Teknolojik gelişmelerle birlikte, akıllı kişisel asistanların günlük yaşantımızda kullanımı önem kazandı. Gelecekte, yapay zekada tekniklerindeki gelişmelerle birlikte hayat yönetiminin akıllı kişisel asistanlar tarafından asiste edileceği öngörülüyor. Günümüzde hala akıllı kişisel asistanların tam potansiyeline ulaştığını söylemek mümkün değildir. Daha etkin bir kullanım için daha fazla tekniksel gelişmeye ihtiyaç duyuluyor, özellikle doğal dil işleme alanında. Bu nedenle, geliştirilmesi gereken konular karşılaşılan zorluklar bazında tespit edilmelidir. Sorunlara daha etkin çözümler üretmek için, öncelikle bir genel değerlendirme yapılmalıdır. Bu çalışmada, akıllı kişisel asistanların özellikleri incelendi ve varolan uygulamalara değinildi. Akıllı kişisel asistanların hangi özellikleri içermesi gerektiğini daha iyi anlamak için literatür taraması yapıldı. Kullanılan ve geliştirilmesi gereken özellikler gösterildi. Aşılması gereken zorluklar ve daha etkin ve yaygın bir kullanım için gerekli özellikler belirlendi.
With the latest technological advances, intelligent personal assistants are becoming part of our daily lives. Inthe future, with improvements in artificial intelligence techniques, it is foreseen that individuals’ lifemanagement will be greatly assisted by intelligent personal assistants. Today, it seems that intelligentpersonal assistants have not yet reached their full potential. For more efficient use, more technicaldevelopments are needed, especially in terms of natural language processing. In order to that, areas whichneed improvement must be determined based on which challenges are faced. In order to develop moreefficient solutions for problems, an initial fundamental evaluation is necessary. In this work, features ofintelligent personal assistants are examined and existing applications are referred to. For a betterunderstanding of what features an intelligent personal assistant must contain, a literature review wascompleted. In-use features which should be improved in the future, challenges challenges which need to beovercome, areas which could be made more efficient, and how to increase usage are determined ">
[PDF] Akıllı Kişisel Asistanlara Genel Bakış | [PDF] Overview of Intelligent Personal Assistants
Teknolojik gelişmelerle birlikte, akıllı kişisel asistanların günlük yaşantımızda kullanımı önem kazandı. Gelecekte, yapay zekada tekniklerindeki gelişmelerle birlikte hayat yönetiminin akıllı kişisel asistanlar tarafından asiste edileceği öngörülüyor. Günümüzde hala akıllı kişisel asistanların tam potansiyeline ulaştığını söylemek mümkün değildir. Daha etkin bir kullanım için daha fazla tekniksel gelişmeye ihtiyaç duyuluyor, özellikle doğal dil işleme alanında. Bu nedenle, geliştirilmesi gereken konular karşılaşılan zorluklar bazında tespit edilmelidir. Sorunlara daha etkin çözümler üretmek için, öncelikle bir genel değerlendirme yapılmalıdır. Bu çalışmada, akıllı kişisel asistanların özellikleri incelendi ve varolan uygulamalara değinildi. Akıllı kişisel asistanların hangi özellikleri içermesi gerektiğini daha iyi anlamak için literatür taraması yapıldı. Kullanılan ve geliştirilmesi gereken özellikler gösterildi. Aşılması gereken zorluklar ve daha etkin ve yaygın bir kullanım için gerekli özellikler belirlendi. ">
Teknolojik gelişmelerle birlikte, akıllı kişisel asistanların günlük yaşantımızda kullanımı önem kazandı. Gelecekte, yapay zekada tekniklerindeki gelişmelerle birlikte hayat yönetiminin akıllı kişisel asistanlar tarafından asiste edileceği öngörülüyor. Günümüzde hala akıllı kişisel asistanların tam potansiyeline ulaştığını söylemek mümkün değildir. Daha etkin bir kullanım için daha fazla tekniksel gelişmeye ihtiyaç duyuluyor, özellikle doğal dil işleme alanında. Bu nedenle, geliştirilmesi gereken konular karşılaşılan zorluklar bazında tespit edilmelidir. Sorunlara daha etkin çözümler üretmek için, öncelikle bir genel değerlendirme yapılmalıdır. Bu çalışmada, akıllı kişisel asistanların özellikleri incelendi ve varolan uygulamalara değinildi. Akıllı kişisel asistanların hangi özellikleri içermesi gerektiğini daha iyi anlamak için literatür taraması yapıldı. Kullanılan ve geliştirilmesi gereken özellikler gösterildi. Aşılması gereken zorluklar ve daha etkin ve yaygın bir kullanım için gerekli özellikler belirlendi.
With the latest technological advances, intelligent personal assistants are becoming part of our daily lives. Inthe future, with improvements in artificial intelligence techniques, it is foreseen that individuals’ lifemanagement will be greatly assisted by intelligent personal assistants. Today, it seems that intelligentpersonal assistants have not yet reached their full potential. For more efficient use, more technicaldevelopments are needed, especially in terms of natural language processing. In order to that, areas whichneed improvement must be determined based on which challenges are faced. In order to develop moreefficient solutions for problems, an initial fundamental evaluation is necessary. In this work, features ofintelligent personal assistants are examined and existing applications are referred to. For a betterunderstanding of what features an intelligent personal assistant must contain, a literature review wascompleted. In-use features which should be improved in the future, challenges challenges which need to beovercome, areas which could be made more efficient, and how to increase usage are determined ">
Teknolojik gelişmelerle birlikte, akıllı kişisel asistanların günlük yaşantımızda kullanımı önem kazandı. Gelecekte, yapay zekada tekniklerindeki gelişmelerle birlikte hayat yönetiminin akıllı kişisel asistanlar tarafından asiste edileceği öngörülüyor. Günümüzde hala akıllı kişisel asistanların tam potansiyeline ulaştığını söylemek mümkün değildir. Daha etkin bir kullanım için daha fazla tekniksel gelişmeye ihtiyaç duyuluyor, özellikle doğal dil işleme alanında. Bu nedenle, geliştirilmesi gereken konular karşılaşılan zorluklar bazında tespit edilmelidir. Sorunlara daha etkin çözümler üretmek için, öncelikle bir genel değerlendirme yapılmalıdır. Bu çalışmada, akıllı kişisel asistanların özellikleri incelendi ve varolan uygulamalara değinildi. Akıllı kişisel asistanların hangi özellikleri içermesi gerektiğini daha iyi anlamak için literatür taraması yapıldı. Kullanılan ve geliştirilmesi gereken özellikler gösterildi. Aşılması gereken zorluklar ve daha etkin ve yaygın bir kullanım için gerekli özellikler belirlendi.
Overview of Intelligent Personal Assistants
With the latest technological advances, intelligent personal assistants are becoming part of our daily lives. Inthe future, with improvements in artificial intelligence techniques, it is foreseen that individuals’ lifemanagement will be greatly assisted by intelligent personal assistants. Today, it seems that intelligentpersonal assistants have not yet reached their full potential. For more efficient use, more technicaldevelopments are needed, especially in terms of natural language processing. In order to that, areas whichneed improvement must be determined based on which challenges are faced. In order to develop moreefficient solutions for problems, an initial fundamental evaluation is necessary. In this work, features ofintelligent personal assistants are examined and existing applications are referred to. For a betterunderstanding of what features an intelligent personal assistant must contain, a literature review wascompleted. In-use features which should be improved in the future, challenges challenges which need to beovercome, areas which could be made more efficient, and how to increase usage are determined
Aitenbichler, E., Kangasharju, J., & Mühlhauser, M. (2004). Talking assistant: A smart digital identity for ubiquitous computing. Advances in Pervasive Computing, 279–284.
Albrecht, S.V., & Stone, P. (2018). Autonomous agents modelling other agents: A comprehensive survey and open problems. Artificial Intelligence, 258, 66–95. https://doi.org/10.1016/j.artint.2018.01.002
Apthorpe, N., Reisman, D., & Feamster, N. (2016). A smart home is no castle: Privacy vulnerabilities of encrypted iot traffic. Paper presented at the Workshop on Data and Algorithmic Transparency (DAT’16), New York, USA.
Azvine B., Djian D., Tsui K.C., & Wobcke W. (2000). The intelligent assistant: An overview. In A. Behnam, N. Detlef & A. Nader (Eds.), Intelligent systems and soft computing. Lecture notes in computer science (Vol. 1804, pp.215–238). Berlin, Heidelberg: Springer.
Bayus, B., Jain, S., & Rao, A. (1997). Too little, too early: Introduction timing and new product performance in the personal digital assistant industry. Journal of Marketing Research, 34(1), 50–63. https://doi.org/10.1177/002224379703400105
Botta, A., De Donato, W., Persico, V., & Pescapé, A. (2016). Integration of cloud computing and internet of things: A survey. Future Generation Computer Systems, 56, 684–700. http://dx.doi.org/10.1016/j.future.2015.09.021
Brennan, S. (1990). Conversation as direct manipulation: An iconoclastic view. In L. Brenda (Ed.), The art of human computer ınterface design (pp. 393–404). Boston, MA: Addison-Wesley.
Chen, G., & Kotz, D. (2000). A survey of context-aware mobile computing research. Open Dartmouth: Faculty OpenAccess Articles, 3212.
Chung, H., Iorga, M., Voas, J., & Lee, S. (2017). Alexa, can i trust you? Computer, 50(9), 100–104. http://dx.doi.org/10.1109/MC.2017.3571053
Chowdhury, S. S., Talukdar, A., Mahmud, A., & Rahman, T. (2018). Domain specific intelligent personal assistant with bilingual voice command processing. TENCON 2018 - 2018 IEEE Region 10 Conference (pp. 731–734). Jeju, South Korea: IEEE.
Czibula, G., Guran, A., Czibula, I.G., & Cojocar, G.S. (2009). IPA - An intelligent personal assistant agent for task performance support. IEEE 5th International Conference on Intelligent Computer Communication and Processing (pp. 31–34). Cluj-Napoca, Romania: IEEE.
Deng, L., & Yu, D. (2014). Deep learning: Methods and applications. Foundations and Trends® in Signal Processing, 7(3–4), 197–387. http://dx.doi. org/10.1561/2000000039
Dey, A. (2000). Providing architectural support for building context-aware applications (Doctoral dissertation, Georgia Institute of Technology). Retrieved from https://diuf.unifr.ch/drupal/sites/diuf.unifr.ch.drupal.softeng/files/teaching/seminar/SE2003/resources/dey-thesis.pdf
Dey, A. K., & Abowd, G. D. (2000). CybreMinder: A context-aware system for supporting reminders. In P. Thomas & H. W. Gellersen (Eds.), Handheld and ubiquitous computing, HUC 2000, lecture notes in computer science (Vol. 1927, pp.172—186). Berlin, Heidelberg, Germany: Springer.
Duffy, B. R. (2003). Anthropomorphism and the social robot. Robotics and Autonomous Systems, 42(3-4), 177–190. https://doi.org/10.1016/ S0921-8890(02)00374-3
Epley, N., Waytz, A., Alkalis, S., & Cacioppo, J.T. (2008). When we need a human: Motivational determinants of anthropomorphism. Social Cognition, 26(2), 143–155. https://doi.org/10.1521/soco.2008.26.2.143
European Commission Digital Transformation Monitor. (2018, January). The rise of virtual personal assistants. European Union: Bonneau, V., Probst, L., & Lefebvre, V.
Garrido, P., Martinez, F., J., & Guetl, C. (2010). Adding semantic web knowledge to intelligent personal assistant agents. P. Cudre-Mauroux & B. Parsia (Ed.), ISWC 2010 - The Ninth International Semantic Web Conference (pp. 1-12). Shanghai, China: Philippe Cudre-Mauroux.
Gentry, T., Wallace, J., Kvarfordt, C., & Lynch, K. (2010). Personal digital assistants as cognitive aids for high school students with autism: Results of a communitybased trial. Journal of Vocational Rehabilitation, 32, 101–107. https://doi.org/10.3233/JVR-2010-0499
Goldberg, Y. (2017). Neural network methods for natural language processing. Synthesis Lectures on Human Language Technologies, 10(1), 1–309. https://doi.org/10.2200/S00762ED1 V01Y201703HLT037
Göksel-Canbek, N., & Mutlu, M. (2016). On the track of artificial intelligence: Learning with intelligent personal assistants. Journal of Human Sciences, 13(1), 592-601. https://doi.org/10.14687/ijhs.v13i1.3549
Göksel-Canbek, N., & Mutlu, M. (2016). Sayısal gelecekte yeni adım: Akıllı kişisel yardımcılar. Açıköğretim Uygulamaları ve Araştırmaları Dergisi, 2(1), 114-129.
Gray, H. M., Gray, K., & Wegner, D. M. (2007). Dimensions of Mind Perception. Science, 315(5812), 619. https://doi.org/10.1126/science.1134475
Leyens, J.-P., Cortes, B., Demoulin, S., Dovidio, J. F., Fiske, S. T., Gaunt, R … Vaes, J. (2003). Emotional prejudice, essentialism, and nationalism. European Journal of Social Psychology, 33(6), 703–717. https://doi.org/10.1002/ejsp.170
Gubbi, J., Buyya, R., Marusic, S., & Palaniswami, M. (2013). Internet of things (IoT): A vision, architectural elements, and future directions. Future Generation Computer Systems, 29(7), 1645–1660.
Hartmann, M. (2010). Context-aware intelligent user interfaces for supporting system use (Doctoral dissertation). Retrieved from http://tuprints.ulb. tu-darmstadt.de/2165/
Hirschberg, J., & Manning, C. D. (2015). Advances in natural language processing. Science, 349, 261-266. https://doi.org/10.1126/science.aaa8685
Jalali-Sohi, M., & Baskaya, F. (2001). A multi-modal shopping assistant for home e-commerce. In Proceedings of the Fourteenth International Florida Artificial Intelligence Research Society Conference (pp. 2–6). Key West, FL: AAAI.
Ji, Z., Ganchev, I., O’Droma, M., Zhao, L., & Zhang, X. (2014). A cloud-based car parking middleware for IoT-based smart cities: Design and Implementation. Sensors, 14(12), 22372–22393.
Kim, Y., & Sundar, S.S. (2012). Anthropomorphism of computers: Is it mindful or mindless? Computers in Human Behavior, 28, 241-250.
Knote, R.; Janson, A.; Eigenbrod, L., & Söllner, M. (2018, March). The what and how of smart personal assistants: Principles and application domains for IS reserach. Paper presented at Multikonferenz Wirtschaftsinformatik (MKWI), Lüneburg, Germany.
Kugurakova, V., Talanov, M., Manakhov, N., & Ivanov, D. (2015). Anthropomorphic artificial social agent with simulated emotions and its Implementation. Procedia Computer Science, 71, 112-118. https://doi.org/10.1016/j.procs.2015.12.217 LeCun, Y., Bengio, Y., & Hinton, G. (2015). Deep learning. Nature, 521, 436–444.
Looije, R., Neerincx, M. A., & Cnossen, F. (2010). Persuasive robotic assistant for health self-management of older adults: Design and evaluation of social behaviors. International Journal of Human-Computer Studies, 68(6), 386–397.
López, G., Quesada, L., & Guerrero, L. A. (2017). Alexa vs. Siri vs. Cortana vs. Google Assistant: A comparison of speech-based natural user interfaces. Advances in Human Factors and Systems Interaction, 241–250.
Lukowicz, P., Pentland, S., & Ferscha, A. (2012). From context awareness to socially aware computing. IEEE Pervasive Computing, 11(1), 32–41. https:// doi.org/10.1109/MPRV.2011.82
Luria, M., Hoffman, G., Megidish, B., Zuckerman, O., & Park, S. (2016, August). Designing Vyo, a robotic smart home assistant: Bridging the gap between device and social agent. 25th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN). Symposium conducted at the New York, USA.
Matsuyama, Y., Bhardwaj, A., Zhao, R., Romero, O.J., Akoju, S., & Cassell, J. (2016, September). Socially-aware animated intelligent personal assistant agent. Paper presented at the 17th Annual SIGdial Meeting on Discourse and Dialogue, Los Angeles, USA.
Mizoguchi, F., Nishiyama, H., Ohwada, H., & Hiraishi, H. (1999). Smart office robot collaboration based on multi-agent programming. Artificial Intelligence, 114(1-2), 57–94. https://doi.org/10.1016/s0004-3702(99)00068-5
Mueller, E.T. (2014). Commonsense reasoning: An event calculus based approach. USA: Morgan Kaufmann.
Myers, K., & Yorke-Smith, N. (2007). Proactive behavior of a personal assistive agent. In Proceedings of the AAMAS Workshop on Metareasoning in Agent-Based Systems (pp. 31–45). Honolulu, HI.
Nass, C., Moon, Y., Fogg, B. J., Reeves, B., & Dryer, D. C. (1995). Can computer personalities be human personalities? International Journal of Human– Computer Studies, 43, 223–239. https://doi.org/10.1006/ijhc.1995.1042
Nguyen, A., & Wobcke, W. (2005). An agent-based approach to dialogue management in personal assistants. In Proceedings of the 10th International Conference on Intelligent User Interfaces - IUI ’05 (pp. 137–144). San Diego, California, USA: ACM.
Nugraha, A. A., Taufiq, A., Utama, N. I., & Prihatmanto, A. S. (2010). Smart assistant for museum’s objects navigation (SAMsON). In Proceedings of The 5th AOTULE International Postgraduate Students Conference on Engineering (pp. 186–189). Bandung, Indonesia.
Pentland, A. (1997). Smart rooms, desks and clothes. In IEEE International Conference on Acoustics, Speech, and Signal Processing: Vol 1 (pp. 171– 174). Munich, Germany:IEEE.
Pentland, A. (1998). Smart rooms, smart clothes. In International Conference on Pattern Recognition (pp. 949-953). Brisbane, Queensland, Australia: IEEE.
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2012). CA4IOT: Context awareness for internet of things. In IEEE International Conference on Green Computing and Communications (pp. 775–782). Besancon, France: IEEE.
Perera, C., Zaslavsky, A., Christen, P., & Georgakopoulos, D. (2014). Context aware computing for the internet of things: A survey. In IEEE Communications Surveys & Tutorials, 16(1), 414–454. https://doi.org/10.1109/SURV.2013.042313.00197
Personal digital assistant. (2018, August 17). In A dictionary of computing. Retrieved from http://www.encyclopedia.com/computing/dictionariesthesauruses-pictures-and-press-releases/personal-digital-assistant
Rachuri, K.K., Musolesi, M., Mascolo, C., Rentfrow, P.J., Longworth, C., & Aucinas, A. (2010). Emotionsense: a mobile phones based adaptive platform for experimental social psychology research. In Proceedings of the 12th ACM international conference on Ubiquitous computing (pp. 281–290). Copenhagen, Denmark: ACM.
Rantanen, J., Impiö, J., Karinsalo, T., Malmivaara, M., Reho, A., Tasanen, M., & Vanhala, J. (2002). Smart clothing prototype for the arctic environment. Personal and Ubiquitous Computing, 6(1), 3–16. https://doi.org/10.1007/s007790200001
Russell, S. J., & Norvig, P. (1995). Artificial intelligence: A modern approach. Englewood Cliffs, NJ, USA: Prentice Hall.
Santos, J., Rodrigues, J. P. C., Casal, J., Saleem, K., & Denisov, V. (2018). Intelligent personal assistants based on Internet of things approaches. IEEE Systems Journal, 12(2), 1793–1802. https://doi.org/10.1109/JSYST.2016.2555292
Santos, J., Rodrigues, J. J. P. C., Silva, B.M.C., Casal, J., Saleem, K., & Denisov, V. (2016). An IoT-based mobile gateway for intelligent personal assistants on mobile health environments. Journal of Network and Computer Applications, 71, 194–204.
Schilit, B. N., Adams, N., & Want, R. (1994, December). Context-Aware computing applications. Paper presented at the IEEE Workshop on Mobile Computing Systems and Applications, December 8-9 1994.
Simon, B., Miklos, Z., Nejdl, W., Sintek, M., & Salvachua, J. (2003, May). Smart space for learning: A mediation infrastructure for learning services. Paper presented at the Proc. of 12th International World Wide Web Conference, Budapest, Hungary
Srinivasan, A., & Madheswari, A. (2018). The role of smart personal assistant for improving personal healthcare. International Journal of Advanced Engineering, Management and Science, 4(11), 769–772.
The rise of personal assistants. (2018, August 17). In Searchengineland. Retrieved from https://searchengineland.com/rise-personal-assistants-280658
Tsui, K. C., & Azvine, B. (2000). Intelligent multimodal user interface. In A. Behnam, N. Detlef & A. Nader (Eds.) Intelligent systems and soft computing. Lecture notes in computer science: Vol 1804 (pp. 259–283). Berlin, Heidelberg: Springer.
Wagner, D., Billinghurst, M., & Schmalstieg, D. (2006). How real should virtual characters be? In Proceedings of the 2006 ACM SIGCHI International Conference on Advances in Computer Entertainment Technology (Article 57). New York, NY, USA: ACM.
Wiggins III, & R. J Digit Imaging (2004). Personal digital assistants. Journal of Digital Imaging, 17(1), 5–17. https://doi.org/10.1007/ s10278-003-1665-8
Wood, A., Stankovic, J., Virone, G., Selavo, L., He, Z., Cao, Q. … Stoleru, R. (2008). Context-aware wireless sensor networks for assisted living and residential monitoring. IEEE Networks, 22(4), 26–33.
Wooldridge, M., & Jennings, N. (1995). Intelligent agents: Theory and practice. The Knowledge Engineering Review, 10(2), 115–152. https://doi. org/10.1017/S0269888900008122
Xia, F., Yang, L. T., Wang, L., & Vinel, A. (2012). Internet of things. International Journal of Communication Systems, 25(9), 1101–1102. https://doi. org/10.1002/dac.2417
Zaidenberg, S., & Reignier, P. (2011). Reinforcement learning of user preferences for a ubiquitous personal. In A. Mellouk (Ed.), Advances in reinforcement learning (pp. 59–80). INRIA, France: Intech.