All Outputs (11168)

From Trolley to Autonomous Vehicle: Perceptions of Responsibility and Moral Norms in Traffic Accidents with Self-Driving Cars
Presentation / Conference Contribution
Li, J., Zhao, X., Cho, M.-J., Ju, W., & Malle, B. F. (2016, April). From Trolley to Autonomous Vehicle: Perceptions of Responsibility and Moral Norms in Traffic Accidents with Self-Driving Cars. Presented at SAE 2016 World Congress and Exhibition, Detroit, MI, USA

Autonomous vehicles represent a new class of transportation that may be qualitatively different from existing cars. Two online experiments assessed lay perceptions of moral norms and responsibility for traffic accidents involving autonomous vehicles.... Read More about From Trolley to Autonomous Vehicle: Perceptions of Responsibility and Moral Norms in Traffic Accidents with Self-Driving Cars.

Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles
Presentation / Conference Contribution
Rothenbucher, D., Li, J., Sirkin, D., Mok, B., & Ju, W. (2016, August). Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles. Presented at 25th IEEE International Symposium on Robot and Human Interactive Communication, RO-MAN 2016, New York, USA

How will pedestrians and bicyclists interact with autonomous vehicles when there is no human driver? In this paper, we outline a novel method for performing observational field experiments to investigate interactions with driverless cars. We provide... Read More about Ghost driver: A field study investigating the interaction between pedestrians and driverless vehicles.

Ms. robot will be teaching you: Robot lecturers in four modes of automated remote instruction
Presentation / Conference Contribution
Li, J., & Ju, W. (2016, March). Ms. robot will be teaching you: Robot lecturers in four modes of automated remote instruction. Presented at AAAI Spring Symposium - Technical Report, Palo Alto, USA

Methods and materials are described for employing a human-shaped robot as a lecturer in automated remote instruction. Video segments from the stimuli of a 2 (participant substrate: VR or non-VR) x 2 (robot embodiment: copresent or screen) balanced be... Read More about Ms. robot will be teaching you: Robot lecturers in four modes of automated remote instruction.

Social robots as interactive technology agents: Supporting design with exploratory assessment
Presentation / Conference Contribution
Li, J. (2016, March). Social robots as interactive technology agents: Supporting design with exploratory assessment. Presented at 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Christchurch, New Zealand

How people respond to social robots as new interactive media is an important consideration for their design and implementation. A series of experimental studies uses exploratory assessment to evaluate three applications of social robots: pedagogical... Read More about Social robots as interactive technology agents: Supporting design with exploratory assessment.

Social robots for automated remote instruction
Presentation / Conference Contribution
Li, J., & Ju, W. (2016, March). Social robots for automated remote instruction. Presented at 2016 11th ACM/IEEE International Conference on Human-Robot Interaction (HRI), Christchurch, New Zealand

Instructional video content is being created in many different languages. A robot is a generic interface that can deliver translated lecture content in a person's space. In an exploratory study, 40 participants viewed a lecture delivered by a robot l... Read More about Social robots for automated remote instruction.

Ghost driver: A platform for investigating interactions between pedestrians and driverless vehicles
Presentation / Conference Contribution
Rothenbücher, D., Li, J., Sirkin, D. M., Mok, B. K. J., & Ju, W. G. (2015, September). Ghost driver: A platform for investigating interactions between pedestrians and driverless vehicles. Presented at AutomotiveUI '15, Nottingham, UK

How will pedestrians and cyclists interact with self-driving cars when there is no human driver? To find answers to this question we need a secure experimental design in which pedestrians can interact with a car that appears to drive on its own. In G... Read More about Ghost driver: A platform for investigating interactions between pedestrians and driverless vehicles.

Observer Perception of Dominance and Mirroring Behavior in Human-Robot Relationships
Presentation / Conference Contribution
Li, J., Ju, W., & Nass, C. (2015, March). Observer Perception of Dominance and Mirroring Behavior in Human-Robot Relationships. Presented at ACM/IEEE International Conference on Human-Robot Interaction (HRI), Portland, USA

How people view relationships between humans and robots is an important consideration for the design and acceptance of social robots. Two studies investigated the effect of relational behavior in a human-robot dyad. In Study 1, participants watched v... Read More about Observer Perception of Dominance and Mirroring Behavior in Human-Robot Relationships.

How to train your DragonBot: Socially assistive robots for teaching children about nutrition through play
Presentation / Conference Contribution
Short, E., Swift-Spong, K., Greczek, J., Ramachandran, A., Litoiu, A., Grigore, E. C., Feil-Seifer, D., Shuster, S., Lee, J. J., Huang, S., Levonisova, S., Litz, S., Li, J., Ragusa, G., Spruijt-Metz, D., Mataric, M., & Scassellati, B. (2014, August). How to train your DragonBot: Socially assistive robots for teaching children about nutrition through play. Presented at The 23rd IEEE International Symposium on Robot and Human Interactive Communication, Edinburgh, UK

This paper describes an extended (6-session) interaction between an ethnically and geographically diverse group of 26 first-grade children and the DragonBot robot in the context of learning about healthy food choices. We find that children demonstrat... Read More about How to train your DragonBot: Socially assistive robots for teaching children about nutrition through play.

The nature of the bots: How people respond to robots, virtual agents and humans as multimodal stimuli
Presentation / Conference Contribution
Li, J. (2013, December). The nature of the bots: How people respond to robots, virtual agents and humans as multimodal stimuli. Presented at ICMI '13: 2013 International Conference on Multimodal Interaction, Sydney, Australia

This research agenda aims to understand how people treat robots along two dialectics. In the mechanical-living dialectic, fabricated entities are assessed against their organic counterparts to see if people respond differently to robots versus other... Read More about The nature of the bots: How people respond to robots, virtual agents and humans as multimodal stimuli.

Emotions and messages in simple robot gestures
Presentation / Conference Contribution
Li, J., Chignell, M., Mizobuchi, S., & Yasumura, M. (2009, July). Emotions and messages in simple robot gestures. Presented at International Conference on Human-Computer Interaction, San Diego, USA

Understanding how people interpret robot gestures will aid design of effective social robots. We examine the generation and interpretation of gestures in a simple social robot capable of head and arm movement using two studies. In the first study, fo... Read More about Emotions and messages in simple robot gestures.

Perceptual Image Processing for Digital Edge Linking
Presentation / Conference Contribution
Li, J., Randall, J., & Guan, L. (2003, May). Perceptual Image Processing for Digital Edge Linking. Presented at Canadian Conference on Electrical and Computer Engineering, Montreal, Canada

This paper presents two methods of digital edge linking that have a reasonable correlation with psychological properties employed by human users. In the first method, each endpoint is linked to the point judged to be its best match under the criteria... Read More about Perceptual Image Processing for Digital Edge Linking.

Does Media Format Matter? Investigating the Toxicity, Sentiment and Topic of Audio Versus Text Social Media Messages
Presentation / Conference Contribution
Li, J., & Penaranda Valdivia, K. (2022, December). Does Media Format Matter? Investigating the Toxicity, Sentiment and Topic of Audio Versus Text Social Media Messages. Presented at 10th International Conference on Human-Agent Interaction, Christchurch, New Zealand

Audio messaging and voice-based interactions are growing in popularity. Lexical features of a manually-curated dataset of real-world audio tweets, as well as text and video/image tweets from the same user accounts, are analyzed to explore how user-ge... Read More about Does Media Format Matter? Investigating the Toxicity, Sentiment and Topic of Audio Versus Text Social Media Messages.

Double Trouble: The Effect of Eye Gaze on the Social Impression of Mobile Robotic Telepresence Operators
Presentation / Conference Contribution
Wolf, E. D., & Li, J. (2020, November). Double Trouble: The Effect of Eye Gaze on the Social Impression of Mobile Robotic Telepresence Operators. Presented at International Conference on Social Robotics, Golden, CO, USA

Eye gaze is used to convey crucial information during interactions with humans and robots. Modern video conferencing systems, an aspect of mobile robotic telepresence (MRP) systems, have limited eye gaze functionality due to the Mona Lisa effect. Thi... Read More about Double Trouble: The Effect of Eye Gaze on the Social Impression of Mobile Robotic Telepresence Operators.

PermutEx: Feature-Extraction-Based Permutation — A New Diffusion Scheme for Image Encryption Algorithms
Presentation / Conference Contribution
Khan, M. S., Ahmad, J., Al-Dubai, A., Jaroucheh, Z., Pitropakis, N., & Buchanan, W. J. (2023, November). PermutEx: Feature-Extraction-Based Permutation — A New Diffusion Scheme for Image Encryption Algorithms. Presented at 2023 IEEE 28th International Workshop on Computer Aided Modeling and Design of Communication Links and Networks (CAMAD), Edinburgh, United Kingdom

Traditional permutation schemes mostly focus on random scrambling of pixels, often neglecting the intrinsic image information that could enhance diffusion in image encryption algorithms. This paper introduces PermutEx, a feature-extractionbased permu... Read More about PermutEx: Feature-Extraction-Based Permutation — A New Diffusion Scheme for Image Encryption Algorithms.

Explaining evolutionary feature selection via local optima networks
Presentation / Conference Contribution
Adair, J., Thomson, S. L., & Brownlee, A. E. I. (2024, July). Explaining evolutionary feature selection via local optima networks. Presented at ACM Genetic and Evolutionary Computation Conference (GECCO) 2024, Melbourne, Australia

We analyse fitness landscapes of evolutionary feature selection to obtain information about feature importance in supervised machine learning. Local optima networks (LONs) are a compact representation of a landscape, and can potentially be adapted fo... Read More about Explaining evolutionary feature selection via local optima networks.

A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare
Presentation / Conference Contribution
Brownlee, A., Thomson, S., & Oladapo, R. (2024, July). A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare. Presented at Proceedings of the Genetic and Evolutionary Computation Conference Companion, Melbourne, Australia

We report on a case study application of metaheuristics with Argyll and Bute Health and Social Care Partnership in the West of Scotland. The Partnership maintains a fleet of pool vehicles that are available to service visits of staff to locations acr... Read More about A Bi-Level Approach to Vehicle Fleet Reduction: Successful Case Study in Community Healthcare.

Convex neural network synthesis for robustness in the 1-norm
Presentation / Conference Contribution
Drummond, R., Guiver, C., & Turner, M. C. (2024, July). Convex neural network synthesis for robustness in the 1-norm. Presented at 6th Annual Learning for Dynamics & Control Conference, Oxford, England

With neural networks being used to control safety-critical systems, they increasingly have to be both accurate (in the sense of matching inputs to outputs) and robust. However, these two properties are often at odds with each other and a trade-off ha... Read More about Convex neural network synthesis for robustness in the 1-norm.

A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development
Presentation / Conference Contribution
Peng, T., & Graham, H. (2024, July). A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development. Presented at DATA 2024: 13th International Conference on Data Science, Technology and Applications, Dijon, France

As data volumes grow, so too does our need and ability to analyse it. Cloud computing technologies offer a wide variety of options for analysing big data and make this ability available to anyone. However, the monetary implications for doing this in... Read More about A Comparison of the Efficiencies of various Structured and Semi- Structured Data Formats in Data Analysis and Big Data Analytic Development.

Participatory Explorations in the Techno-Spiritual
Presentation / Conference Contribution
Grandison, T. (2024, June). Participatory Explorations in the Techno-Spiritual. Presented at The 22nd European Conference on Computer-Supported Cooperative Work, Rimini, Italy

This exploratory paper presents a pilot study conducted with 64 undergraduate students at Edinburgh Napier University in November 2023. The aim of this study was to understand how people who do not necessarily identify as religious engaged in what th... Read More about Participatory Explorations in the Techno-Spiritual.

Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration
Presentation / Conference Contribution
Kalutharage, C. S., Liu, X., Chrysoulas, C., & Bamgboye, O. (2024, June). Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration. Presented at The 39th International Conference on ICT Systems Security and Privacy Protection (SEC 2024), Edinburgh

The perpetual evolution of cyberattacks, especially in the realm of Internet of Things (IoT) networks, necessitates advanced, adaptive, and intelligent defence mechanisms. The integration of expert knowledge can drastically enhance the efficacy of Io... Read More about Neurosymbolic Learning in the XAI Framework for Enhanced Cyberattack Detection with Expert Knowledge Integration.