Skip to main content

Research Repository

Advanced Search

All Outputs (7712)

Contextualisation of an unpublished document as text collage: Tate Jukka and Pekka (2016) (2024)
Presentation / Conference Contribution
Turtola, N. (2023, November). Contextualisation of an unpublished document as text collage: Tate Jukka and Pekka (2016). Presented at AOR2023: The eighth Art of Research conference 2023 - “Re-Imagining, Aalto University, Espoo, Finland

The purpose of this article is to contextualise an unpublished document titled Tate Jukka and Pekka (2016) through the method of experimental writing: text collage. Contextualisation happens through a literature review, re-visioning and returning to... Read More about Contextualisation of an unpublished document as text collage: Tate Jukka and Pekka (2016).

How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction (2024)
Presentation / Conference Contribution
Orme, M., Yu, Y., & Tan, Z. (2024, May). How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction. Presented at The 2024 Joint International Conference on Computational Linguistics, Language Resources and Evaluation (LREC-COLING 2024), Torino, Italy

This paper concerns the pressing need to understand and manage inappropriate language within the evolving human-robot interaction (HRI) landscape. As intelligent systems and robots transition from controlled laboratory settings to everyday households... Read More about How Much do Robots Understand Rudeness? Challenges in Human-Robot Interaction.

An investigation of the rotation patterns of international association meetings and events (2024)
Presentation / Conference Contribution
Drake, C., Lockstone-Binney, L., Robertson, M., & Thi Phuong Dung, L. (2024, February). An investigation of the rotation patterns of international association meetings and events. Presented at The 34th Annual Council for Australasian Tourism and Hospitality Education (CAUTHE) Conference, Hobart, Tasmania

International association meetings and events (IAMEs) are a significant segment of the business events sector. Noting the dearth of longitudinal research to confirm how these events rotate globally, regionally and over time, this study conducted an a... Read More about An investigation of the rotation patterns of international association meetings and events.

Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode (2024)
Presentation / Conference Contribution
Buchanan, W., Grierson, S., & Uribe, D. (2024, February). Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode. Presented at 10th International Conference on Information Systems Security and Privacy, Rome, Italy

Biometric data is often highly sensitive, and a leak of this data can lead to serious privacy breaches. Some of the most sensitive of this type of data relates to the usage of DNA data on individuals. A leak of this type of data without consent could... Read More about Privacy-Aware Single-Nucleotide Polymorphisms (SNPs) Using Bilinear Group Accumulators in Batch Mode.

Unregulated Futures: Scenario Planning for the Unknown (2024)
Presentation / Conference Contribution
Crawford, M., Roubelat, F., & Marchais-Roubelat, A. (2024, September). Unregulated Futures: Scenario Planning for the Unknown. Presented at Anticipation 2024, Lancaster, UK

Building from years of piloting novel methods for future visioning through group engagement, this curated session will take attendees through a fast-tracked, yet fully- immersive scenario planning workshop. The prompt is, “What does 2034 look like if... Read More about Unregulated Futures: Scenario Planning for the Unknown.

Designing out Barriers - Student Partnership for Student Voice Research (2024)
Presentation / Conference Contribution
Garden, C., Skelton, F., & Calabrese, P. (2024, September). Designing out Barriers - Student Partnership for Student Voice Research. Presented at RAISE Annual Conference 2024, Leicester

We are committed to creating a culture of inclusion at Edinburgh Napier University. Listening to and respecting the student voice are part of the culture – to be an inclusive university we must have ways to hear every student and work to remove any b... Read More about Designing out Barriers - Student Partnership for Student Voice Research.

"I Am Still Here" – Participatory Production during the Pandemic (2024)
Presentation / Conference Contribution
Guma, T. (2024, September). "I Am Still Here" – Participatory Production during the Pandemic. Presented at MECCSA (Media, Communication and Cultural Studies Association) 2024, Manchester, UK

During the covid pandemic colleagues from Sociology and Screen and Performance at Edinburgh Napier University collaborated with activist and community researchers to work with asylum seeking people in Glasgow to better understand and document their e... Read More about "I Am Still Here" – Participatory Production during the Pandemic.

Creative Informatics: how data driven innovation has transformed the creative workplace (2024)
Presentation / Conference Contribution
Paneels, I., & Patrick-Thomson, H. (2024, September). Creative Informatics: how data driven innovation has transformed the creative workplace. Paper presented at Transdisciplinary Workplace Research Conference

The creative economy is a workforce with a high proportion of freelancers and SMEs. This paper reflects on new ways of working, accelerated by the digital pivot of the creative workplace caused by the global pandemic. Whilst the impact of digital tec... Read More about Creative Informatics: how data driven innovation has transformed the creative workplace.

21009 (2024)
Presentation / Conference Contribution
Hejjas, K., Gilek, M., & Bratton, A. (2024, August). 21009. Paper presented at The 84th Annual Meeting of the Academy of Management (AOM 2024), Chicago, Illinois

Social exchange theory is used to understand the relationship between leadership and employee corporate social responsibility (CSR) engagement in a hybrid work environment. Using interview data from managers (5), CSR champions (6), and employees (17)... Read More about 21009.

Art Directing Blended Experiences (2024)
Presentation / Conference Contribution
Mastermaker, M., Okeefe, B. J., Flint, T., & Resmini, A. (2024, July). Art Directing Blended Experiences. Presented at Designing Interactive Systems Conference, Copenhagen, Denmark

Interactions between the physical and the digital have become increasingly ubiquitous. They are particularly challenging to visualize and illustrate, as they usually unfold over time and space and involve multiple devices, locations, services, and ac... Read More about Art Directing Blended Experiences.

Usability and acceptability of ambulatory ECG monitoring in undiagnosed syncope: Insights from the ASPIRED-Q qualitative study (2024)
Presentation / Conference Contribution
Pearsons, A., Hanson, C., Reed, M., Blackstock, C., Clarke, E., & Neubeck, L. (2024, October). Usability and acceptability of ambulatory ECG monitoring in undiagnosed syncope: Insights from the ASPIRED-Q qualitative study. Presented at Royal College of Emergency Medicine Annual Scientific Conference, Newcastle-upon-Tyne, United Kingdom

Aims, objectives and background: The aim of this study, which was embedded into the ASPIRED randomised controlled trial (ISRCTN10278811), was to explore patient and clinician usability and acceptability of an enhanced (14-day) ambulatory ECG monitori... Read More about Usability and acceptability of ambulatory ECG monitoring in undiagnosed syncope: Insights from the ASPIRED-Q qualitative study.

An Open Intent Discovery Evaluation Framework (2024)
Presentation / Conference Contribution
Anderson, G., Hart, E., Gkatzia, D., & Beaver, I. (2024, September). An Open Intent Discovery Evaluation Framework. Presented at SIGDIAL 2024, Kyoto, Japan

Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples (2024)
Presentation / Conference Contribution
Renau, Q., & Hart, E. (2024, July). Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples. Presented at GECCO 2024, Melbourne, Australia

The choice of input-data used to train algorithm-selection models is recognised as being a critical part of the model success. Recently, feature-free methods for algorithm-selection that use short trajec-tories obtained from running a solver as input... Read More about Improving Algorithm-Selection and Performance-Prediction via Learning Discriminating Training Samples.

Understanding fitness landscapes in morpho-evolution via local optima networks (2024)
Presentation / Conference Contribution
Thomson, S. L., Le Goff, L., Hart, E., & Buchanan, E. (2024, July). Understanding fitness landscapes in morpho-evolution via local optima networks. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Morpho-Evolution (ME) refers to the simultaneous optimisation of a robot's design and controller to maximise performance given a task and environment. Many genetic encodings have been proposed which are capable of representing design and control. Pre... Read More about Understanding fitness landscapes in morpho-evolution via local optima networks.

Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective (2024)
Presentation / Conference Contribution
Rodriguez, C. J., Thomson, S. L., Alderliesten, T., & Bosman, P. A. N. (2024, July). Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective. Presented at Genetic and Evolutionary Computation Conference (GECCO 2024), Melbourne, Australia

Many real-world problems have expensive-to-compute fitness functions and are multi-objective in nature. Surrogate-assisted evolutionary algorithms are often used to tackle such problems. Despite this, literature about analysing the fitness landscapes... Read More about Temporal True and Surrogate Fitness Landscape Analysis for Expensive Bi-Objective Optimisation Expensive Bi-Objective.

Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution (2024)
Presentation / Conference Contribution
Marrero, A., Segredo, E., León, C., & Hart, E. (2024, July). Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution. Presented at GECCO '24: Genetic and Evolutionary Computation Conference, Melbourne, Australia

The ability to generate example instances from a domain is important in order to benchmark algorithms and to generate data that covers an instance-space in order to train machine-learning models for algorithm selection. Quality-Diversity (QD) algorit... Read More about Learning Descriptors for Novelty-Search Based Instance Generation via Meta-evolution.

Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot (2024)
Presentation / Conference Contribution
Wilson, M., Brazier, D., Gkatzia, D., & Robertson, P. (2024, July). Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot. Presented at ACM Conversational User Interfaces 2024 (CUI ’24), Luxembourg, Luxembourg

We present a study of collaboration with expert participants for the purpose of the responsible design of a conversational agent. The Delphi study was used to identify and develop design and evaluation criteria for an automated career support interve... Read More about Participatory Design with Domain Experts: A Delphi Study for a Career Support Chatbot.