945 research outputs found

    Readings for Racial Justice: A Project of the IWCA SIG on Antiracism Activism

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    Literacy education across languages in writing centers.

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    Literacy education in writing carried out through writing centers (WCs) is a practice that occurs beyond one individual language; rather, almost every developed country provides some extent of education regarding written communication in an alternate language, whether facilitated through a WC or a classroom. Many of these countriesโ€™ methods for writing education have been documented in either self-reported evaluation or surveys; however, this documentation of methods is only the beginning of a larger conversation about how these international writing methods have evolved into discussions on topics related to these methods. Writing education that occurs in multiples languages within the same institution is one such example that is vitally important for further study. It opens up the topic of research on how the approach to writing education might change from one language to another, and if so, the degree to which tutors and institutions should cater to that change for the purpose of fostering more effective tutoring and/or teaching

    Value Co-Creation in Smart Services: A Functional Affordances Perspective on Smart Personal Assistants

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    In the realm of smart services, smart personal assistants (SPAs) have become a popular medium for value co-creation between service providers and users. The market success of SPAs is largely based on their innovative material properties, such as natural language user interfaces, machine learning-powered request handling and service provision, and anthropomorphism. In different combinations, these properties offer users entirely new ways to intuitively and interactively achieve their goals and thus co-create value with service providers. But how does the nature of the SPA shape value co-creation processes? In this paper, we look through a functional affordances lens to theorize about the effects of different types of SPAs (i.e., with different combinations of material properties) on usersโ€™ value co-creation processes. Specifically, we collected SPAs from research and practice by reviewing scientific literature and web resources, developed a taxonomy of SPAsโ€™ material properties, and performed a cluster analysis to group SPAs of a similar nature. We then derived 2 general and 11 cluster-specific propositions on how different material properties of SPAs can yield different affordances for value co-creation. With our work, we point out that smart services require researchers and practitioners to fundamentally rethink value co-creation as well as revise affordances theory to address the dynamic nature of smart technology as a service counterpart

    Pedagogy and power relations in English studies ; insights from literary and rhetorical theory

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    In this dissertation, I examine, against a history of current literature and composition teaching, the question of teacher authority versus student freedom in four different sites: the writing conference, especially as it takes place in writing centers; theโ€œopenโ€ class discussion, particularly the issue of whether it encourages dissent or defusesit; non authoritarian strategies such as teaching in a circle and all they signify about classroom hierarchies; and the use of networked computers in the reading and writing course, which has been both endorsed and excoriated by leaders in the discipline.Chapter two draws heavily on recent social constructionist theories of composition to interrogate tutoring practices, while chapter three employs critiques of Mikhail Bakhtinโ€™s dialogism in questioning models of classroom conversation. Chapter three problematizes, through applications of Louis Althusser and Michel Foucault, what may be seen as utopian techniques rooted in Paulo Freire and his followers. Finally, chapter five uses the theorists of the preceding three chapters, and touches briefly upon JacquesDerrida, in the analysis of online class interactions. Each site reveals the paradox thatEnglish pedagogies that at first seem liberatory for both teachers and students often reveal themselves, under theoretical and empirical pressure, as conservative at best and oppressive at worst. In each chapter and an afterword, I propose a demystifying pedagogy for English studies that foregrounds asymmetrical power relations between teachers and students and allows instructors to proclaim their vision of social justice

    Chinese International Students\u27 Informal Second Language (L2) Learning Through Technology for Enhancing Lived Experiences in Canada

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    An increasing amount of attention has been drawn to international studentsโ€™ academic development in the context of studying abroad; however, few studies shed light on studentsโ€™ studying and lived experiences outside of school. This thesis explores how technology can enhance Chinese international studentsโ€™ informal acquisition of second language (L2) and their lived experiences in Canada. Through a qualitative case study, I describe what language difficulties newly arrived Chinese international students encounter, and how they cope with those language difficulties through technology-assisted informal L2 learning. Data sources include in-depth interviews and follow-up interviews, participantsโ€™ personal narratives, and researchersโ€™ reflective journals. Theories of multiliteracies, basic interpersonal communicative skills and cognitive academic language proficiency distinction, as well as a communicative competence framework have been adopted as the theoretical frameworks for data analysis. The findings show that newly arrived Chinese international studentsโ€™ major language difficulties includes lack of non-academic vocabulary, lack of understanding of sociocultural differences, and unfamiliarity with informal context embedded phrases. To overcome these language difficulties, they creatively design informal L2 learning experiences through the combinational use of technology tools. The results have significant implications for newly arrived Chinese international studentsโ€™ informal L2 learning

    Social Student Bodies in the IM World: Digital Vernaculars and Self-Reflexive Rhetoric

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    Recent rhetoric, composition, and literacy scholarship has refocused attention on the bodyโ€™s role in reading and writing, arguing against abstracting literacy practices and texts from material situations, contexts, and the physical bodies who create them. This scholarship challenges descriptions and accounts of emerging media and digital writing situations as โ€œdisembodying.โ€ This thesis argues that in the โ€œIM worldโ€ in which incoming college students learn to write by participating in online communities, their digital writing can be considered โ€œembodiedโ€ as real-world, socially-situated practice. By actively participating in online communities, many incoming college students learn distinct online language practices outside of school; they acquire digital vernacular literacy practices that can be useful when they encounter school literacies. To illustrate the importance of digital vernaculars for students growing up in the IM world, this project analyzes digital classroom writing from thirty-one students at the University of Tennessee. Writing online in blog and chat forums, these students drew from past digital rhetorical knowledge to produce identity-building writing with wide- ranging motives while negotiating present academic writing situations. The project concludes by suggesting that incorporating digital writing in classroom situations can help first-year writing teachers teach students to become self-reflective rhetorical practitioners, rhetors who use all available means across different writing situations and domains

    Framing university small group talk : knowledge construction through lexical concepts

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    PhD ThesisKnowledge construction in educational discourse continues to interest practitioners and researchers due to the conceptually โ€œnaturalโ€ connection between knowledge and learning for professional development. Frames have conceptual and practical advantages over other units of inquiry concerning meaning negotiation for knowledge construction. They are relatively stable data-structures representing prototypical situations retrieved from real world experiences, cover larger units of meaning beyond the immediate sequential mechanism at interaction, and have been inherently placed at the semantic-pragmatic interface for empirical observation. Framing in a particular context โ€“ university small group talk has been an under-researched field, while the relationship between talk and knowledge through collaborative work has been identified below/at the Higher Educational level. Involving higher level cognitive activities and distinct interactional patterns, university small group talk is worth close examination and systematic investigation. This study applies Corpus Linguistics and Interactional Linguistics approaches to examine a subset of a one-million-word corpus of university small group talk at a UK university. Specifically, it provides a detailed examination of the participantsโ€™ framing behaviours for knowledge construction through their talk of disciplinary lexical concepts. Analysis reveals how the participants draw upon schematized knowledge structures evoked by particular lexical choices and how they invoke expanded scenarios via pragmatic mappings in the ongoing interaction. Additionally, it is demonstrated how the framing moves are related to the structural uniqueness of university small group talk, the contextualized speaker roles and the institutional procedures and routines. This study deepens the understanding of the relationship between linguistically constructed knowledge and the way interlocutors conceptualize the world through institutionalized collaboration, building upon the existing research on human reliance upon structures to interpret reality at both the conceptual and the action levels. The study also addresses interaction research in Higher Educational settings, by discussing how the cognitive-communicative duality of framing is sensitive to various contextual resources, distinct discourse structures and task procedures through the group dynamics

    Designing online learning for scientific writing: Collaborations, creations and transformations

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    This thesis is a multilayered approach to understanding the complex processes involved in designing, developing, implementing and evaluating online learning environments for academic writing in discipline contexts. The study is broadly situated in the field of educational design research (EDR). It brings together theories of pedagogical design, including those of multimodality and educational linguistics, with the practical implementation and evaluation of designs in context. From an applied perspective, the research addresses the problem of providing support for students to improve their academic writing, in particular the writing of the laboratory report genre, a key genre in science and engineering disciplines. For teachers and others involved in the design of online teaching and learning, the aim is to provide design principles to support the process of creating effective resources to teach academic writing online. These principles cover all stages of the process from design to evaluation. The thesis comprises three main stages which focus on the processes involved in the development of an online program for supporting students writing a report in Physiology, the Flexible Electronic Report-writing Tool (FLERT). The first focuses on the collaborations of the design team in creating the online learning resources within a โ€˜communities of practiceโ€™ framework. I use discourse analysis, based on the theory of systemic functional linguistics (SFL), to identify knowledge and relationship building among participants. The second draws on both multimodal social semiotics and SFL to examine how network and screen designs created for laboratory report writing programs in science and engineering have evolved over time. The third uses a multi- and mixed methods approach, together with SFL, to examine two cycles of implementation and evaluation of FLERT to assess how students have transformed their learning through their interactions with the program. The relationships among the outcomes from these three stages provides insights into: โ€ข the practice of design for learning; โ€ข the meaning making characteristics of the products of design for teaching and learning purposes; โ€ข the interactions of student users with the designed products and the influence of design features on student learning; โ€ข design principles, both general principles for online learning program design and those, at a more local level, for teaching academic writing online

    ์ •์‹ ๊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
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