RNNsโ€™ basic transition functions. RNNs equipped with the new module are empirically showed to have better gradient properties and stronger generalization capacities without extra computational and memory cost. The second part focuses on two open problems in NLP: how to perform advanced multi-hop reasoning in machine reading comprehension and how to encode personalities into chitchat dialogue systems. We collect two different large scale datasets aiming to motivate the methodological progress on these two problems. Particularly, in the third article we introduce HotpotQA dataset containing over 113k Wikipedia based question-answer pairs. Most of the questions in HotpotQA are answerable only through accurate multi-hop reasoning over multiple documents. Supporting facts required for reasoning are also provided to help the model to make explainable predictions. The fourth article tackles the problem of the lack of personality in chatbots. The proposed persona-chat dataset encourages more engaging and consistent conversations by forcing dialog partners conditioning on given personas. We show that baseline models trained on persona-chat are able to express consistent personalities and to respond in more captivating ways by concentrating on personas of both themselves and other interlocutors

    Strategies for securing the unity of the self in Augustine and certain modern psychologists

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    My thesis explores what is involved in attaining an integrated sense of self, a question which is both interesting in its own right and which can also provide one enlightening means of comparing the disciplines of theology and psychology. The first two chapters establish the theological method to be followed and provide an ideological context. I describe why the relationship between theology and psychology is a particularly problematic one and outline why I think some of the methods so far proposed for relating them are unsatisfactory. I suggest instead that in some respects the two disciplines may be seen as providing alternative strategies for securing the unity of the self. With the aid of Charles Taylor's philosophy of personhood, I set out what I mean by the self and what constitutes the unity of the self. I describe how the modem self has developed historically through the relation of individuals to sources of value, and I suggest that theology and some forms of psychology can be understood as offering expressions of complementary sources of such value and hence can be related to one another. I consider postmodern attacks on the unified self and conclude that our contemporary context is one which demands less strongly ordered forms of integrating the self than those which have come down to us in the Western intellectual tradition. The next four chapters focus on the work of key representatives of the theological and psychological traditions. From the side of theology, I describe Augustine's conviction that an individual might move from a state of fragmentation to a state of wholeness through being remade in the image of the one God (chapter 3). From the psychological side, I consider Freud's methods for enabling us to move from a state of neurosis to limited self-mastery (chapter 4), and Jung's suggestion that wholeness is attained though discovery and acceptance of the natural realm lying within the psyche (chapter 5). 1 then review the proposals for uniting the self behind the project of self-actualisation that have been developed by the humanistic psychologists, in particular Fromm, Maslow and Rogers (chapter 6).In conclusion (chapter 7) 1 suggest some ways in which Augustine's theology needs to be revised if it is to be relevant to our contemporary self-understanding, and show how the most promising strategy for unifying the self is likely to arise from a combination of an Augustinian theistic outlook with the insights of these modem psychologists

    ์ •์‹ ๊ฑด๊ฐ•์—์„œ ์‚ฌ์šฉ์ž ๋‚ด๋Ÿฌํ‹ฐ๋ธŒ์™€ ์ž์•„์„ฑ์ฐฐ์„ ์ง€์›ํ•˜๋Š” ๋Œ€ํ™”ํ˜• ์—์ด์ „ํŠธ ๋””์ž์ธ

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ) -- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ์œตํ•ฉ๊ณผํ•™๋ถ€(๋””์ง€ํ„ธ์ •๋ณด์œตํ•ฉ์ „๊ณต), 2020. 8. ์„œ๋ด‰์›.In the advent of artificial intelligence (AI), we are surrounded by technological gadgets, devices and intelligent personal assistant (IPAs) that voluntarily take care of our home, work and social networks. They help us manage our life for the better, or at least that is what they are designed for. As a matter of fact, few are, however, designed to help us grapple with the thoughts and feelings that often construct our living. In other words, technologies hardly help us think. How can they be designed to help us reflect on ourselves for the better? In the simplest terms, self-reflection refers to thinking deeply about oneself. When we think deeply about ourselves, there can be both positive and negative consequences. On the one hand, reflecting on ourselves can lead to a better self-understanding, helping us achieve life goals. On the other hand, we may fall into brooding and depression. The sad news is that the two are usually intertwined. The problem, then, is the irony that reflecting on oneself by oneself is not easy. To tackle this problem, this work aims to design technology in the form of a conversational agent, or a chatbot, to encourage a positive self-reflection. Chatbots are natural language interfaces that interact with users in text. They work at the tip of our hands as if SMS or instant messaging, from flight reservation and online shopping to news service and healthcare. There are even chatbot therapists offering psychotherapy on mobile. That machines can now talk to us creates an opportunity for designing a natural interaction that used to be humans own. This work constructs a two-dimensional design space for translating self-reflection into a human-chatbot interaction, with user self-disclosure and chatbot guidance. Users confess their thoughts and feelings to the bot, and the bot is to guide them in the scaffolding process. Previous work has established an extensive line of research on the therapeutic effect of emotional disclosure. In HCI, reflection design has posited the need for guidance, e.g. scaffolding users thoughts, rather than assuming their ability to reflect in a constructive manner. The design space illustrates different reflection processes depending on the levels of user disclosure and bot guidance. Existing reflection technologies have most commonly provided minimal levels of disclosure and guidance, and healthcare technologies the opposite. It is the aim of this work to investigate the less explored space by designing chatbots called Bonobot and Diarybot. Bonobot differentiates itself from other bot interventions in that it only motivates the idea of change rather than direct engagement. Diarybot is designed in two chat versions, Basic and Responsive, which create novel interactions for reflecting on a difficult life experience by explaining it to and exploring it with a chatbot. These chatbots are set up for a user study with 30 participants, to investigate the user experiences of and responses to design strategies. Based on the findings, challenges and opportunities from designing for chatbot-guided reflection are explored. The findings of this study are as follows. First, participants preferred Bonobots questions that prompted the idea of change. Its responses were also appreciated, but only when they conveyed accurate empathy. Thus questions, coupled with empathetic responses, could serve as a catalyst for disclosure and even a possible change of behavior, a motivational boost. Yet the chatbot-led interaction led to surged user expectations for the bot. Participants demanded more than just the guidance, such as solutions and even superhuman intelligence. Potential tradeoff between user engagement and autonomy in designing human-AI partnership is discussed. Unlike Bonobot, Diarybot was designed with less guidance to encourage users own narrative making. In both Diarybot chats, the presence of a bot could make it easier for participants to share the most difficult life experiences, compared to a no-chatbot writing condition. Yet an increased interaction with the bot in Responsive chat could lead to a better user engagement. On the contrary, more emotional expressiveness and ease of writing were observed with little interaction in Basic chat. Coupled with qualitative findings that reveal user preference for varied interactions and tendency to adapt to bot patterns, predictability and transparency of designing chatbot interaction are discussed in terms of managing user expectations in human-AI interaction. In sum, the findings of this study shed light on designing human-AI interaction. Chatbots can be a potential means of supporting guided disclosure on lifes most difficult experiences. Yet the interaction between a machine algorithm and an innate human cognition bears interesting questions for the HCI community, especially in terms of user autonomy, interface predictability, and design transparency. Discussing the notion of algorithmic affordances in AI agents, this work proposes meaning-making as novel interaction design metaphor: In the symbolic interaction via language, AI nudges users, which inspires and engages users in their pursuit of making sense of lifes agony. Not only does this metaphor respect user autonomy but also it maintains the veiled workings of AI from users for continued engagement. This work makes the following contributions. First, it designed and implemented chatbots that can provide guidance to encourage user narratives in self-reflection. Next, it offers empirical evidence on chatbot-guided disclosure and discusses implications for tensions and challenges in design. Finally, this work proposes meaning-making as a novel design metaphor. It calls for the responsible design of intelligent interfaces for positive reflection in pursuit of psychological wellbeing, highlighting algorithmic affordances and interpretive process of human-AI interaction.์ตœ๊ทผ ์ธ๊ณต์ง€๋Šฅ(Artificial Intelligence; AI) ๊ธฐ์ˆ ์€ ์šฐ๋ฆฌ ์‚ถ์˜ ๋ฉด๋ฉด์„ ๋งค์šฐ ๋น ๋ฅด๊ฒŒ ๋ฐ”๊ฟ”๋†“๊ณ  ์žˆ๋‹ค. ํŠนํžˆ ์• ํ”Œ์˜ ์‹œ๋ฆฌ(Siri)์™€ ๊ตฌ๊ธ€ ์–ด์‹œ์Šคํ„ดํŠธ (Google Assistant) ๋“ฑ ์ž์—ฐ์–ด ์ธํ„ฐํŽ˜์ด์Šค(natural language interfaces)์˜ ํ™•์žฅ์€ ๊ณง ์ธ๊ณต์ง€๋Šฅ ์—์ด์ „ํŠธ์™€์˜ ๋Œ€ํ™”๊ฐ€ ์ธํ„ฐ๋ž™์…˜์˜ ์ฃผ์š” ์ˆ˜๋‹จ์ด ๋  ๊ฒƒ์ž„์„ ๋Šฅํžˆ ์ง์ž‘์ผ€ ํ•œ๋‹ค. ์‹ค์ƒ ์ธ๊ณต์ง€๋Šฅ ์—์ด์ „ํŠธ๋Š” ์‹ค์ƒํ™œ์—์„œ ์ฝ˜ํ…์ธ  ์ถ”์ฒœ๊ณผ ์˜จ๋ผ์ธ ์‡ผํ•‘ ๋“ฑ ๋‹ค์–‘ํ•œ ์„œ๋น„์Šค๋ฅผ ์ œ๊ณตํ•˜๊ณ  ์žˆ์ง€๋งŒ, ์ด๋“ค์˜ ๋Œ€๋ถ€๋ถ„์€ ๊ณผ์—…-์ง€ํ–ฅ์ ์ด๋‹ค. ์ฆ‰ ์ธ๊ณต์ง€๋Šฅ์€ ์šฐ๋ฆฌ์˜ ์‚ถ์„ ํŽธ๋ฆฌํ•˜๊ฒŒ ํ•˜์ง€๋งŒ, ๊ณผ์—ฐ ํŽธ์•ˆํ•˜๊ฒŒ ํ•  ์ˆ˜ ์žˆ๋Š”๊ฐ€? ๋ณธ ์—ฐ๊ตฌ๋Š” ํŽธํ•˜์ง€๋งŒ ํŽธํ•˜์ง€ ์•Š์€ ํ˜„๋Œ€์ธ์„ ์œ„ํ•œ ๊ธฐ์ˆ ์˜ ์—ญํ• ์„ ๊ณ ๋ฏผํ•˜๋Š” ๋ฐ์—์„œ ์ถœ๋ฐœํ•œ๋‹ค. ์ž์•„์„ฑ์ฐฐ(self-reflection), ์ฆ‰ ์ž์‹ ์— ๋Œ€ํ•ด ๊นŠ์ด ์ƒ๊ฐํ•ด ๋ณด๋Š” ํ™œ๋™์€ ์ž๊ธฐ์ธ์‹๊ณผ ์ž๊ธฐ์ดํ•ด๋ฅผ ๋„๋ชจํ•˜๊ณ  ๋ฐฐ์›€๊ณผ ๋ชฉํ‘œ์˜์‹์„ ๊ณ ์ทจํ•˜๋Š” ๋“ฑ ๋ถ„์•ผ๋ฅผ ๋ง‰๋ก ํ•˜๊ณ  ๋„๋ฆฌ ์—ฐ๊ตฌ ๋ฐ ์ ์šฉ๋˜์–ด ์™”๋‹ค. ํ•˜์ง€๋งŒ ์ž์•„์„ฑ์ฐฐ์˜ ๊ฐ€์žฅ ํฐ ์–ด๋ ค์›€์€ ์Šค์Šค๋กœ ๊ฑด์„ค์ ์ธ ์„ฑ์ฐฐ์„ ๋„๋ชจํ•˜๊ธฐ ํž˜๋“ค๋‹ค๋Š” ๊ฒƒ์ด๋‹ค. ํŠนํžˆ, ๋ถ€์ •์ ์ธ ๊ฐ์ •์  ๊ฒฝํ—˜์— ๋Œ€ํ•œ ์ž์•„์„ฑ์ฐฐ์€ ์ข…์ข… ์šฐ์šธ๊ฐ๊ณผ ๋ถˆ์•ˆ์„ ๋™๋ฐ˜ํ•œ๋‹ค. ๊ทน๋ณต์ด ํž˜๋“  ๊ฒฝ์šฐ ์ƒ๋‹ด ๋˜๋Š” ์น˜๋ฃŒ๋ฅผ ์ฐพ์„ ์ˆ˜ ์žˆ์ง€๋งŒ, ์‚ฌํšŒ์  ๋‚™์ธ๊ณผ ์žฃ๋Œ€์˜ ๋ถ€๋‹ด๊ฐ์œผ๋กœ ๊บผ๋ ค์ง€๋Š” ๊ฒฝ์šฐ๊ฐ€ ๋‹ค์ˆ˜์ด๋‹ค. ์„ฑ์ฐฐ ๋””์ž์ธ(Reflection Design)์€ ์ธ๊ฐ„-์ปดํ“จํ„ฐ์ƒํ˜ธ์ž‘์šฉ(HCI)์˜ ์˜ค๋žœ ํ™”๋‘๋กœ, ๊ทธ๋™์•ˆ ํšจ๊ณผ์ ์ธ ์„ฑ์ฐฐ์„ ๋„์šธ ์ˆ˜ ์žˆ๋Š” ๋””์ž์ธ ์ „๋žต๋“ค์ด ๋‹ค์ˆ˜ ์—ฐ๊ตฌ๋˜์–ด ์™”์ง€๋งŒ ๋Œ€๋ถ€๋ถ„ ๋‹ค์–‘ํ•œ ์‚ฌ์šฉ์ž ๋ฐ์ดํ„ฐ ์ˆ˜์ง‘ ์ „๋žต์„ ํ†ตํ•ด ๊ณผ๊ฑฐ ํšŒ์ƒ ๋ฐ ํ•ด์„์„ ๋•๋Š” ๋ฐ ๊ทธ์ณค๋‹ค. ์ตœ๊ทผ ์†Œ์œ„ ์ฑ—๋ด‡ ์ƒ๋‹ด์‚ฌ๊ฐ€ ๋“ฑ์žฅํ•˜์—ฌ ์‹ฌ๋ฆฌ์ƒ๋‹ด๊ณผ ์น˜๋ฃŒ ๋ถ„์•ผ์— ์ ์šฉ๋˜๊ณ  ์žˆ์ง€๋งŒ, ์ด ๋˜ํ•œ ์„ฑ์ฐฐ์„ ๋•๊ธฐ๋ณด๋‹ค๋Š” ํšจ์œจ์ ์ธ ์ฒ˜์น˜ ๋„๊ตฌ์— ๋จธ๋ฌด๋ฅด๊ณ  ์žˆ์„ ๋ฟ์ด๋‹ค. ์ฆ‰ ๊ธฐ์ˆ ์€ ์น˜๋ฃŒ ์ˆ˜๋‹จ์ด๊ฑฐ๋‚˜ ์„ฑ์ฐฐ์˜ ๋Œ€์ƒ์ด ๋˜์ง€๋งŒ, ๊ทธ ๊ณผ์ •์— ๊ฐœ์ž…ํ•˜๋Š” ๊ฒฝ์šฐ๋Š” ์ œํ•œ์ ์ด๋ผ๊ณ  ํ•  ์ˆ˜ ์žˆ๋‹ค. ์ด์— ๋ณธ ์—ฐ๊ตฌ๋Š” ์„ฑ์ฐฐ ๋™๋ฐ˜์ž๋กœ์„œ ๋Œ€ํ™”ํ˜• ์—์ด์ „ํŠธ์ธ ์ฑ—๋ด‡์„ ๋””์ž์ธํ•  ๊ฒƒ์„ ์ œ์•ˆํ•œ๋‹ค. ์ด ์ฑ—๋ด‡์˜ ์—ญํ• ์€ ์‚ฌ์šฉ์ž์˜ ๋ถ€์ •์ ์ธ ๊ฐ์ •์  ๊ฒฝํ—˜ ๋˜๋Š” ํŠธ๋ผ์šฐ๋งˆ์— ๋Œ€ํ•ด ์ด์•ผ๊ธฐํ•  ์ˆ˜ ์žˆ๋„๋ก ๋„์šธ ๋ฟ ์•„๋‹ˆ๋ผ, ๊ทธ ๊ณผ์ •์—์„œ ๋ฐ˜์ถ”๋ฅผ ํ†ต์ œํ•˜์—ฌ ๊ฑด์„ค์ ์ธ ๋‚ด๋Ÿฌํ‹ฐ๋ธŒ๋ฅผ ์ด๋Œ์–ด ๋‚ด๋Š” ๊ฐ€์ด๋“œ๋ฅผ ์ œ๊ณตํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ์ด๋Ÿฌํ•œ ์ฑ—๋ด‡์„ ์„ค๊ณ„ํ•˜๊ธฐ ์œ„ํ•ด, ์„ ํ–‰ ์—ฐ๊ตฌ๋ฅผ ๊ธฐ๋ฐ˜์œผ๋กœ ์‚ฌ์šฉ์ž์˜ ์ž๊ธฐ๋…ธ์ถœ(user self-disclosure)๊ณผ ์ฑ—๋ด‡ ๊ฐ€์ด๋“œ(guidance)๋ฅผ ๋‘ ์ถ•์œผ๋กœ ํ•œ ๋””์ž์ธ ๊ณต๊ฐ„(design space)์„ ์ •์˜ํ•˜์˜€๋‹ค. ๊ทธ๋ฆฌ๊ณ  ์ž๊ธฐ๋…ธ์ถœ๊ณผ ๊ฐ€์ด๋“œ์˜ ์ •๋„์— ๋”ฐ๋ฅธ ๋„ค ๊ฐ€์ง€ ์ž์•„์„ฑ์ฐฐ ๊ฒฝํ—˜์„ ๋ถ„๋ฅ˜ํ•˜์˜€๋‹ค: ์ž๊ธฐ๋…ธ์ถœ๊ณผ ๊ฐ€์ด๋“œ๊ฐ€ ์ตœ์†Œํ™”๋œ ํšŒ์ƒ ๊ณต๊ฐ„, ์ž๊ธฐ๋…ธ์ถœ์ด ์œ„์ฃผ์ด๊ณ  ๊ฐ€์ด๋“œ๊ฐ€ ์ตœ์†Œํ™”๋œ ์„ค๋ช… ๊ณต๊ฐ„, ์ž๊ธฐ๋…ธ์ถœ๊ณผ ์ฑ—๋ด‡์ด ์ด๋„๋Š” ๊ฐ€์ด๋“œ๊ฐ€ ํ˜ผํ•ฉ๋œ ํƒ์ƒ‰ ๊ณต๊ฐ„, ๊ฐ€์ด๋“œ๋ฅผ ์ ๊ทน ๊ฐœ์ž…์‹œ์ผœ ์ž๊ธฐ๋…ธ์ถœ์„ ๋†’์ด๋Š” ๋ณ€ํ™” ๊ณต๊ฐ„์ด ๊ทธ๊ฒƒ์ด๋‹ค. ๋ณธ ์—ฐ๊ตฌ์˜ ๋ชฉํ‘œ๋Š” ์ƒ์ˆ ๋œ ๋””์ž์ธ ๊ณต๊ฐ„์—์„œ์˜ ์„ฑ์ฐฐ ๊ฒฝํ—˜๊ณผ ๊ณผ์ •์„ ๋•๋Š” ์ฑ—๋ด‡์„ ๊ตฌํ˜„ํ•˜๊ณ , ์‚ฌ์šฉ์ž ์‹คํ—˜์„ ํ†ตํ•ด ์„ฑ์ฐฐ ๊ฒฝํ—˜๊ณผ ๋””์ž์ธ ์ „๋žต์— ๋Œ€ํ•œ ๋ฐ˜์‘์„ ์ˆ˜์ง‘ ๋ฐ ๋ถ„์„ํ•จ์œผ๋กœ์จ ์ฑ—๋ด‡ ๊ธฐ๋ฐ˜์˜ ์ž์•„ ์„ฑ์ฐฐ ์ธํ„ฐ๋ž™์…˜์„ ์ƒˆ๋กญ๊ฒŒ ์ œ์‹œํ•˜๊ณ  ์ด์— ๋Œ€ํ•œ ์‹ค์ฆ์  ๊ทผ๊ฑฐ๋ฅผ ๋งˆ๋ จํ•˜๋Š” ๊ฒƒ์ด๋‹ค. ํ˜„์žฌ๊นŒ์ง€ ๋งŽ์€ ์„ฑ์ฐฐ ๊ธฐ์ˆ ์€ ํšŒ์ƒ์— ์ง‘์ค‘๋˜์–ด ์žˆ๊ธฐ์—, ๋‚˜๋จธ์ง€ ์„ธ ๊ณต๊ฐ„์—์„œ์˜ ์„ฑ์ฐฐ์„ ์ง€์›ํ•˜๋Š” ๋ณด๋…ธ๋ด‡๊ณผ ๊ธฐ๋ณธํ˜•๋ฐ˜์‘ํ˜• ์ผ๊ธฐ๋ด‡์„ ๋””์ž์ธํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์‚ฌ์šฉ์ž ํ‰๊ฐ€๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ๋„์ถœํ•œ ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด ๋„๋ž˜ํ•œ ์ธ๊ฐ„-์ธ๊ณต์ง€๋Šฅ ์ƒํ˜ธ์ž‘์šฉ(human-AI interaction)์˜ ๋งฅ๋ฝ์—์„œ ์„ฑ์ฐฐ ๋™๋ฐ˜์ž๋กœ์„œ์˜ ์ฑ—๋ด‡ ๊ธฐ์ˆ ์ด ๊ฐ–๋Š” ์˜๋ฏธ์™€ ์—ญํ• ์„ ํƒ๊ตฌํ•œ๋‹ค. ๋ณด๋…ธ๋ด‡๊ณผ ์ผ๊ธฐ๋ด‡์€ ์ธ๊ฐ„์ค‘์‹ฌ์ƒ๋‹ด๊ณผ ๋Œ€ํ™”๋ถ„์„์˜ ์ด๋ก ์  ๊ทผ๊ฑฐ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ํ•œ ์ •์„œ์ง€๋Šฅ(emotional intelligence)๊ณผ ์ ˆ์ฐจ์ง€๋Šฅ(proecedural intelligence)์„ ํ•ต์‹ฌ ์ถ•์œผ๋กœ, ๋Œ€ํ™” ํ๋ฆ„ ์ œ์–ด(flow manager)์™€ ๋ฐœํ™” ์ƒ์„ฑ(response generator)์„ ํ•ต์‹ฌ ๋ชจ๋“ˆ๋กœ ๊ตฌํ˜„ํ•˜์˜€๋‹ค. ๋จผ์ €, ๋ณด๋…ธ๋ด‡์€ ๋™๊ธฐ๊ฐ•ํ™”์ƒ๋‹ด(motivational interviewing)์„ ๊ธฐ๋ฐ˜์œผ๋กœ ๊ณ ๋ฏผ๊ณผ ์ŠคํŠธ๋ ˆ์Šค์— ๋Œ€ํ•œ ๋‚ด๋Ÿฌํ‹ฐ๋ธŒ๋ฅผ ์ด๋Œ์–ด๋‚ด์–ด, ์ด์— ๋Œ€ํ•œ ํ•ด๊ฒฐ์„ ์œ„ํ•œ ๊ฐ€์ด๋“œ ์งˆ๋ฌธ์„ ํ†ตํ•ด ๋ณ€ํ™”๋ฅผ ์œ„ํ•œ ์„ฑ์ฐฐ์„ ๋•๋Š”๋‹ค. ์ฑ—๋ด‡์˜ ๊ตฌํ˜„์„ ์œ„ํ•ด, ๋™๊ธฐ๊ฐ•ํ™”์ƒ๋‹ด์˜ ๋„ค ๋‹จ๊ณ„ ๋Œ€ํ™”๋ฅผ ์„ค์ •ํ•˜๊ณ  ๊ฐ ๋‹จ๊ณ„๋ฅผ ๊ตฌ์„ฑํ•  ์ˆ˜ ์žˆ๋Š” ์ƒ๋‹ด์‚ฌ ๋ฐœํ™” ํ–‰๋™์„ ๊ด€๋ จ๋ฌธํ—Œ์—์„œ ์ˆ˜์ง‘ ๋ฐ ์ „์ฒ˜๋ฆฌ ๊ณผ์ •์„ ๊ฑฐ์ณ ์Šคํฌ๋ฆฝํŠธํ™”ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์‚ฌ์ „ ์ „์ฒ˜๋ฆฌ๋œ ๋ฌธ์žฅ์ด ๋งฅ๋ฝ์„ ์œ ์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ๋Œ€ํ™”์— ์“ฐ์ผ ์ˆ˜ ์žˆ๋„๋ก, ๋Œ€ํ™”์˜ ์ฃผ์ œ๋Š” ๋Œ€ํ•™์›์ƒ์˜ ์–ด๋ ค์›€์œผ๋กœ ํ•œ์ •ํ•˜์˜€๋‹ค. ๋ณด๋…ธ๋ด‡๊ณผ์˜ ๋Œ€ํ™”๊ฐ€ ์‚ฌ์šฉ์ž์˜ ์„ฑ์ฐฐ์— ๋ฏธ์น˜๋Š” ์˜ํ–ฅ๊ณผ ์ด์— ๋Œ€ํ•œ ์ธ์‹์„ ํƒ์ƒ‰ํ•˜๊ธฐ ์œ„ํ•ด ์งˆ์  ์—ฐ๊ตฌ๋ฐฉ๋ฒ•์„ ์‚ฌ์šฉํ•˜์—ฌ 30๋ช…์˜ ๋Œ€ํ•™์›์ƒ๊ณผ ์‚ฌ์šฉ์ž ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์‹คํ—˜๊ฒฐ๊ณผ, ์‚ฌ์šฉ์ž๋Š” ๋ณ€ํ™” ๋Œ€ํ™”๋ฅผ ์œ ๋„ํ•  ์ˆ˜ ์žˆ๋Š” ๋‹ค์–‘ํ•œ ํƒ์ƒ‰ ์งˆ๋ฌธ์„ ์„ ํ˜ธํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์‚ฌ์šฉ์ž์˜ ๋งฅ๋ฝ์— ์ •ํ™•ํžˆ ๋“ค์–ด๋งž๋Š” ์งˆ๋ฌธ๊ณผ ํ”ผ๋“œ๋ฐฑ์€ ์‚ฌ์šฉ์ž๋ฅผ ๋”์šฑ ์ ๊ทน์ ์ธ ์ž๊ธฐ ๋…ธ์ถœ๋กœ ์ด๋Œ๊ฒŒ ํ•  ์ˆ˜ ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ๊ทธ๋Ÿฌ๋‚˜ ์ฑ—๋ด‡์ด ๋งˆ์น˜ ์ƒ๋‹ด์‚ฌ์ฒ˜๋Ÿผ ๋Œ€ํ™”๋ฅผ ์ด๋Œ์–ด๊ฐˆ ๊ฒฝ์šฐ, ๋†’์•„์ง„ ์‚ฌ์šฉ์ž์˜ ๊ธฐ๋Œ€ ์ˆ˜์ค€์œผ๋กœ ์ธํ•ด ์ผ๋ถ€ ์‚ฌ์šฉ์ž๊ฐ€ ๋ณ€ํ™”์— ๋Œ€ํ•œ ๋™๊ธฐ๋ฅผ ํ‘œ์ถœํ•˜์˜€์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ๋ณ€ํ™”์— ๋Œ€ํ•œ ์ž์œจ์„ฑ์„ ์ฑ—๋ด‡์— ์–‘๋„ํ•˜๋ ค๋Š” ๋ชจ์Šต ๋˜ํ•œ ๋‚˜ํƒ€๋‚จ์„ ๋ถ„์„ํ•˜์˜€๋‹ค. ๋ณด๋…ธ๋ด‡ ์—ฐ๊ตฌ๋ฅผ ๋ฐ”ํƒ•์œผ๋กœ ์ผ๊ธฐ๋ด‡์€ ์ฑ—๋ด‡ ๋Œ€์‹  ์‚ฌ์šฉ์ž๊ฐ€ ๋ณด๋‹ค ์ ๊ทน์ ์œผ๋กœ ์„ฑ์ฐฐ ๋‚ด๋Ÿฌํ‹ฐ๋ธŒ๋ฅผ ์ „๊ฐœํ•  ์ˆ˜ ์žˆ๋„๋ก ๋””์ž์ธํ•˜์˜€๋‹ค. ์ผ๊ธฐ๋ด‡์€ ํŠธ๋ผ์šฐ๋งˆ์— ๋Œ€ํ•œ ํ‘œํ˜„์  ๊ธ€์“ฐ๊ธฐ๋ฅผ ์ง€์›ํ•˜๋Š” ์ฑ—๋ด‡์œผ๋กœ, ๊ธฐ๋ณธํ˜• ๋˜๋Š” ๋ฐ˜์‘ํ˜• ๋Œ€ํ™”๋ฅผ ์ œ๊ณตํ•œ๋‹ค. ๊ธฐ๋ณธํ˜• ๋Œ€ํ™”๋Š” ํŠธ๋ผ์šฐ๋งˆ์— ๋Œ€ํ•ด ์ž์œ ๋กญ๊ฒŒ ์„ค๋ช…ํ•  ์ˆ˜ ์žˆ๋Š” ๋Œ€ํ™” ํ™˜๊ฒฝ์„ ์ œ๊ณตํ•˜๊ณ , ๋ฐ˜์‘ํ˜• ๋Œ€ํ™”๋Š” ์‚ฌ์šฉ์ž๊ฐ€ ์ž‘์„ฑํ•œ ๋‚ด๋Ÿฌํ‹ฐ๋ธŒ์— ๋Œ€ํ•œ ํ›„์† ์ธํ„ฐ๋ž™์…˜์„ ํ†ตํ•ด ๊ณผ๊ฑฐ์˜ ๊ฒฝํ—˜์„ ์žฌํƒ์ƒ‰ํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ๋˜ํ•œ, ํ›„์† ์ธํ„ฐ๋ž™์…˜์˜ ๋ฐœํ™” ํ–‰๋™์€ ๋‹ค์–‘ํ•œ ์ƒ๋‹ด์น˜๋ฃŒ์—์„œ ๋ฐœ์ทŒํ•˜๋˜ ์œ ์ €์˜ ๋‚ด๋Ÿฌํ‹ฐ๋ธŒ์—์„œ ์ถ”์ถœํ•œ ๊ฐ์ •์–ด ๋ฐ ์ธ๊ฐ„๊ด€๊ณ„ ํ‚ค์›Œ๋“œ๋ฅผ ํ™œ์šฉํ•˜๋„๋ก ํ•˜์˜€๋‹ค. ๊ฐ ์ผ๊ธฐ๋ด‡์— ๋Œ€ํ•œ ๋ฐ˜์‘์„ ๋น„๊ต ๋ถ„์„ํ•˜๊ธฐ ์œ„ํ•ด, ์ฑ—๋ด‡ ์—†์ด ๋„ํ๋จผํŠธ์— ํ‘œํ˜„์  ๊ธ€์“ฐ๊ธฐ ํ™œ๋™๋งŒ์„ ํ•˜๋Š” ๋Œ€์กฐ๊ตฐ์„ ์„ค์ •ํ•˜๊ณ  30๋ช…์˜ ์‚ฌ์šฉ์ž๋ฅผ ๋ชจ์ง‘ํ•˜์—ฌ ๊ฐ ์กฐ๊ฑด์— ๋žœ๋ค์œผ๋กœ ๋ฐฐ์ •, ์„ค๋ฌธ๊ณผ ๋ฉด๋‹ด์„ ๋™๋ฐ˜ํ•œ 4์ผ๊ฐ„์˜ ๊ธ€์“ฐ๊ธฐ ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์‹คํ—˜๊ฒฐ๊ณผ, ์‚ฌ์šฉ์ž๋Š” ์ผ๊ธฐ๋ด‡๊ณผ์˜ ์ธํ„ฐ๋ž™์…˜์„ ํ†ตํ•ด ๋ณด์ด์ง€ ์•Š๋Š” ๊ฐ€์ƒ์˜ ์ฒญ์ž๋ฅผ ์ƒ์ƒํ•จ์œผ๋กœ์จ ๊ธ€์“ฐ๊ธฐ๋ฅผ ๋Œ€ํ™” ํ™œ๋™์œผ๋กœ ์ธ์ง€ํ•˜๊ณ  ์žˆ์Œ์„ ์•Œ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ํŠนํžˆ, ๋ฐ˜์‘ํ˜• ๋Œ€ํ™”์˜ ํ›„์† ์งˆ๋ฌธ๋“ค์€ ์‚ฌ์šฉ์ž๋กœ ํ•˜์—ฌ๊ธˆ ์ƒํ™ฉ์„ ๊ฐ๊ด€ํ™”ํ•˜๊ณ  ์ƒˆ๋กœ์šด ๊ด€์ ์œผ๋กœ ์ƒ๊ฐํ•ด ๋ณผ ์ˆ˜ ์žˆ๋Š” ํšจ๊ณผ๋ฅผ ๊ฑฐ๋‘์—ˆ๋‹ค. ๋ฐ˜์‘ํ˜• ๋Œ€ํ™”์—์„œ ํ›„์† ์ธํ„ฐ๋ž™์…˜์„ ๊ฒฝํ—˜ํ•œ ์‚ฌ์šฉ์ž๋Š” ์ผ๊ธฐ๋ด‡์˜ ์ธ์ง€๋œ ์ฆ๊ฑฐ์›€๊ณผ ์‚ฌํšŒ์„ฑ, ์‹ ๋ขฐ๋„์™€ ์žฌ์‚ฌ์šฉ ์˜ํ–ฅ์— ๋Œ€ํ•œ ํ‰๊ฐ€๊ฐ€ ๋‹ค๋ฅธ ๋‘ ์กฐ๊ฑด์—์„œ๋ณด๋‹ค ์œ ์˜ํ•˜๊ฒŒ ๋†’์•˜๋‹ค. ๋ฐ˜๋ฉด, ๊ธฐ๋ณธํ˜• ๋Œ€ํ™” ์ฐธ์—ฌ์ž๋Š” ๋‹ค๋ฅธ ๋‘ ์กฐ๊ฑด์—์„œ๋ณด๋‹ค ๊ฐ์ •์  ํ‘œํ˜„์˜ ์šฉ์ด์„ฑ๊ณผ ๊ธ€์“ฐ๊ธฐ์˜ ์–ด๋ ค์›€์„ ๊ฐ๊ฐ ์œ ์˜ํ•˜๊ฒŒ ๋†’๊ฒŒ, ๊ทธ๋ฆฌ๊ณ  ๋‚ฎ๊ฒŒ ํ‰๊ฐ€ํ•˜์˜€๋‹ค. ์ฆ‰, ์ฑ—๋ด‡์€ ๋งŽ์€ ์ธํ„ฐ๋ž™์…˜ ์—†์ด๋„ ์ฒญ์ž์˜ ์—ญํ• ์„ ์ˆ˜ํ–‰ํ•  ์ˆ˜ ์žˆ์—ˆ์ง€๋งŒ, ํ›„์† ์งˆ๋ฌธ์„ ํ†ตํ•œ ์ธํ„ฐ๋ž™์…˜์ด ๊ฐ€๋Šฅํ–ˆ๋˜ ๋ฐ˜์‘ํ˜• ๋Œ€ํ™”๋Š” ๋”์šฑ ์ ๊ทน์ ์ธ ์œ ์ € ์ฐธ์—ฌ(engagement)๋ฅผ ์ด๋Œ์–ด๋‚ผ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ, ์‹คํ—˜์ด ์ง„ํ–‰๋จ์— ๋”ฐ๋ผ, ์‚ฌ์šฉ์ž๊ฐ€ ๋ฐ˜์‘ํ˜• ์ผ๊ธฐ๋ด‡์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ์ž์‹ ์˜ ๊ธ€์“ฐ๊ธฐ ์ฃผ์ œ์™€ ๋‹จ์–ด ์„ ํƒ ๋“ฑ์„ ๋งž๊ฒŒ ๋ฐ”๊พธ์–ด ๊ฐ€๋Š” ์ ์‘์ (adaptive) ํ–‰๋™์ด ๊ด€์ฐฐ๋˜์—ˆ๋‹ค. ์•ž์„  ์—ฐ๊ตฌ๊ฒฐ๊ณผ๋ฅผ ํ†ตํ•ด, ๋‹ค์–‘ํ•œ ์ฑ—๋ด‡ ๋””์ž์ธ ์ „๋žต์„ ๋ฐ”ํƒ•์œผ๋กœ ์‚ฌ์šฉ์ž์˜ ๋‚ด๋Ÿฌํ‹ฐ๋ธŒ๊ฐ€ ๋‹ค๋ฅด๊ฒŒ ์œ ๋„๋  ์ˆ˜ ์žˆ์œผ๋ฉฐ, ๋”ฐ๋ผ์„œ ์„œ๋กœ ๋‹ค๋ฅธ ์œ ํ˜•์˜ ์„ฑ์ฐฐ ๊ฒฝํ—˜์„ ์ด๋Œ์–ด๋‚ผ ์ˆ˜ ์žˆ์Œ์„ ๋ฐœ๊ฒฌํ•˜์˜€๋‹ค. ๋˜ํ•œ, ์ž์œจ์ ์ธ ํ–‰์œ„์ธ ์ž์•„์„ฑ์ฐฐ์ด ๊ธฐ์ˆ ๊ณผ์˜ ์ƒํ˜ธ์ž‘์šฉ์œผ๋กœ ํ˜ธํ˜œ์  ์„ฑ์งˆ์„ ๊ฐ–๊ฒŒ ๋  ๋•Œ ์‚ฌ์šฉ์ž์˜ ์ž์œจ์„ฑ, ์ƒํ˜ธ์ž‘์šฉ์˜ ์˜ˆ์ธก๊ฐ€๋Šฅ์„ฑ๊ณผ ๋””์ž์ธ ํˆฌ๋ช…์„ฑ์—์„œ ๋ฐœ์ƒํ•  ์ˆ˜ ์žˆ๋Š” ๊ฐˆ๋“ฑ๊ด€๊ณ„(tensions)๋ฅผ ํƒ์ƒ‰ํ•˜๊ณ  ์ธ๊ณต์ง€๋Šฅ ์—์ด์ „ํŠธ์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์–ดํฌ๋˜์Šค(algorithmic affordances)๋ฅผ ๋…ผ์˜ํ•˜์˜€๋‹ค. ๋ณด์ด์ง€ ์•Š๋Š” ์ฑ—๋ด‡ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ์˜ํ•ด ์‚ฌ์šฉ์ž์˜ ์„ฑ์ฐฐ์ด ์œ ๋„๋  ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์€ ๊ธฐ์กด์˜ ์ธ๊ฐ„-์ปดํ“จํ„ฐ ์ƒํ˜ธ์ž‘์šฉ์—์„œ ๊ฐ•์กฐ๋˜๋Š” ์‚ฌ์šฉ์ž ์ œ์–ด์™€ ๋””์ž์ธ ํˆฌ๋ช…์„ฑ์—์„œ ์ „๋ณต์„ ์ดˆ๋ž˜ํ•˜๋Š” ๊ฒƒ์ฒ˜๋Ÿผ ๋ณด์ผ ์ˆ˜ ์žˆ์œผ๋‚˜, ์ƒ์ง•์  ์ƒํ˜ธ์ž‘์šฉ(symbolic interaction)์˜ ๋งฅ๋ฝ์—์„œ ์˜คํžˆ๋ ค ์‚ฌ์šฉ์ž๊ฐ€ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ์˜ํ•ด ์ง€๋‚˜๊ฐ„ ๊ณผ๊ฑฐ์— ๋Œ€ํ•œ ์ƒˆ๋กœ์šด ์˜๋ฏธ๋ฅผ ์ ๊ทน ํƒ์ƒ‰ํ•ด๋‚˜๊ฐ€๋Š” ๊ณผ์ •์ด ๋  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด๊ฒƒ์„ ์ƒˆ๋กœ์šด ๋””์ž์ธ ๋ฉ”ํƒ€ํฌ, ์ฆ‰ ์˜๋ฏธ-๋งŒ๋“ค๊ธฐ(meaning-making)๋กœ ์ œ์•ˆํ•˜๊ณ  ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๋„›์ง€(nudge)์— ์˜ํ•œ ์‚ฌ์šฉ์ž์˜ ์ฃผ๊ด€์  ํ•ด์„ ๊ฒฝํ—˜(interpretive process)์„ ๊ฐ•์กฐํ•œ๋‹ค. ์ด๊ฒƒ์€ ํ•˜๋‚˜์˜ ์ฑ—๋ด‡ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด๋ผ ํ• ์ง€๋ผ๋„ ์„œ๋กœ ๋‹ค๋ฅธ ์‚ฌ์šฉ์ž์˜ ๋‹ค์–‘ํ•œ ์„ฑ์ฐฐ ๊ฒฝํ—˜์„ ์œ ๋„ํ•ด๋‚ผ ์ˆ˜ ์žˆ๋‹ค๋Š” ๊ฒƒ์„ ์˜๋ฏธํ•˜๋ฉฐ, ์ด๋Ÿฌํ•œ ๋งฅ๋ฝ์—์„œ ์ธ๊ณต์ง€๋Šฅ์€ ๊ธฐ์กด์˜ ๋ธ”๋ž™ ๋ฐ•์Šค๋ฅผ ์œ ์ง€ํ•˜๋ฉด์„œ๋„ ์‚ฌ์šฉ์ž์˜ ์ž์œจ์„ฑ์„ ๋ณด์žฅํ•  ์ˆ˜ ์žˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์šฐ๋ฆฌ์™€ ํ˜‘์—…ํ•˜๋Š” ์ธ๊ณต์ง€๋Šฅ ์ฑ—๋ด‡ ๊ธฐ์ˆ ์˜ ๋””์ž์ธ์— ๋Œ€ํ•œ ๊ฒฝํ—˜์  ์ดํ•ด๋ฅผ ๋†’์ด๊ณ , ์ด๋ก ์„ ๊ธฐ๋ฐ˜์œผ๋กœ ํ•œ ์ฑ—๋ด‡์„ ๊ตฌํ˜„ํ•จ์œผ๋กœ์จ ๋””์ž์ธ ์ „๋žต์— ๋Œ€ํ•œ ์‹ค์ฆ์  ๊ทผ๊ฑฐ๋ฅผ ์ œ์‹œํ•œ๋‹ค. ๋˜ํ•œ ์ž์•„ ์„ฑ์ฐฐ ๊ณผ์ •์— ๋™ํ–‰ํ•˜๋Š” ๋™๋ฐ˜์ž(companion)๋กœ์„œ์˜ ๊ธฐ์ˆ ๋กœ ์ƒˆ๋กœ์šด ๋””์ž์ธ ๋ฉ”ํƒ€ํฌ๋ฅผ ์ œ์‹œํ•จ์œผ๋กœ์จ ์ธ๊ฐ„์ปดํ“จํ„ฐ์ƒํ˜ธ์ž‘์šฉ(HCI)์˜ ์ด๋ก ์  ํ™•์žฅ์— ๊ธฐ์—ฌํ•˜๊ณ , ์‚ฌ์šฉ์ž์˜ ๋ถ€์ •์  ๊ฒฝํ—˜์— ๋Œ€ํ•œ ์˜๋ฏธ ์ถ”๊ตฌ๋ฅผ ๋•๋Š” ๊ด€๊ณ„์ง€ํ–ฅ์  ์ธ๊ณต์ง€๋Šฅ์œผ๋กœ์„œ ํ–ฅํ›„ ํ˜„๋Œ€์ธ์˜ ์ •์‹ ๊ฑด๊ฐ•์— ์ด๋ฐ”์ง€ํ•  ์ˆ˜ ์žˆ๋Š” ์‚ฌํšŒ์ , ์‚ฐ์—…์  ์˜์˜๋ฅผ ๊ฐ–๋Š”๋‹ค.CHAPTER 1. INTRODUCTION ๏ผ‘ 1.1. BACKGROUND AND MOTIVATION ๏ผ‘ 1.2. RESEARCH GOAL AND QUESTIONS ๏ผ• 1.2.1. Research Goal ๏ผ• 1.2.2. Research Questions ๏ผ• 1.3. MAJOR CONTRIBUTIONS ๏ผ˜ 1.4. THESIS OVERVIEW ๏ผ™ CHAPTER 2. LITERATURE REVIEW ๏ผ‘๏ผ‘ 2.1. THE REFLECTING SELF ๏ผ‘๏ผ‘ 2.1.1. Self-Reflection and Mental Wellbeing ๏ผ‘๏ผ‘ 2.1.2. The Self in Reflective Practice ๏ผ‘๏ผ• 2.1.3. Design Space ๏ผ’๏ผ’ 2.2. SELF-REFLECTION IN HCI ๏ผ’๏ผ– 2.2.1. Reflection Design in HCI ๏ผ’๏ผ– 2.2.2. HCI for Mental Wellbeing ๏ผ“๏ผ– 2.2.3. Design Opportunities ๏ผ”๏ผ 2.3. CONVERSATIONAL AGENT DESIGN ๏ผ”๏ผ’ 2.3.1. Theoretical Background ๏ผ”๏ผ’ 2.3.2. Technical Background ๏ผ”๏ผ— 2.3.3. Design Strategies ๏ผ”๏ผ™ 2.4. SUMMARY ๏ผ–๏ผ™ CHAPTER 3. DESIGNING CHATBOT FOR TRANSFORMATIVE REFLECTION ๏ผ—๏ผ‘ 3.1. DESIGN GOAL AND DECISIONS ๏ผ—๏ผ‘ 3.2. CHATBOT IMPLEMENTATION ๏ผ—๏ผ– 3.2.1. Emotional Intelligence ๏ผ—๏ผ– 3.2.2. Procedural Intelligence ๏ผ—๏ผ— 3.3. EXPERIMENTAL USER STUDY ๏ผ—๏ผ™ 3.3.1. Participants ๏ผ—๏ผ™ 3.3.2. Task ๏ผ˜๏ผ 3.3.3. Procedure ๏ผ˜๏ผ 3.3.4. Ethics Approval ๏ผ˜๏ผ 3.3.5. Surveys and Interview ๏ผ˜๏ผ‘ 3.4. RESULTS ๏ผ˜๏ผ’ 3.4.1. Survey Findings ๏ผ˜๏ผ’ 3.4.2. Qualitative Findings ๏ผ˜๏ผ“ 3.5. IMPLICATIONS ๏ผ˜๏ผ˜ 3.5.1. Articulating Hopes and Fears ๏ผ˜๏ผ™ 3.5.2. Designing for Guidance ๏ผ™๏ผ‘ 3.5.3. Rethinking Autonomy ๏ผ™๏ผ’ 3.6. SUMMARY ๏ผ™๏ผ” CHAPTER 4. DESIGNING CHATBOTS FOR EXPLAINING AND EXPLORING REFLECTIONS ๏ผ™๏ผ– 4.1. DESIGN GOAL AND DECISIONS ๏ผ™๏ผ– 4.1.1. Design Decisions for Basic Chat ๏ผ™๏ผ˜ 4.1.2. Design Decisions for Responsive Chat ๏ผ™๏ผ˜ 4.2. CHATBOT IMPLEMENTATION ๏ผ‘๏ผ๏ผ’ 4.2.1. Emotional Intelligence ๏ผ‘๏ผ๏ผ“ 4.2.2. Procedural Intelligence ๏ผ‘๏ผ๏ผ• 4.3. EXPERIMENTAL USER STUDY ๏ผ‘๏ผ๏ผ– 4.3.1. Participants ๏ผ‘๏ผ๏ผ– 4.3.2. Task ๏ผ‘๏ผ๏ผ— 4.3.3. Procedure ๏ผ‘๏ผ๏ผ— 4.3.4. Safeguarding of Study Participants and Ethics Approval ๏ผ‘๏ผ๏ผ˜ 4.3.5. Surveys and Interviews ๏ผ‘๏ผ๏ผ˜ 4.4. RESULTS ๏ผ‘๏ผ‘๏ผ‘ 4.4.1. Quantitative Findings ๏ผ‘๏ผ‘๏ผ‘ 4.4.2. Qualitative Findings ๏ผ‘๏ผ‘๏ผ˜ 4.5. IMPLICATIONS ๏ผ‘๏ผ’๏ผ— 4.5.1. Telling Stories to a Chatbot ๏ผ‘๏ผ’๏ผ˜ 4.5.2. Designing for Disclosure ๏ผ‘๏ผ“๏ผ 4.5.3. Rethinking Predictability and Transparency ๏ผ‘๏ผ“๏ผ’ 4.6. SUMMARY ๏ผ‘๏ผ“๏ผ“ CHAPTER 5. DESIGNING CHATBOTS FOR SELF-REFLECTION: SUPPORTING GUIDED DISCLOSURE ๏ผ‘๏ผ“๏ผ• 5.1. DESIGNING FOR GUIDED DISCLOSURE ๏ผ‘๏ผ“๏ผ™ 5.1.1. Chatbots as Virtual Confidante ๏ผ‘๏ผ“๏ผ™ 5.1.2. Routine and Variety in Interaction ๏ผ‘๏ผ”๏ผ‘ 5.1.3. Reflection as Continued Experience ๏ผ‘๏ผ”๏ผ” 5.2. TENSIONS IN DESIGN ๏ผ‘๏ผ”๏ผ• 5.2.1. Adaptivity ๏ผ‘๏ผ”๏ผ• 5.2.2. Autonomy ๏ผ‘๏ผ”๏ผ— 5.2.3. Algorithmic Affordance ๏ผ‘๏ผ”๏ผ˜ 5.3. MEANING-MAKING AS DESIGN METAPHOR ๏ผ‘๏ผ•๏ผ 5.3.1. Meaning in Reflection ๏ผ‘๏ผ•๏ผ‘ 5.3.2. Meaning-Making as Interaction ๏ผ‘๏ผ•๏ผ“ 5.3.3. Making Meanings with AI ๏ผ‘๏ผ•๏ผ• CHAPTER 6. CONCLUSION ๏ผ‘๏ผ•๏ผ˜ 6.1. RESEARCH SUMMARY ๏ผ‘๏ผ•๏ผ˜ 6.2. LIMITATIONS AND FUTURE WORK ๏ผ‘๏ผ–๏ผ‘ 6.3. FINAL REMARKS ๏ผ‘๏ผ–๏ผ“ BIBLIOGRAPHY ๏ผ‘๏ผ–๏ผ• ABSTRACT IN KOREAN ๏ผ‘๏ผ™๏ผ’Docto

    Ever Again: Legal Remembrance of Administrative Massacre

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    Ann Batten Cristall and the Lyrical Sketch: The Influence of Eighteenth-Century Aesthetics on Lyric Performativity

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    There is only a small body of scholarship on British Romantic poet Ann Batten Cristall who published one collection, Poetical Sketches, in 1795. This thesis analyzes the songs of her diverse collection, which have yet to receive substantive critical attention. I clarify the nature of her aesthetic by introducing the โ€œlyrical sketchโ€ as a genre in which she works, reimagining the โ€œirregularitiesโ€ of her poetry as instances of innovation. The scholarship on Cristall has tended to be feminist as it seeks to repair her literary reputation. Comparisons between Cristall and Blake are common and seek to legitimize her work by arguing that her genius is similar to Blakeโ€™s. While comparing her to Blake in this manner gives Cristall some credibility, it does so at the expense of recognizing her unique contribution to the lyric genre. I put Cristall and Blakeโ€™s lyrics in dialogue by placing them on a lyric spectrum with Fryeโ€™s pictorial and musical boundaries. My hope is that this alternative methodology illustrates the way in which Cristall can help us read Blake as much as he provides insight into reading her poetry. This project and its approach reaffirm the importance of reading poetry by women in a shared tradition with male writers, resulting in a more comprehensive genre study that nuances the construction of the British Romantic lyric. Although I offer a critique of current strategies to recover the work of women writers, my project shares a similar feminist motivation. Cristallโ€™s poetry questions the construction of the solitary (male) lyric speaker. In demystifying the aura of the isolated speaker, Cristall complicates the addresser-addressee relationship, opening up the lyric to the reader. Additionally, she confounds the notion that genius and the role of the lyric โ€œIโ€ are the prerogatives of men. The first chapter examines Cristallโ€™s meter and rhythm in light of late eighteenth-century understandings of the arts to elucidate her key aesthetic principles of verbal immediacy, derivative of the sketch, and lyric performativity. Consideration of the cultures of the visual arts and music combined with formalist readings reveals that Cristallโ€™s lyrical sketch is more musical than pictorial. I argue that she achieves these rhetorical effects through her manipulation of genre in the lyrical sketch. In the second chapter, I contrast her songs to William Blakeโ€™s โ€œIntroductionโ€ to Songs of Innocence to better define the lyrical sketch and to highlight Cristallโ€™s formal ingenuity. The juxtaposition of Cristallโ€™s musical lyrical sketch with Blakeโ€™s pictorial illuminated lyric demonstrates the dialectical interaction of the rhetorical strategies of the visual arts (immediacy) and of music (performativity). In Cristallโ€™s poetry, it becomes evident that lyrical sonority subsumes the visual aspects of the sketch. Finally, I conclude with the hypothesis that the lyrical sketch, and its challenges to traditional notions of the lyric, is not a genre that unique to Cristall, and warrants further study.http://deepblue.lib.umich.edu/bitstream/2027.42/113264/1/Paull - Project.pdf3
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