Elia Gatti
Biographic Data
| ID | 7718149 |
|---|---|
| NAME | Elia Gatti |
| GIVEN NAMES | Elia |
| FAMILY NAME | Gatti |
| SIGNATURE | GATTI E |
| AFFILIATIONS | University College London |
| ORCID | 0009-0008-1675-1323 |
| VERIFIED | Yes |
| TOTAL WORKS | 3 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 3 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2017 |
| LATEST PUBLICATION YEAR | 2026 |
| H-INDEX | 0 |
TouchAI
Aligning large language models (LLMs) behaviour with human intent is critical for future AI. An important yet often overlooked aspect of this alignment is the perceptual alignment. Perceptual modalities like touch are more multifaceted and nuanced compared to other sensory modalities such as vision. This study investigates how well LLMs can understand and interpret human touch experiences by focusing on their capacity to perceive the tactile qual…
LLM-mediated domain-specific voice agents
Developing domain-specific conversational agents (CAs) has been challenged by the need for extensive domain-focused data. Recent advancements in Large Language Models (LLMs) make them a viable option as a knowledge backbone. LLMs behaviour can be enhanced through prompting, instructing them to perform downstream tasks in a zero-shot fashion (i.e. without training). To this end, we incorporated structural knowledge into prompts and used prompted L…
The how and why behind a multisensory art display
Designing multisensory experiences has always fascinated artists and scientists alike. In recent years, there has been a growing interest in multisensory experience design within the HCI community [1]. Next to advances in haptic technologies, we see novel work on olfactory and gustatory systems [2,3] and efforts in determining multisensory design spaces [4]. Moreover, artists, museum curators, and creative industries are interested in those emerg…
No prominent works on this page.
The how and why behind a multisensory art display
Designing multisensory experiences has always fascinated artists and scientists alike. In recent years, there has been a growing interest in multisensory experience design within the HCI community [1]. Next to advances in haptic technologies, we see novel work on olfactory and gustatory systems [2,3] and efforts in determining multisensory design spaces [4]. Moreover, artists, museum curators, and creative industries are interested in those emerg…
LLM-mediated domain-specific voice agents
Developing domain-specific conversational agents (CAs) has been challenged by the need for extensive domain-focused data. Recent advancements in Large Language Models (LLMs) make them a viable option as a knowledge backbone. LLMs behaviour can be enhanced through prompting, instructing them to perform downstream tasks in a zero-shot fashion (i.e. without training). To this end, we incorporated structural knowledge into prompts and used prompted L…
TouchAI
Aligning large language models (LLMs) behaviour with human intent is critical for future AI. An important yet often overlooked aspect of this alignment is the perceptual alignment. Perceptual modalities like touch are more multifaceted and nuanced compared to other sensory modalities such as vision. This study investigates how well LLMs can understand and interpret human touch experiences by focusing on their capacity to perceive the tactile qual…
Computer Science (2 works) · Tactile and Sensory Interactions (2 works) · Action Observation and Synchronization (1 work) · Advertising (1 work) · Art (1 work) · Art history (1 work) · Business (1 work) · Citation (1 work) · Communication (1 work) · Domain (mathematical analysis) (1 work)