  While personality traits have been extensively modeled as behavioral
constructs, we model \textbf{\textit{job hirability}} as a \emph{personality
construct}. On the {\emph{First Impressions Candidate Screening}} (FICS)
dataset, we examine relationships among personality and hirability measures.
Modeling hirability as a discrete/continuous variable with the \emph{big-five}
personality traits as predictors, we utilize (a) apparent personality
annotations, and (b) personality estimates obtained via audio, visual and
textual cues for hirability prediction (HP). We also examine the efficacy of a
two-step HP process involving (1) personality estimation from multimodal
behavioral cues, followed by (2) HP from personality estimates.
  Interesting results from experiments performed on $\approx$~5000 FICS videos
are as follows. (1) For each of the \emph{text}, \emph{audio} and \emph{visual}
modalities, HP via the above two-step process is more effective than directly
predicting from behavioral cues. Superior results are achieved when hirability
is modeled as a continuous vis-\'a-vis categorical variable. (2) Among visual
cues, eye and bodily information achieve performance comparable to face cues
for predicting personality and hirability. (3) Explanatory analyses reveal the
impact of multimodal behavior on personality impressions; \eg,
Conscientiousness impressions are impacted by the use of \emph{cuss words}
(verbal behavior), and \emph{eye movements} (non-verbal behavior), confirming
prior observations.
