Academic literature on the topic 'Personalized persuasion'
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Journal articles on the topic "Personalized persuasion"
Hirsh, Jacob B., Sonia K. Kang, and Galen V. Bodenhausen. "Personalized Persuasion." Psychological Science 23, no. 6 (April 30, 2012): 578–81. http://dx.doi.org/10.1177/0956797611436349.
Full textKaptein, Maurits. "Personalized persuasion in Ambient Intelligence." Journal of Ambient Intelligence and Smart Environments 4, no. 3 (2012): 279–80. http://dx.doi.org/10.3233/ais-2012-0153.
Full textHoffmann, Florian, Roman Inderst, and Marco Ottaviani. "Persuasion Through Selective Disclosure: Implications for Marketing, Campaigning, and Privacy Regulation." Management Science 66, no. 11 (November 2020): 4958–79. http://dx.doi.org/10.1287/mnsc.2019.3455.
Full textLi, Cong, Jiangmeng Liu, and Cheng Hong. "The Effect of Preference Stability and Extremity on Personalized Advertising." Journalism & Mass Communication Quarterly 96, no. 2 (June 6, 2018): 406–27. http://dx.doi.org/10.1177/1077699018782203.
Full textGena, Cristina, Pierluigi Grillo, Antonio Lieto, Claudio Mattutino, and Fabiana Vernero. "When Personalization Is Not an Option: An In-The-Wild Study on Persuasive News Recommendation." Information 10, no. 10 (September 26, 2019): 300. http://dx.doi.org/10.3390/info10100300.
Full textBuchanan, Rachel. "Through growth to achievement: Examining edtech as a solution to Australia’s declining educational achievement." Policy Futures in Education 18, no. 8 (March 26, 2020): 1026–43. http://dx.doi.org/10.1177/1478210320910293.
Full textMažylis, Liudas, Ingrida Unikaitė-Jakuntavičienė, and Romualdas Povilaitis. "Specifics of Communication in Lithuanian Voting Campaigns, 2012-2016." Slovak Journal of Political Sciences 17, no. 1 (January 1, 2017): 49–65. http://dx.doi.org/10.1515/sjps-2017-0003.
Full textCalvaresi, Davide, Jean-Paul Calbimonte, Enrico Siboni, Stefan Eggenschwiler, Gaetano Manzo, Roger Hilfiker, and Michael Schumacher. "EREBOTS: Privacy-Compliant Agent-Based Platform for Multi-Scenario Personalized Health-Assistant Chatbots." Electronics 10, no. 6 (March 12, 2021): 666. http://dx.doi.org/10.3390/electronics10060666.
Full textKhaghani Far, Iman, Michela Ferron, Francisco Ibarra, Marcos Baez, Stefano Tranquillini, Fabio Casati, and Nicola Doppio. "The interplay of physical and social wellbeing in older adults: investigating the relationship between physical training and social interactions with virtual social environments." PeerJ Computer Science 1 (November 25, 2015): e30. http://dx.doi.org/10.7717/peerj-cs.30.
Full textSuau-Jiménez, Francisca. "Closeness and distance through the agentive authorial voice." International Journal of English Studies 20, no. 1 (June 27, 2020): 73–92. http://dx.doi.org/10.6018/ijes.416301.
Full textDissertations / Theses on the topic "Personalized persuasion"
Rönnberg, Sofia. "Persuasive Chatbot Conversations : Towards a Personalized User Experience." Thesis, Linköpings universitet, Institutionen för datavetenskap, 2020. http://urn.kb.se/resolve?urn=urn:nbn:se:liu:diva-166354.
Full textDonaldson, Jacob. "Empathy in Security: The Effect of Personalized Awareness and Training Initiatives on Information Security Attitude and Behavioral Intention." Ohio University Honors Tutorial College / OhioLINK, 2021. http://rave.ohiolink.edu/etdc/view?acc_num=ouhonors1618497031421455.
Full text"DESIGN FOR BEHAVIOUR CHANGE: A MODEL-DRIVEN APPROACH FOR TAILORING PERSUASIVE TECHNOLOGIES." Thesis, 2014. http://hdl.handle.net/10388/ETD-2014-06-1555.
Full textNunes, Cláudia Sofia Flores. "The power of persuasion and relationship marketing in key account managers performance." Master's thesis, 2015. http://hdl.handle.net/10071/11474.
Full textThe sales department of an organization is in fact an open door of communication with the surrounding environment. They are the partners of this communication, that is, those who sell and those who buy that mark in a decisive manner the business (in)success in a globalized world. It based on these aspects that there is a need to analyze and understand the performance of sales representatives, and how to optimize their performance. The Key Account Management (KAM) arises in this context of a business environment of constant change, where the increasingly complex relationships have been changing the nature of sales and imposing an urgent need to better understand and tailor treatment of key relationships to the business. Key Accounts (KA) thus represent one of the most significant opportunities for a company to develop successful partnerships and boost their sales. This thesis aims to analyze the paradigm shift and the changing dynamics of the relationship between the KAM and its customers, with the ultimate goal of understanding how can the KAM make more effective their actions. For this, it will be review the structure of the KA program and KAM's relationship with the customer, through personalization, persuasion techniques, the ability to manage change; relating them to the effectiveness of the KAM. It is therefore of utmost importance to investigate and analyze their communication and relationship building with customers in greater depth. Previous research, theories and recent publications are also reviewed in the dissertation.
Lueh, Shi-Liang, and 呂世良. "A Personalized-Persuasive Message Mechanism for Relationship Marketing: A Example of Peer-to-Peer Network." Thesis, 2001. http://ndltd.ncl.edu.tw/handle/33199208011946508576.
Full text國立中正大學
資訊管理學系
89
Current marketing campaigns are mostly accomplished by focusing on past shopping records, individual background data and relative message. However, these campaigns ignore the difference among individuals, such as the perception of goods, personal relevance, attitude and so on. In contrast, the emerging peer-to-peer network community reveals a special opportunity for marketing, where it’s member are considered as highly involved. That is on-going information searching, personal preference and basic understanding of information. The study attempts to incorporate persuasive messages in marketing to users of peer-to-peer network community. Therefore, the personalized-persuasive message mechanism tries to comprehend the customer’s behavior, preference by analysis and integrate profiling, persuasive theory with the mechanism to form customized marketing persuasive message. In addition to persuasive message, the system offers information about the groups who have the same hobbies. Users can share libraries, converse immediately based on the group information. This research adopts the concept of personalisuasion into account. Personalisuasion emphasizes that every individual has different traits and goals, and can be in different contextual states during the course of a marketing campaign. Hence, the mechanism using profiling and strategy will greatly increase the persuasive power of marketing. The profiling uses collaborative filtering based on user’s background data, records and psychographic variables such as involvement, perception and prior knowledge. Based for marketing purpose, the system will construct personalized-persuasive messages. In addition, the system provides information for users of the same hobbies group to based on user data and knowledge structure, which allows the members to acquaint with the community situation, interact with others instantaneously and solidifies members.
Books on the topic "Personalized persuasion"
de Vries, Peter W., Harri Oinas-Kukkonen, Liseth Siemons, Nienke Beerlage-de Jong, and Lisette van Gemert-Pijnen, eds. Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55134-0.
Full textVries, Peter W. de, Harri Oinas-Kukkonen, Liseth Siemons, Nienke Beerlage-de Jong, and Lisette van Gemert-Pijnen. Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors. Springer, 2017.
Find full textBook chapters on the topic "Personalized persuasion"
Mukhtar, Hamid, Arshad Ali, Sungyoung Lee, and Djamel Belaïd. "Personalized Healthcare Self-management Using Social Persuasion." In Impact Analysis of Solutions for Chronic Disease Prevention and Management, 66–73. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-30779-9_9.
Full textSakai, Ryo, Sarah Van Peteghem, Leoni van de Sande, Peter Banach, and Maurits Kaptein. "Personalized Persuasion in Ambient Intelligence: The APStairs System." In Lecture Notes in Computer Science, 205–9. Berlin, Heidelberg: Springer Berlin Heidelberg, 2011. http://dx.doi.org/10.1007/978-3-642-25167-2_26.
Full textAloulou, Houssem, Hamdi Aloulou, Bessam Abdulrazak, and Ahmed Hadj Kacem. "Personalized and Contextualized Persuasion System for Older Adults’ Physical Activity Promoting." In Lecture Notes in Computer Science, 142–54. Cham: Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-51517-1_12.
Full textShahid, Suleman, Nicole Heise, and Sundas Zaman. "Personalized Persuasion in Online Advertisements: A Case Study of a Micro-Funding Website." In Human-Computer Interaction – INTERACT 2017, 433–41. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-67687-6_29.
Full textAnagnostopoulou, Evangelia, Babis Magoutas, Efthimios Bothos, Johann Schrammel, Rita Orji, and Gregoris Mentzas. "Exploring the Links Between Persuasion, Personality and Mobility Types in Personalized Mobility Applications." In Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors, 107–18. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55134-0_9.
Full textBusch, Marc, Johann Schrammel, and Manfred Tscheligi. "Personalized Persuasive Technology – Development and Validation of Scales for Measuring Persuadability." In Persuasive Technology, 33–38. Berlin, Heidelberg: Springer Berlin Heidelberg, 2013. http://dx.doi.org/10.1007/978-3-642-37157-8_6.
Full textKhan, Mina, Glenn Fernandes, and Pattie Maes. "Users Want Diverse, Multiple, and Personalized Behavior Change Support: Need-Finding Survey." In Persuasive Technology, 245–55. Cham: Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-79460-6_20.
Full textBusch, Marc, Elke Mattheiss, Michaela Reisinger, Rita Orji, Peter Fröhlich, and Manfred Tscheligi. "More than Sex: The Role of Femininity and Masculinity in the Design of Personalized Persuasive Games." In Persuasive Technology, 219–29. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-31510-2_19.
Full textOrji, Rita. "Why Are Persuasive Strategies Effective? Exploring the Strengths and Weaknesses of Socially-Oriented Persuasive Strategies." In Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors, 253–66. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55134-0_20.
Full textSiawsolit, Chokdee, Sarun Seepun, Jennifer Choi, An Do, and Yu Kao. "Personalized Assistant for Health-Conscious Grocery Shoppers." In Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviors, 95–106. Cham: Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-55134-0_8.
Full textConference papers on the topic "Personalized persuasion"
Wang, Xuewei, Weiyan Shi, Richard Kim, Yoojung Oh, Sijia Yang, Jingwen Zhang, and Zhou Yu. "Persuasion for Good: Towards a Personalized Persuasive Dialogue System for Social Good." In Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics. Stroudsburg, PA, USA: Association for Computational Linguistics, 2019. http://dx.doi.org/10.18653/v1/p19-1566.
Full textAnagnostopoulou, Evangelia, Babis Magoutas, Efthimios Bothos, and Gregoris Mentzas. "Personalized persuasion services for route planning applications." In 2017 IEEE 20th International Conference on Intelligent Transportation Systems (ITSC). IEEE, 2017. http://dx.doi.org/10.1109/itsc.2017.8317965.
Full textvan Huysduynen, Hanneke Hooft, Jacques Terken, and Berry Eggen. "Encouraging the Use of ADAS through Personalized Persuasion." In AutomotiveUI'16: 8th International Conference on Automotive User Interfaces and Interactive Vehicular Applications. New York, NY, USA: ACM, 2016. http://dx.doi.org/10.1145/3004323.3004335.
Full textNkwo, Makuochi, and Rita Orji. "Personalized Persuasion to Promote Positive Work Attitudes in Public Workplaces." In UMAP '19: 27th Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2019. http://dx.doi.org/10.1145/3314183.3323858.
Full textNoorbehbahani, Fakhroddin, and Zeinab Zarein. "The Impact of Demographic Factors on Persuasion Strategies in Personalized Recommender System." In 2018 8th International Conference on Computer and Knowledge Engineering (ICCKE). IEEE, 2018. http://dx.doi.org/10.1109/iccke.2018.8566550.
Full textOyibo, Kiemute, Ifeoma Adaji, Rita Orji, Jaap Ham, and Julita Vassileva. "Adaptive and Personalized Persuasive Technologies." In UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3450614.3461450.
Full textDing, Tao, and Shimei Pan. "Personalized Emphasis Framing for Persuasive Message Generation." In Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing. Stroudsburg, PA, USA: Association for Computational Linguistics, 2016. http://dx.doi.org/10.18653/v1/d16-1150.
Full text"Towards Individualised Persuasive Technology for Obesity Prevention in Teenagers." In Special Session on Signals and Signs Understanding for Personalized Guidance to Promote Healthy Lifestyles. SCITEPRESS - Science and and Technology Publications, 2014. http://dx.doi.org/10.5220/0004938805910598.
Full textVassileva, Julita. "Personalized Persuasive Technologies for Engagement and Behaviour Change." In UMAP '21: 29th ACM Conference on User Modeling, Adaptation and Personalization. New York, NY, USA: ACM, 2021. http://dx.doi.org/10.1145/3450613.3465414.
Full textOyibo, Kiemute, Ifeoma Adaji, Rita Orji, and Julita Vassileva. "UMAP 2019 ADAPPT (Adaptive and Personalized Persuasive Technology) Workshop Chairs' Welcome & Organization." In Adjunct Publication of the 27th Conference. New York, New York, USA: ACM Press, 2019. http://dx.doi.org/10.1145/3314183.3323848.
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