scholarly journals The Effect of Social Context on the Mind Perception of Robots

2019 ◽  
Vol 63 (1) ◽  
pp. 230-234
Author(s):  
Rebecca Butler ◽  
Zoe Pruitt ◽  
Eva Wiese
Keyword(s):  
Social Context ◽  
Social Environment ◽  
Human Robot Interaction ◽  
Mind Perception ◽  
The Social ◽  
Significant Difference ◽  
Negative Effect ◽  
Perception Of Robots ◽  
The Mind ◽  
The Impact

As social robots are increasingly introduced into our everyday lives, an emphasis on improving the human-robot interaction (HRI), particularly through increased mind perception, is necessary. Substantial research has been conducted that demonstrates how manipulations to a robot’s physical appearance or behavior increases mind perception, yet little has been done to examine the effects of the social environment. This study aims to identify the impact of social context on mind perception by comparing mind perception ratings assigned to robots viewed in a human context with those assigned to robots viewed in a robot context. Participants were assigned to one of the two contexts in which they viewed images of 5 control robots with either 15 humans or 15 robots and answered questions that measured the degree to which they ascribed mind to the agents. A t-test comparing the overall average mind ratings of the control robots between contexts showed a significant difference between the two, with the robots in the robot context having a higher average rating than those in the human context. This result demonstrates a need to consider the social context in which the HRI will take place when designing for the best interaction. Considering that most robots in the foreseeable future will be viewed in a human context, this result also calls for additional research on ways to further increase mind perception to combat the negative effect of the most likely social environment.

Individuality and habits in institutional economics

2019 ◽  
Vol 15 (5) ◽  
pp. 791-809
Author(s):  
Heath Spong
Keyword(s):  
Social Context ◽  
Social Environment ◽  
Institutional Economics ◽  
Individual Development ◽  
Self Concept ◽  
Structure Framework ◽  
The Social ◽  
The Impact ◽  
Over Time

AbstractIn this paper a sophisticated conception of individuality is developed that extends beyond simple heterogeneity and is consistent with the approach of institutional economics. Studies of human biological and psychological development are used to illustrate the foundations of human individuality and the impact of the social environment on individual development. The link between the social environment and ongoing agential properties is established through the role of habits, which provide some continuity to individual personalities over time and assist them in navigating the social context they inhabit. Reflexivity is established via an agency-structure framework that endows individuals a changeable self-concept and an ability to interpret their relationship to the social context. The coordination of different individuals is explained not simply through reference to institutional structure, but also through the agent-level properties of shared habits. While reducing differences between individuals to one of degrees, shared habits are shown to be particularly important in the context of agent-sensitive institutions. Finally, the potential for different institutional experiences to impact the reflexivity of individuals is explored.

scholarly journals Social Environment and Healthy Investment Behavior: Joint Influence of Culture and Institution on China

2022 ◽  
Vol 19 (1) ◽  
pp. 607
Author(s):  
Dongao Li ◽  
Songdong Shen
Keyword(s):  
Social Environment ◽  
Direct Investment ◽  
Cultural Distance ◽  
Institutional Distance ◽  
Investment Behavior ◽  
Joint Influence ◽  
The Social ◽  
Negative Effect ◽  
Using Data ◽  
The Impact

The influence of the social environment on healthy investment behavior is a vital research topic. This paper focuses on foreign direct investment (FDI) as an important part of its broad impact in improving the level of capital circulation and diversifying the non-systemic risk of a single country portfolio. Using data from 35 countries on direct investment in China, we find that the impact of the social environment on healthy investment behavior is mainly reflected in investors’ resistance to cultural distance and their benefit compensation across institutional distance. In addition, their joint influence is still negative, dominated by cultural distance, which can still verify that institutional distance mitigates the negative effect of cultural distance on FDI. Therefore, in order to promote international healthy investment behavior, it is feasible to improve both the mitigation effect of the institution in the short term and promote the level of cultural exchange in the long term, according to the research results of this paper.

A chronology of Distributed Adaptive Control

2018 ◽  
Author(s):  
Paul F. M. J. Verschure
Keyword(s):  
Adaptive Control ◽  
Human Robot Interaction ◽  
Integration Framework ◽  
The Social ◽  
Distributed Adaptive Control ◽  
Core Components ◽  
Mind And Brain ◽  
Convergent Validation ◽  
The Mind ◽  
And Behavior

This chapter presents the Distributed Adaptive Control (DAC) theory of the mind and brain of living machines. DAC provides an explanatory framework for biological brains and an integration framework for synthetic ones. DAC builds on several themes presented in the handbook: it integrates different perspectives on mind and brain, exemplifies the synthetic method in understanding living machines, answers well-defined constraints faced by living machines, and provides a route for the convergent validation of anatomy, physiology, and behavior in our explanation of biological living machines. DAC addresses the fundamental question of how a living machine can obtain, retain, and express valid knowledge of its world. We look at the core components of DAC, specific benchmarks derived from the engagement with the physical and the social world (the H4W and the H5W problems) in foraging and human–robot interaction tasks. Lastly we address how DAC targets the UTEM benchmark and the relation with contemporary developments in AI.

scholarly journals A Survey of Marine Coastal Litters around Zhoushan Island, China and Their Impacts

2021 ◽  
Vol 9 (2) ◽  
pp. 183
Author(s):  
Xuehua Ma ◽  
Yi Zhou ◽  
Luyi Yang ◽  
Jianfeng Tong
Keyword(s):  
Rapid Development ◽  
Univariate Analysis ◽  
Local Environment ◽  
Marine Litter ◽  
Social Ecological ◽  
The Social ◽  
Significant Difference ◽  
Valuable Method ◽  
Beach Litter ◽  
The Impact

Rapid development of the economy increased marine litter around Zhoushan Island. Social-ecological scenario studies can help to develop strategies to adapt to such change. To investigate the present situation of marine litter pollution, a stratified random sampling (StRS) method was applied to survey the distribution of marine coastal litters around Zhoushan Island. A univariate analysis of variance was conducted to access the amount of litter in different landforms that include mudflats, artificial and rocky beaches. In addition, two questionnaires were designed for local fishermen and tourists to provide social scenarios. The results showed that the distribution of litter in different landforms was significantly different, while the distribution of litter in different sampling points had no significant difference. The StRS survey showed to be a valuable method for giving a relative overview of beach litter around Zhoushan Island with less effort in a future survey. The questionnaire feedbacks helped to understand the source of marine litter and showed the impact on the local environment and economy. Based on the social-ecological scenarios, governance recommendations were provided in this paper.

scholarly journals Individual behavioural traits not social context affects learning about novel objects in archerfish

2021 ◽  
Vol 75 (3) ◽  
Author(s):  
Nick A. R. Jones ◽  
Helen C. Spence-Jones ◽  
Mike Webster ◽  
Luke Rendell
Keyword(s):  
Social Context ◽  
Social Environment ◽  
Social Contexts ◽  
Negative Effects ◽  
Behavioural Phenotype ◽  
Social Species ◽  
The Social ◽  
Social Animals ◽  
Novel Objects ◽  
The Individual

Abstract Learning can enable rapid behavioural responses to changing conditions but can depend on the social context and behavioural phenotype of the individual. Learning rates have been linked to consistent individual differences in behavioural traits, especially in situations which require engaging with novelty, but the social environment can also play an important role. The presence of others can modulate the effects of individual behavioural traits and afford access to social information that can reduce the need for ‘risky’ asocial learning. Most studies of social effects on learning are focused on more social species; however, such factors can be important even for less-social animals, including non-grouping or facultatively social species which may still derive benefit from social conditions. Using archerfish, Toxotes chatareus, which exhibit high levels of intra-specific competition and do not show a strong preference for grouping, we explored the effect of social contexts on learning. Individually housed fish were assayed in an ‘open-field’ test and then trained to criterion in a task where fish learnt to shoot a novel cue for a food reward—with a conspecific neighbour visible either during training, outside of training or never (full, partial or no visible presence). Time to learn to shoot the novel cue differed across individuals but not across social context. This suggests that social context does not have a strong effect on learning in this non-obligatory social species; instead, it further highlights the importance that inter-individual variation in behavioural traits can have on learning. Significance statement Some individuals learn faster than others. Many factors can affect an animal’s learning rate—for example, its behavioural phenotype may make it more or less likely to engage with novel objects. The social environment can play a big role too—affecting learning directly and modifying the effects of an individual’s traits. Effects of social context on learning mostly come from highly social species, but recent research has focused on less-social animals. Archerfish display high intra-specific competition, and our study suggests that social context has no strong effect on their learning to shoot novel objects for rewards. Our results may have some relevance for social enrichment and welfare of this increasingly studied species, suggesting there are no negative effects of short- to medium-term isolation of this species—at least with regards to behavioural performance and learning tasks.

scholarly journals Deep-Down Time: Political Tradition in Central Africa

1989 ◽  
Vol 16 ◽  
pp. 341-362 ◽  
Author(s):  
Jan Vansina
Keyword(s):  
Political Ideology ◽  
Regional Scale ◽  
Central Africa ◽  
Common View ◽  
Historical Processes ◽  
The Social ◽  
The Common ◽  
Political Communities ◽  
The Mind ◽  
The Impact

Around 1850 the peoples of central Africa from Duala to the Kunene River and from the Atlantic to the Great Lakes shared a common view of the universe and a common political ideology. This included assumptions about roles, statuses, symbols, values, and indeed the very notion of legitimate authority. Among the plethora of symbols connected with these views were the leopard or the lion, the sun, the anvil, and the drum, symbolizing respectively the leader as predator, protector, forger of society, and the voice of all. Obviously, in each case the common political ideology was expressed in slightly different views, reflecting the impact of differential historical processes on different peoples. But the common core persisted. The gigantic extent of this phenomenon, encompassing an area equal to two-thirds of the continental United States, baffles the mind. How did it come about? Such a common tradition certainly did not arise independently in each of the hundreds of political communities that existed then. However absorbent and stable this mental political constellation was, it must have taken shape over a profound time depth. How and as a result of what did this happen? Is it even possible to answer such queries in a part of the world that did not generate written records until a few centuries ago or less?This paper addresses this question: how can one trace the social construction of such a common constellation over great time depths and over great regional scale? All the peoples involved are agriculturalists and the political repertory with which we are concerned could not easily exist in its known form outside sedentary societies.

scholarly journals Social origin and educational attainment in China: a historical analysis of 70 birth cohorts

2020 ◽  
Vol 7 (1) ◽  
Author(s):  
Changchun Fang ◽  
Xiaotian Feng
Keyword(s):  
Social Context ◽  
Educational Attainment ◽  
Educational Inequality ◽  
Historical Analysis ◽  
Chinese Society ◽  
Structural Factors ◽  
Social Origin ◽  
Birth Cohorts ◽  
The Social ◽  
The Impact

Abstract The impact of social origin on educational attainment is conditioned on the social context in which people live. In recent decades, with changes in the Chinese society, how has the impact of social origin on educational inequality changed? Based on an analysis of 70 birth cohorts, this study details the effect of social origin on educational inequality and its trends over the past 70 years. The results of this study also indicate that the historical stages hypothesis (HSH) and model-shift hypothesis (MSH) emphasized in previous studies cannot fully describe the historical changes in educational inequality. In addition to macrosocial processes, there may exist other structural factors that also affect educational inequality but are neglected. The social context and its transformation, which shaped the relationship between social origin and educational inequality, need to be examined in more detail.

scholarly journals Dynamic Integrated Model for Assessing Fisheries: Discard Bans as an Implicit Value-Added Tax

2021 ◽  
Author(s):  
Jose Maria Da Rocha ◽  
Javier García-Cutrín ◽  
Maria-Jose Gutiérrez ◽  
Raul Prellezo ◽  
Eduardo Sanchez
Keyword(s):  
Value Added ◽  
Point Of View ◽  
Value Added Tax ◽  
Biological Variables ◽  
A Value ◽  
Long Run ◽  
The Social ◽  
Negative Effect ◽  
Short Run ◽  
The Impact

AbstractIntegrated economic models have become popular for assessing climate change. In this paper we show how these methods can be used to assess the impact of a discard ban in a fishery. We state that a discard ban can be understood as a confiscatory tax equivalent to a value-added tax. Under this framework, we show that a discard ban improves the sustainability of the fishery in the short run and increases economic welfare in the long run. In particular, we show that consumption, capital and wages show an initial decrease just after the implementation of the discard ban then recover after some periods to reach their steady-sate values, which are 16–20% higher than the initial values, depending on the valuation of the landed discards. The discard ban also improves biological variables, increasing landings by 14% and reducing discards by 29% on the initial figures. These patterns highlight the two channels through which discard bans affect a fishery: the tax channel, which shows that the confiscation of landed discards reduces the incentive to invest in the fishery; and the productivity channel, which increases the abundance of the stock. Thus, during the first few years after the implementation of a discard ban, the negative effect from the tax channel dominates the positive effect from the productivity channel, because the stock needs time to recover. Once stock abundance improves, the productivity channel dominates the tax channel and the economic variables rise above their initial levels. Our results also show that a landed discards valorisation policy is optimal from the social welfare point of view provided that incentives to increase discards are not created.

scholarly journals THE IMPACT OF ECONOMIC EXPECTATION, SOCIAL CAPITAL AND HOPE ON MIGRATION REQUEST AND ACTION

2021 ◽  
pp. 47-58
Author(s):  
Şerafettin KELEŞ
Keyword(s):  
Social Capital ◽  
Structural Equation ◽  
Empirical Method ◽  
Economic Thought ◽  
Equation Modeling ◽  
Migration Decision ◽  
Factors Affecting ◽  
The Social ◽  
Negative Effect ◽  
The Impact

In this study, the factors affecting the request and action of migration are examined with empirical method within the scope of neoclassical economic theories and behavioral economic thought. A survey of a selected sample was analyzed with structural equation modeling. There was a linear relationship between migration and economic expectation, social capital and hope. It was found that the Economic Expectation Variable had a very strong negative effect on individuals' decision to immigrate and desire to migrate (γ = -0.99; t = -17.87). Hope variable has a very strong negative effect on individuals' migration decision and desire to migrate (γ = -0.96; t = -13.66). The Social Capital Secret Variable has a negatively moderate effect on individuals' decision to immigrate and desire to migrate (γ = -0.48; t = -8.19). It was seen that economic and political conjuncture was effective in the decision of migration of individuals.

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