1,985 research outputs found

    Relaxation under outflow dynamics with random sequential updating

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    In this paper we compare the relaxation in several versions of the Sznajd model (SM) with random sequential updating on the chain and square lattice. We start by reviewing briefly all proposed one dimensional versions of SM. Next, we compare the results obtained from Monte Carlo simulations with the mean field results obtained by Slanina and Lavicka . Finally, we investigate the relaxation on the square lattice and compare two generalizations of SM, one suggested by Stauffer and another by Galam. We show that there are no qualitative differences between these two approaches, although the relaxation within the Galam rule is faster than within the well known Stauffer rule.Comment: 9 figure

    Pair research: Matching people for collaboration, learning, and productivity

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    To increase productivity, informal learning, and collaborations within and across research groups, we have been experimenting with a new kind of interaction that we call {em pair research}, in which members are paired up weekly to work together on each other's projects. In this paper, we present a system for making pairings and present results from two deployments. Results show that members used pair research in a wide variety of ways including pair programming, user testing, brainstorming, and data collection and analysis. Pair research helped members get things done and share their expertise with others.National Science Foundation (U.S.) (SOCS-1111124)National Science Foundation (U.S.) (IIS-1217225

    Actual persuasiveness : Impact of personality, age and gender on message type susceptibility

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    The authors would like to acknowledge and thank all the volunteers who participated in the experiment and provided helpful comments. The first author is funded by an EPSRC doctoral training grant.Postprin

    Psychological Safety and Norm Clarity in Software Engineering Teams

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    In the software engineering industry today, companies primarily conduct their work in teams. To increase organizational productivity, it is thus crucial to know the factors that affect team effectiveness. Two team-related concepts that have gained prominence lately are psychological safety and team norms. Still, few studies exist that explore these in a software engineering context. Therefore, with the aim of extending the knowledge of these concepts, we examined if psychological safety and team norm clarity associate positively with software developers' self-assessed team performance and job satisfaction, two important elements of effectiveness. We collected industry survey data from practitioners (N = 217) in 38 development teams working for five different organizations. The result of multiple linear regression analyses indicates that both psychological safety and team norm clarity predict team members' self-assessed performance and job satisfaction. The findings also suggest that clarity of norms is a stronger (30\% and 71\% stronger, respectively) predictor than psychological safety. This research highlights the need to examine, in more detail, the relationship between social norms and software development. The findings of this study could serve as an empirical baseline for such, future work.Comment: Submitted to CHASE'201

    Buildings behaving badly:A behavioral experiment on how different motivational frames influence residential energy label adoption in the Netherlands

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    Heating buildings contributes to approximately 36% of Europe’s energy demand and several EU member states have adopted mandatory energy labels to improve energy efficiency by promoting home weatherization investments. This paper focuses on the perception of the energy label for residential buildings in the Netherlands and the role of different frames (egoistic, biospheric and social norms and neutral frames) in motivating adoption of energy labels for housing. We used a behavioral email experiment and an online survey to investigate these motivational factors. We find that biospheric frames are weaker than the other three motivational frames in terms of engaging interest in the energy label, but that the biospheric frame results in higher willingness to pay (WTP) for the energy label. We also find that age (rather than income) correlates with higher willingness to pay for home energy labels

    Do as we say and as we do: The interplay of descriptive and injunctive group norms in the attitude-behaviour relationship

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    This is the author's post-print version of an article whose final and definitive form has been published in the British Journal of Social Psychology. Reproduced with permission from the British Journal of Social Psychology © The British Psychological Society 2008. The definitve version is available at: http://www.bpsjournals.co.uk/journals/bjsp/Past research on the social identity approach to attitude-behaviour relations has operationalized group norms as a mixture of both descriptive information (i.e. what most people do themselves) and injunctive information (i.e. what most people approve of). Two experiments (Study 1=185 participants; Study 2=238 participants) were conducted to tease apart the relative effects of descriptive and injunctive group norms. In both studies, university students' attitudes towards current campus issues were obtained, the descriptive and injunctive group norms were manipulated, and participants' post-manipulation attitudes, behavioural willingness, and behaviour were assessed. Study 2 also examined the role of norm source (i.e. in-group vs. out-group injunctive and descriptive norms). In both studies, the injunctive and descriptive in-group norms interacted significantly to influence attitudes, behavioural willingness, and behaviour. Study 2 revealed that out-group norms were largely ineffective. The research illustrates that in-groups interactively influence decisions, not only by what they say, but also by what they do, and asserts the value of considering the interaction of descriptive and injunctive norms in accounts of normative influence

    Whom to Punish? How observers sanction norm-violating behavior in ostracism situations

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    When observing ostracism, individuals can either side with the target or the sources of ostracism. Here we demonstrate that side-taking depends on whether the target previously acted in adherence to or in violation of perceived social norms. In four studies, a target behaved either norm-consistently or violated a social norm, and was subsequently either excluded by the sources or was not. Next, participants could sanction the behavior of the observed persons by refraining to assign money (Studies 1 and 2), or by subtracting money from a bonus (Studies 3 and 4). Observers assigned less money to the sources when these excluded a norm-consistent target. However, when the target had violated a social norm before, participants assigned less money to the target instead. These results have far-reaching implications because the (in)actions of neutral individuals can legitimize the sources' behavior, or help a target under attack

    The Influence of Early Respondents: Information Cascade Effects in Online Event Scheduling

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    Sequential group decision-making processes, such as online event scheduling, can be subject to social influence if the decisions involve individuals’ subjective preferences and values. Indeed, prior work has shown that scheduling polls that allow respondents to see others’ answers are more likely to succeed than polls that hide other responses, suggesting the impact of social influence and coordination. In this paper, we investigate whether this difference is due to information cascade effects in which later respondents adopt the decisions of earlier respondents. Analyzing more than 1.3 million Doodle polls, we found evidence that cascading effects take place during event scheduling, and in particular, that early respondents have a larger influence on the outcome of a poll than people who come late. Drawing on simulations of an event scheduling model, we compare possible interventions to mitigate this bias and show that we can optimize the success of polls by hiding the responses of a small percentage of low availability respondents.Peer Reviewedhttp://deepblue.lib.umich.edu/bitstream/2027.42/134703/1/Romero et al 2017 (WSDM).pd
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