scholarly journals Enhancing the benefits of group involvement in research

Groupwork ◽  
2021 ◽  
Vol 30 (1) ◽  
Author(s):  
Alice Home
Keyword(s):  
Case Studies ◽  
Design Methods ◽  
Mutual Trust ◽  
Research Subjects ◽  
Community Groups ◽  
Mutual Learning ◽  
Practical Usefulness ◽  
Working Together ◽  
Community Issues ◽  
Group Involvement

Research can facilitate mutual learning, allow participants’ voices to be heard, increase practical usefulness of studies and foster empowerment. This paper discusses ways that groups can take part in research, outlines advantages and limits of each and explores strategies for enhancing benefits. This content is illustrated with brief examples from recent research publications and from two longer case studies. Groups and members can be involved as participants or co-producers of research. As participants, they either act as research subjects by contributing data, or as collaborators who are consulted at various times to help keep a study relevant to community issues. Being a subject offers an opportunity to reflect and share views, while collaborators and researchers can learn from working together. Though collaborators can exert influence, they have little control over decisions around focus, design, methods or dissemination of a study.  Co-producing knowledge offers community groups more power, learning and empowerment but requires high levels of mutual trust, commitment and persistence. Potential gains and risks increase as involvement intensifies. However, researchers can enhance benefits at any level, by keeping this goal in mind when planning studies.

Human-Agent Team Game Analysis Framework: Case Studies

2021 ◽  
Vol 65 (1) ◽  
pp. 1146-1150
Author(s):  
Nathan Sepich ◽  
Michael C. Dorneich ◽  
Stephen Gilbert
Keyword(s):  
Video Games ◽  
Case Studies ◽  
Analysis Framework ◽  
Systematic Method ◽  
Game Analysis ◽  
Human Agent ◽  
Working Together ◽  
Team Game ◽  
Different Dimensions ◽  
Agent Intelligence

This research details the development of a human-agent team (HAT) analysis framework specifically aimed at video games. The framework identifies different dimensions of interest related to humans and software agents working together. Video games have a variety of user-tested interaction paradigms that may offer useful insights into HAT dynamics, but it can be difficult for researchers to know which games are relevant to their research without a systematic method of characterizing HAT relationships. The framework was developed based on previous literature and gameplay analysis. This paper offers three case studies, applying the framework to the games Madden 21, Call to Arms, and Civilization V. Possible trends related to agent intelligence, team structures, and interdependence are discussed.

scholarly journals Privilege and Humility in Addressing Knowledge Divides

2018 ◽  
Author(s):  
Pamela Oliver
Keyword(s):  
Criminal Justice ◽  
Racial Disparities ◽  
Community Groups ◽  
New Knowledge ◽  
Diverse Community ◽  
Community Issues

This article describes some of the author’s experiences in 18 years of working with diverse community groups around issues of racial disparities in criminal justice. It argues that academics can play important roles in locating and sharing knowledge about community issues, in provoking discussions, in carrying knowledge between groups, and in actively attending to the voices of those who are most oppressed and marginalized. It highlights the value of bringing new knowledge into a discussion and the tensions that arise as people in different positions seek solutions to identified problems. Academics in community groups should be understood as a type of privileged ally who experiences cross pressures like those of other activist professionals. A stance of reflexive humility is recommended.

Engineering AI Systems

2021 ◽  
pp. 1-19 ◽  
Author(s):  
Jan Bosch ◽  
Helena Holmström Olsson ◽  
Ivica Crnkovic
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Data Quality ◽  
Case Studies ◽  
Research Agenda ◽  
Production Quality ◽  
Research Community ◽  
Design Methods ◽  
Engineering Approach ◽  
Quality Design

Artificial intelligence (AI) and machine learning (ML) are increasingly broadly adopted in industry. However, based on well over a dozen case studies, we have learned that deploying industry-strength, production quality ML models in systems proves to be challenging. Companies experience challenges related to data quality, design methods and processes, performance of models as well as deployment and compliance. We learned that a new, structured engineering approach is required to construct and evolve systems that contain ML/DL components. In this chapter, the authors provide a conceptualization of the typical evolution patterns that companies experience when employing ML as well as an overview of the key problems experienced by the companies that they have studied. The main contribution of the chapter is a research agenda for AI engineering that provides an overview of the key engineering challenges surrounding ML solutions and an overview of open items that need to be addressed by the research community at large.

Selling Ease of Use: Human Factors Partnerships with Marketing

1988 ◽  
Vol 32 (10) ◽  
pp. 598-602 ◽  
Author(s):  
Anna M. Wichansky ◽  
Charles N. Abernethy ◽  
Miriam E. Kotsonis ◽  
D.C. Antonelli ◽  
Peter P. Mitchell
Keyword(s):  
Human Factors ◽  
Case Studies ◽  
Collaborative Work ◽  
Marketing Research ◽  
Ease Of Use ◽  
Audience Participation ◽  
Customer Demand ◽  
Working Together ◽  
Pros And Cons ◽  
Answer Format

As customer demand surges for products which are easy to use, human factors and marketing professionals are working together more frequently. The purpose of this panel is to discuss ways in which human factors and marketing can interact to provide and promote usability. Panelists will share their successes and failures in working with marketing by describing case studies of collaborative work. The pros and cons of joint efforts will be discussed in a moderated question and answer format with audience participation. Brad Woolsey of Parallax Marketing Research will be a discussant.

Environmental action for community monitoring

2002 ◽  
Vol 45 (11) ◽  
pp. 177-184 ◽  
Author(s):  
N. Kingham
Keyword(s):  
Data Collection ◽  
Case Studies ◽  
Significant Role ◽  
Technical Support ◽  
Environmental Action ◽  
Community Groups ◽  
Community Monitoring ◽  
Community Data ◽  
Awareness Raising

Community monitoring began in Australia in the 1980s primarily as an awareness-raising tool. Since that time, the community has developed increased skills and knowledge in monitoring procedures and both the data collectors and data users are placing greater demands on community data to be accurate and reliable. With over 3,500 community groups in the field collecting data at over 5,000 sites across Australia, the Waterwatch Program has developed guidelines and tools for monitoring and data collection for the community to collect reliable, accurate and useful data. This paper will discuss how Waterwatch is providing technical support through a range of data confidence guidelines and procedures to ensure that community monitoring and community data continue to play a significant role in the protection and management of our waterways. This paper will also draw on a couple of case studies from across Australia that demonstrate community data being used by a variety of stakeholders.

Community Groups in Action: Case Studies and Analysis.

1982 ◽  
Vol 11 (3) ◽  
pp. 308
Author(s):  
Wade Rathke ◽  
Hugh Butcher ◽  
Patricia Collis ◽  
Andrew Glen ◽  
Patrick Sills
Keyword(s):  
Case Studies ◽  
Community Groups ◽  
Action Case

Co-Producing Research

2018 ◽  
Keyword(s):  
Community Development ◽  
Case Studies ◽  
Critical Examination ◽  
Community Agency ◽  
Community Groups ◽  
Policy Makers ◽  
Funded Project ◽  
Development Approach ◽  
Community Contexts

Offering a critical examination of the nature of co-produced research, this important new book draws on materials and case studies from the ESRC funded project ‘Imagine – connecting communities through research’. Outlining a community development approach to co-production, which privileges community agency, the editors link with wider debates about the role of universities within communities. With policy makers in mind, contributors discuss in clear and accessible language what co-production between community groups and academics can achieve. The book will be valuable for practitioners within community contexts, and researchers interested in working with communities, activists, and artists.

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