Persuasive Technology for Human Development
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The Strength of Social Norms Across Human Groups
PPSXXX10.1177/1745691617708631Gelfand et al.Strength of Social Norms 708631research-article2017 Perspectives on Psychological Science 2017, Vol. 12(5) 800 –809 The Strength of Social Norms Across © The Author(s) 2017 Reprints and permissions: Human Groups sagepub.com/journalsPermissions.nav DOI:https://doi.org/10.1177/1745691617708631 10.1177/1745691617708631 www.psychologicalscience.org/PPS Michele J. Gelfand1, Jesse R. Harrington1, and Joshua Conrad Jackson2 1University of Maryland and 2University of North Carolina at Chapel Hill Abstract Social norms are a defining feature of human psychology, yet our understanding of them is still underdeveloped. In this article, we present our own cross-cultural research program on tightness-looseness (TL)—which draws on field, experimental, computational, and neuroscience methods—to illustrate how going beyond Western borders is critical for understanding social norms’ functions and their multilevel consequences. Cross-cultural research enables us to account for the universal features of norm psychology but also explains the great cultural diversity we see in social norms around the globe. Keywords culture, diversity, neuroscience, individual differences, environment Imagine a world where everyone drives on both sides around town, to having conversations, to running an of the road. There are stoplights but no one pays atten- organization turn into an uncoordinated mess. tion to them. Trains, buses, and airplanes don’t operate Perhaps because of their important role in human with any fixed schedule. In conversations, people don’t behavior, social norms have been a central topic of greet each other, interrupt each other frequently, and study in psychology. The earliest studies of normative invade each other’s space. -
The Influence of Real Human Personality on Social Presence With
International Conference on Artificial Reality and Telexistence Eurographics Symposium on Virtual Environments (2016) D. Reiners, D. Iwai, and F. Steinicke (Editors) The Influence of Real Human Personality on Social Presence with a Virtual Human in Augmented Reality Kangsoo Kim1 Gerd Bruder1 Divine Maloney2 Greg Welch1 1The University of Central Florida 2Sewanee: The University of the South Figure 1: Participant interacting with a virtual human in our experimental augmented reality environment. (A) The participant wears an optical see-through head-mounted display and sees the virtual human in either of two experimental conditions: (B) in the “Ignoring/Inconsistency” behavior condition, the virtual human passes through the physical chair (no occlusion) and does not ask for help from the participant, and (C) in the “Requesting/Consistency” behavior condition, the virtual human is naturally occluded by the physical objects and proactively asks help from the participant, to move the physical chair out of the way. Abstract Human responses to an interaction with a Virtual Human (VH) can be influenced by both external factors such as technology- related limitations, and internal factors such as individual differences in personality. While the impacts of external factors have been studied widely, and are typically controlled for in application scenarios, less attention has been devoted to the impacts of internal factors. We present the results of a human-subject experiment where we investigated a particular internal factor: the effects of extraversion–introversion traits of participants on the sense of social presence with a VH in an Augmented Reality (AR) setting. Our results indicate a positive association between a condition where the VH proactively requests help from the participant, and participants indicating higher social presence with the VH, regardless of their personality. -
Reflections on Social Norms and Human Rights
The Psychology of Social Norms and the Promotion of Human Rights Deborah A. Prentice Princeton University Chapter to appear in R. Goodman, D. Jinks, & A. K. Woods (Eds.), Understanding social action, promoting human rights. New York: Oxford University Press. This chapter was written while I was Visiting Faculty in the School of Social Sciences at the Institute for Advanced Study, Princeton, NJ. I would like to thank Jeremy Adelman, JoAnne Gowa, Bob Keohane, Eric Maskin, Dale Miller, Catherine Ross, Teemu Ruskola, Rick Shweder, and Eric Weitz for helpful discussions and comments on earlier drafts of the chapter. Please direct correspondence to: Deborah Prentice Department of Psychology Princeton University Green Hall Princeton, NJ 08540 [email protected] 1 Promoting human rights means changing behavior: Changing the behavior of governments that mistreat suspected criminals, opponents of their policies, supporters of their political rivals, and members of particular gender, ethnic, or religious groups; changing the behavior of corporations that mistreat their workers, damage the environment, and produce unsafe products; and changing the behavior of citizens who mistreat their spouses, children, and neighbors. In this chapter, I consider what an understanding of how social norms function psychologically has to contribute to this very worthy project. Social norms have proven to be an effective mechanism for changing health-related and environmental behaviors, so there is good reason to think that they might be helpful in the human-rights domain as well. In the social sciences, social norms are defined as socially shared and enforced attitudes specifying what to do and what not to do in a given situation (see Elster, 1990; Sunstein, 1997). -
Identification and Prediction of Human Behavior Through Mining Of
S S symmetry Review Identification and Prediction of Human Behavior through Mining of Unstructured Textual Data Mohammad Reza Davahli 1,*, Waldemar Karwowski 1 , Edgar Gutierrez 1,2 , Krzysztof Fiok 1 , Grzegorz Wróbel 3, Redha Taiar 4 and Tareq Ahram 1 1 Department of Industrial Engineering and Management Systems, University of Central Florida, Orlando, FL 32816, USA; [email protected] (W.K.); [email protected] (E.G.); fi[email protected] (K.F.); [email protected] (T.A.) 2 Center for Latin-American Logistics Innovation, LOGyCA, Bogota 110111, Colombia 3 Department of Logistics and Process Engineering, University of Information Technology and Management in Rzeszów, 35-225 Rzeszów, Poland; [email protected] 4 Sport Science Department, Université de Reims Champagne-Ardenne, 51100 Reims, France; [email protected] * Correspondence: [email protected] Received: 30 September 2020; Accepted: 17 November 2020; Published: 19 November 2020 Abstract: The identification of human behavior can provide useful information across multiple job spectra. Recent advances in applying data-based approaches to social sciences have increased the feasibility of modeling human behavior. In particular, studying human behavior by analyzing unstructured textual data has recently received considerable attention because of the abundance of textual data. The main objective of the present study was to discuss the primary methods for identifying and predicting human behavior through the mining of unstructured textual data. Of the 823 articles analyzed, 87 met the predefined inclusion criteria and were included in the literature review. Our results show that the included articles could be symmetrically classified into two groups. The first group of articles attempted to identify the leading indicators of human behavior in unstructured textual data. -
Outline of Science
Outline of science The following outline is provided as a topical overview of • Empirical method – science: • Experimental method – The steps involved in order Science – systematic effort of acquiring knowledge— to produce a reliable and logical conclusion include: through observation and experimentation coupled with logic and reasoning to find out what can be proved or 1. Asking a question about a natural phenomenon not proved—and the knowledge thus acquired. The word 2. Making observations of the phenomenon “science” comes from the Latin word “scientia” mean- 3. Forming a hypothesis – proposed explanation ing knowledge. A practitioner of science is called a for a phenomenon. For a hypothesis to be a "scientist". Modern science respects objective logical rea- scientific hypothesis, the scientific method re- soning, and follows a set of core procedures or rules in or- quires that one can test it. Scientists generally der to determine the nature and underlying natural laws of base scientific hypotheses on previous obser- the universe and everything in it. Some scientists do not vations that cannot satisfactorily be explained know of the rules themselves, but follow them through with the available scientific theories. research policies. These procedures are known as the 4. Predicting a logical consequence of the hy- scientific method. pothesis 5. Testing the hypothesis through an experiment – methodical procedure carried out with the 1 Essence of science goal of verifying, falsifying, or establishing the validity of a hypothesis. The 3 types of -
Collective Action and the Evolution of Social Norm Internalization Sergey Gavriletsa,B,C,1 and Peter J
Collective action and the evolution of social norm internalization Sergey Gavriletsa,b,c,1 and Peter J. Richersond aDepartment of Ecology and Evolutionary Biology, University of Tennessee, Knoxville, TN 37996; bDepartment of Mathematics, University of Tennessee, Knoxville, TN 37996; cNational Institute for Mathematical and Biological Synthesis, University of Tennessee, Knoxville, TN 37996; and dDepartment of Environmental Science and Policy, University of California, Davis, CA 95616 Edited by Simon A. Levin, Princeton University, Princeton, NJ, and approved May 4, 2017 (received for review March 7, 2017) Human behavior is strongly affected by culturally transmitted processing, and decision making (11) and the costs of monitor- norms and values. Certain norms are internalized (i.e., acting ing, punishments, or conditional rewards that would otherwise be according to a norm becomes an end in itself rather than merely necessary to ensure cooperation (9, 14). Internalization of norms a tool in achieving certain goals or avoiding social sanctions). allows individuals and groups to adjust their utility functions Humans’ capacity to internalize norms likely evolved in our ances- in situations with a rapidly changing environment when genetic tors to simplify solving certain challenges—including social ones. mechanisms would be too slow to react (9). A society’s values are Here we study theoretically the evolutionary origins of the capac- transmitted through the internalization of norms (15), with some ity to internalize norms. In our models, individuals can choose societies being more successful than others due to their norms to participate in collective actions as well as punish free rid- and institutions (16). The presence of both costs and benefits of ers. -
Technology and Behaviour Change, for Good and Evil
Technology and Behaviour Change, for Good and Evil Adam N. Joinson & Lukasz Piwek Behavioural Research Lab Bristol Social Marketing Centre Bristol Business School University of the West of England (UWE) DRAFT: WORKING PAPER FOR SUBMISSION TO SOCIAL TRENDS INSTITUTE MEETING ‘Communication Technologies and Lifestyles’, MAY 2013, Barcelona. Not for distribution beyond STI workshop participants without permission of authors. For latest version, email: [email protected] ! 1! Since the first basic stone and bone tools were used by Plio-Pleistocene hominids over three million years ago (McPherron et al., 2010), the ability of humans to fashion tools has not only extended our capacity to conduct tasks, but may also have had a transformative impact on our own selves. For instance, tool development may have been a key facilitator in the development of a large, energy hungry brain in humans (Gibbons, 1998). In more recent times, technologies and inventions - ranging from tally marks as a pre-cursor to numbers, the number zero, writing, the printing press, the stirrup, and the computer - have transformed not only individual human abilities through an extension of physical capabilities (McLuhan, 1964), but also society through both the intended and unintended consequences of widespread adoption and use. In the present position paper we summarise the key ways in which technology influences behaviour, and propose ways in which the same technology can be utilized in order to achieve a social good. We then look at two technologies – smart technologies for self- monitoring and social media – and discuss potential ways in which our approach to understanding the use and impact of tools can help shape their application in changing behaviour. -
The Ethics of Persuasion in Technology
The Ethics of Persuasion in Technology Nathaniel Zinda February 21, 2019 Abstract This essay is concerned with the issue of persuasion in our information and communication technologies. More specifically, it is a rebuke of the common practice in Silicon Valley of designing products with the intention of maximizing user “engagement” - in other words, the time that users spend with the product. This article’s normative contention is that this practice (i.e., persuasive technology) degrades the user’s capacity for freedom and autonomy. The argument is divided into three parts: 1) the causes, 2) the characteristics, and 3) the ethical effects of persuasive technology. Part 1 argues that Silicon Valley’s widespread adoption of the ad-based business model has produced a competitive marketplace for users’ attention, whereby companies compete to extract as much “time spent” as possible. Part 2 outlines the two primary methods by which they do this, differentiating between persuasive design (the behavioral method) and algorithmic persuasion (the technological method). Part 3 contends that these methods are responsible for producing both functional and existential distraction amongst users, both of which undermine their sense of well-being and threaten their capacity for freedom and autonomy. i Introduction It is becoming increasingly clear that the information and communication technologies that have revolution- ized society are not on our side. This cynicism is well-deserved: from the rampant abuses of user data and privacy, to the abject failure of social networking sites to keep disinformation off their platforms, to the ef- fect that these oligopolies have had on the economics of journalism and other industries, this past decade has been marked by an impressive set of failures, abuses, and consequences that have duly marred the public’s optimism and trust. -
The Ethics of Persuasion: Persuasive Technology and the Power Behind Design
The Ethics of Persuasion: Persuasive Technology and the Power Behind Design A Research Paper submitted to the Department of Engineering and Society Presented to the Faculty of the School of Engineering and Applied Science University of Virginia • Charlottesville, Virginia In Partial Fulfillment of the Requirements for the Degree Bachelor of Science, School of Engineering Danielle Newman Spring 2020 On my honor as a University Student, I have neither given nor received unauthorized aid on this assignment as defined by the Honor Guidelines for Thesis-Related Assignments Advisor Kathryn A. Neeley, Associate Professor of STS, Department of Engineering and Society Introduction Throughout the last decade, there has been a significant increase in technology usage. The development of technology and different technological systems has allowed the general public to access more information, increase task production, and engage in more opportunities. Specifically, technology has opened up new opportunities to develop new information systems for influencing users. This has led to the development of Behavior Change Support Systems (BCSS), which is “a socio-technical information system with psychological and behavioral outcomes designed to form, alter or reinforce attitudes, and behaviors or an act of complying using coercion or deception” (Kulyk, p. 2), as a key construct for research in persuasive technology. Persuasive technology is a research field that studies how people are persuaded while interacting with computer technology. Although effective in its ability to treat patients, using persuasive systems and technology can become biased and cause ethical issues, based on the developer of the system. The introduction of design biases can potentially hinder patient results because people are susceptible to decision bias, which often makes it difficult for them to make self-beneficial choices. -
Coercion and Deception in Persuasive Technologies
Coercion and deception in persuasive technologies Timotheus Kampik Juan Carlos Nieves Helena Lindgren [email protected] [email protected] [email protected] (Corresponding author) Department of Computing Science Umeå University Sweden Abstract Technologies that shape human behavior are of high societal rele- vance, both when considering their current impact and their future potential. In information systems research and in behavioral psychol- ogy, such technologies are typically referred to as persuasive tech- nologies. Traditional definitions like the ones created by Fogg, and Harjumaa and Oinas-Kukkonen, respectively, limit the scope of per- suasive technology to non-coercive, non-deceptive technologies that are explicitly designed for persuasion. In this paper we analyze ex- isting technologies that blur the line between persuasion, deception, and coercion. Based on the insights of the analysis, we lay down an updated definition of persuasive technologies that includes coercive and deceptive forms of persuasion. Our definition also accounts for persuasive functionality that was not designed by the technology de- velopers. We argue that this definition will help highlight ethical and societal challenges related to technologies that shape human behavior and encourage research that solves problems with technology-driven persuasion. Finally, we suggest multidisciplinary research that can help address the challenges our definition implies. The suggestions we provide range from empirical studies to multi-agent system the- ory. 1 Introduction In scientific literature, the term persuasive technologies appeared first in 1998 in an abstract (special interest group announcement) by the behavioral psychologist Brian J. Fogg in the proceedings of the CHI Conference on Human Factors in Computing Systems. -
Psychology Defined ᮢ
Psychology Defined ᮢ Gregg R. Henriques James Madison University A new form of knowledge technology is used to diagnose psychology’s epistemological woes and provide a solution to the difficulties. The argu- ment presented is that psychology has traditionally spanned two separate but intimately related problems: (a) the problem of animal behavior and (b) the problem of human behavior. Accordingly, the solution offered divides the field into two broad, logically consistent domains. The first domain is psychological formalism, which is defined as the science of mind, corre- sponds to animal behavior, and consists of the basic psychological sci- ences. The second domain is human psychology, which is defined as the science of human behavior at the individual level and is proposed as a hybrid that exists between psychological formalism and the social sciences. © 2004 Wiley Periodicals, Inc. J Clin Psychol 60: 1207–1221, 2004. Keywords: Tree of Knowledge (ToK) System; psychological formalism; unified theory; mental behaviorism; Justification Hypothesis We persevere in looking at small questions instead of large ones and our view of the forest is forever obscured by the trees. (Bevan, 1991, p. 475) What is psychology? Is it a single, coherent scientific discipline awaiting transfor- mation from the current preparadigmatic state into a more mature unified one? Or, is it a heterogeneous federation of subdisciplines that will ultimately fragment into a multitude of smaller, more specialized fields? This is, in essence, the “to be or not to be” question of the field. Currently, psychology exists as an uneasy compromise between unification and fragmentation. On the one hand, the existence of numerous societal institutions sug- gests that psychology is a singular entity at some level. -
Persuasive Technology: Development and Implementation of Personalized Technologies to Change Attitudes and Behaviours
View metadata, citation and similar papers at core.ac.uk brought to you by CORE provided by Hanze UAS repository Peter W. de Vries, Thomas Van Rompay (Eds.) Persuasive Technology: Development and implementation of personalized technologies to change attitudes and behaviours 12th International Conference, PERSUASIVE 2017, Amsterdam, The Netherlands, April 4-6, 2017 Adjunct Proceedings Second edition: April 2017 12th International Conference on Persuasive Technology, PERSUASIVE 2017, Amsterdam, The Netherlands, April 4-6, 2017, Adjunct Proceedings Edited by Peter W. de Vries and Thomas van Rompay © Copyright of the complete adjunct proceedings is held by the Centre for eHealth & Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, The Netherlands. Copyright of individual contributions is held by the author(s). Contact: Centre for eHealth & Wellbeing Research, Department of Psychology, Health and Technology, University of Twente, The Netherlands PO Box 217, 7500 AE, Enschede, The Netherlands https://www.utwente.nl/igs/ehealth/ Preface Persuasive Technology (PT) is an emerging, interdisciplinary research field, focusing on the design, development and evaluation of technologies aimed at creating awareness and inducing behavior change with the ultimate goal to increase wellbeing and quality of life. Academic researchers, designers, and practitioners from the social sciences and technological disciplines, as well as from the fields of health, healthcare, safety, sustainability, and ICT have developed this field in the preceding years, giving rise to a community which aims to ‘persuade’ people into adopting healthier lifestyles, behave more safely, and reduce consumption of renewable resources, to name a few examples. The ‘technology’ component in PT reflects usage of, amongst others, big data analytics, sensor technology for monitoring, personalized feedback and coaching, mHealth, data visualization techniques, serious gaming, and social media.