Katherine B. MartinTobii Pro · Customer Success and Development
Katherine B. Martin
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Citations since 2017
23 Research Items
Subject Matter Expert in modeling human interaction from objectively measured big behavioral data to understand social, language, and emotional development. Previous and ongoing projects include autism, attachment, and preschool classrooms. Technologies utilized include eye tracking, EEG, fNIRS, LENA, Noldus Ethovision and Facereader, iMotions, Ubisense, zFace, CSIRO, Emotient, Affectiva, and Natural Language Processing machine learning techniques.
Infant attachment is a critical indicator of healthy infant social-emotional functioning, which is typically measured using the gold-standard Strange Situation Procedure (SSP). However, expert-based attachment classifications from the SSP are time-intensive (with respect both to expert training and rating), and do not provide an objective, continuo...
Although difficulties with social relationships are key to autism spectrum disorder (ASD), no previous study has examined infant attachment security prior to ASD diagnosis. We prospectively assessed attachment security at 15 months in high-risk infants with later ASD (High-Risk/ASD, n=16), high-risk infants without later ASD (High-Risk/No-ASD, n=40...
Objective To develop a protocol that will be used to measure children’s perception of secondary cleft lip deformity (SCLD) using objective eye-tracking technology. Design Cross-sectional study. Data collection May and June of 2018. Setting Single tertiary care pediatric hospital with a well-established cleft team. Participants Participants were...
Human observations can only capture a portion of ongoing classroom social activity, and are not ideal for understanding how children’s interactions are spatially structured. Here we demonstrate how social interaction can be investigated by modeling automated continuous measurements of children’s location and movement using a commercial system based...
Background Deficits in motor movement in children with autism spectrum disorder (ASD) have typically been characterized qualitatively by human observers. Although clinicians have noted the importance of atypical head positioning (e.g. social peering and repetitive head banging) when diagnosing children with ASD, a quantitative understanding of head...
According to dominant theories of affect, humans innately and universally express a set of emotions using specific configurations of prototypical facial activity. Accordingly, thousands of studies have tested emotion recognition using sets of highly intense and stereotypical facial expressions, yet their incidence in real life is virtually unknown....
Gang, R., Martin, K.B., Messinger D.S., Britton, J., Hammal, Z., Cohn, J., Cassell, J., & Ogihara, M. Temporal and frequency feature integrations for head movement pattern analysis employing time-varying spectral density estimations (October 2016). Poster presented at Neural Engineering, Coral Gables, FL, USA.
Positive emotional engagement develops in the context of face-to-face interactions during the first 6 months of life. Deficits in emotional engagement are characteristic of autism spectrum disorder (ASD) and may characterize the younger siblings of children with ASD (high-risk siblings). High-risk siblings are likely to exhibit a broad range of pos...