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Interaction with Large Language Models (LLMs) is primarily carried out via prompting. A prompt is a natural language instruction designed to elicit certain behaviour or output from a model. In theory, natural language prompts enable…

Human-Computer Interaction · Computer Science 2024-03-15 Michael Desmond , Michelle Brachman

Human-robot collaboration is an essential research topic in artificial intelligence (AI), enabling researchers to devise cognitive AI systems and affords an intuitive means for users to interact with the robot. Of note, communication plays…

Artificial Intelligence · Computer Science 2021-08-09 Qi Wu , Cheng-Ju Wu , Yixin Zhu , Jungseock Joo

In their everyday life, the speech recognition performance of human listeners is influenced by diverse factors, such as the acoustic environment, the talker and listener positions, possibly impaired hearing, and optional hearing devices.…

Audio and Speech Processing · Electrical Eng. & Systems 2021-04-02 Marc René Schädler

3D simulated environments play a critical role in Embodied AI, but their creation requires expertise and extensive manual effort, restricting their diversity and scope. To mitigate this limitation, we present Holodeck, a system that…

In the realm of AI architectural design, the importance of prompts is becoming increasingly prominent. With advancements in artificial intelligence and large-scale model technology, more design tasks are being delegated to machine learning…

Human-Computer Interaction · Computer Science 2024-04-25 Xin Zhang , Wenwen Liu

Public speaking is an essential skill in everyone's professional or academic career. Nevertheless, honing this skill is often tricky because training in front of a mirror does not give feedback or inspire the same anxiety as present-ing in…

Human-Computer Interaction · Computer Science 2020-10-14 Diego Monteiro , Hai-Ning Liang , Hongji Li , Yu Fu , Xian Wang

Visual prompting infuses visual information into the input image to adapt models toward specific predictions and tasks. Recently, manually crafted markers such as red circles are shown to guide the model to attend to a target region on the…

Computer Vision and Pattern Recognition · Computer Science 2024-06-06 Razieh Rezaei , Masoud Jalili Sabet , Jindong Gu , Daniel Rueckert , Philip Torr , Ashkan Khakzar

Automating a factory where robots are involved is neither trivial nor cheap. Engineering the factory automation process in such a way that return of interest is maximized and risk for workers and equipment is minimized, is hence of…

Multiagent Systems · Computer Science 2022-07-21 Andrea Gatti , Viviana Mascardi

The development of embodied agents that can communicate with humans in natural language has gained increasing interest over the last years, as it facilitates the diffusion of robotic platforms in human-populated environments. As a step…

Robotics · Computer Science 2024-04-16 Roberto Bigazzi , Marcella Cornia , Silvia Cascianelli , Lorenzo Baraldi , Rita Cucchiara

Prompt engineering is a technique that involves augmenting a large pre-trained model with task-specific hints, known as prompts, to adapt the model to new tasks. Prompts can be created manually as natural language instructions or generated…

Computer Vision and Pattern Recognition · Computer Science 2023-07-25 Jindong Gu , Zhen Han , Shuo Chen , Ahmad Beirami , Bailan He , Gengyuan Zhang , Ruotong Liao , Yao Qin , Volker Tresp , Philip Torr

Humans make decisions and act alongside other humans to pursue both short-term and long-term goals. As a result of ongoing progress in areas such as computing science and automation, humans now also interact with non-human agents of varying…

Artificial Intelligence · Computer Science 2019-05-08 Patrick M. Pilarski , Andrew Butcher , Michael Johanson , Matthew M. Botvinick , Andrew Bolt , Adam S. R. Parker

Designing high-quality indoor 3D scenes is important in many practical applications, such as room planning or game development. Conventionally, this has been a time-consuming process which requires both artistic skill and familiarity with…

Computer Vision and Pattern Recognition · Computer Science 2024-07-31 Başak Melis Öcal , Maxim Tatarchenko , Sezer Karaoglu , Theo Gevers

Image generation using generative artificial intelligence has become a popular activity. However, text-to-image generation - where images are produced from typed prompts - can be less engaging in public settings since the act of typing…

Human-Computer Interaction · Computer Science 2025-02-18 Jonas Oppenlaender , Hannah Johnston , Johanna Silvennoinen , Helena Barranha

Traditional visualisation designers often start with sketches before implementation. With generative AI, these sketches can be turned into AI-generated visualisations using specific prompts. However, guiding AI to create compelling visuals…

Human-Computer Interaction · Computer Science 2024-09-04 Aron E. Owen , Jonathan C. Roberts

Personas are a valuable tool for discussing accessibility requirements in software design and development practices. However, the use of personas for accessibility-focused requirements elicitation in VR projects remains limited and is…

Human-Computer Interaction · Computer Science 2026-03-06 Yi Wang , Kexin Cheng , Xiao Liu , Chetan Arora , John Grundy , Thuong Hoang , Henry Been-Lirn Duh

Generative Artificial Intelligence systems have been developed for image, code, story, and game generation with the goal of facilitating human creativity. Recent work on neural generative systems has emphasized one particular means of…

Artificial Intelligence · Computer Science 2024-06-13 Zhiyu Lin , Upol Ehsan , Rohan Agarwal , Samihan Dani , Vidushi Vashishth , Mark Riedl

There is increased interest in using generative AI to create 3D spaces for Virtual Reality (VR) applications. However, today's models produce artificial environments, falling short of supporting collaborative tasks that benefit from…

Artificial Intelligence · Computer Science 2024-09-24 Nels Numan , Shwetha Rajaram , Balasaravanan Thoravi Kumaravel , Nicolai Marquardt , Andrew D. Wilson

Following the initial excitement, Text-to-Image (TTI) models are now being examined more critically. While much of the discourse has focused on biases and stereotypes embedded in large-scale training datasets, the sociotechnical dynamics of…

Human-Computer Interaction · Computer Science 2025-04-22 Maria-Teresa De Rosa Palmini , Eva Cetinic

Studies of Generative AI (GenAI)-assisted creative workflows have focused on individuals overcoming challenges of prompting to produce what they envisioned. When designers work in teams, how do collaboration and prompting influence each…

Human-Computer Interaction · Computer Science 2025-09-29 Yuanning Han , Ziyi Qiu , Jiale Cheng , RAY LC

Text prompt is the most common way for human-generative AI (GenAI) communication. Though convenient, it is challenging to convey fine-grained and referential intent. One promising solution is to combine text prompts with precise GUI…

Human-Computer Interaction · Computer Science 2026-02-25 Leixian Shen , Yifang Wang , Huamin Qu , Xing Xie , Haotian Li