scholarly journals Putting human behavior predictability in context

2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Wanyi Zhang ◽  
Qiang Shen ◽  
Stefano Teso ◽  
Bruno Lepri ◽  
Andrea Passerini ◽  
...  
Keyword(s):  
Human Behavior ◽  
Computational Models ◽  
Social Ties ◽  
The Other ◽  
Mobility Patterns ◽  
Time Activity ◽  
Substantial Impact ◽  
Context Aware Computing ◽  
Recognition Experiment ◽  
Personal Behavior

AbstractVarious studies have investigated the predictability of different aspects of human behavior such as mobility patterns, social interactions, and shopping and online behaviors. However, the existing researches have been often limited to a single or to the combination of few behavioral dimensions, and they have adopted the perspective of an outside observer who is unaware of the motivations behind the specific behaviors or activities of a given individual. The key assumption of this work is that human behavior is deliberated based on an individual’s own perception of the situation that s/he is in, and that therefore it should also be studied under the same perspective. Taking inspiration from works in ubiquitous and context-aware computing, we investigate the role played by four contextual dimensions (or modalities), namely time, location, activity being carried out, and social ties, on the predictability of individuals’ behaviors, using a month of collected mobile phone sensor readings and self-reported annotations about these contextual modalities from more than two hundred study participants. Our analysis shows that any target modality (e.g. location) becomes substantially more predictable when information about the other modalities (time, activity, social ties) is made available. Multi-modality turns out to be in some sense fundamental, as some values (e.g. specific activities like “shopping”) are nearly impossible to guess correctly unless the other modalities are known. Subjectivity also has a substantial impact on predictability. A location recognition experiment suggests that subjective location annotations convey more information about activity and social ties than objective information derived from GPS measurements. We conclude the paper by analyzing how the identified contextual modalities allow to compute the diversity of personal behavior, where we show that individuals are more easily identified by rarer, rather than frequent, context annotations. These results offer support in favor of developing innovative computational models of human behaviors enriched by a characterization of the context of a given behavior.

scholarly journals A computational reward learning account of social media engagement

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Björn Lindström ◽  
Martin Bellander ◽  
David T. Schultner ◽  
Allen Chang ◽  
Philippe N. Tobler ◽  
...  
Keyword(s):  
Social Media ◽  
Human Behavior ◽  
Computational Models ◽  
Average Rate ◽  
Human Life ◽  
Modern Human ◽  
Reward Learning ◽  
Learning Mechanisms ◽  
Social Media Engagement ◽  
Social Rewards

AbstractSocial media has become a modern arena for human life, with billions of daily users worldwide. The intense popularity of social media is often attributed to a psychological need for social rewards (likes), portraying the online world as a Skinner Box for the modern human. Yet despite such portrayals, empirical evidence for social media engagement as reward-based behavior remains scant. Here, we apply a computational approach to directly test whether reward learning mechanisms contribute to social media behavior. We analyze over one million posts from over 4000 individuals on multiple social media platforms, using computational models based on reinforcement learning theory. Our results consistently show that human behavior on social media conforms qualitatively and quantitatively to the principles of reward learning. Specifically, social media users spaced their posts to maximize the average rate of accrued social rewards, in a manner subject to both the effort cost of posting and the opportunity cost of inaction. Results further reveal meaningful individual difference profiles in social reward learning on social media. Finally, an online experiment (n = 176), mimicking key aspects of social media, verifies that social rewards causally influence behavior as posited by our computational account. Together, these findings support a reward learning account of social media engagement and offer new insights into this emergent mode of modern human behavior.

scholarly journals A novel geo-hierarchical population mobility model for spatial spreading of resurgent epidemics

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Alexandru Topîrceanu ◽  
Radu-Emil Precup
Keyword(s):  
Computational Models ◽  
Human Mobility ◽  
Discrete Event ◽  
Mobility Model ◽  
Hierarchical Organization ◽  
Population Mobility ◽  
Mobility Patterns ◽  
Fine Grained ◽  
Epidemic Size ◽  
Control Of Epidemics

AbstractComputational models for large, resurgent epidemics are recognized as a crucial tool for predicting the spread of infectious diseases. It is widely agreed, that such models can be augmented with realistic multiscale population models and by incorporating human mobility patterns. Nevertheless, a large proportion of recent studies, aimed at better understanding global epidemics, like influenza, measles, H1N1, SARS, and COVID-19, underestimate the role of heterogeneous mixing in populations, characterized by strong social structures and geography. Motivated by the reduced tractability of studies employing homogeneous mixing, which make conclusions hard to deduce, we propose a new, very fine-grained model incorporating the spatial distribution of population into geographical settlements, with a hierarchical organization down to the level of households (inside which we assume homogeneous mixing). In addition, population is organized heterogeneously outside households, and we model the movement of individuals using travel distance and frequency parameters for inter- and intra-settlement movement. Discrete event simulation, employing an adapted SIR model with relapse, reproduces important qualitative characteristics of real epidemics, like high variation in size and temporal heterogeneity (e.g., waves), that are challenging to reproduce and to quantify with existing measures. Our results pinpoint an important aspect, that epidemic size is more sensitive to the increase in distance of travel, rather that the frequency of travel. Finally, we discuss implications for the control of epidemics by integrating human mobility restrictions, as well as progressive vaccination of individuals.

Alcohol, Alcoholism, and Crime

1963 ◽  
Vol 9 (1) ◽  
pp. 1-14 ◽  
Author(s):  
Selden D. Bacon
Keyword(s):  
Human Behavior ◽  
The Other ◽  
General Knowledge ◽  
Social Custom ◽  
The Government ◽  
The Impact

This article is concerned with the overlapping of two phe nomena, each of which can occur independently of the other. The first is deviation from the specific social custom of drinking. The second, crime, refers to a class of deviations from many different customs of a society—deviations possessing one unique attribute in common, that of eliciting purposeful, negative sanc tions by the government. General knowledge about deviation from custom and about the impact of alcohol upon human behavior must be combined with an understanding of each of these two categories of deviance in order to assess the overlap.

Towards a Lexically Oriented Automatic Parsing

1991 ◽  
Vol 15 (1) ◽  
pp. 1-40
Author(s):  
Lucio Costa
Keyword(s):  
Artificial Intelligence ◽  
Distributed Control ◽  
Data Structures ◽  
General Framework ◽  
Computational Models ◽  
The Other ◽  
Sono Stati ◽  
Use Context ◽  
And Linguistics ◽  
Context Free

RIASSUNTO La ricerca sul linguaggio naturale condotta in Intelligenza Artificiale si è sviluppata, malgrado le apparenze, in modo alquanto indipendente dal la-voro dei linguisti. Da un lato sono stati elaborati modelli computazionali delle facoltà di lunguaggio che si configurano come largamente autonomi rispetto a quelli sviluppati in linguistica. D'altro lato, l'implementazione dei sistemi è stata influenzata da soluzioni pragmatiche connesse all'efficacia computazionale delle regole indipendenti dal contesto, alla necessità di evitare componenti trasformazionali inversi e ad una concezione rappresenta-zionale del significato. Il presente articolo propone l'interesse dei lavori lin-guistici di Z. S. Harris e M. Gross ai fini dello sviluppo di un'analisi sintat-tica automatica che sia a controllo diffuso e incentrata sul comportamento idiosincratico delle unità lessicali. Essa è anche inquadrata nel tentativo di gettare luce sulla natura del processo denotazionale. SUMMARY In spite of the claim on the interactions between artificial intelligence (AI) and linguistics, AI research on natural language has developed independently from the work of linguists. On one hand, computational models of the faculties of language which are independent from the models developed in linguistics have been worked out. On the other hand, the AI system design has been oriented towards practical solutions, whose main motivations where to use context-free rules, to avoid an inverse transformational component, and to represent meanings by some data structures. This paper is about the linguistic works of Z.S. Harris and M. Gross to develop automatic distributed control parsing which takes seriously into account the indiosyncratic behaviour of the lexical items. The general framework for the discussion is the procedural nature of the denotational process.

Effects of Packing and Aspect Ratio on Mixing and Heterogeneous Catalysis in Microchannels

2007 ◽  
Author(s):  
Robert T. Bailey ◽  
Stephen Ryan ◽  
Frank Jones ◽  
Stephanie Wilson ◽  
James Hiestand
Keyword(s):  
Heterogeneous Catalysis ◽  
Aspect Ratio ◽  
Computational Models ◽  
Chemical Conversion ◽  
Reynolds Numbers ◽  
Mixing Efficiency ◽  
Substantial Impact ◽  
Channel One ◽  
Aqueous Streams ◽  
Channel Aspect Ratio

Many industrial chemical processes involve the mixing of two or more liquids. By reducing chemical reactors to microscale dimensions, engineers seek to take advantage of decreased diffusion lengths, leading to increased effectiveness (e.g., higher purity of product) over larger process components. In this study, computational models developed using the commercial multiphysics code CFD-ACE+ are used to predict flow within microreactor channels. Two aqueous streams enter a channel—one containing a contaminant and the other devoid of the contaminant. Changes in two geometric attributes are investigated with respect to their effect on mixing of the streams: 1) packing feature layout within the channel and 2) channel aspect ratio. Reynolds numbers (Re) for the simulations range between 0.1 and 100. Results indicate that both packing feature position within the channel and channel aspect ratio can have a substantial impact on mixing. Between Re = 0.1 and Re = 1, mixing efficiency generally decreases with increasing Re; however, as the Re is increased from 1 to 100, fluid flow patterns in the channel are altered, and wake regions and streamline changes created by the packing features lead to improved mixing. Examples showing enhanced chemical conversion during heterogeneous catalysis as a result of better mixing are also presented.

On the Production of Religious Configurations

2010 ◽  
Vol 22 (4) ◽  
pp. 239-253 ◽  
Author(s):  
Gustavo Benavides
Keyword(s):  
Language Development ◽  
Human Behavior ◽  
Sexual Differentiation ◽  
Social Evolution ◽  
Social Processes ◽  
Hominid Evolution ◽  
The Other

AbstractResearch on the emergence of the configuration known as “religion” requires tracing the articulation among biological, psychological and social processes. This research must take into account evolutionary approaches; first, in terms of hominid evolution, for it is only by taking into consideration work on symbolization, language development, the capacity to engage in metacognition and cooperation, the tendency to form hierarchies, engage in violence, sexual differentiation, and related topics, that one can hope to trace the emergence of certain relatively stable features of human behavior. But since symbolization and the other capacities mentioned above are exercised in specific social circumstances—which themselves could not have come into existence were it not for the exercise of those capacities—it is essential to consider social evolution, especially insofar as this evolution leads to the appearance of stratified societies and to the kind of labor that prevails in them.

Yiddish as an Expression of Jewish Cultural Identity in Galicia and Vienna

1999 ◽  
pp. 164-176
Author(s):  
Gabriele Kohlbauer-Fritz
Keyword(s):  
The Other ◽  
The Political ◽  
Self Awareness ◽  
Habsburg Empire ◽  
Substantial Impact ◽  
Language And Culture ◽  
Long Period ◽  
History Of ◽  
Austrian Capital ◽  
Cultural Movement

This chapter illustrates the backwardness of Yiddish in the easternmost province of the Habsburg Empire. In Galicia, Yiddish language and culture developed quite differently and at a much slower pace than in the other parts of Poland and Russia. At a time when the works of Isaac Leib Peretz, Mendele Mokher Seforim, and Sholem Aleichem were flourishing elsewhere, Yiddish culture in Galicia was still underdeveloped, emerging only fleetingly at the beginning of the twentieth century, inspired by the political and social movements that encouraged Jewish national self-awareness. No doubt one reason for this long period of dormancy was the particular historical situation that resulted from the policies of the Habsburg regime. Thus, a history of the Yiddish-language movement in Galicia and the Austrian capital, Vienna, must also be an account of its failure. The chapter shows that it was precisely in Galicia that a thriving cultural symbiosis emerged among the coexisting national groups, and this symbiosis had a substantial impact on the Yiddish cultural movement. Yet competition from the Polish and German languages ultimately ousted Yiddish almost completely.

scholarly journals Electroacoustic assessment of wireless remote microphone systems

2018 ◽  
Vol 8 (1) ◽  
Author(s):  
Haniyeh Salehi ◽  
Vijay Parsa ◽  
Paula Folkeard
Keyword(s):  
Acoustic Signal ◽  
Background Noise ◽  
Speech Intelligibility ◽  
Computational Models ◽  
Hearing Aid ◽  
The Other ◽  
Clinical Implications ◽  
Significant Interest ◽  
Acoustic Environments ◽  
Acoustic Conditions

Wireless remote microphones (RMs) transmit the desired acoustic signal to the hearing aid (HA) and facilitate enhanced listening in challenging environments. Fitting and verification of RMs, and benchmarking the relative performance of different RM devices in varied acoustic environments are of significant interest to Audiologists and RM developers. This paper investigates the application of instrumental speech intelligibility and quality metrics for characterizing the RM performance in two acoustic environments with varying amounts of background noise and reverberation. In both environments, two head and torso simulators (HATS) were placed 2 m apart, where one HATS served as the talker and the other served as the listener. Four RM systems were interfaced separately with a HA programmed to match the prescriptive targets for the N4 standard audiogram and placed on the listener HATS. The HA output in varied acoustic conditions was recorded and analyzed offline through computational models predicting speech intelligibility and quality. Results showed performance differences among the four RMs in the presence of noise and/or reverberation, with one RM exhibiting significantly better performance. Clinical implications and applications of these results are discussed.

scholarly journals Autonomy and the Ownership of Our Own Destiny: Tracking the External World and Human Behavior, and the Paradox of Autonomy

Philosophies ◽  
2020 ◽  
Vol 5 (3) ◽  
pp. 12
Author(s):  
Lorenzo Magnani
Keyword(s):  
Human Behavior ◽  
Cognitive Processes ◽  
Human Dignity ◽  
Common Knowledge ◽  
External World ◽  
The Other ◽  
Moral Autonomy ◽  
The Political ◽  
Human Autonomy

Research on autonomy exhibits a constellation of variegated perspectives, from the problem of the crude deprivation of it to the study of the distinction between personal and moral autonomy, and from the problem of the role of a “self as narrator”, who classifies its own actions as autonomous or not, to the importance of the political side and, finally, to the need of defending and enhancing human autonomy. My precise concern in this article will be the examination of the role of the human cognitive processes that give rise to the most important ways of tracking the external world and human behavior in their relationship to some central aspects of human autonomy, also to the aim of clarifying the link between autonomy and the ownership of our own destinies. I will also focus on the preservation of human autonomy as an important component of human dignity, seeing it as strictly associated with knowledge and, even more significantly, with the constant production of new and pertinent knowledge of various kinds. I will also describe the important paradox of autonomy, which resorts to the fact that, on one side, cognitions (from science to morality, from common knowledge to philosophy, etc.) are necessary to be able to perform autonomous actions and decisions because we need believe in rules that justify and identify our choices, but, on the other side, these same rules can become (for example, as a result of contrasting with other internalized and approved moral rules or knowledge contents) oppressive norms that diminish autonomy and can thus, paradoxically, defeat agents’ autonomous capacity “to take ownership”.

Cognitive Issues in Bible Translation: The Biblical Text in the Context of Human Experience

2020 ◽  
Vol 71 (1) ◽  
pp. 38-56
Author(s):  
R. Daniel Shaw ◽  
Danny DeLoach ◽  
Jonathan Grimes ◽  
John O. Luchivia ◽  
Sheryl Silzer ◽  
...  
Keyword(s):  
Human Behavior ◽  
Cognitive Processes ◽  
The Other ◽  
Human Cognition ◽  
Biblical Text ◽  
Interactive Environments ◽  
Bible Translation ◽  
Cognitive Studies ◽  
The Mind ◽  
The Relationship

Cognitive studies affect all disciplines that reflect the connection between the mind–brain and human behavior. To state the obvious, Bible translation is a multidisciplinary task influenced by cognitive processes. What, then, do Bible translators need to know about the intended communication of a biblical text on one hand and a people’s context-based inferences on the other? Can these disparate, but necessarily interactive, environments blend to reflect a totality of knowledge from the content of the biblical text? Together, the coauthors explore a variety of cognitive processes that reflect on the relationship between translation and human behavior. Our objective is to show how translated biblical text interfaces with human cognition to affect behavior in specific contexts.

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