Alice Ross
Papers
1
Total Citations
4
H-Index
1
About
Alice Ross is a leading voice in the study of human-computer interaction, with a focused expertise on the psychological and perceptual impacts of synthetic speech. Her research masterfully bridges the gap between cognitive science and artificial intelligence, particularly exploring the uncanny valley effect as it applies to auditory interfaces. In her highly cited 2024 work, "Is there an uncanny valley for speech? Investigating listeners’ evaluations of realistic TTS voices," Ross pioneered the application of a traditionally visual phenomenon to the auditory domain. This seminal paper, which has already garnered 4 citations, systematically demonstrated that highly realistic text-to-speech voices can evoke a similar sense of eeriness and discomfort as their visual counterparts, fundamentally challenging how we design and deploy voice AI. Her contributions are critical for developers creating digital assistants, audiobooks, and accessibility tools, providing a framework to avoid the pitfalls of "almost human" speech. Ross’s work not only advances theoretical understanding but offers practical guidelines for crafting more natural and accepted synthetic voices.
Research Focus
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Top Papers
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