33 research outputs found

    챗봇이 μ‹ λ’° μœ„λ°˜μœΌλ‘œλΆ€ν„° νšŒλ³΅ν•˜λŠ” 데 사과와 곡감이 λ―ΈμΉ˜λŠ” 영ν–₯

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    ν•™μœ„λ…Όλ¬Έ(석사) -- μ„œμšΈλŒ€ν•™κ΅λŒ€ν•™μ› : μ‚¬νšŒκ³Όν•™λŒ€ν•™ 심리학과, 2022. 8. ν•œμ†Œμ›.In the present study, we investigated how chatbots can recover user trust after making errors. In two experiments, participants had a conversation with a chatbot about their daily lives and personal goals. After giving an inadequate response to the user’s negative sentiments, the chatbot apologized using internal or external error attribution and various levels of empathy. Study 1 showed that the type of apology did not affect users’ trust or the chatbot’s perceived competence, warmth, or discomfort. Study 2 showed that short apologies increased trust and perceived competence of the chatbot compared to long apologies. In addition, apologies with internal attribution increased the perceived competence of the chatbot. The perceived comfort of the chatbot increased when apologies with internal attribution were longer as well as when apologies with external attribution were shorter. However, in both Study 1 and Study 2, the apology conditions did not significantly increase users’ trust or positively affect their perception of the chatbot in comparison to the no-apology condition. Our research provides practical guidelines for designing error recovery strategies for chatbots. The findings demonstrate that Human-Robot Interaction may require an approach to trust recovery that differs from Human-Human Interaction.λ³Έ μ—°κ΅¬μ—μ„œλŠ” 챗봇이 λŒ€ν™” 쀑 였λ₯˜κ°€ μžˆμ—ˆμ„ λ•Œ μ‚¬μš©μžμ˜ μ‹ λ’°λ₯Ό νšŒλ³΅ν•  수 μžˆλŠ” 방법에 λŒ€ν•˜μ—¬ νƒμƒ‰ν•˜μ˜€λ‹€. 두 번의 μ‹€ν—˜μ—μ„œ μ°Έμ—¬μžλ“€μ€ μΌμƒμƒν™œκ³Ό μžμ‹ μ˜ λͺ©ν‘œμ— κ΄€ν•˜μ—¬ 챗봇과 λŒ€ν™”λ₯Ό λ‚˜λˆ„μ—ˆλ‹€. 챗봇은 μ°Έμ—¬μžμ˜ 뢀정적 감정에 λŒ€ν•΄ λΆ€μ μ ˆν•œ 응닡을 ν•œ ν›„, 곡감 μˆ˜μ€€μ„ λ‹¬λ¦¬ν•˜λ©° 내적 귀인 ν˜Ήμ€ 외적 귀인을 μ‚¬μš©ν•˜μ—¬ μ‚¬κ³Όν–ˆλ‹€. 연ꡬ 1에 λ”°λ₯΄λ©΄ μ‚¬κ³Όμ˜ μ’…λ₯˜λŠ” μ‚¬μš©μžμ˜ μ‹ λ’°λ‚˜ μ±—λ΄‡μ˜ μ§€κ°λœ 유λŠ₯함, λ”°λœ»ν•¨, λΆˆνŽΈκ°μ— μœ μ˜λ―Έν•œ 영ν–₯을 주지 μ•Šμ•˜λ‹€. 연ꡬ 2 κ²°κ³Ό 짧은 μ‚¬κ³ΌλŠ” κΈ΄ 사과보닀 챗봇에 λŒ€ν•œ μ‚¬μš©μžμ˜ 신뒰와 μ§€κ°λœ 유λŠ₯함을 더 크게 λ†’μ˜€λ‹€. λ˜ν•œ, 내적 귀인을 μ‚¬μš©ν•˜λŠ” 사과가 μ±—λ΄‡μ˜ μ§€κ°λœ 유λŠ₯함을 더 크게 ν–₯μƒμ‹œμΌ°λ‹€. 내적 귀인을 μ‚¬μš©ν•˜λŠ” μ‚¬κ³Όμ˜ 경우 길이가 κΈΈ λ•Œ, 외적 귀인을 μ‚¬μš©ν•˜λŠ” μ‚¬κ³Όμ˜ 경우 길이가 짧을 λ•Œ μ‚¬μš©μžλ“€μ—κ²Œ 더 νŽΈμ•ˆν•˜κ²Œ λŠκ»΄μ‘Œλ‹€. κ·ΈλŸ¬λ‚˜ 연ꡬ 1κ³Ό 연ꡬ 2 λͺ¨λ‘μ—μ„œ 사과 쑰건은 μ‚¬μš©μžμ˜ μ‹ λ’°λ₯Ό μœ μ˜λ―Έν•˜κ²Œ μ¦κ°€μ‹œν‚€κ±°λ‚˜ μ±—λ΄‡μ˜ 인식에 μœ μ˜λ―Έν•˜κ²Œ 긍정적인 영ν–₯을 λ―ΈμΉ˜μ§€ μ•Šμ•˜λ‹€. λ³Έ μ—°κ΅¬λŠ” 챗봇 였λ₯˜λ₯Ό ν•΄κ²°ν•˜κΈ° μœ„ν•œ μ‹ λ’° 회볡 μ „λž΅μ„ μˆ˜λ¦½ν•˜κΈ° μœ„ν•œ μ‹€μš©μ μΈ 지침을 μ œκ³΅ν•œλ‹€. λ˜ν•œ, λ³Έ 연ꡬ κ²°κ³ΌλŠ” 인간-λ‘œλ΄‡ μƒν˜Έμž‘μš©μ—μ„œ μš”κ΅¬λ˜λŠ” μ‹ λ’° 회볡 μ „λž΅μ€ 인간-인간 μƒν˜Έ μž‘μš©μ—μ„œ μ‚¬μš©λ˜λŠ” μ „λž΅κ³ΌλŠ” 상이할 수 μžˆμŒμ„ 보여쀀닀.Abstract i Table of Contents ii List of Tables iii List of Figures iii Chapter 1. Introduction 1 1. Motivation 1 2. Previous Research 2 3. Purpose of Study 11 Chapter 2. Study 1 12 1. Hypotheses 12 2. Methods 12 3. Results 18 4. Discussion 23 Chapter 3. Study 2 25 1. Hypotheses 25 2. Methods 26 3. Results 30 4. Discussion 38 Chapter 4. Conclusion 40 Chapter 5. General Discussion 42 References 46 Appendix 54 ꡭ문초둝 65석

    Bias due to Mismatch and its Sensitivity in Matched Field Processing

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    Matched field processing(MFP) is a parameter estimation technique for localizing the range, depth, and bearing of a point source from the signal field propagating in an acoustic waveguide. MFP involves the correlation of the actual acoustic pressure field measured at a receiver array with a predicted field based on a postulated source position and an assumed ocean model. A high degree of correlation between the measured field and the predicted field indicates a likely source location. Thus an increased complexity of the ocean's structure provides a greater variability of the acoustic fields, which aids the estimation procedure. When the environmental data are inaccurate or incomplete, a "mismatch" occurs between the measured data and the predicted pressure field, that causes a degradation in MFP correlation and an appreciable bias. In this thesis, I was concerned with quantitative evaluation of the effects of mismatches arising from inaccuracies in a number of important system and ocean environmental parameters in a shallow water. The motivation for this study is to examine the biases in the source localization and the sensitivities of the matching results from various mismatches. Using a conventional estimator, I have investigated the bias of range and depth estimates caused by perturbations in array position, as well as ocean environmental parameters through the simulation. Replica fields are calculated using the normal mode methods with the exception of bathymetry case. Also this study examined the sensitivity of MFP to geometric, geoacoustic, and ocean sound speed parameters using the genetic algorithm. And this method is applied to measured data to overcome mismatch and accurately estimate source location with limited a priori environmental information by expanding the parameter search space of MFP to include environmental parameters. As a result, significant biases can be introduced into the depth and range localization predictions of a MFP through erroneous estimates of environmental parameters. It can also be concluded that the impact of mismatch, both summer sound speed and sensor position in water layer, is more serious than the geoacoustic parameters. This implies that simulations of mismatch which consider only a few errors will provide very misleading results on source position. Water depth and bottom bathymetry errors can be offset significantlyit shifted progressively farther away and deeper from the actual source location as the true water depth became shallower. Errors in estimates of the sediment attenuation and density, and basement parameters appear to be of relatively minor importance. From an experimental implementation viewpoint, these result should enable resources to be concentrated on obtaining reliable values for those parameters which are important to know accurately, avoiding unnecessary effort to overdetermine relatively unimportant ones. It is also necessary to understand the types of mismatches in MFP that may be introduced by inaccuracies in the various forward modeling parameters, so that specific types of information deficiencies may be identified and attempts can be made to compensate for them.λͺ©μ°¨ Abstract = i λͺ©μ°¨ = iii List of Figures = vi List of Tables = viii List of Symbols = ix I. μ„œλ‘  = 1 1.1 연ꡬ λ°°κ²½ = 1 1.2 연ꡬ λͺ©μ  = 2 1.3 연ꡬ λ‚΄μš© 및 ꡬ성 = 4 II. μ •ν•©μž₯처리 μ•Œκ³ λ¦¬μ¦˜ = 6 2.1 ν•΄μ–‘μ—μ„œ 음파 전달과 λͺ¨λΈλ§ = 6 2.2 μ •ν•©μž₯처리의 ꡬ성 μš”μ†Œ = 8 2.3 μ •ν•©μž₯ ν”„λ‘œμ„Έμ„œ = 10 2.3.1 ν˜‘λŒ€μ—­ ν”„λ‘œμ„Έμ„œ = 10 2.3.2 κ΄‘λŒ€μ—­ ν”„λ‘œμ„Έμ„œ = 17 2.4 μœ μ „μž μ•Œκ³ λ¦¬μ¦˜μ„ μ΄μš©ν•œ λ§€κ°œλ³€μˆ˜ μ—­μ‚° = 24 2.4.1 λͺ©μ ν•¨μˆ˜ = 26 2.4.2 λ§€κ°œλ³€μˆ˜ μ΄ˆκΈ°ν™” = 27 2.4.3 μœ μ „ μ—°μ‚°μž = 28 2.4.4 사후 톡계 = 29 III. λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•©μ— λŒ€ν•œ μˆ˜μΉ˜μ‹€ν—˜ 및 뢄석 = 32 3.1 μ˜€μ •ν•© 연ꡬ 동ν–₯ = 32 3.2 μˆ˜μΉ˜μ‹€ν—˜ ν™˜κ²½ = 34 3.3 κ°œλ³„ λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•© = 36 3.3.1 μ‹œμŠ€ν…œ λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•© = 36 3.3.1.1 주파수 μ˜€μ •ν•© = 36 3.3.1.2 λ°°μ—΄ μˆ˜μ‹¬ μ˜€μ •ν•© = 38 3.3.1.3 λ°°μ—΄ 경사 μ˜€μ •ν•© = 40 3.3.2 수측 λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•© = 43 3.3.2.1 μŒμ†λΆ„ν¬ μ˜€μ •ν•© = 43 3.3.2.2 μˆ˜μ‹¬ μ˜€μ •ν•© = 50 3.3.2.3 ν•΄μ €λ©΄ 경사 μ˜€μ •ν•© = 53 3.3.3 해저퇴적측 λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•© = 58 3.3.3.1 해저퇴적측 λ‘κ»˜ μ˜€μ •ν•© = 58 3.3.3.2 해저퇴적측 μƒλΆ€μŒμ† μ˜€μ •ν•© = 61 3.3.3.3 해저퇴적측 ν•˜λΆ€μŒμ† μ˜€μ •ν•© = 61 3.3.3.4 해저퇴적측 밀도 μ˜€μ •ν•© = 63 3.3.3.5 해저퇴적측 κ°μ‡ κ³„μˆ˜ μ˜€μ •ν•© = 63 3.3.4 μ €μΈ΅ λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•© = 66 3.3.4.1 μ €μΈ΅ μŒμ† μ˜€μ •ν•© = 66 3.3.4.2 μ €μΈ΅ 밀도 μ˜€μ •ν•© = 67 3.3.4.3 μ €μΈ΅ κ°μ‡ κ³„μˆ˜ μ˜€μ •ν•© = 68 3.4 κ²°ν•©λœ λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•© = 69 3.4.1 수측 μˆ˜μ‹¬κ³Ό λ°°μ—΄ μˆ˜μ‹¬κ³Όμ˜ μ˜€μ •ν•© = 70 3.4.2 수측 μˆ˜μ‹¬κ³Ό λ°°μ—΄ κ²½μ‚¬μ™€μ˜ μ˜€μ •ν•© = 70 3.4.3 수측 μˆ˜μ‹¬κ³Ό ν•΄μ €μΈ΅ μŒμ†κ³Όμ˜ μ˜€μ •ν•© = 73 3.4.4 수측 μˆ˜μ‹¬κ³Ό ν•΄μ €μΈ΅ λ°€λ„μ™€μ˜ μ˜€μ •ν•© = 73 3.5 μ’…ν•©λœ λ§€κ°œλ³€μˆ˜ μ˜€μ •ν•© = 76 IV. μ˜€μ •ν•©μ— λŒ€ν•œ λ§€κ°œλ³€μˆ˜μ˜ 민감도 뢄석 = 81 4.1 연ꡬ동ν–₯ = 81 4.2 λ§€κ°œλ³€μˆ˜μ˜ 민감도 뢄석 κ²°κ³Ό = 82 V. μ‹€μΈ‘μžλ£Œμ˜ λ§€κ°œλ³€μˆ˜ μ΅œμ ν™” 및 μ˜€μ •ν•© 영ν–₯ = 90 5.1 μ‹€ν—˜ ν•΄μ—­μ˜ ν™˜κ²½ 및 μ‹ ν˜Έ 뢄석 = 90 5.1.1 μ‹€ν—˜ ν•΄μ—­κ³Ό μŒμ›μ˜ 경둜 = 90 5.1.2 수직 μ„ λ°°μ—΄κ³Ό 예인 μŒμ› = 91 5.1.3 μ‹€ν—˜ ν™˜κ²½ = 92 5.1.4 μ‹ ν˜Έμ˜ μŠ€νŽ™νŠΈλ‘œκ·Έλž¨ 뢄석 = 94 5.2 λ§€κ°œλ³€μˆ˜ μ—­μ‚°κ³Ό μŒμ› μœ„μΉ˜ 좔적 = 95 5.3 μ—­μ‚°λœ μ‹€ν—˜ 자료의 μ˜€μ •ν•© 영ν–₯ 뢄석 = 101 VI. κ²°λ‘  = 106 μ°Έκ³  λ¬Έν—Œ = 10

    Incidental Diagnosis of Pediatric Arytenoid Cartilage Dislocation During Videofluoroscopic Swallowing Study: A Case Report

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    Arytenoid cartilage dislocation is one of the most common mechanical causes of vocal fold immobility. The most common etiologies are intubation and external trauma, but its incidence is lower than 0.1%. Its symptoms include dysphonia, vocal fatigue, loss of vocal control, breathiness, odynophagia, dysphagia, dyspnea, and cough. Although there are some reports of arytenoid cartilage dislocation in adults, there are only few reports on its occurrence in children. It is particularly difficult to detect the symptoms of arytenoid cartilage dislocation in uncooperative pediatric patients with brain lesions without verbal output or voluntary expression. We report a case of arytenoid cartilage dislocation with incidental findings in a videofluoroscopic swallowing study performed to evaluate the swallowing function.ope

    Determinants of Hip and Femoral Deformities in Children With Spastic Cerebral Palsy

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    Objective: To find factors affecting hip and femoral deformities in children with spastic cerebral palsy (CP) by comparing various clinical findings with imaging studies including plain radiography and computed tomography (CT) imaging. Methods: Medical records of 709 children with spastic CP who underwent thorough baseline physical examination and functional assessment between 2 to 6 years old were retrospectively reviewed. Fifty-seven children (31 boys and 26 girls) who had both plain radiography of the hip and three-dimensional CT of the lower extremities at least 5 years after baseline examination were included in this study. Results: The mean age at physical examination was 3.6 years (SD=1.6; range, 2-5.2 years) and the duration of follow-up imaging after baseline examination was 68.4 months (SD=22.0; range, 60-124 months). The migration percentage correlated with motor impairment and the severity of hip adductor spasticity (R1 angle of hip abduction with knee flexion). The femoral neck and shaft angle correlated with the ambulation ability and severity of hip adductor spasticity (R1 and R2 angles of hip abduction with both knee flexion and extension). Conclusion: Hip subluxation and coxa valga deformity correlated with both dynamic spasticity and shortening of hip adductor muscles. However, we found no correlation between femoral deformities such as femoral anteversion, coxa valga, and hip subluxation.ope

    Mozart Piano Concerto 1μ•…μž₯의 Oiginal Cadenza에 κ΄€ν•œ 연ꡬ

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    ν•™μœ„λ…Όλ¬Έ(석사)--μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› :μŒμ•…ν•™κ³Ό 피아노전곡,1999.Maste

    λ°”μ‹€λŸ¬μŠ€ μ„Έλ ˆμš°μŠ€ λ°•ν…Œλ¦¬μ˜€νŒŒμ§€ BPS13μ—μ„œ λΆ„λ¦¬ν•œ μ—”λŒλΌμ΄μ‹ , LysBPS13의 νŠΉμ„± 규λͺ…

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    ν•™μœ„λ…Όλ¬Έ (석사)-- μ„œμšΈλŒ€ν•™κ΅ λŒ€ν•™μ› : 농생λͺ…곡학뢀, 2012. 2. μœ μƒλ ¬.Use of bacteriophages as biocontrol agents is promising tool to control pathogenic bacteria including antibiotics-resistant bacteria. Not only bacteriophages but also endolysins, which are the peptidoglycan hydrolyzing enzymes encoded by bacteriophages, have high potential for applications as biocontrol agents for foodborne pathogens. In this study, a putative endolysin gene was identified from the genome of the bacteriophage BPS13, which infects Bacillus cereus. In silico analysis of this endolysin, designated LysBPS13 showed that LysBPS13 consists with N-terminal catalytic domain (PRGP domain) and C-terminal cell wall binding domain (SH3_5 domain). Further characterization with the purified LysBPS13 revealed that this endolysin is an N-acetylmuramyl-L-alanine amidase, whose activity was not dependent on metal ions. Especially LysBPS13 has remarkable thermostability in the presence of glycerol as LysBPS13 showed lytic activity even after boiling for 30 min. Taken together, LysBPS13 can be considered as a favorable candidate as a new antimicrobial agent to control B. cereus in food products.졜근 ν•­μƒμ œ λ‚΄μ„± 균주의 μΆœν˜„λΉˆλ„κ°€ 높아지고 병원균을 μ œμ–΄ν•˜κΈ° μœ„ν•œ μΉœν™˜κ²½ μ†Œμž¬μ— λŒ€ν•œ 관심이 급증함에 따라 이에 λŒ€ν•œ 연ꡬ가 μ€‘μš”μ‹œ 되고 μžˆλ‹€. λ°•ν…Œλ¦¬μ˜€νŒŒμ§€λŠ” 높은 νŠΉμ΄μ„±μ„ 가지고 νŠΉμ • λ―Έμƒλ¬Όμ—λ§Œ μž‘μš©ν•˜μ—¬ μš©κ· μž‘μš©μ„ μΌμœΌν‚€λŠ” λ°”μ΄λŸ¬μŠ€λ‘œ, λ°•ν…Œλ¦¬μ˜€νŒŒμ§€μ™€ νŒŒμ§€μ— μ˜ν•΄ λ°œν˜„λ˜λŠ” νŽ©ν‹°λ„κΈ€λ¦¬μΉΈ κ°€μˆ˜λΆ„ν•΄νš¨μ†ŒμΈ μ—”λŒλΌμ΄μ‹ μ΄ 식쀑독균을 μ œμ–΄ν•˜κΈ° μœ„ν•œ λ°”μ΄μ˜€μ»¨νŠΈλ‘€ 제재둜 각광 λ°›κ³  μžˆλ‹€. λ³Έ μ—°κ΅¬μ—μ„œλŠ” λ°”μ‹€λŸ¬μŠ€ μ„Έλ ˆμš°μŠ€μ„ 특이적으둜 μ €ν•΄ν•˜λŠ” λ°•ν…Œλ¦¬μ˜€νŒŒμ§€ BPS13을 뢄리, BPS13 유래 μ—”λŒλΌμ΄μ‹ , LysBPS13의 νŠΉμ„±μ„ 규λͺ…ν•˜μ˜€λ‹€. λ°”μ΄μ˜€μΈν¬λ©”ν‹±μŠ€ ν”„λ‘œκ·Έλž¨μ„ ν†΅ν•œ 뢄석 κ²°κ³Ό, 834 μ—ΌκΈ°μŒμ˜ LysBPS13은 N-acetylmuramyl-L-alanine amidaseκ³Ό 높은 상동성을 λ³΄μ˜€μœΌλ©°, 각각 N말단과 C말단 뢀뢄에 νš¨μ†Œ ν™œμ„± 도메인과 세포벽 κ²°ν•© 도메인을 κ°–κ³  μžˆμ—ˆλ‹€. κ·Έ μˆ™μ£Ό λ²”μœ„λŠ” λ…μ†Œλ₯Ό μƒμ„±ν•˜λŠ” λ°”μ‹€λŸ¬μŠ€ μ„Έλ ˆμš°μŠ€μ™€ μ¨λ¦°μ§€μ–Έμ‹œμŠ€μ— κ΅­ν•œλ˜μ—ˆμœΌλ©° νš¨μ†Œ ν™œμ„± λ‚˜νƒ€λ‚Ό λ•Œ μ‘°νš¨μ†Œλ₯Ό ν•„μš”λ‘œ ν•˜μ§€ μ•Šμ•˜λ‹€. 특히 LysBPS13은 글리세둀과 ν•¨κ»˜ μžˆμ„ λ•Œ 30λΆ„ λ™μ•ˆ 열을 κ°€ν•˜κ³  λ‚œ 후에도 μ•ˆμ •λœ ν•­κ· ν™œμ„±μ„ λ³΄μž„μ„ 확인할 수 μžˆμ—ˆλ‹€. μ΄λŸ¬ν•œ LysBPS13의 νŠΉμ„±μ„ 톡해 μƒˆλ‘œμš΄ ν•­κ· λ¬Όμ§ˆλ‘œμ„œμ˜ κ°€λŠ₯성을 μ œμ‹œ ν•  수 μžˆλ‹€.Maste

    Underwater Moving Source Tracking Using a Coherent Broad-band Matched Field Processing Technology

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    Effect of Bias for Snapshots Using Minimum Variance Processor in MFP

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