135 research outputs found
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Evaluation of Phase One of the Active Hospital Pilot
Background to the Active Hospital Pilot
In 2017, Public Health England (PHE) and Sport England (SE) appointed Oxford University Hospital Foundation Trust (OUHFT) to deliver an Active Hospital pilot. The pilot focused on the integration of physical activity into care pathways within secondary care.
Aims of the Active Hospital pilot
The aim of the Active Hospital pilot was to create an 'Active Hospital' by embedding an SEM consultant led PA service within an NHS Trust to integrate PA into the care plans of patients. This was tested across five clinical pathways within OUHFT where PA has not previously been targeted as a treatment intervention.
The evaluation of the Active Hospital pilot
The National Centre for Sport and Exercise Medicine (NCSEM), in partnership with Sheffield Hallam University (SHU), were commissioned by PHE and SE to conduct an independent evaluation of the Active Hospital pilot.
Primary and secondary aims of the Active Hospital pilot evaluation
The primary aim of the evaluation was to explore the acceptability and feasibility of multi-disciplinary SEM teams delivering targeted and tailored support to integrate PA into the care plans of OUHFT patients.
The secondary aims were to:
i) Explore secondary care HCPs baseline perceptions of SEM clinical advice in the context of clinical patient care.
ii) Determine clinical acceptability of SEM intervention with HCPs and with patients.
iii) Identify what works and what doesn’t work in establishing this model of SEM PA provision in secondary care.
iv) Understand the uptake of SEM PA provision in different clinical pathways and by different clinical teams within secondary care
Perspectives and challenges in bridging cultural heritage and communities through digital technologies
This data set was produced to determine the functional requirements of the CultureLabs platform, an interactive system aimed at planning, managing, and implementing participatory projects.
The data was gathered across Europe from June to November 2018 and consists of 5 surveys (for a total of 90 respondents) and 24 interviews:
two surveys to assess the CultureLabs Consortium's perspectives on co-design before and after a co-creation workshop organised in the early stages of the project
three surveys to gather the expectations of a variety of stakeholders (such as cultural professionals, academics in the field of cultural/digital heritage and community engagement, public foundations, research institutes, civil society organisations, local authorities, etc.) on technology and, more specifically, the CultureLabs platform for facilitating the participation of communities at risk of exclusion (particularly migrants and refugees) in cultural and heritage-related activities.
24 interviews with the same type of research participants mentioned above.
The findings resulted in a peer-reviewed publication exploring the role interactive digital technologies could play in fostering a wider deployment of social innovation-compatible and cultural heritage-related participatory projects. The publication is available at the following link: http://dl.acm.org/citation.cfm?doid=3328320.3328386
This work is supported by the European Union’s Horizon2020 project CultureLabs: Recipes for Social Innovation, under Grant Agreement 770158. The sole responsibility of this work lies with the authors. The European Union is not responsible for any use that may be made of the information contained therein
'There's No Place Like Time: A Retrospective of Alana Olsen' Exhibition Questionnaire Data
This is questionnaire data about participants’ engagements with a fictional artist Alana Olsen, who is the focus of the retrospective exhibition ‘There’s No Place Like Time’ at the Snite Museum of Art at the University of Notre Dame (USA) in 2018.
Participants were approached after they have visited the exhibition and asked to complete a short paper questionnaire – subject to reading a participant information sheet and completing a participant consent form. It was made clear to participants that they could decide if they wanted to take part.
The questionnaire itself is structured in two parts. The first part of the questionnaire is adapted from Green and Brock’s (2000) Narrative Transportation Questionnaire. Green and Brock’s questionnaire was designed to account for how readers experience and ‘transport’ into the worlds of literary fiction and features 12 statements or items against which participation rate their experiences using a 7-point likert scale. Since my study is on a smaller scale and since it is about engagement with an exhibition (not a literary text per se), Green and Brock’s questionnaire cannot be reproduced in its entirety. However, Part 1 of the questionnaire in my study asks participants to rate their experience of the exhibition against 4 of statements/items on a 5-point scale. These 4 statements include 1 statement from each subscale (cognitive, affective, imagery) and 1 general statement on concentration. The wording of the statements have been minimally adapted from Green and Brock’s statements in order to fit the exhibition context (e.g. substituting the word ‘narrative’ for ‘exhibition’). This part of the questionnaire was designed to provide quantitative data about participant’s felt sense of engagement with the exhibition, though it was ultimately not used in data analysis due to issues with measurement validity.
Part 2 of the questionnaire sought qualitative data using mostly open questions with comment boxes provided for responses. These questions asked about motivation for visiting the exhibition, prior knowledge of Alana Olsen, and probe their assessments of the fictionality of factuality of the exhibition
Behavioral evidence for memory replay of video episodes in macaque monkey
Humans recall the past by replaying fragments of events temporally. Here, we demonstrate a similar effect in macaques. We trained six rhesus monkeys with a temporal-order judgement (TOJ) task and collected 5000 TOJ trials. In each trial, they watched a naturalistic video of about 10 s comprising two across-context clips, and after a 2-s delay, performed TOJ between two frames from the video. The monkeys apply a non-linear forward, time-compressed replay mechanism during the temporal-order judgement. In contrast with humans, such compression of replay is however not sophisticated enough to allow them to skip over irrelevant information by compressing the encoded video globally. We also reveal that the monkeys detect event contextual boundaries and such detection facilitates recall by an increased rate of information accumulation. Demonstration of a time-compressed, forward replay like pattern in the macaque monkeys provides insights into the evolution of episodic memory in our lineag
Predictive analytics in facilities management: A pilot study for exploring environmental comfort using wireless sensors
Purpose: Advancements in wireless sensor technology and building modelling techniques have enabled facilities managers to understand the environmental performance of the workplace in more depth than ever before. However, it is unclear to what extent this data can be used to predict subjective environmental comfort. Thus, the aim of this study was to pilot test a methodological framework for integrating real-time environmental data with subjective ratings of environmental comfort. Design/Methodology/Approach: An open-plan office was fitted with environmental sensors to measure key indoor environmental quality parameters (carbon dioxide, temperature, humidity, illumination, and sound pressure level). Additionally, building modelling techniques were used to calculate two spatial metrics (‘workspace integration’ and workspace density) for each workspace within the study area. 15 employees were repeatedly sampled across an 11-day study period, providing 78 momentary assessments of environmental comfort. Multilevel models were used to explore the extent to which the objective environmental data predicted subjective environmental comfort. Findings: Higher carbon dioxide levels were associated with more negative ratings of air quality, higher ‘workspace integration’ was associated with higher levels of distractions, and higher workspace density was associated with lower levels of social interactions. Originality/Value: To our knowledge, this is the first field study to directly explore the relationship between physical environment data collected using wireless sensors and subjective ratings of environmental comfort. The study provides proof-of-concept for a methodological framework for the integration of building analytics and human analytics
Employee-workplace alignment: Employee characteristics and perceived workplace requirements
Purpose – This paper aims to identify the employee characteristics which are most strongly associated with perceived requirements for different aspects of the workplace environment. Design/methodology/approach – A questionnaire was completed by 364 employees from a large private-sector organisation. Respondents were surveyed on different work-related, personality and demographic characteristics. They then completed a series of items measuring perceived requirements for four aspects of the workplace environment (workspace segregation, workspace territoriality, individual environmental control and aesthetic quality). Associations between employee characteristics and perceived workplace requirements were explored using multiple regression analyses. Findings – Numerous significant associations emerged. For example, the requirement for more segregated workspaces was associated with higher susceptibility to distraction, and the requirement for higher workspace territoriality was associated with less positive perceptions regarding the impact of flexible working on work effectiveness. Originality/value – The individual difference factors which moderate satisfaction with the workplace environment have received relatively little attention in past research. The present study addresses this knowledge gap by including a wider range of employee characteristics and comprehensively investigating which of these most strongly predict differences in perceived requirements for the workplace
The mediated exploration of complex digital interaction design
This instrument is for use in facilitating formative assessments and insights of existing or envisaged complex interactive systems. By complex interactive systems, we mean systems where the idea of direct manipulation is inappropriate due to the presence of intermediate interactive notations designed for manipulating domain information.
The instrument was initially motivated by operational interpretations of the Cognitive Dimensions framework (Green, 1998; Blackwell, et al. 2001, Blackwell and Green 2000), and subsequent validation work (Roast and Khazaei, 2006) and experiences of applying the approach (Roast et al., 2013).
References
Blackwell, A.F., Britton, C., Cox, A. Green, T.R.G., Gurr, C.A., Kadoda, G.F., Kutar, M., Loomes, M., Nehaniv, C.L., Petre, M., Roast, C., Roes, C., Wong, A. and Young, R.M. (2001). Cognitive Dimensions of Notations: Design tools for cognitive technology. In M. Beynon, C.L. Nehaniv, and K. Dautenhahn (Eds.) Cognitive Technology 2001 (LNAI 2117). Springer-Verlag, pp. 325-341.
Blackwell, A.F. & Green, T.R.G. (2000). A Cognitive Dimensions Questionnaire optimised for users. In A.F. Blackwell & E. Bilotta (Eds.) Proceedings of the Twelth Annual Meeting of the Psychology of Programming Interest Group , 137-152.
Green, T. R. G. (1989). Cognitive dimensions of notations. In People and Computers V, A Sutcliffe and L Macaulay (Ed.) Cambridge University Press: Cambridge, pp. 443-460.
Roast, C. and Khazaei, B., An Investigation into the validation of formalised Cognitive Dimensions Design, Specification and Verification of Interactive Systems (DSVIS), July 2006, Springer Verlag.
Roast, C., Dearden, A. and Uruchurtu, E. (2013) Formative evaluation for complex interactive systems. In:Proceedings of the 6th Latin American Conference on Human Computer Interaction (CLIHC 2013), Springer Verlag
Cognitive Assessment Through Human-Robot Interaction - Performance Evaluation
Experiments were carried out within the University premises. Participants will be hosted in groups, but they will access to the assessment room one by one. To avoid the learning effect bias, the robotic and standard sessions will be spaced by at least two weeks. We will alternate which modality (robotic/standard) is tested first. A session is about 20 mins including welcome and debriefing. Details on the experiments are in the published articles.
The audio and video data from interaction were used for refining the speech and object recognition via machine learning techniques
State of the Coalfields 2019 - Dataset
The data is connected to the State of the Coalfields 2019 Repor
E-assessment in undergraduate mathematics literature review data
A systematic review of literature on e-assessment in undergraduate mathematics was undertaken in 2012 and updated in 2017. This dataset contains metadata about articles found in that review