1 |
K. O. Kim. (2020). Analysis of Research Trends in Consumer Science through Text Mining. Journal of Consumer Studies, 31(5), 19-47. DOI : 10.35736/JCS.31.5.2
DOI
|
2 |
A. Tapus., C. Tapus & M. J. Mataric. (2009). The use of socially assistive robots in the design of intelligent cognitive therapies for people with dementia. 2009 IEEE International Conference on Rehabilitation Robotics, 2009, pp. 924-929. DOI : 10.1109/ICORR.2009.5209501
DOI
|
3 |
T. Shibata & J. F. Coughlin. (2014). Trends of Robot Therapy with Neurological Therapeutic Seal Robot, PARO. The American Journal of Robotics and Mechatronics, 26(4), 418-425. DOI : 10.20965/jrm.2014.p0418
DOI
|
4 |
T. Tamura et al. (2004). Is an Entertainment Robot Useful in the Care of Elderly People With Severe Dementia?. The Journals of Gerontology: Series A, 59(1), M83-M85. DOI : 10.1093/gerona/59.1.m83
DOI
|
5 |
T. Shibata & K. Wada. (2011). Robot Therapy: A New Approach for Mental Healthcare of the Elderly - A Mini-Review. Gerontology, 57(4), 378-386 DOI : 10.1159/000319015
DOI
|
6 |
T. Shibata, K. Wada, T. Saito & K. Tanie. (2004). Robotic therapy at an elderly institution using a therapeutic robot. Annual Review of CyberTherapy and Telemedicine, 2, 125-135.
|
7 |
P. A. Hancock, D. R. Billings., K. E. Schaefer., J. Y. C. Chen., E. J. De Visser & R. Parasuraman. (2011). A Meta-Analysis of Factors Affecting Trust in Human-Robot Interaction. Human Factors: The Journal of the Human Factors and Ergonomics Society, 53(5), 517-527. DOI : 10.1177/0018720811417254
DOI
|
8 |
E. J. Lee & Y. J. Sung. (2020). "Hey Kakao!": A Qualitative study on the Interaction between AI devices and its Consumer. THE KOREAN JOURNAL OF CONSUMER AND ADVERTISING PSYCHOLOGY, 21(1), 21-53. DOI : 10.21074/KJLCAP.2020.21.1.21
DOI
|
9 |
I. H. Stanley, Y. Conwell, C. Bowen & K. A. Van Orden. (2014). Pet ownership may attenuate loneliness among older adult pri-mary care patients who live alone. Aging & Mental Health, 18(3), 394-399. DOI : 10.1080/13607863.2013.837147
DOI
|
10 |
Hudson, J., Ungar, R., Albright, L., Tkatch, R., Schaeffer, J., & Wicker, E. R.. (2020). Robotic Pet Use Among Community-Dwelling Older Adults. The Journals of Gerontology: Series B, 75(9), 2018-2028. DOI : 10.1093/geronb/gbaa119
DOI
|
11 |
N. Geva., F. Uzefovsky & S. Levy-Tzedek. (2020). Touching the social robot PARO reduces pain perception and salivary oxytocin levels. Scientific Reports, 10(1). DOI : 10.1038/s41598-020-66982-y
DOI
|
12 |
Y. U. Park & K. Y. Chung. (2021). A study on the analysis of customer's sentiment using DMR(Dirichlet Multinomial Regression) topic modeling based on online review big data: Focusing on the foreign customer's reviews of domestic 5 star deluxe hotels. Korean Journal of Hospitality & Tourism, 30(2), 1-20. DOI : 10.24992/KJHT.2021.2.30.02.1
DOI
|
13 |
B. de Ruyter., P. Saini., P. Markopoulos & A. van Breemen. (2005). Assessing the effects of building social intelligence in a robotic interface for the home. Interacting with Computers, 17(5), September 2005, 522-541. DOI : 10.1016/j.intcom.2005.03.003
DOI
|
14 |
M. Heerink., B. Krose., V. Evers & B. Wielinga. (2008). The influence of social presence on acceptance of a companion robot by older people. Journal of Physical Agents (joPha), 2(2), 33-40. DOI : 10.14198/jopha.2008.2.2.05
DOI
|
15 |
Y. Jin & O. Kwon. (2019). An Empirical Study on the Effects of Category and Role of Robot and Human Factors on the Shape of Uncanny Valley. The Journal of Korean Institute of Communications and Information Sciences, 44(3), 540-553.
DOI
|
16 |
H-C Hwang & S-H Song. (2019). A Study on the Factors Affecting the Acceptance of Logistics Robot in the Fulfillment Center Using the Technology Acceptance Model. Journal of the Korea Academia-Industrial cooperation Society, 20(12), 287-297.
DOI
|
17 |
C. D. Kidd., W. Taggart & S. Turkle. (2006). A sociable robot to encourage social interaction among the elderly. In Proceedings 2006 IEEE International Conference on Robotics and Automation, 2006. ICRA 2006. IEEE. 3972-3976. DOI : 10.1109/robot.2006.1642311
DOI
|
18 |
D. I. Yeon, G. Y. Park & H. W. Kim. (2020). User Experience Analysis and Management Based on Text Mining : A Smart Speaker Case. Information Systems Review, 22(2), 77-99.
DOI
|
19 |
S. Bedaf, G. J. Gelderblom & L. De Witte. (2015). Overview and Categorization of Robots Supporting Independent Living of Elderly People: What Activities Do They Support and How Far Have They Developed. Assistive technology: the official journal of RESNA, 27(2), 88-100. DOI : 10.1080/10400435.2014.978916
DOI
|
20 |
S. Coghlan, J. Waycott, B. B. Neves & F. Vetere. (2018). Using robot pets instead of companion animals for older people. In Proceedings of the 30th Australian Conference on Computer-Human Interaction. ACM. DOI : 10.1145/3292147.3292176
DOI
|
21 |
P. Eachus. (2014). Pets, people and robots: The role of companion animals and robopets in the promotion of health and wellbeing. International Journal of Health Promotion and Education, 39(1), 7-13. DOI : 10.1080/14635240.2001.10806140
DOI
|
22 |
Abbott et al. (2019). How do "robopets" impact the health and well-being of residents in care homes? A systematic review of qualitative and quantitative evidence. International Journal of Older People Nursing, 14(3), e12239. DOI : 10.1111/opn.12239
DOI
|
23 |
H. L. Bradwell, R. Winnington, S. Thill & R. B. Jones. (2020). Longitudinal Diary Data. In Companion of the 2020 ACM/IEEE International Conference on Human-Robot Interaction. ACM. DOI : 10.1145/3371382.3378256
DOI
|
24 |
N. Epley, A. Waytz, S. Akalis & J. T. Cacioppo. (2008). When We Need A Human: Motivational Determinants of Anthropomorphism. Social Cognition, 26(2), 143-155. DOI : 10.1521/soco.2008.26.2.143
DOI
|
25 |
D. B. Brecher. (2019). Use of a Robotic Cat to Treat Terminal Restlessness: A Case Study. Journal of Palliative Medicine, 23(3), 432-434.
DOI
|
26 |
H. K. Sung. (2016. 01. 27). "Silbo", elderly-care & "Mero", guidance robots are on sale, 30million won for each, but sales are slow due to high prices. Seoul Economy Daily. https://www.sedaily.com/NewsVIew/1KRDFTQCF6
|
27 |
T. L. Griffiths & M. Steyvers. (2004). Finding scientific topics. Proceedings of the National Academy of Sciences, 101(Supplement 1), 5228-5235. DOI : 10.1073/pnas.0307752101s
DOI
|
28 |
R. Bemelmans., G. J. Gelderblom., P. Jonker & L. de Witte. (2012). Socially Assistive Robots in Elderly Care: A Systematic Review into Effects and Effectiveness. Journal of the American Medical Directors Association, 13(2), 114-120.e1. DOI : 10.1016/j.jamda.2010.10.002
DOI
|
29 |
C. Breazeal. (2003). Emotion and sociable humanoid robots. International Journal of Human-Computer Studies, 59(1-2), 119-155. DOI : 10.1016/s1071-5819(03)00018-1
DOI
|
30 |
H. S. Shin & C. H. Jeon. (2018). When Robots Meet the Elderly: The Contexts of Interaction and the Role of Mediators. Korean Association of Science and Technology Studies, 18(2), 135-179.
|
31 |
J. H. Park & M. Song. (2013). A study on the Research Trends in Library & Information Science in Korea using Topic Modeling. Journal of the Korean Society for information Management, 30(1), 7-32. DOI : 10.3743/KOSIM.2013.30.1.007
DOI
|
32 |
J. Goetz., S. Kiesler & A. Powers. (2003). Matching robot appearance and behavior to tasks to improve human-robot cooperation. The 12th IEEE International Workshop on Robot and Human Interactive Communication, 2003. Proceedings. ROMAN 2003., 2003, pp. 55-60. DOI : 10.1109/ROMAN.2003.1251796
DOI
|
33 |
H. S. Jo, J. H. Kim & S. Kim. (2019). Factors related to the effectiveness in the use of an ICT-based toy robot for the in-home care of community dwelling elderly. Korean Journal of Health Education and Promotion, 36(5), 43-51. DOI : 10.14367/kjhep.2019.36.5.43
DOI
|
34 |
J. H. Kim, B. S. Seo, J. J. Cho & J. D. Choi. (2021). Life Companion Robots. Electronics and Telecommunications Trends, 36(1), 12-21. DOI : 10.22648/ETRI.2021J.360102
DOI
|
35 |
M. Heerink. (2011). Exploring the influence of age, gender, education and computer experience on robot acceptance by older adults. 2011 6th ACM/IEEE International Conference on Human-Robot Interaction (HRI). 147-148. DOI : 10.1145/1957656.1957704
DOI
|
36 |
S. Thunberg., L. Ronnqvist & T. Ziemke. (2020). Do Robot Pets Decrease Agitation in Dementia Patients? In Social Robotics, 616-627. Springer International Publishing. DOI : 10.1007/978-3-030-62056-1_51
|
37 |
H. L. Bradwell., K. J. Edwards., R. Winnington., S. Thill & R. B. Jones. (2019). Companion robots for older people: importance of user-centred design demonstrated through observations and focus groups comparing preferences of older people and roboticists in South West England. BMJ open, 9(9), e032468. DOI : 10.1136/bmjopen-2019-032468
DOI
|
38 |
R. Kachouie, S. Sedighadeli, R. Khosla & M.-T. Chu. (2014). Socially Assistive Robots in Elderly Care: A Mixed-Method Systematic Literature Review. International Journal of Human-Computer Interaction, 30(5), 369-393. DOI : 10.1080/10447318.2013.873278
DOI
|
39 |
K. Wada, T. Shibata, T. Musha & S. Kimura. (2005). Effects of robot therapy for demented patients evaluated by EEG. In 2005 IEEE/RSJ International Conference on Intelligent Robots and Systems. IEEE. 1552-1557. DOI : 10.1109/iros.2005.1545304
DOI
|
40 |
K. Wada., T. Shibata., T. Musha & S. Kimura. (2008). Robot therapy for elders affected by dementia. IEEE Engineering in Medicine and Biology Magazine, 27(4), 53-60. DOI : 10.1109/memb.2008.919496
DOI
|
41 |
Vahia et al. (2020). COVID-19, Mental Health and Aging: A Need for New Knowledge to Bridge Science and Service. The American Journal of Geriatric Psychiatry, 28(7), 695-697. DOI : 10.1016/j.jagp.2020.03.007
DOI
|
42 |
K. Wada & T. Shibata. (2007). Living With Seal Robots-Its Sociopsychological and Physiological Influences on the Elderly at a Care Hose. in IEEE Transactions on Robotics, vol. 23, no. 5, pp. 972-980, Oct. 2007. DOI : 10.1109/TRO.2007.906261
DOI
|
43 |
R. Sparrow. (2002). The march of the robot dogs. Ethics and Information Technology, 4, 305-318. DOI : 10.1023/A:1021386708994
DOI
|
44 |
Y. H. Wu., V. Cristancho-Lacroix., C. Fassert, V. Faucounau., J. de Rotrou & A. S. Rigaud. (2016). The Attitudes and Perceptions of Older Adults With Mild Cognitive Impaired Toward an Assitive Robot. Journal of Applied Gerontology, 35(1), 3-17. DOI : 10.1177/0733464813515092
DOI
|
45 |
N. Murzintcev. (2016). ldatuning, R package. https://cran.r-project.org/web/packages/ldatuning/ldatun ing.pdf
|
46 |
National Institute of Advanced Industrial Science and Technology(NIAIST). (2006, February 13). Paro found to improve brain func-tion in patients with cognition disorders. Retrieved June 1, 2007, from http://www.aist.go.jp/aist_e/latest_research/2006/20060213/20060213.html# National
|
47 |
T. H. Hong, H. Niu, G. Ren & J.-Y. Park. (2018). Multi-Topic Sentiment Analysis using LDA for Online Review. Korea Intelligent Information Systems Society: The Journal of Information Systems, 27(1), 89-110. DOI : 10.5859/KAIS.2018.27.1.89
DOI
|
48 |
O. J. Kim. Managing risk factors for the Animal-Assisted Therapy. Journal of Korean Veterinary Medical Association, 48(10), 631-635.
|
49 |
T. Shibata., K. Wada & K. Tanie. (2003). Subjective evaluation of a seal robot at the National Museum of Science and Technology in Stockholm. The 12th IEEE International Workshop on Robot and Human Interactive Communication, 2003. Proceedings. ROMAN 2003., 397-402. DOI : 10.1109/roman.2003.1251878
DOI
|
50 |
T. Klamer., S. Ben Allouch & D. Heylen. (2011). "Adventures of Harvey" - Use, Acceptance of and Relationship Building with a Social Robot in a Domestic Environment. In Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering (pp. 74-82). Springer Berlin Heidelberg. DOI : 10.1007/978-3-642-19385-9_10
DOI
|
51 |
C. Sievert & K. E. Shirley. (2014). LDAvis: A Method for Visualizing and Interpreting Topics. In Proceedings of the Workshop on Interactive Language Learning, Visualization, and Interfaces, pp. 63-70.
|
52 |
D. M. Blei., A. Y. Ng & M. I. Jordan. (2003). Latent dirichlet allocation. Journal of machine learning research, 3(Jan), 993-1022.
|
53 |
E. J. Lee, Y. J. Sung & J. M. Lee. (2019). Effects of User's Characteristics and Perceived Value on VPA Satisfaction. The Korean Journal of Consumer and Advertising Psychology, 20(1), 31-54. DOI : 10.21074/kjlcap.2019.20.1.31
DOI
|
54 |
J. Cao., T. Xia., J. Li., Y. Zhang & S. Tang. (2009). A density-based method for adaptive LDA model selection. Neurocomputing, 72(7-9), 1775-1781. DOI : 10.1016/j.neucom.2008.06.011
DOI
|
55 |
S. J. Park., Y. K. Suh., J. S. Kim & J. W. Kwon. (2020). Analysis for internet health counseling about precious puberty using text mining and topic modeling. Journal Of Korean Society For Health Education And Promotion, 37(3), 711-84. DOI : 10.14367/kjhep.2020.37.3.71
DOI
|
56 |
Y. H. Hong. (2019). Issue analysis of the admission officer system using topic analysis. The Korean Statistical Society, 32(3), 423-434. DOI : 10.5351/KJAS.2019.32.3.423
DOI
|
57 |
K. Kaushik., R. Mishra., N. P. Rana & Y. K. Dwivedi. (2018). Exploring reviews and review sequences on e-commerce platform: A study of helpful reviews on Amazon.in. Journal of Retailing and Consumer Services, 45, 21-32. DOI : 10.1016/j.jretconser.2018.08.02
DOI
|
58 |
T. W. Lee. (2020). A Study on Analysis of Topic Modeling using Customer Reviews based on Sharing Economy: Focusing on Sharing Parking. Journal of the Korea Industrial Information Systems Research, 25(3), 39-51. DOI : 10.9723/jksiis.2020.25.3.039
DOI
|
59 |
J. H. Lee & H. K. Lee. (2015). A study on unstructured text mining algorithm through R programming based on data dictionary. Journal of the Korea Industrial Information Systems Research, 20(2), 113-124. DOI : 10.9723/JKSIIS.2015.20.2.113
DOI
|
60 |
P. L. Chung, H. C. Ahn & K. Y. Kwahk. (2019). Identification of Core Features and Values of Smartphone Design using Text Mining and Social Network Analysis. The Korean Academic Association of Business Administration, 32(1), 27-47. DOI : 10.18032/kaaba/2019.32.1.27
DOI
|
61 |
J. H. Park & H. J. Oh. (2017). Comparison of Topic Modeling Methods for Analyzing Research Trends of Archives Management in Korea: focused on LDA and HDP. Journal of Korean Library and Information Science Society, 48(4), 235-258. DOI : 10.16981/kliss.48.201712.235
DOI
|
62 |
H. S. Ji, J. H. Joh & H. S. Lim. (2010). A Detection Method of Similar Sentences Considering Plagiarism Patterns of Korean Sentence. The Journal of Korean Association of Computer Education, 13(6), 79-89.
DOI
|
63 |
R. Arun., V. Suresh., C. E. Veni Madhavan & M. N. Narasimha Murthy. (2010). On Finding the Natural Number of Topics with Latent Dirichlet Allocation: Some Observations. In Advances in Knowledge Discovery and Data Mining (pp. 391-402). Springer Berlin Heidelberg. DOI : 10.1007/978-3-642-13657-3_43
DOI
|
64 |
D. H. Ko & H. J. Kim. (2018). Comparison of cluster models for group chat rooms. Journal of Korean Institute of Intelligent Systems, 28(2), 138-145.
DOI
|
65 |
M. J. Kim. (2020). How do Media Represent Humidifier Disinfectant Disaster?: A Content Analysis and Topic Modeling. The Korean Association for Environment Sociology, 24(1), 181-224. DOI : 10.22734/ECO.24.1.202006.005
DOI
|