The impact of owner age on companionship with virtual pets

This paper focuses on issues of interaction with a particular type of mobile information system – virtual pets. It examines the impact of owner age on companionship with virtual pets, and tests the hypothesis that younger virtual pet owners will experience closer companionship with their virtual pet than older owners. This is in response to the marketing stance adopted by virtual pet manufacturers who clearly target younger people as the main consumers of their products. The hypothesis was tested using survey data and companionship was measured using the Comfort from Companion Animals Scale. Support was found for the hypothesis at all definitions of young: there is a highly significant difference between the companionship offered by a virtual pet to young people than that offered to older people. Although this finding generally indicates that virtual pets offer more, in terms of emotional-engagement, to younger people than older people we suggest that much more research in this area is needed in order to better understand the phenomenal commercial success of virtual pets. In addition, there is an abundance of literature examining the benefits of owning real pets. It is possible that a virtual pet might be able to deliver some of these, and given our result, it is likely that virtual pets will be more likely to bring these benefits to young people rather than to old peopl

Quantitative Analysis of Genealogy Using Digitised Family Trees

Driven by the popularity of television shows such as Who Do You Think You Are? many millions of users have uploaded their family tree to web projects such as WikiTree. Analysis of this corpus enables us to investigate genealogy computationally. The study of heritage in the social sciences has led to an increased understanding of ancestry and descent but such efforts are hampered by difficult to access data. Genealogical research is typically a tedious process involving trawling through sources such as birth and death certificates, wills, letters and land deeds. Decades of research have developed and examined hypotheses on population sex ratios, marriage trends, fertility, lifespan, and the frequency of twins and triplets. These can now be tested on vast datasets containing many billions of entries using machine learning tools. Here we survey the use of genealogy data mining using family trees dating back centuries and featuring profiles on nearly 7 million individuals based in over 160 countries. These data are not typically created by trained genealogists and so we verify them with reference to third party censuses. We present results on a range of aspects of population dynamics. Our approach extends the boundaries of genealogy inquiry to precise measurement of underlying human phenomena

Agent based modelling as a decision support system for shadow accounting

We propose the use of agent based modelling to create a shadow account, that is, a secondary account of a business which is used to audit or verify the primary ac¬count. Such a model could be used to test the claims of industries and businesses. For example, the model could determine whether a business is generating enough funds to pay minimum wage. Parameters in the model can be set by observation or a range of values can be tested to determine points at which enough revenue could be generated. We illustrate the potential of agent based modelling as a tool for shadow accounting with a case study of a car wash business

Metric for Designing Inclusive User Interfaces: Action Research on the Implementation of the Care Act 2014

This action research is aimed at creating metric for inclusive user interfaces that provide are intuitive and mimic the natural conversation to bridge the skill gap between skilled users and novice users. This metric will help user interface designer to measure the ‘inclusivity’ of their design, thus producing services that as easy as an IKEA manual. This action research is conducted in Nottinghamshire County Council who invested resources to create online channel that enables customers to apply online for social care services, while recognising that their customer base is very diverse. The council adopted an inclusive design strategy to cater to all users with different needs and computer literacy levels

Adoption and transferability of joint interventions to fight modern slavery in food supply chains

More than 50 million people in the world are estimated to be in a situation of modern slavery, the most extreme form of labour exploitation. Many of them are working in sectors such as mining and agriculture, which produce price-sensitive commodity products and where workers are particularly vulnerable. Against this challenge, we analyse a successful intervention against modern slavery in a place that has been labelled the “ground zero of modern slavery in the US”. The Fair Food Programme was established in the tomato growing industry in Immokalee, Florida, and is based on an innovative joint action between farmers, buyers, and workers. We use an agent-based model built on qualitative field data to explain the success of the programme and to investigate whether the programme could be successfully transferred to other contextual settings. We model several market structures and measure the time it takes for all actors in the system to join the Fair Food Programme after a shock event (such as a case of modern slavery being discovered) triggered a dynamic of joint action. Our model shows that a high heterogeneity in farmer sizes leads to an increase in the time taken for them all to join the Fair Food Programme, while a high heterogeneity in buyer sizes speeds up reaching the tipping point towards joint action. We discuss these results and their implications for the transferability of the Fair Food Programme as a voluntary, incentive-driven approach towards tackling modern slavery, to other locations and contexts

Using data science to understand the film industry’s gender gap

Data science can offer answers to a wide range of social science questions. Here we turn attention to the portrayal of women in movies, an industry that has a significant influence on society, impacting such aspects of life as self-esteem and career choice. To this end, we fused data from the online movie database IMDb with a dataset of movie dialogue subtitles to create the largest available corpus of movie social networks (15,540 networks). Analyzing this data, we investigated gender bias in on-screen female characters over the past century. We find a trend of improvement in all aspects of women's roles in movies, including a constant rise in the centrality of female characters. There has also been an increase in the number of movies that pass the well-known Bechdel test, a popular-albeit flawed-measure of women in fiction. Here we propose a new and better alternative to this test for evaluating female roles in movies. Our study introduces fresh data, an open-code framework, and novel techniques that present new opportunities in the research and analysis of movies

Exploring the Effect of Using WhatsApp for Education During Covid-19 on University Students’ Performance: A Technostress Perspective

The use of mobile instant messaging (MIM), such as WhatsApp for learning can provide students with many benefits. With the recent switch to distance learning due to the COVID-19 outbreak, there is an ever growing reliance on information and communication technology for online teaching and learning. However, the increased use of MIM can also have consequences for students. This paper aims to explore the negative side of using WhatsApp during the shift to remote learning due to COVID-19. It investigates factors associated with WhatsApp use that cause fatigue among university students. Based on a review of the literature, it examines the effects of information and communication overload, invasion of life, and invasion of privacy on fatigue. It also examines the influence of fatigue on students’ performance. The data was collected via online questionnaires from 1188 undergraduate students in Saudi Arabia. The results indicate that the use of WhatsApp for learning creates fatigue among students. The reasons for the experience of fatigue are information and communication overload and invasion of privacy. The results also show that fatigue is negatively associated with students’ performance. The findings suggest that negative outcomes of MIM should be taken into account when designing distance learnin

Virtual world experimentation: an exploratory study

We explore the scientific potential of virtual worlds for experimental economics in terms of the subject pools and experimental platforms they present. Our results offer tentative, qualified support for virtual world experimentation. Overall, the be- haviour of virtual subjects recruited, incentivised and observed within Second Life across a range of five standard experimental games was not found to differ significantly from established standard results. In addition, we identify certain methodological opportunities and challenges which confront virtual world experimenters

Understanding labour exploitation in the Spanish agricultural sector using an agent based approach

Using an agent-based model we explore the model of slavery in modern business developed by Crane (2013). Taking the Spanish agricultural sector—specifically the area of Campo de Dalías in Almería where much of Europe's vegetables are grown—as a case, we find that labour exploitation flourishes in communities of like-minded companies that do not care about mainstream norms. We confirm which socio-economic aspects of labour demand/supply lead to slavery, while challenging the assumption that markets which are dominated by few employers are more prone to exploiting workers. We find that, regarding isolation and connectedness of employers, cluster effects and intense inter-employer communication are particularly effective drivers of underpayment if the cluster is homogenous in terms of wage level and if it is isolated from law-abiding employers. This means that employers tend to confirm and reinforce each other in their illegal behaviour, thus creating enclaves in which non-standard norms prevail and worker exploitation is regarded as legitimate. On the other hand, we see that breaking the isolation of employees among each other only increases pay levels if there are law-abiding employers, pointing to the potentially beneficial role social business and entrepreneurs, state-owned companies, or public entrepreneurs could play for transforming labour conditions of entire markets