activity
20242026
most citedFeeling Machines: Ethics, Culture, and the Rise of Emotional AI

10 citations · 17 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CL2026

Known-Voice Cloning and the Limits of Personality Transfer for Character Design

Johanna Magdalena Kuch, Maud van Lier, Daksitha Senel Withanage Don +3

Recent advances in zero-shot voice cloning systems make it possible to reproduce a recognizable voice from a short recording and attach it to arbitrary virtual characters. Prior wo…

cs.HC2025★ 10 cited

Feeling Machines: Ethics, Culture, and the Rise of Emotional AI

Vivek Chavan, Arsen Cenaj, Shuyuan Shen +21

This paper explores the growing presence of emotionally responsive artificial intelligence through a critical and interdisciplinary lens. Bringing together the voices of early-care…

cs.HC2024

VoiceX: A Text-To-Speech Framework for Custom Voices

Silvan Mertes, Daksitha Withanage Don, Otto Grothe +3

Modern TTS systems are capable of creating highly realistic and natural-sounding speech. Despite these developments, the process of customizing TTS voices remains a complex task, m…

cs.HC2024★ 2 cited

DISCOVER: A Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of Human Behaviour

Dominik Schiller, Tobias Hallmen, Daksitha Withanage Don +2

Understanding human behavior is a fundamental goal of social sciences, yet its analysis presents significant challenges. Conventional methodologies employed for the study of behavi…

cs.CV2024★ 5 cited

Faces of Experimental Pain: Transferability of Deep Learned Heat Pain Features to Electrical Pain

Pooja Prajod, Dominik Schiller, Daksitha Withanage Don +1

The limited size of pain datasets are a challenge in developing robust deep learning models for pain recognition. Transfer learning approaches are often employed in these scenarios…