Archives (DPS理院專班)

2022/01/20

  • 曾鈺榮。論文研究 [ppt]
  • Farrelly, D., & Bennett, M. (2018). Empathy leads to increased online charitable behaviour when time is the currency. Journal of Community & Applied Social Psychology, 28(1), 42-46.[ppt][pdf]

2022/01/06

  • 曾鈺榮。論文研究 [ppt]
  • Peer, E., Egelman, S., Harbach, M., Malkin, N., Mathur, A., & Frik, A. (2020). Nudge me right: Personalizing online security nudges to people’s decision-making styles. Computers in Human Behavior, 109, 106347.[ppt][pdf]

2021/12/23

  • Nabi, R. L., & Green, M. C. (2015). The role of a narrative’s emotional flow in promoting persuasive outcomes. Media Psychology, 18(2), 137-162.[ppt][pdf]

2021/12/09

  • Hoeken, H., Kolthoff, M., & Sanders, J. (2016). Story perspective and character similarity as drivers of identification and narrative persuasion. Human Communication Research, 42(2), 292-311.[ppt][pdf]

2021/11/25

  • Ahn, J., Kim, J., & Sung, Y. (2021). AI-powered recommendations: the roles of perceived similarity and psychological distance on persuasion. International Journal of Advertising, 1-19.[ppt][pdf]
  • 結果報告.[ppt]

2021/11/11

  • Chalaguine, L., & Hunter, A. (2021, September). Addressing Popular Concerns Regarding COVID-19 Vaccination with Natural Language Argumentation Dialogues. In European Conference on Symbolic and Quantitative Approaches with Uncertainty (pp. 59-73). Springer, Cham.[ppt][pdf]

2021/10/28

  • Grewal, D., Ahlbom, C. P., Beitelspacher, L., Noble, S. M., & Nordfält, J. (2018). In-store mobile phone use and customer shopping behavior: Evidence from the field. Journal of Marketing.[ppt][pdf]
  • Altay, S., Schwartz, M., Hacquin, A., Blancke, S., & Mercier, H. (2020). Scaling up interactive argumentation by providing counterarguments with a chatbot.[ppt][pdf]
  • Chu, A. M., & So, M. K. (2020). Organizational information security management for sustainable information systems: An unethical employee information security behavior perspective. Sustainability, 12(8), 3163. [ppt][pdf]

2021/10/14

  • Kim, E. A., & Muralidharan, S. (2020). The Role of Empathy and Efficacy In Public Service Announcements: Using Narratives to Induce Bystander Intervention in Domestic Violence. Journal of Advertising Research, 60(4), 452-466.[ppt][pdf]
  • Tam, L., Glassman, M., & Vandenwauver, M. (2010). The psychology of password management: a tradeoff between security and convenience. Behaviour & Information Technology, 29(3), 233-244.[ppt][pdf]

2021/09/30

  • Schuetz, S. W., Benjamin Lowry, P., Pienta, D. A., & Bennett Thatcher, J. (2020). The Effectiveness of Abstract Versus Concrete Fear Appeals in Information Security. Journal of Management Information Systems, 37(3), 723-757. [ppt][pdf]
  • Zhang, J., Oh, Y. J., Lange, P., Yu, Z., & Fukuoka, Y. (2020). Artificial intelligence Chatbot behavior change model for designing artificial intelligence Chatbots to promote physical activity and a healthy diet. Journal of medical Internet research, 22(9), e22845. [ppt][pdf]

2021/09/16

  • Brügger, A., Morton, T. A., & Dessai, S. (2016). “Proximising” climate change reconsidered: A construal level theory perspective. Journal of environmental psychology, 46, 125-142.[ppt][pdf]
  • Fiedler, K. (2007). Construal level theory as an integrative framework for behavioral decision‐making research and consumer psychology. Journal of Consumer Psychology, 17(2), 101-106. [ppt][pdf]
  • Ho, A., Hancock, J., & Miner, A. S. (2018). Psychological, relational, and emotional effects of self-disclosure after conversations with a chatbot. Journal of Communication, 68(4), 712-733. [ppt][pdf]

2021/09/02

  • Trope, Y., & Liberman, N. (2010). Construal-level theory of psychological distance. Psychological review, 117(2), 440.[ppt][pdf]
  • Calvo-Morata, A., Alonso-Fernández, C., Freire, M., Martínez-Ortiz, I., & Fernández-Manjón, B. (2020). Serious games to prevent and detect bullying and cyberbullying: A systematic serious games and literature review. Computers & Education, 157, 103958. [ppt][pdf]
  • Chan-Olmsted, S., & Wang, R. (2020). Understanding podcast users: Consumption motives and behaviors. New Media & Society, 1461444820963776. [ppt][pdf]

2021/08/12

  • Chun, J., Lee, J., Kim, J., & Lee, S. (2020). An international systematic review of cyberbullying measurements. Computers in human behavior, 106485.[ppt][pdf]
  • Chung, M. Y., & Kim, H. S. (2015). College students’ motivations for using podcasts. Journal of Media Literacy Education, 7(3), 13-28. [ppt][pdf]

2021/07/29

  • Liu, W., Zeng, L., & Wang, Q. (2021). Psychological Distance Toward Air Pollution and Purchase Intention for New Energy Vehicles: An Investigation in China. Frontiers in psychology, 12, 817.[ppt][pdf]
  • Craig, C. M., Brooks, M. E., & Bichard, S. (2021). PODCASTING ON PURPOSE: EXPLORING MOTIVATIONS FOR PODCAST USE AMONG YOUNG ADULTS. International Journal of Listening, 1-10.[ppt][pdf]
  • Kaleta, J. P., Lee, J. S., & Yoo, S. (2019). Nudging with construal level theory to improve online password use and intended password choice: A security-usability tradeoff perspective. Information Technology & People.[ppt][pdf]
  • 洪翊盛論文附錄。[pdf]

2021/07/15

  • 洪翊盛論文架構 (需要修改).[word]

2021/05/11

  • Chung, S., & Park, J. (2017). Exploring consumer evaluations in social media: The role of psychological distance between company and consumer. Computers in Human Behavior, 76, 312-320.[ppt][pdf]
  • Breves, P., & Schramm, H. (2021). Bridging psychological distance: The impact of immersive media on distant and proximal environmental issues. Computers in Human Behavior, 115, 106606..[ppt][pdf]
  • Huang, D. L., Rau, P. L. P., Salvendy, G., Gao, F., & Zhou, J. (2011). Factors affecting perception of information security and their impacts on IT adoption and security practices. International Journal of Human-Computer Studies, 69(12), 870-883.[ppt][pdf]

2021/04/27

  • Moody, G. D., Siponen, M., & Pahnila, S. (2018). Toward a unified model of information security policy compliance. MIS quarterly, 42(1).[ppt][pdf]

2021/04/13

  • Wang, W., Chen, R. R., Ou, C. X., & Ren, S. J. (2019). Media or message, which is the king in social commerce?: An empirical study of participants’ intention to repost marketing messages on social media. Computers in Human Behavior, 93, 176-191.[ppt][pdf]
  • Wang, Z., & Yang, X. (2019). Understanding backers’ funding intention in reward crowdfunding: An elaboration likelihood perspective. Technology in Society, 58, 101-149.[ppt][pdf]
  • Perks, L. G., & Turner, J. S. (2019). Podcasts and productivity: A qualitative uses and gratifications study. Mass Communication and Society, 22(1), 96-116.[ppt][pdf]

2021/03/23

  • Chang, H. H., Lu, Y. Y., & Lin, S. C. (2020). An elaboration likelihood model of consumer respond action to facebook second-hand marketplace: Impulsiveness as a moderator. Information & Management, 57(2), 103-171.[ppt][pdf]
  • Manis, K. T., & Choi, D. (2019). The virtual reality hardware acceptance model (VR-HAM): Extending and individuating the technology acceptance model (TAM) for virtual reality hardware. Journal of Business Research, 100, 503-513.[ppt][pdf]

2021/03/09

  • Li, H., Sarathy, R., & Xu, H. (2011). The role of affect and cognition on online consumers’ decision to disclose personal information to unfamiliar online vendors. Decision Support Systems, 51(3), 434-445.[ppt][pdf]

2021/02/04

  • Chang, H. H., Lu, Y. Y., & Lin, S. C. (2020). An elaboration likelihood model of consumer respond action to facebook second-hand marketplace: Impulsiveness as a moderator. Information & Management, 57(2), 103-171.[ppt][pdf]

2021/01/21

  • Chang, C. L. H. (2011). The effect of an information ethics course on the information ethics values of students–A Chinese guanxi culture perspective. Computers in Human Behavior, 27(5), 2028-2038.[ppt][pdf]
  • Khan, M. L. (2017). Social media engagement: What motivates user participation and consumption on YouTube?. Computers in human behavior, 66, 236-247.[ppt][pdf]

2021/01/07

  • Ingram, K. M., Espelage, D. L., Merrin, G. J., Valido, A., Heinhorst, J., & Joyce, M. (2019). Evaluation of a virtual reality enhanced bullying prevention curriculum pilot trial. Journal of adolescence, 71, 72-83.[ppt][pdf]

2020/12/03

  • Ma, X., & Ma, H. (2020). Comparative study of graphic-based tag clouds: theory and experimental evaluation for information search. Online Information Review.[ppt][pdf]
  • Sheldon, P., & Bryant, K. (2016). Instagram: Motives for its use and relationship to narcissism and contextual age. Computers in human Behavior, 58, 89-9.[ppt][pdf]
  • Wang, Q., Liu, M., Shi, W., & Kang, J. (2018). Mechanism of the SNARC effect in numerical magnitude, time sequence, and spatial sequence tasks: Involvement of LTM and WM. Frontiers in psychology, 9, 1558.[ppt][pdf]

2020/11/19

  • Leuthold, S., Schmutz, P., Bargas-Avila, J. A., Tuch, A. N., & Opwis, K. (2011). Vertical versus dynamic menus on the world wide web: Eye tracking study measuring the influence of menu design and task complexity on user performance and subjective preference. Computers in human behavior, 27(1), 459-472.[ppt][pdf]
  • Proctor, R. W., & Vu, K. P. L. (2016). Principles for designing interfaces compatible with human information processing. International Journal of Human-Computer Interaction, 32(1), 2-22.[ppt][pdf]
  • Rouet, J. F., Vörös, Z., & Pléh, C. (2012). Incidental learning of links during navigation: The role of visuo-spatial capacity. Behaviour & Information Technology, 31(1), 71-81.[ppt][pdf]

2020/11/5

  • Bergman, O., Israeli, T., Whittaker, S., Yanai, N., & Amichai-Hamburger, Y. (2020). The effect of personality traits on file retrieval. iConference 2020 Proceedings.[ppt][pdf]
  • Bergman, O., Whittaker, S., & Falk, N. (2014). Shared files: The retrieval perspective. Journal of the Association for Information Science and Technology, 65(10), 1949-1963.[ppt][pdf]
  • Fischer, M. H., & Shaki, S. (2017). Implicit spatial-numerical associations: Negative numbers and the role of counting direction. Journal of Experimental Psychology: Human Perception and Performance, 43(4), 639.[ppt][pdf]

2020/10/22

  • Clearman, J., Klinger, V., & Szűcs, D. (2017). Visuospatial and verbal memory in mental arithmetic. Quarterly Journal of Experimental Psychology, 70(9), 1837-1855.[ppt][pdf]
  • Lohmann, J., Schroeder, P. A., Nuerk, H. C., Plewnia, C., & Butz, M. V. (2018). How deep is your SNARC? Interactions between numerical magnitude, response hands, and reachability in peripersonal space. Frontiers in psychology, 9, 622.[ppt][pdf]
  • Punchoojit, L., & Hongwarittorrn, N. (2017). Usability studies on mobile user interface design patterns: a systematic literature review. Advances in Human-Computer Interaction, 2017.[ppt][pdf]
  • Walhout, J., Brand-Gruwel, S., Jarodzka, H., Van Dijk, M., De Groot, R., & Kirschner, P. A. (2015). Learning and navigating in hypertext: Navigational support by hierarchical menu or tag cloud?. Computers in Human Behavior, 46, 218-227.[ppt][pdf]

2020/09/10

  • Hsu, T. C., & Hwang, G. J. (2017). Effects of a structured resource-based web issue-quest approach on students’ learning performances in computer programming courses. Journal of Educational Technology & Society, 20(3), 82-94..[ppt][pdf]
  • Sixtus, E., Lonnemann, J., Fischer, M. H., & Werner, K. (2019). Mental number representations in 2D space. Frontiers in psychology, 10, 172.[ppt][pdf]

2020/08/27

  • Kucuk, S., & Sisman, B. (2017). Behavioral patterns of elementary students and teachers in one-to-one robotics instruction. Computers & Education, 111, 31-43.[ppt][pdf]
  • Venkatesh, V., & Bala, H. (2008). Technology acceptance model 3 and a research agenda on interventions. Decision sciences, 39(2), 273-315.[ppt][pdf]

2020/08/13

  • Edwards, C., Edwards, A., Spence, P. R., & Westerman, D. (2016). Initial interaction expectations with robots: Testing the human-to-human interaction script. Communication Studies, 67(2), 227-238. [ppt][pdf]
  • User Acceptance of Information Technology: Toward a Unified View Author(s): Viswanath Venkatesh, Michael G. Morris, Gordon B. Davis and Fred D. Davis Source: MIS Quarterly , Sep., 2003, Vol. 27, No. 3 (Sep., 2003), pp. 425-478 [ppt][pdf]

2020/07/30

  • Fridin, M., & Belokopytov, M. (2014). Acceptance of socially assistive humanoid robot by preschool and elementary school teachers. Computers in Human Behavior, 33, 23-31. [ppt][pdf]
  • Language and Culture in Mathematical Cognition, Chapter 3: Linguistic and experiential factors as predictors of young children/s early numeracy skills. [ppt]
  • Arpaci, I. (2019). A hybrid modeling approach for predicting the educational use of mobile cloud computing services in higher education. Computers in Human Behavior, 90, 181-187. [ppt][pdf]
  • Widjaja, A. E., Chen, J. V., Sukoco, B. M., & Ha, Q. A. (2019). Understanding users’ willingness to put their personal information on the personal cloud-based storage applications: An empirical study. Computers in Human Behavior, 91, 167-185. [ppt][pdf]

2020/07/16

  • Bergman, O., Whittaker, S., & Frishman, Y. (2019). Let’s get personal: the little nudge that improves document retrieval in the Cloud. Journal of documentation. [ppt][pdf]
  • Davis, F. D., Bagozzi, R. P., & Warshaw, P. R. (1989). User acceptance of computer technology: a comparison of two theoretical models. Management science, 35(8), 982-1003.[ppt][pdf]
  • Language and Culture in Mathematical Cognition, Chapter 2: Analogical mapping in numerical development. [ppt]
  • Benn, Y., Bergman, O., Glazer, L., Arent, P., Wilkinson, I. D., Varley, R., & Whittaker, S. (2015). Navigating through digital folders uses the same brain structures as real world navigation. Scientific reports, 5(1), 1-8. [ppt][pdf]

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