39 research outputs found

    The 2018 Winter Olympics: A Showcase of Technological Advancement

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    The 2018 Olympic Winter Games in Pyeongchang was a showcase of South Koreaโ€™s technological advancements and sophistication. Sponsors such as Intel, KT, and Samsung demonstrated some record-breaking achievements during the games, and viewers and athletes alike experienced some of the most advanced and sophisticated uses of a wide range of technologies

    Broadbandmatters.com: Recommended Broadband New for Around the Web, February 26, 2018

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    Weekly newsletter produced by the Iowa Communications Network Department. This newsletter includes information about all of the different matters that are going on in the state of Iowa

    Implications of Pop Cultural Diplomacy: An Analysis of Idol-State Interactions

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    This paper uses media coverage of idol-state interactions to understand the ways in which states utilize pop culture as a component of their public diplomacy strategy. Idol-state interactions are defined as an event where a pop cultural figure accompanies or is accompanied by a state official to a formal meeting with a representative of a foreign government. Looking specifically at South Korean diplomatic events where K-Pop idols are present, I find that idol-state interactions have the potential to increase media coverage, further cultural understanding and serve as a relationship-building tool

    Re-presenting China in Digital Immersive Art: Virtual Reality, Imaginaries, and Cultural Presence

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    The thesis explores how digital technology, in particular virtual reality and augmented reality, is playing a role in Chinaโ€™s rejuvenation, especially in relation to cultural displays, performances, and art exhibitions. This project examines how audiences, both in China and globally, respond to โ€˜Digital Chinaโ€™, a concept describing how peopleโ€™s everyday lives in China are becoming superconnected by digital technology. Qualitative methodology with a multi-perspectival approach is applied to advance the aim of the project

    ์ธ๊ณต์ง€๋Šฅ์„ ์ด์šฉํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ธฐ๋ฐ˜์˜ ์‹œ์Šคํ…œ๊ณผ ์‚ฌ์šฉ์ž์˜ ์ธํ„ฐ๋ž™์…˜์— ๋Œ€ํ•œ ์ดํ•ด

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    ํ•™์œ„๋…ผ๋ฌธ (๋ฐ•์‚ฌ)-- ์„œ์šธ๋Œ€ํ•™๊ต ๋Œ€ํ•™์› : ์œตํ•ฉ๊ณผํ•™๊ธฐ์ˆ ๋Œ€ํ•™์› ์œตํ•ฉ๊ณผํ•™๋ถ€(๋””์ง€ํ„ธ์ •๋ณด์œตํ•ฉ์ „๊ณต), 2019. 2. ์„œ๋ด‰์›.์ปดํ“จํŒ… ํŒŒ์›Œ์˜ ๊ฐœ์„ , ์ธํ„ฐ๋„ท๊ณผ ์†Œ์…œ๋ฏธ๋””์–ด, ๋ชจ๋ฐ”์ผ ๋””๋ฐ”์ด์Šค ๋“ฑ์˜ ๋ณด๊ธ‰์„ ํ†ตํ•œ ์ˆ˜๋งŽ์€ ๋ฐ์ดํ„ฐ์˜ ์ถ•์ , ๋”ฅ๋Ÿฌ๋‹์„ ๋น„๋กฏํ•œ ๊ธฐ๊ณ„ํ•™์Šต ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ๋ฐœ์ „์œผ๋กœ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ์ˆ ์ด ์–ด๋Š๋•Œ๋ณด๋‹ค ๋”์šฑ ํฐ ์„ฑ๊ณผ๋ฅผ ๋ณด์ด๊ณ  ์žˆ๋‹ค. ์Œ์„ฑ ์ธ์‹, ์ปดํ“จํ„ฐ ๋น„์ „, ์ž์—ฐ์–ด ์ฒ˜๋ฆฌ ๋“ฑ์˜ ๋ถ„์•ผ์—์„œ ์ธ๊ณต์ง€๋Šฅ์€ ์ด๋ฏธ ์ธ๊ฐ„์— ํ•„์ ํ•˜๊ฑฐ๋‚˜ ํ˜น์€ ์ธ๊ฐ„์„ ๋›ฐ์–ด๋„˜๋Š” ์„ฑ๋Šฅ์„ ๋ณด์ด๊ณ  ์žˆ์œผ๋ฉฐ, ์ž์œจ์ฃผํ–‰, ๋กœ๋ด‡, ์˜๋ฃŒ์„œ๋น„์Šค ๋“ฑ์˜ ๋‹ค์–‘ํ•œ ๋ถ„์•ผ์— ์ ์šฉ๋˜์–ด ์šฐ๋ฆฌ์˜ ์‚ถ์— ๋งŽ์€ ๋ณ€ํ™”๋ฅผ ๊ฐ€์ ธ์˜ฌ ๊ฒƒ์œผ๋กœ ๊ธฐ๋Œ€๋œ๋‹ค. ํ•˜์ง€๋งŒ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ์ธก๋ฉด์—์„œ์˜ ๊ธฐ์ˆ ์ ์ธ ๋ฐœ์ „์— ๋น„ํ•ด ์ธ๊ณต์ง€๋Šฅ์˜ ์ธ๊ฐ„๊ณตํ•™์  ์š”์†Œ์™€ ์‚ฌ์šฉ์ž ๊ฒฝํ—˜์— ๋Œ€ํ•œ ๊ด€์‹ฌ๊ณผ ๋…ผ์˜๊ฐ€ ์ƒ๋Œ€์ ์œผ๋กœ ๋ถ€์กฑํ•œ ํŽธ์ด๋‹ค. ์ด์— ์ด ์—ฐ๊ตฌ๋Š” ์ธ๊ฐ„์ปดํ“จํ„ฐ์ƒํ˜ธ์ž‘์šฉ์˜ ๊ด€์ ์—์„œ ์ธ๊ณต์ง€๋Šฅ๊ณผ ์‚ฌ์šฉ์ž๊ฐ€ ์ƒํ˜ธ์ž‘์šฉ ํ•˜๋Š” ๋ฐฉ์‹์— ๋Œ€ํ•ด ๋‹ค์ธต์ ์ด๊ณ  ํ†ตํ•ฉ์ ์œผ๋กœ ์ดํ•ดํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•˜๊ณ  ์ด๋ฅผ ํ†ตํ•ด ์ธ๊ณต์ง€๋Šฅ ๊ธฐ๋ฐ˜์˜ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค ๋””์ž์ธ์„ ์œ„ํ•œ ํ•จ์˜์ ์„ ๋„์ถœํ•˜๋Š” ๊ฒƒ์„ ๋ชฉํ‘œ๋กœ ํ•œ๋‹ค. ํŠนํžˆ ์ด ๋…ผ๋ฌธ์€ ์ธ๊ณต์ง€๋Šฅ ๊ธฐ์ˆ ์„ ์ด์šฉํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ธฐ๋ฐ˜์˜ ์‹œ์Šคํ…œ๊ณผ ์‚ฌ์šฉ์ž์˜ ์ƒํ˜ธ์ž‘์šฉ์— ์ฃผ๋ชฉํ•˜๊ณ , ์ด๋ฅผ ๋Œ€์ƒ์œผ๋กœ ์ธ์ง€, ํ•ด์„ ๋ฐ ํ‰๊ฐ€, ์ง€์†์ ์ธ ์ธํ„ฐ๋ž™์…˜, ์‹ค์šฉ์ ์ธ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์ฃผ์ œ๋กœ ํ•œ ๋„ค ๋‹จ๊ณ„์˜ ์—ฐ๊ตฌ๋ฅผ ๊ธฐํšํ•˜๊ณ  ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์ฒซ๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋Œ€ํ•œ ์‚ฌ๋žŒ๋“ค์˜ ์„ ํ—˜์  ์ธ์‹์„ ์กฐ์‚ฌํ•˜์˜€๋‹ค. ์—ฐ๋ น๊ณผ ์„ฑ๋ณ„, ์ง์—…์˜ ๋‹ค์–‘์„ฑ์„ ๊ณ ๋ คํ•˜์—ฌ ์ธ๊ตฌํ†ต๊ณ„ํ•™์  ๋Œ€ํ‘œ์„ฑ์„ ๊ฐ–๋Š” ์ฐธ๊ฐ€์ž๋ฅผ ๋ชจ์ง‘ํ•˜์˜€์œผ๋ฉฐ, ์ด๋“ค์„ ๋Œ€์ƒ์œผ๋กœ ์ธ๊ณต์ง€๋Šฅ ์ธ์‹์— ๋Œ€ํ•œ ์ •์„ฑ์  ๋ฐฉ์‹์˜ ์กฐ์‚ฌ๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์กฐ์‚ฌ ๊ฒฐ๊ณผ ์‚ฌ๋žŒ๋“ค์ด ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋Œ€ํ•ด ๊ฐ–๋Š” ์„ ์ž…๊ฒฌ๊ณผ ๊ณ ์ •๊ด€๋…์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ์œผ๋ฉฐ, ์‚ฌ๋žŒ๋“ค์ด ์ธ๊ณต์ง€๋Šฅ์„ ์˜์ธํ™” ํ•  ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ํƒ€์žํ™” ํ•˜๋Š” ๊ฒฝํ–ฅ์ด ์žˆ์Œ์„ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ์‚ฌ์šฉ์ž์˜ ๊ด€๊ณ„์—์„œ ์ง€์†์ ์ด๊ณ  ์ „์ฒด์ ์ธ ๊ฒฝํ—˜์ด ์ค‘์š”ํ•จ์„ ํ™•์ธํ•˜์˜€๋‹ค. ๋‘๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž์˜ ํ•ด์„๊ณผ ํ‰๊ฐ€์— ๊ด€ํ•œ ๊ฒƒ์ด๋‹ค. ์ด๋ฅผ ์œ„ํ•ด ์ด๋ฏธ์ง€์˜ ๋ฏธ์  ์ ์ˆ˜๋ฅผ ๊ณ„์‚ฐํ•ด์ฃผ๋Š” ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ๊ตฌํ˜„๋œ AI Mirror๋ผ๋Š” ์—ฐ๊ตฌ ํ”„๋กœํ† ํƒ€์ž…์„ ์ œ์ž‘ํ•˜์˜€์œผ๋ฉฐ, ์ธ๊ณต์ง€๋Šฅ/๊ธฐ๊ณ„ํ•™์Šต ๋ถ„์•ผ์˜ ์ „๋ฌธ๊ฐ€, ์‚ฌ์ง„์ „๋ฌธ๊ฐ€, ์ผ๋ฐ˜์ธ์œผ๋กœ ๊ตฌ๋ถ„๋œ ์„ธ ์ง‘๋‹จ์˜ ์‚ฌ์šฉ์ž๋ฅผ ๋ชจ์ง‘ํ•˜์—ฌ ์‹คํ—˜์„ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์‚ฌ์šฉ์ž๋Š” ์ €๋งˆ๋‹ค ๋‹ค๋ฅธ ๋ฐฐ๊ฒฝ ์ง€์‹์„ ๋ฐ˜์˜ํ•ด ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ•ด์„ํ•˜๊ณ  ํ‰๊ฐ€ํ•˜๋Š” ๊ฒฝํ–ฅ์„ ๋ณด์˜€๋‹ค. ์‚ฌ์ง„์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์ด ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ๊ฐ€์žฅ ๋†’์€ ์ •๋„๋กœ ํ•ด์„ํ•˜์˜€์œผ๋ฉฐ ํ•ฉ๋ฆฌ์ ์ด๋ผ๊ณ  ์—ฌ๊ธด ๋ฐ˜๋ฉด, ์ธ๊ณต์ง€๋Šฅ/๊ธฐ๊ณ„ํ•™์Šต ์ „๋ฌธ๊ฐ€ ์ง‘๋‹จ์€ ๊ฐ€์žฅ ๋‚ฎ์€ ์ •๋„๋กœ ์•Œ๊ณ ๋ฆฌ์ฆ˜์„ ํ•ด์„ํ•˜๊ณ  ํ‰๊ฐ€ํ–ˆ๋‹ค. ์‚ฌ์šฉ์ž๋Š” ๋‹ค์–‘ํ•œ ์ „๋žต์„ ํ†ตํ•ด ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜์˜ ์›๋ฆฌ๋ฅผ ์ถ”๋ก ํ•˜๊ณ ์ž ํ•˜์˜€์œผ๋ฉฐ ์ด๋ฅผ ํ†ตํ•ด ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ์˜ ์ฐจ์ด๋ฅผ ์ขํ˜€๊ฐˆ ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ์‚ฌ์šฉ์ž๋Š” ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ์Œ๋ฐฉ ์†Œํ†ต์„ ํ†ตํ•ด ์˜๊ฒฌ์„ ๊ตํ™˜ํ•˜๊ณ ์ž ํ•˜๋Š” ๋‹ˆ์ฆˆ๋ฅผ ํ‘œ์ถœํ•˜์˜€๋‹ค. ์„ธ๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ ์‚ฌ์šฉ์ž๊ฐ€ ๊ณต๋™์˜ ๋ชฉํ‘œ๋ฅผ ๋‘๊ณ  ์ง€์†์ ์ธ ์ธํ„ฐ๋ž™์…˜์„ ์ด์–ด๊ฐ€๋Š” ๊ณผ์ •์— ๋Œ€ํ•œ ์ดํ•ด๋ฅผ ๋ชฉํ‘œ๋กœ ํ•˜์˜€๋‹ค. ์‚ฌ์šฉ์ž๊ฐ€ ์ผ๋ถ€ ๊ทธ๋ฆฐ ๋ฌผ์ฒด๋ฅผ ์™„์„ฑํ•˜๊ณ  ์Šค์ผ€์น˜์— ์ƒ‰์น ์„ ์ž๋™์œผ๋กœ ์™„์„ฑํ•ด์ฃผ๋Š” ์‹ ๊ฒฝ๋ง ๊ธฐ๋ฐ˜์˜ ์•Œ๊ณ ๋ฆฌ์ฆ˜ API๋ฅผ ์ด์šฉํ•˜์—ฌ DuetDraw๋ผ๋Š” ๋ฆฌ์„œ์น˜ ํ”„๋กœํ† ํƒ€์ž…์„ ์ œ์ž‘ํ•˜์˜€๊ณ , ์ •๋Ÿ‰ ๋ฐ ์ •์„ฑ์  ๋ฐฉ๋ฒ•์œผ๋กœ ์ด์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž ํ‰๊ฐ€๋ฅผ ์ง„ํ–‰ํ•˜์˜€๋‹ค. ์‚ฌ์šฉ์ž ํ‰๊ฐ€ ๊ฒฐ๊ณผ ์‚ฌ์šฉ์ž๋Š” ์ธ๊ณต์ง€๋Šฅ ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ์˜ ํ˜‘์—… ๊ณผ์ •์—์„œ ์ธ๊ณต์ง€๋Šฅ์œผ๋กœ๋ถ€ํ„ฐ ๋‹จ์ˆœํ•œ ํ”ผ๋“œ๋ฐฑ ๋ณด๋‹ค๋Š” ์ž์„ธํ•œ ์„ค๋ช…์„ ์ œ๊ณต๋ฐ›๊ธฐ๋ฅผ ์›ํ–ˆ์œผ๋ฉฐ, ์•Œ๊ณ ๋ฆฌ์ฆ˜๊ณผ์˜ ๊ด€๊ณ„์—์„œ ํ•ญ์ƒ ์ฃผ๋„์ ์ธ ์œ„์น˜์— ์žˆ๊ณ ์ž ํ•˜์˜€๋‹ค. ์ธ๊ณต์ง€๋Šฅ๊ณผ์˜ ์ธํ„ฐ๋ž™์…˜์€ ๊ณผ์—… ์ˆ˜ํ–‰์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž์˜ ์˜ˆ์ธก๊ฐ€๋Šฅ์„ฑ, ์ดํ•ด๋„, ํ†ต์ œ๋ ฅ์„ ๋‚ฎ์ถ”๋Š” ๊ฒฝํ•ญ์ด ์žˆ์—ˆ์ง€๋งŒ, ์‚ฌ์šฉ์ž์—๊ฒŒ ์ƒ๋Œ€์ ์œผ๋กœ ๋†’์€ ์‚ฌ์šฉ์„ฑ์„ ์ œ๊ณตํ•˜์˜€์„ ๋ฟ๋งŒ ์•„๋‹ˆ๋ผ ์‚ฌ์šฉ์ž๊ฐ€ ์ „๋ฐ˜์ ์œผ๋กœ ๋งŒ์กฑ์Šค๋Ÿฌ์šด ๊ฒฝํ—˜์„ ํ•  ์ˆ˜ ์žˆ๋„๋ก ํ•˜์˜€๋‹ค. ๋์œผ๋กœ, ๋„ค๋ฒˆ์งธ ์—ฐ๊ตฌ๋Š” ๋ณด๋‹ค ์‹ค์šฉ์ ์ธ ์–ดํ”Œ๋ฆฌ์ผ€์ด์…˜์„ ์ œ์ž‘ํ•˜์—ฌ ์ด์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž ์ธํ„ฐ๋ž™์…˜์„ ์ดํ•ดํ•˜๊ณ ์ž ํ•˜์˜€์œผ๋ฉฐ, ์ด์— ์ตœ๊ทผ ํฐ ๊ฐ๊ด‘์„ ๋ฐ›๊ณ  ์žˆ๋Š” ๋กœ๋ด‡์ €๋„๋ฆฌ์ฆ˜ ๊ธฐ์ˆ ์„ ๊ตฌํ˜„ํ•œ NewsRobot์„ ์ œ์ž‘ํ•˜์˜€๋‹ค. NewsRobot์€ 2018 ํ‰์ฐฝ๋™๊ณ„์˜ฌ๋ฆผํ”ฝ์˜ ์ฃผ์š” ๊ฒฝ๊ธฐ ๊ฒฐ๊ณผ๋ฅผ ์ž๋™์œผ๋กœ ์ˆ˜์ง‘ํ•˜๊ณ  ์š”์•ฝํ•˜๋ฉฐ, ๋‚ด์šฉ๊ณผ ํ˜•์‹์„ ๊ฐ๊ฐ ์ข…ํ•ฉ๋‰ด์Šค-์„ ํƒ๋‰ด์Šค, ํ…์ŠคํŠธ-์นด๋“œ-๋™์˜์ƒ์œผ๋กœ ๋‹ฌ๋ฆฌํ•˜์—ฌ ๋‰ด์Šค๋ฅผ ์ƒ์„ฑํ•œ๋‹ค. ์ •๋Ÿ‰ ๋ฐ ์ •์„ฑ์  ๋ฐฉ๋ฒ•์˜ ์‚ฌ์šฉ์ž ํ‰๊ฐ€ ๊ฒฐ๊ณผ, ์„ ํƒ๋‰ด์Šค๊ฐ€ ์ข…ํ•ฉ๋‰ด์Šค์— ๋น„ํ•ด ๋‚ฎ์€ ์‹ ๋ขฐ๋„๋ฅผ ๋ณด์˜€์Œ์—๋„ ๋ถˆ๊ตฌํ•˜๊ณ  ์„ ํƒ๋‰ด์Šค์— ๋Œ€ํ•œ ์‚ฌ์šฉ์ž์˜ ๋†’์€ ์„ ํ˜ธ๋„๋ฅผ ํ™•์ธํ•  ์ˆ˜ ์žˆ์—ˆ๋‹ค. ๋˜ํ•œ ๋ฉ€ํ‹ฐ๋ฏธ๋””์–ด ๋ชจ๋‹ฌ๋ฆฌํ‹ฐ๊ฐ€ ๋†’์•„์งˆ์ˆ˜๋ก ์‚ฌ์šฉ์ž์˜ ๋‰ด์Šค์— ๋Œ€ํ•œ ๋งŒ์กฑ๋„๊ฐ€ ๋†’์•„์ง€์ง€๋งŒ ์‚ฌ์šฉ์ž์˜ ๊ธฐ๋Œ€์ˆ˜์ค€์— ์–ด๊ธ‹๋‚œ ๊ฒฝ์šฐ ์˜คํžˆ๋ ค ๋‚ฎ์€ ํ‰๊ฐ€๋ฅผ ๋ฐ›๋Š” ๊ฒƒ์„ ํ™•์ธํ•˜์˜€๋‹ค. ์‚ฌ์šฉ์ž๋Š” ์•Œ๊ณ ๋ฆฌ์ฆ˜์ด ์ž๋™์œผ๋กœ ์ƒ์„ฑํ•œ ๋‰ด์Šค์— ๋Œ€ํ•ด ์ •ํ™•ํ•˜๊ณ  ๊ฐ๊ด€์ ์ด๋ผ๊ณ  ํ‰๊ฐ€ํ•˜์˜€์œผ๋ฉฐ, ๋น ๋ฅธ ๋‰ด์Šค ์ƒ์„ฑ ์†๋„์™€ ๋‹ค์–‘ํ•œ ์ •๋ณด ์‹œ๊ฐํ™” ์š”์†Œ์— ๋Œ€ํ•ด์„œ๋„ ๋งŒ์กฑ๊ฐ์„ ๋“œ๋Ÿฌ๋ƒˆ๋‹ค. ๋ณธ ์—ฐ๊ตฌ๋Š” ์ด ๋„ค ๊ฐ€์ง€ ์—ฐ๊ตฌ์˜ ๊ฒฐ๊ณผ๋“ค์„ ๋ฐ”ํƒ•์œผ๋กœ ์ธ๊ฐ„-์ธ๊ณต์ง€๋Šฅ ์ƒํ˜ธ์ž‘์šฉ์— ๋Œ€ํ•œ ๋‹ค์–‘ํ•œ ์‹œ์‚ฌ์ ๋“ค์„ ๋„์ถœํ•˜์˜€์œผ๋ฉฐ, ์ธ๊ณต์ง€๋Šฅ์„ ์ด์šฉํ•œ ์•Œ๊ณ ๋ฆฌ์ฆ˜ ๊ธฐ๋ฐ˜์˜ ์‹œ์Šคํ…œ์˜ ์‚ฌ์šฉ์ž ์ธํ„ฐํŽ˜์ด์Šค ๋””์ž์ธ์„ ์œ„ํ•œ ํ•จ์˜์ ๋“ค์„ ์ œ์•ˆํ•œ๋‹ค.The recent development of artificial intelligence (AI) algorithms is affecting our daily lives in numerous areas. Moreover, AI is expected to evolve rapidly, bringing tremendous economic value. However, compared to the attention these technological improvements receive, there is relatively little discussion on human factors and user experience related to AI algorithms. Thus, this thesis aims to better understand how users interact with AI algorithms. Specifically, this work examined algorithm-based humanโ€“AI interaction in four stages, through various modes of human-computer interaction: The first study investigated how people perceive algorithm-based systems using AI, finding that people tend to anthropomorphize as well as alienate them, which is distinct from their perceptions of computers. The second study investigated how people interpret and evaluate the output from AI algorithms through a prototype, AI Mirror, which assigned aesthetic scores to images based on a neural network algorithm. The results revealed that people interpret AI algorithms differently based on their backgrounds, and that they want to understand and communicate with AI systems. The third study investigated how people build a sequence of actions with AI algorithms through a mixed method study using a research prototype called DuetDraw, a drawing tool in which users and AI can draw pictures together. The results showed that people want to lead collaborations while hoping to get appropriate instructions from the AI algorithm. Lastly, a case study on a practical application of AI was conducted with a research prototype called NewsRobot, which automatically generated news articles with different content and styles. Findings showed that users prefer selective news and multimedia news that have more functionality and modality, but at the same time they do not want AI to boast about its ability. With these distinct but intertwined studies, this thesis argues the importance of understanding human factors in the user interfaces of AI-based systems and suggests design principles to this end.1 INTRODUCTION 1 1.1 Background 1 1.2 Research Goal 10 1.3 Research Questions 11 1.4 How People Perceive Algorithm-based Systems Using Artificial Intelligence 12 1.5 How People Interpret and Evaluate Algorithm-based Systems Using Artificial Intelligence 13 1.6 How People Build Sequential Actions with Algorithm-Based Systems Using Artificial Intelligence 15 1.7 How People Use a Practical Application of an Algorithm-based Systems Using Artificial Intelligence 17 1.8 Thesis Statement 18 1.9 Contributions 18 1.10 Thesis Overview 20 2 RELATED WORK 22 2.1 Human Perception of AI Algorithms 22 2.1.1 Technophobia 22 2.1.2 Anthropomorphism 23 2.2 Users Interpretation and Evaluation of AI Algorithms 24 2.2.1 Interpretability of Algorithms and Users Concerns 24 2.2.2 Sense-making and Gap between Users and AI algorithms 25 2.2.3 User Control in Intelligent Systems 26 2.3 How People Build Sequential Actions with AI Algorithms 26 2.3.1 AI, Deep Learning, and New UX in Creative Works 27 2.3.2 Communication and Leadership among Users and AI 28 2.4 Practical Design of Algorithm-based Systems Using AI 29 2.4.1 Automated Journalism 30 2.4.2 Personalization of News Content 31 2.4.3 Effect of Multimedia Modality on User Experience 32 3 HOW PEOPLE PERCEIVE ALGORITHM-BASED SYSTEMS USING ARTIFICIAL INTELLIGENCE 33 3.1 Motivation 34 3.2 Google DeepMind Challenge Match 36 3.3 Methodology 38 3.3.1 Participant Recruitment 38 3.3.2 Interview Process 39 3.3.3 Interview Analysis 40 3.4 Findings 41 3.4.1 Preconceptions about Artificial Intelligence 41 3.4.2 Confrontation: Us vs. Artificial Intelligence 43 3.4.3 Anthropomorphizing AlphaGo 47 3.4.4 Alienating AlphaGo 49 3.4.5 Concerns about the Future of AI 52 3.5 Limitations 55 3.6 Summary 56 4 HOW PEOPLE INTERPRET AND EVALUATE ALGORITHM-BASED SYSTEMS USING ARTIFICIAL INTELLIGENCE 57 4.1 Motivation 58 4.2 AI Mirror 60 4.2.1 Design Goal 60 4.2.2 Image Assessment Algorithm 61 4.2.3 Design of User Interface 61 4.3 Study Design 62 4.3.1 Participant Recruitment 63 4.3.2 Experimental Settings 64 4.3.3 Procedure 65 4.3.4 Analysis Methods 66 4.4 Result 1: Quantitative Analysis 67 4.4.1 Difference 68 4.4.2 Interpretability 69 4.4.3 Reasonability 70 4.5 Result 2: Qualitative Analysis 71 4.5.1 People Understand AI Based on What They Know 71 4.5.2 People Reduce Difference Using Various Strategies 73 4.5.3 People Want to Actively Communicate with AI 76 4.6 Limitations 78 4.7 Conclusion 78 5 HOW PEOPLE BUILD SEQUENTIAL ACTIONS WITH ALGORITHM-BASED SYSTEMS USING ARTIFICIAL INTELLIGENCE 80 5.1 Motivation 81 5.2 Duet Draw 84 5.2.1 Five AI Functions of DuetDraw 84 5.2.2 Initiative and Communication Styles of DuetDraw 85 5.3 Study Design 86 5.3.1 Participants 87 5.3.2 Tasks and Procedures 87 5.3.3 Drawing Scenarios 88 5.3.4 Survey 89 5.3.5 Think-aloud and Interview 89 5.3.6 Analysis Methods 90 5.4 Result 1: Quantitative Analysis 92 5.4.1 Detailed Instruction is Preferred over Basic Instruction 93 5.4.2 UX Could Be Worse with Lead-Basic than Assist-Detailed 94 5.4.3 AI is Fun, Useful, Effective, and Efficient 94 5.4.4 No-AI is more Predictable, Comprehensible, and Controllable 95 5.4.5 Even if Predictability is Low, Fun and Interest Can Increase 96 5.5 Result 2: Qualitative Analysis 96 5.5.1 Just Enough Instruction 97 5.5.2 Users Always Want to Lead 99 5.5.3 AI is Similar to Humans But Unpredictable 101 5.5.4 Co-Creation with AI 102 5.6 Limitations 105 5.7 Conclusion 105 6 HOW PEOPLE USE A PRACTICAL APPLICATION OF AN ALGORITHM-BASED SYSTEM USIGN ARTIFICIAL INTELLIGENCE 107 6.1 Motivation 108 6.2 News Robot 110 6.2.1 Selecting Main Event and Data Source 111 6.2.2 Designing News Article Structure 113 6.2.3 Content and Style 113 6.2.4 Generating News Articles 115 6.2.5 Designing NewsRobot User Interface 116 6.3 Study Design 117 6.3.1 Participants 117 6.3.2 Procedures 118 6.3.3 Analysis Methods 119 6.4 Results 1: Quantitative Analysis 120 6.4.1 Selective News Is Less Credible 120 6.4.2 Users Like Both Multimedia and Personalization 121 6.4.3 Quality of Video Is Not Rated Highest 122 6.4.4 NewsRobot Is Accurate but Not Sensational 123 6.5 Results 2: Qualitative Analysis 124 6.5.1 Users Evaluate NewsRobot Features Highly 124 6.5.2 NewsRobot Is Unbiased but Predictable 127 6.5.3 Benefits and Drawbacks of Using Multimedia 128 6.6 Limitations 130 6.7 Conclusion 130 7 DISCUSSION 131 7.1 Human Perception of AI Algorithms 131 7.1.1 Cognitive Dissonance 131 7.1.2 Beyond Technophobia 132 7.1.3 Toward a New Chapter in Human-Computer Interaction 134 7.1.4 Coping with the Potential Danger 135 7.2 Users Interpretation and Evaluation of AI Algorithms 135 7.2.1 Integrate Diverse Expertise and User Perspectives 136 7.2.2 Take Advantage of Peoples Curiosity about AI Principles 137 7.2.3 Provide AI and Users with Mutual Communication 138 7.3 How People Build Sequential Actions with AI Algorithms 139 7.3.1 Let the User Take the Initiative 140 7.3.2 Provide Just Enough Instruction 140 7.3.3 Embed Interesting Elements in the Interaction 141 7.3.4 Ensure Balance 142 7.4 Practical Design of Algorithm-based Systems Using AI 142 7.4.1 Provide Selective news with Adaptable Interface 142 7.4.2 Present Various Multimedia Elements but Not Too Many 144 7.4.3 Importance of Quality Data and Algorithm Refinement 145 7.5 Principles 146 8 CONCLUSION 148 8.1 Summary of Contributions 149 8.2 Future Directions 150 Bibliography 153 ๋…ผ๋ฌธ์ดˆ๋ก 173 ๊ฐ์‚ฌ์˜ ๊ธ€ 176Docto

    A collisionless singular cucker-smale model with decentralized formation control

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    We address the design of decentralized feedback control laws inducing consensus and prescribed spatial patterns over a singular interacting particle system of Cucker-Smale type. The control design consists of a feedback term regulating the distance between each agent and pre-assigned subset of neighbours. Such a design represents a multidimensional extension of existing control laws for 1d platoon formation control. For the proposed controller we study consensus emergence, collision-avoidance and formation control features in terms of energy estimates for the closed-loop system. Numerical experiments in 1, 2 and 3 dimensions assess the different features of the proposed design. 1. Introduction. Multi-agent systems (MAS) provide a versatile framework for modelling different challenges arising in Science and Engineering, such as collective animal and human behaviour [46, 47], dynamic networks [39], and autonomous vehicles [5], among many others. From a mathematical viewpoint, MAS are often modelled as large-scale dynamical systems where each agent is represented by a subset of states which are updated via "physical" interaction rules [27, 25] (attraction, repulsion, alignment, synchronization etc.), or by means of a control/game framework [34, 29]. In this work, we are concerned with the design of dynamic interactions and external control laws for nonlinear MAS representing the physical motion of a swarm of agents. Our mathematical modelling is inspired by animal collective dynamics, where large populations of birds and fish normally exhibit self-organization behaviour such as flocking, swarming, milling, and alignment. Other remarkable examples are linked to pedestrian behaviour and to platoons of unmanned aerial vehicles (UAVs). In particular, we are interested in prescribing nonlinear dynamics for the MAS leading to self-organized flocking and trajectories with collision-avoidance features, the latter being a fundamental aspect for a realistic model. The emergence of collision-less flocking behaviour, understood as a configuration in which agents travel with the same constant velocity, is already a complex dynamic equilibrium of interest on its own right. However, a flocking regime does not provide a complete account of the spatial configuration of the swarm, thus limiting its practical interest for applications, such as pedestrian modelling and UAV control. Hence, it is desirable to endow the MAS dynamics with additional forcing terms which can also induce the formation of a given spatial configuration. In this paper, we propose a dynamical MAS model including collisionless flocking, together with a control law inducing a given spatia

    The Sword, February 2018

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    Contents Front Matter Letter From the Editor News AI Writers and the Future of Journalism Faculty Spotlight: Dr. Michele Pickel - Stable-izing Literacy Skills with the Help of Horses Club Spotlight: Solus Christus Overcoming the Winter Blues The Effects of Allianz Field on St. Paul\u27s Midway Emotional Support Animals Fight for their Rights Minnesota: Sex Trafficking Hub Opinion American Bridges are Falling Down: Why Over 50,000 American Bridges are Falling Apart From the Classroom to the Grocery Store A Need for Required World Religions and Cultures Courses Mindfulness in the Workplace I\u27m This and You\u27re That Identity: Why You Should Be Proud of Yours and Respectful of Others\u27 The Anti of the Anti-Vaxx Movement Jeff Sessions and Living the Nixon-Era Relic: Revamping the War on Drugs Sports A Family Affair Men\u27s Basketball Team Shows Flashes at the End of the Season A Team Led by Faith Women\u27s Basketball Update CSP Track and Field: Broken Records and High Hopes Leading into Conference Championships Male Athlete of the Month: Bryndan Matthews CSP Takes on the Super Bowl Female Athlete of the Month: Kalle Burney 2018 Winter Olympics Preview Golden Bears Baseball to Start Season at U.S. Bank Stadium and Tucson Invite Media Row: The Sword Takes on the Super Bowl Arts and Variety Dance Spotlight: Jennifer Thao Food Review: Hai-Hai, A Tropical Vietnamese Food Getaway Mary Shelley\u27s Frankenstein: A 200th Anniversary Review Art in the Cities: From Frame to Film Music Review: Justin Timberlake\u27s Man of the Woods Movie Review: The Post The Subjectivity of Art as Exposed by the Work of John Martin Bell John Martin Bell\u27s Take on His Artwork and Creative Process 10th Annual Invitational Choral Concert Recap Top 3 Coffee Shops for Studying: Where Coffee and Studying Always Go Hand in Hand Artist Spotlight: Cornel Beard - On the Value of Collective Knowledge Writer Spotlight: Josiah Osiem
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