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All Outputs (880)

Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles (2022)
Conference Proceeding
Jestin, I., Fischer, J., Galvez Trigo, M. J., Large, D. R., & Burnett, G. (2022). Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles. In CUI '22: Proceedings of the 4th Conference on Conversational User Interfaces (1-11). https://doi.org/10.1145/3543829.3543836

Voice assistants in future autonomous vehicles may play a major role in supporting the driver during periods of a transfer of control with the vehicle (handover and handback). However, little is known about the effects of different qualities of the v... Read More about Effects of Wording and Gendered Voices on Acceptability of Voice Assistants in Future Autonomous Vehicles.

Visualization of Interval Regression for Facilitating Data and Model Insight (2022)
Conference Proceeding
Kabir, S., & Wagner, C. (2022). Visualization of Interval Regression for Facilitating Data and Model Insight. In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882717

With growing significance of interval-valued data, interest in artificial intelligence methods tailored to this data type is similarly increasing across a range of application domains. Here, regression, i.e., the modelling of the association between... Read More about Visualization of Interval Regression for Facilitating Data and Model Insight.

Does Permitting Uncertain Estimates Help or Hinder the Wisdom of Crowds? (2022)
Conference Proceeding
Ellerby, Z., & Wagner, C. (2022). Does Permitting Uncertain Estimates Help or Hinder the Wisdom of Crowds?. In 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE). https://doi.org/10.1109/FUZZ-IEEE55066.2022.9882802

This paper adds to a growing body of research into the practical utility of using interval-valued (IV) response modes to efficiently capture richer quantitative data from people-e.g., through surveys. Specifically, IV responses offer a cohesive metho... Read More about Does Permitting Uncertain Estimates Help or Hinder the Wisdom of Crowds?.

An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem (2022)
Conference Proceeding
Du, X., Bai, R., Cui, T., Qu, R., & Li, J. (2022). An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem. In 2022 IEEE Congress on Evolutionary Computation (CEC). https://doi.org/10.1109/cec55065.2022.9870414

A competitive traveling salesmen problem is a variant of traveling salesman problem in that multiple agents compete with each other in visiting a number of cities. The agent who is the first one to visit a city will receive a reward. Each agent aims... Read More about An Improved Ant Colony Approach for the Competitive Traveling Salesmen Problem.

Experiencing mundane AI futures (2022)
Conference Proceeding
Pilling, M., Coulton, P., Lodge, T., Crabtreeb, A., & Chamberlain, A. (2022). Experiencing mundane AI futures. . https://doi.org/10.21606/drs.2022.283

Whilst popular visions of Artificial Intelligence (AI) are often presented through the lens of sentient machines, our lived experience of AI is more mundane and exemplified by so-called ‘smart’ products and services. Whilst this mundane reality is of... Read More about Experiencing mundane AI futures.

Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI (2022)
Conference Proceeding
Majid, S., Morriss, R., Figueredo, G., & Reeves, S. (2022). Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI. In DIS '22: Designing Interactive Systems Conference (1907-1920). https://doi.org/10.1145/3532106.3533531

Bipolar Disorder (BD) is a complex, cyclical and chronic mental illness where self-tracking is central to self-management. Mobile technology is often leveraged to support this. Limited research has investigated the everyday practices of self-tracking... Read More about Exploring self-tracking practices for those with lived experience of bipolar disorder: Learning from combined principles of Patient and Public Involvement and HCI.

Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning (2022)
Conference Proceeding
Serhan, B., Pandya, H., Kucukyilmaz, A., & Neumann, G. (2022). Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning. In IEEE International Conference on Robotics and Automation (ICRA 2022) (1513-1519). https://doi.org/10.1109/ICRA46639.2022.9811645

Efficient robotic manipulation of objects for sorting and searching often rely upon how well the objects are perceived and the available grasp poses. The challenge arises when the objects are irregular, have similar visual features (e.g., textureless... Read More about Push-to-See: Learning Non-Prehensile Manipulation to Enhance Instance Segmentation via Deep Q-Learning.

Responsible AI, SDGs, and AI Governance in Africa (2022)
Conference Proceeding
Wakunuma, K., Ogoh, G., Eke, D. O., & Akintoye, S. (2022). Responsible AI, SDGs, and AI Governance in Africa. In 2022 IST-Africa Conference (IST-Africa). https://doi.org/10.23919/IST-Africa56635.2022.9845598

More than ever before, AI is now an area of national strategic importance. This has become quite evident with the proliferation of national AI strategies since the first was launched in Canada in 2017. There is now an ever-growing body of national AI... Read More about Responsible AI, SDGs, and AI Governance in Africa.

Sensitive Pictures: Emotional Interpretation in the Museum (2022)
Conference Proceeding
Benford, S., Sundnes Løvlie, A., Ryding, K., Rajkowska, P., Bodiaj, E., Paris Darzentas, D., …Spanjevic, B. (2022). Sensitive Pictures: Emotional Interpretation in the Museum. In CHI '22: Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3502080

Museums are interested in designing emotional visitor experiences to complement traditional interpretations. HCI is interested in the relationship between Affective Computing and Affective Interaction. We describe Sensitive Pictures, an emotional vis... Read More about Sensitive Pictures: Emotional Interpretation in the Museum.

Metaverse: The Vision for the Future (2022)
Conference Proceeding
Xu, J., Papangelis, K., Dunham, J., Goncalves, J., LaLone, N. J., Chamberlain, A., …Schwartz, D. I. (2022). Metaverse: The Vision for the Future. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (1-3). https://doi.org/10.1145/3491101.3516399

In recent years, the notion of the Metaverse has become the focus of a growing body of work in the industry. However, there is no consensus on the conceptualization in academia. To date, much of this attention has revolved around technological challe... Read More about Metaverse: The Vision for the Future.

Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces (2022)
Conference Proceeding
Khemani, K. H., & Reeves, S. (2022). Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces. In CHI '22: CHI Conference on Human Factors in Computing Systems. https://doi.org/10.1145/3491102.3517623

Recent HCI research has sought to develop guidelines-'heuristics', 'best practices', 'principles' and so on-for voice user interfaces (VUI) to aid both practitioners and researchers in improving the quality of VUI-based design. However, limited resea... Read More about Unpacking Practitioners' Attitudes Towards Codifications of Design Knowledge for Voice User Interfaces.

The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation (2022)
Conference Proceeding
Parsa, S., Maior, H. A., Thumwood, A. R. E., Wilson, M. L., Hanheide, M., & Esfahani, A. G. (2022). The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation. In CHI EA '22: Extended Abstracts of the 2022 CHI Conference on Human Factors in Computing Systems (Article No.: 253). https://doi.org/10.1145/3491101.3519814

The use of human operator managed robotics, especially for safety critical work, includes a shift from physically demanding to mentally challenging work, and new techniques for Human-Robot Interaction are being developed to make teleoperation easier... Read More about The Impact of Motion Scaling and Haptic Guidance on Operators’ Workload and Performance in Teleoperation.

Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study (2022)
Conference Proceeding
Camilleri, A., Dogramadzi, S., & Caleb-Solly, P. (2022). Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study. In 2022 17th ACM/IEEE International Conference on Human-Robot Interaction (HRI 2022) (703-707). https://doi.org/10.1109/hri53351.2022.9889658

This research investigates how professional carers physically assist frail older adults. Carers were asked to discuss their approach and steps for providing safe physical assistance and highlight hazards that assistive robots would have to deal with... Read More about Learning from Carers to inform the Design of Safe Physically Assistive Robots - Insights from a Focus Group Study.

Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution (2021)
Conference Proceeding
Yuan, H., Hamzaoui, R., Neri, F., Yang, S., & Wang, T. (2022). Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution. In 2021 IEEE 23rd International Workshop on Multimedia Signal Processing (MMSP). https://doi.org/10.1109/MMSP53017.2021.9733714

In video-based point cloud compression (V-PCC), one geometry video and one color video are generated from a dynamic point cloud. Then, the two videos are compressed independently using a state-of-the-art video coder. In the Moving Picture Experts Gro... Read More about Global Rate-distortion Optimization of Video-based Point Cloud Compression with Differential Evolution.

Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution (2021)
Conference Proceeding
Yuan, H., Hamzamoui, R., Neri, F., & Yang, S. (2021). Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution. In Image and Graphics (735-747). https://doi.org/10.1007/978-3-030-87355-4_61

The Moving Picture Experts Group (MPEG) video-based point cloud compression (V-PCC) standard encodes a dynamic point cloud by first converting it into one geometry video and one color video and then using a video coder to compress the two video seque... Read More about Model-Based Rate-Distortion Optimized Video-Based Point Cloud Compression with Differential Evolution.

Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety (2021)
Conference Proceeding
Egede, J. O., Jaiswal, S., Galvez Trigo, M. J., Price, D., Elliot, N., Nixon, N., …Valstar, M. (2021). Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety. In IVA '21: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents (52-59). https://doi.org/10.1145/3472306.3478361

Virtual human technologies are now being widely explored as therapy tools for mental health disorders including depression and anxiety. These technologies leverage the ability of the virtual agents to engage in naturalistic social interactions with a... Read More about Design and Evaluation of Virtual Human Mediated Tasks for Assessment of Depression and Anxiety.

Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study (2021)
Conference Proceeding
Egede, J., Galvez Trigo, M. J., Hazzard, A., Porcheron, M., Bodiaj, E., Fischer, J. E., …Valstar, M. (2021). Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study. In IVA '21: Proceedings of the 21st ACM International Conference on Intelligent Virtual Agents (112-119). https://doi.org/10.1145/3472306.3478350

Access to healthcare advice is crucial to promote healthy societies. Many factors shape how access might be constrained, such as economic status, education or, as the COVID-19 pandemic has shown, remote consultations with health practitioners. Our wo... Read More about Designing an Adaptive Embodied Conversational Agent for Health Literacy: a User Study.

Soma design to enhance aircraft passenger comfort (2021)
Conference Proceeding
Sharafkhani, M., Tennent, P., Argyle, E., & Cobb, S. (2021). Soma design to enhance aircraft passenger comfort

Aircraft passengers can become uncomfortable while seated because of the restricted physical space. This work aims to investigate a new strategy for designing interventions that can be used to encourage aircraft passengers to move more while seated a... Read More about Soma design to enhance aircraft passenger comfort.

Covariance Pattern Search with Eigenvalue-determined Radii (2021)
Conference Proceeding
Neri, F., & Zhou, Y. (2021). Covariance Pattern Search with Eigenvalue-determined Radii. In Proceedings of the IEEE Congress on Evolutionary Computation 2021 (335-342). https://doi.org/10.1109/CEC45853.2021.9505002

Effective implementations of Memetic Algorithms often integrate, within their design, problem-based pieces of information. When no information is known, an efficient MA can still be designed after a preliminary analysis of the problem. This approach... Read More about Covariance Pattern Search with Eigenvalue-determined Radii.

Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation (2021)
Conference Proceeding
Ly, K. T., Poozhiyil, M., Pandya, H., Neumann, G., & Kucukyilmaz, A. (2021). Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation. In 2021 30th IEEE International Conference on Robot & Human Interactive Communication (RO-MAN) (565-572). https://doi.org/10.1109/RO-MAN50785.2021.9515326

This paper presents a haptic shared control paradigm that modulates the level of robotic guidance, based on predictions of human motion intentions. The proposed method incorporates robot trajectories learned from human demonstrations and dynamically... Read More about Intent-Aware Predictive Haptic Guidance and its Application to Shared Control Teleoperation.