Christian Hacker
Papers
3
Total Citations
278
H-Index
3
About
Christian Hacker is a leading researcher in affective computing and human-robot interaction, with a particular focus on the automatic recognition of emotion in speech. His work is foundational in understanding how children and adults express emotions when interacting with autonomous systems. Hacker’s most influential contribution is the creation of the first cross-linguistic emotional speech corpus, derived from children interacting with the AIBO robot, as detailed in his 2004 paper “You Stupid Tin Box” (140 citations). This dataset remains a benchmark for studying spontaneous, realistic emotional expressions. He further advanced the field by developing data-driven approaches to distinguish between private emotional states and socially displayed emotions (99 citations), a critical distinction for building empathetic machines. Hacker also pioneered early work on tuning classification algorithms for real-world, noisy emotional speech, achieving a baseline classification accuracy of 44.5% for seven emotional classes (39 citations). His research has directly shaped the design of more responsive and socially aware robots, and his methodologies are widely cited in both engineering and cognitive science communities.
Research Focus
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