most citedThe Dark Energy Survey Supernova Program: A Reanalysis Of Cosmology Results And Evidence For Evolving Dark Energy With An Updated Type Ia Supernova Calibration

38 citations

Showing cs.HCShow all

7 papers · 1 filter

cs.HC2026

15 Years of Augmented Human(s) Research: Where Do We Stand?

Steeven Villa, Abdallah El Ali

The Augmented Human vision broadly seeks to improve or expand baseline human functioning through the restoration or extension of physical, intellectual, and social capabilities. Ho…

cs.HC20261 cited

Beyond Words: Measuring User Experience through Speech Analysis in Voice User Interfaces

Yong Ma, Xuesong Zhang, Xuedong Zhang +5

Voice assistants (VAs) are typically evaluated through task performance metrics and self-report questionnaires, but people's voices themselves carry rich paralinguistic cues that r…

cs.HC2026

Is it Me? Toward Self-Extension to AI Avatars in Virtual Reality

Jieying Zhang, Steeven Villa, Abdallah El Ali

Advances in generative AI, speech synthesis, and embodied avatars enable systems that not only assist communication, but can act as proxies on users' behalf. Prior work in HCI has…

cs.HC2026

Who Explains Privacy Policies to Me? Embodied and Textual LLM-Powered Privacy Assistants in Virtual Reality

Vincent Freiberger, Moritz Dresch, Florian Alt +2

Virtual Reality (VR) systems collect fine-grained behavioral and biometric data, yet privacy policies are rarely read or understood due to their complex language, length, and poor…

cs.HC20262 cited

Supporting Effective Goal Setting with LLM-Based Chatbots

Michel Schimpf, Sebastian Maier, Anton Wyrowski +3

Each day, individuals set behavioral goals such as eating healthier, exercising regularly, or increasing productivity. While psychological frameworks (i.e., goal setting and implem…

cs.HC20262 cited

Anticipation Before Action: EEG-Based Implicit Intent Detection for Adaptive Gaze Interaction in Mixed Reality

Francesco Chiossi, Elnur Imamaliyev, Martin Bleichner +1

Mixed Reality (MR) interfaces increasingly rely on gaze for interaction , yet distinguishing visual attention from intentional action remains difficult, leading to the Midas Touch…