Virtual Assisted Self Interviewing (VASI): An Expansion of Survey Data Collection Methods to the Virtual Worlds by Means of VDCI

Changes in communication technology have allowed for the expansion of data collection modes in survey research. The proliferation of the computer has allowed the creation of web and computer assisted auto-interview data collection modes. Virtual worlds are a new application of computer technology that once again expands the data collection modes by VASI (Virtual Assisted Self Interviewing). The Virtual Data Collection Interface (VDCI) developed at Indiana University in collaboration with the German Socio-Economic Panel Study (SOEP) allows survey researchers access to the population of virtual worlds in fully immersive Heads-up Display (HUD)-based survey instruments. This expansion needs careful consideration for its applicability to the researcher's question but offers a high level of data integrity and expanded survey availability and automation. Current open questions of the VASI method are an optimal sampling frame and sampling procedures within e. g. a virtual world like Second Life (SL). Further multi-modal studies are proposed to aid in evaluating the VDCI and placing it in context of other data collection modes.Interviewing mode, PAPI, CAPI, CASI, VASI, VDCI, second life

Online surveys-possibilities, pitfalls and practicalities: the experience of the TELA evaluation.

Surveys are a commonly used strategy for gaining insights into teacher perspectives. They are often seen as cost effective in terms of time and resources required, but the challenges involved in conducting and processing paper-based surveys can be considerable. Online surveys offer an alternative, particularly now that people have better access to computers and the Internet, and also since the available software has recently become more user-friendly and in some cases, free to the user. In this paper, the research process used in a large longitudinal evaluation study is discussed, where teachers increasingly opted to participate in an online survey in preference to a paper survey. The possibilities of choosing to use an online survey were attractive but they came with pitfalls. The practical strategies that proved effective in engaging teachers in an online survey process and in managing online responses are discussed and considered in the light of current research literature

Virtual Assisted Self Interviewing (VASI): An Expansion of Survey Data Collection Methods to the Virtual Worlds by Means of VDCI

Changes in communication technology have allowed for the expansion of data collection modes in survey research. The proliferation of the computer has allowed the creation of web and computer assisted auto-interview data collection modes. Virtual worlds are a new application of computer technology that once again expands the data collection modes by VASI (Virtual Assisted Self Interviewing). The Virtual Data Collection Interface (VDCI) developed at Indiana University in collaboration with the German Socio-Economic Panel Study (SOEP) allows survey researchers access to the population of virtual worlds in fully immersive Heads-up Display (HUD)-based survey instruments. This expansion needs careful consideration for its applicability to the researcher’s question but offers a high level of data integrity and expanded survey availability and automation. Current open questions of the VASI method are an optimal sampling frame and sampling procedures within e. g. a virtual world like Second Life (SL). Further multimodal studies are proposed to aid in evaluating the VDCI and placing it in context of other data collection modes.Interviewing Mode, PAPI, CAPI, CASI, VASI, VDCI, Second Life

Animal-Computer Interaction: the emergence of a discipline

In this editorial to the IJHCS Special Issue on Animal-Computer Interaction (ACI), we provide an overview of the state-of-the-art in this emerging field, outlining the main scientific interests of its developing community, in a broader cultural context of evolving human-animal relations. We summarise the core aims proposed for the development of ACI as a discipline, discussing the challenges these pose and how ACI researchers are trying to address them. We then introduce the contributions to the Special Issue, showing how they illustrate some of the key issues that characterise the current state-of-the-art in ACI, and finally reflect on how the journey ahead towards developing an ACI discipline could be undertaken

Collecting Data from Children Ages 9-13

Provides a summary of literature on common methods used to collect data, such as diaries, interviews, observational methods, and surveys. Analyzes age group-specific considerations, advantages, and drawbacks, with tips for improving data quality

How Supervisors Influence Performance: A Multilevel Study of Coaching and Group Management in Technology-Mediated Services

This multilevel study examines the role of supervisors in improving employee performance through the use of coaching and group management practices. It examines the individual and synergistic effects of these management practices. The research subjects are call center agents in highly standardized jobs, and the organizational context is one in which calls, or task assignments, are randomly distributed via automated technology, providing a quasi-experimental approach in a real-world context. Results show that the amount of coaching that an employee received each month predicted objective performance improvements over time. Moreover, workers exhibited higher performance where their supervisor emphasized group assignments and group incentives and where technology was more automated. Finally, the positive relationship between coaching and performance was stronger where supervisors made greater use of group incentives, where technology was less automated, and where technological changes were less frequent. Implications and potential limitations of the present study are discussed

Conversational affective social robots for ageing and dementia support

Socially assistive robots (SAR) hold significant potential to assist older adults and people with dementia in human engagement and clinical contexts by supporting mental health and independence at home. While SAR research has recently experienced prolific growth, long-term trust, clinical translation and patient benefit remain immature. Affective human-robot interactions are unresolved and the deployment of robots with conversational abilities is fundamental for robustness and humanrobot engagement. In this paper, we review the state of the art within the past two decades, design trends, and current applications of conversational affective SAR for ageing and dementia support. A horizon scanning of AI voice technology for healthcare, including ubiquitous smart speakers, is further introduced to address current gaps inhibiting home use. We discuss the role of user-centred approaches in the design of voice systems, including the capacity to handle communication breakdowns for effective use by target populations. We summarise the state of development in interactions using speech and natural language processing, which forms a baseline for longitudinal health monitoring and cognitive assessment. Drawing from this foundation, we identify open challenges and propose future directions to advance conversational affective social robots for: 1) user engagement, 2) deployment in real-world settings, and 3) clinical translation

Adobe Youth Voices Literature Review

Education Development Center, Inc. (EDC) received a grant from Adobe to conduct an evaluation of the Adobe Youth Voices (AYV) program. As part of the evaluation, EDC conducted a review of relevant literature to situate AYV in a broader context, provide stakeholders with a framework for understanding goals and outcomes, and frame and inform the evaluation questions. EDC reviewed scholarly articles, program reports and evaluations, and research studies that addressed youth media programs, youth development, teacher professional development, and other areas related to AYV's goals.Among the findings, the literature review includes 6 key points that speak to the AYV program:1. The goals of youth media programs most commonly cited can be grouped into several categories: Youth voice -- the capacity for self-expression Youth development -- the process of developing the skills and personal attributes that enable young people to become successful adults Media literacy -- the ability to analyze, evaluate and produce information in a variety of media forms Skill development -- such as communication, critical thinking, technology, and media production skills Social action or civic engagement 2. Outcomes and impacts on participants of youth media programs commonly found in the literature include: Improved skills Improved community perception of youth Positive youth development Increased social action and civic engagement 3. Outcomes and impacts on participants of youth development programs frequently cited include:Improved communication, critical thinking, and related skills Increased self-esteem More positive attitudes towards school and their futures 4. There is broad agreement that traditional educational approaches do not adequately address 21st century skills. Education must adapt to be more compatible with the ways in which young people think and learn, as well as the tools and media that are part of their environment.5. Student engagement in education has been associated with positive youth development and 21st century skills. Engaging instruction often includes inquiry- or project-based, multidisciplinary, and authentic learning activities.6. Educator professional development is believed to be a key step toward improving student outcomes. While there is little research that can demonstrate this connection, there is new focus on evaluating the effectiveness of professional development activities. Elements of effective professional development include learning communities and collaboration, ongoing support and assistance, and active or applied learning