Processes and Technologies for Small and Large Team Collaboration
Permanent URI for this collection
Browse
Recent Submissions
1 - 6 of 6
-
ItemExamining Trust and Reliance in Collaborations between Humans and Automated Agents( 2018-01-03)Human trust and reliance in artificial agents is critical to effective collaboration in mixed human computer teams. Understanding the conditions under which humans trust and rely upon automated agent recommendations is important as trust is one of the mechanisms that allow people to interact effectively with a variety of teammates. We conducted exploratory research to investigate how personality characteristics and uncertainty conditions affect human-machine interactions. Participants were asked to determine if two images depicted the same or different people, while simultaneously considering the recommendation of an automated agent. Results of this effort demonstrated a correlation between judgements of agent expertise and user trust. In addition, we found that in conditions of high and low uncertainty, the decision outcomes of participants moved significantly in the direction of the agent’s recommendation. Differences in reported trust in the agent were observed in individuals with low and high levels of extraversion.
-
ItemMachines as Teammates: A Collaboration Research Agenda( 2018-01-03)Humans will soon need to adapt to a collaborative setting in which technology becomes a smart collaboration partner that works with a group to achieve its goals. It is therefore time for collaboration researchers to explore the vast opportunities afforded by smart technology and to test its utility for enhancing team processes and outcomes. In this paper, we take a long view on the implications of smart technology for collaboration process design, and propose a research agenda for the next decade of collaboration research. We create a reference model to frame the research agenda.
-
ItemCollaboration Engineering: Reflections on 15 Years of Research & Practice( 2018-01-03)Collaboration Engineering (CE) is an approach for the design and deployment of repeatable collaborative work practices that can be executed by practitioners without the ongoing support of external collaboration professionals. Research on CE started in the early 2000s with studies on ways to transfer professional collaboration expertise to novices using a pattern language called thinkLets. Subsequent research focused the development of theories to explain key phenomena, the development of a structured design methodology, training methods, technology support, design theories, and various field and experimental studies focusing on specific aspects of the CE approach. This paper provides an overview of the different phases and key contributions of CE research and looks ahead at the research opportunities that are emerging as our society, organizations, technologies, and the nature of collaboration evolve.
-
ItemDesigning Tools for Collectively Solving Ill-Structured Problems( 2018-01-03)Ill-structured management problems are of paramount importance for organizations today. As they are complex to solve, they are undertaken by teams of diverse individuals who make use of tools to help them in solving such problems. Most tools either focus on supporting collaborative practices or are dedicated to solving specific ill-structured problems. In this paper, we bridge these two perspectives and provide design principles for tools that both support collaboration and are tailored for specific ill-structured problems. We derived these design principles from our participant observation of two critical cases of such collaborative tools: the Business Model Canvas and the Team Alignment Map. We lay the theoretical and design foundations for future developments of similar collaborative tools. Our paper illustrates the value that the IS discipline can bring to the increasing call for a design approach to management by rigorously developing tools for co-design.
-
ItemA Collaborative Curriculum Review: Applicability to Higher Education Institutions( 2018-01-03)Curriculum review is mandatory for all higher education institutions (HEIs). The process brings together different stakeholders’ expertise to evaluate and revise an existing curriculum, positioning the field of study within the current market and industry trends. Although this process is repetitive, it still remains complex, majorly due to divergent stakeholders’ interests, varying levels of expertise, uncertain activity paths and multiple desired outcomes. The paper thus presents a Collaborative Curriculum Review Process (ColCuRP) to support the review of varying curricula in HEIs. We followed a mixed research approach (design science and action research) to design and evaluate the ColCuRP. It underwent four iterations during its evaluation and proved to be successful regards reduction in time for the review process, and supporting the different teams of departmental faculty to review Bachelors, Post Graduate Diploma, Masters and PhD curricula, at four HEIs in Uganda. Moreover, the ColCuRP can be used by inexperienced facilitators.
-
Item