Future directions for mobile augmented reality research: Understanding relationships between augmented reality users, nonusers, content, devices, and industry

2018 ◽  
Vol 7 (1) ◽  
pp. 131-149 ◽  
Author(s):  
Tony Liao
Keyword(s):  
Augmented Reality ◽  
Social Science ◽  
Science Fiction ◽  
Social Science Research ◽  
Science Research ◽  
Mobile Technologies ◽  
Mobile Augmented Reality ◽  
Mobile Media ◽  
Research Areas ◽  
Theoretical Perspectives

As the field of mobile media studies continues to grow, researchers are focusing on new developments and trends in mobile technologies. One of these areas that has been garnering interest is mobile augmented reality (AR) technologies. While much of the earliest research in AR was primarily focused on answering computer science and engineering related questions, social science and humanities scholars have started taking note of AR as perhaps the next major development in mobile media. Given that much of this research has been distributed across interdisciplinary lines and from many different theoretical perspectives, this piece identifies some early lines of media, communication, and social science research into AR and identifies key themes and areas of focus: AR users/nonusers, AR devices, AR content, and AR industry. By organizing these lines of research, this manuscript serves as a call for specific future areas of research, suggests new approaches that researchers could take to explore interrelationships between these areas, and advocates for the necessity of research that examines different levels (micro/meso/macro) of analysis within AR. The goal of this piece is to advance a framework that informs and motivates mobile scholars to consider and integrate AR into their research areas, at a moment where it is in the process of moving from science fiction to material reality, from blueprint to prototype, and from laboratory to homes, cars, workplaces, and pockets.

The Impact of Race on Environmental Quality: An Empirical and Theoretical Discussion

1996 ◽  
Vol 39 (2) ◽  
pp. 231-248 ◽  
Author(s):  
Raquel Pinderhughes
Keyword(s):  
United States ◽  
Social Science ◽  
Social Science Research ◽  
Science Research ◽  
The United States ◽  
Environmental Hazards ◽  
Theoretical Perspectives ◽  
Pollution Problem ◽  
The Impact ◽  
The Relationship

The toxic pollution problem is composed of several interrelated parts which are involved in the process of production, use, and disposal of chemicals and products considered necessary for society. Each day, millions of pounds of toxic chemicals are used, stored, disposed of, and transported in and out of communities throughout the United States. Most Americans assume that pollution and other environmental hazards are problems faced equally by everyone in our society. But a growing body of research shows that the most common victims of environmental hazards and pollution are minorities and the poor. Disproportionate exposure to environmental hazards is part of the complex cycle of discrimination and deprivation faced by minorities in the United States. This article examines social science empirical research on the relationship between race, class, and the distribution of environmental hazards and the theoretical perspectives which have emerged to explain environmental inequities. The article also discusses the link between the environmental justice movement, which seeks to confront the causes and consequences of environmental inequities, and social science research on environmental inequity.

Multi-Agent Systems Research and Social Science Theory Building

2007 ◽  
pp. 101-110
Author(s):  
H. Verhagen
Keyword(s):  
Social Science ◽  
Organization Theory ◽  
Social Science Research ◽  
Science Research ◽  
Multi Agent Systems ◽  
Agent Systems ◽  
Research Areas ◽  
Systems Research ◽  
Science Theory ◽  
Multi Agent

This chapter describes the possible relationship between multi-agent systems research and social science research, more particularly sociology. It gives examples of the consequences and possibilities of these relationships, and describes some of the important issues and concepts in each of these areas. It finally points out some future directions for a bi-directional relationship between the social sciences and multi-agent systems research which hopefully will help researchers in both research areas, as well as researchers in management and organization theory.

How Religion Comforts the Dying: A Qualitative Inquiry

2009 ◽  
Vol 58 (1) ◽  
pp. 41-59 ◽  
Author(s):  
Carolyn F. Pevey ◽  
Thomas J. Jones ◽  
Annice Yarber
Keyword(s):  
Social Science ◽  
Death Anxiety ◽  
Social Science Research ◽  
Science Research ◽  
Qualitative Inquiry ◽  
Life After Death ◽  
Theoretical Perspectives ◽  
Hospice Patients ◽  
Cosmic Order

Although considerable social science research has explored religiosity and death anxiety, and many have theorized that religion comforts the dying, with speculations on the mechanisms by which religion comforts, very little research has asked people who were actually dying to discuss religion. This article reports on answers given by 38 hospice patients to the questions: Is religion a comfort to you? How does religion comfort you? This study found that religion, when it comforted these dying people, did so by offering a relationship to the dying, by giving the hope of life after death, through identifications, and through the assurance of cosmic order. The authors suggest theoretical perspectives accounting for these functions.

scholarly journals The Word List Distribution in Social Science Research Articles

2017 ◽  
Author(s):  
Arab World English Journal ◽  
Sorawut Chanasattru ◽  
Supong Tangkiengsirisin
Keyword(s):  
Social Science ◽  
Social Science Research ◽  
Word List ◽  
Science Research ◽  
Research Articles ◽  
General Category ◽  
Word Families ◽  
Research Areas ◽  
Flash Cards ◽  
Word Lists

This study investigates the distribution and coverage of words in New General Service List (NGSL) and the Academic Word List (AWL) in social science research articles. Sixty-four open-access English social science research articles published in 2013-2015 in the ScienceDirect General category were selected and compiled to the Social Science Corpus (SSC). The AntWordProfiler 1.4.0 was utilized to calculate the frequency and coverage percentage of words from the two word lists. Word families in level 1 and level 2 of the NGSL were utilized over 70 percent, whilst level 3 word families were used around 60 percent of the entire SSC. Similarly, 99.65 percent of the AWL word families were discovered. Regarding coverage, the NGSL word families accounted for over 70 percent and the AWL word families covered around 14 percent revealing significant coverage of both word lists. The top 10 NGSL word families represented journals subject areas from which they were derived, whilst the top 10 AWL word families were used more repeatedly and linked with social science research areas. The finding of high distributions and coverage corroborated that the NGSL and the AWL significantly contribute to vocabulary pedagogy in preparing students for reading and writing social science research articles. Additionally, some pedagogical implication guidelines of the NGSL and the AWL such as flash cards, quizzes, and written tests were also introduced.

Usefulness of Netnography in the Digital Banking Context

2022 ◽  
pp. 280-294
Author(s):  
Irina Dimitrova ◽  
Peter Öhman
Keyword(s):  
Data Analysis ◽  
Data Collection ◽  
Social Science ◽  
Real Time ◽  
Research Method ◽  
Social Science Research ◽  
Science Research ◽  
Customer Feedback ◽  
Research Areas ◽  
Financial Research

This chapter discusses the usefulness of netnography as a research method in the digital banking context. Netnography has become a relative attractive data collection and data analysis method in some social science research areas but is still relatively unknown in financial research. Compared with other research methods, netnography seems to have some advantages in the digital banking world, such as real-time customer feedback. Moreover, virtual observations can be used not only by researchers but also by bank representatives to, for example, find out how bank customers can contribute to value co-creation.

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