Events
Past Event
WED@NICO SEMINAR: Shawndra Hill, Microsoft Research NYC "Television and Digital Advertising: Second Screen Response and Coordination with Sponsored Search"
Northwestern Institute on Complex Systems (NICO)
12:00 PM
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Lower Level Chambers Hall
Details
Television and Digital Advertising: Second Screen Response and Coordination with Sponsored Search
Speaker:
Shawndra Hill - Senior Researcher, Microsoft Research NYC
Talk Abstract:
We consider the potential to improve the eciency and ecacy of broader advertising eorts through cross-channel coordination. Past work has demonstrated a positive relationship between television advertising and online search activity. Here, we consider the types of devices on which search response predominantly manifests following TV advertisements, and the degree to which shifts in search activity can be used to evaluate the success of TV advertisers' targeting eorts.We leverage data on TV advertising around Microsoft Windows 10 and an Xbox app (NFL Game Day Evolution), in combination with large-scale proprietary search data from Microsoft Bing. Our ident cation strategies hinge on a combination of geographic heterogeneity in TV advertising exposure and continuous variation in the cost of TV advertisements (a proxy for TV audience size). Werst demonstrate that search response peaks within three minutes of the airing of a TV advertisement, and that this manifests primarily via second-screen mobile devices. Our estimated elasticities indicate that a 20% increase in advertising spend equates to an approximate 2.5% (3.4%) increase in search volumes for Windows 10 (the Xbox app). Second, we show that, indeed, the demographic groups targeted by TV advertisements are those most likely to respond, and we thereby demonstrate that TV ad eectiveness can be usefully measured via online search data. Third, examining sponsored search clicks in our query-level data, for queries involving brand-related keywords, we demonstrate a sign cant increase in rank-ordering effects in searches that take place in the minutes immediately following a TV advertisement, which implies a complementarity between TV and sponsored search advertisements.
Live Stream:
To join the Meeting: bluejeans.com/8474912527
To join via Browser: bluejeans.com/8474912527/browser
Time
Wednesday, November 30, 2016 at 12:00 PM - 1:00 PM
Location
Lower Level Chambers Hall Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)
Data Science Nights - MAY 2026 - Speaker: Xudong Tang, Computer Science and NICO
Northwestern Institute on Complex Systems (NICO)
5:30 PM
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M416, Technological Institute
Details
MAY MEETING: Thursday, May 28, 2026 at 5:30pm (US Central)
LOCATION:
ESAM Conference Room, Tech M416
2145 Sheridan Road, Evanston, IL 60208
AGENDA:
5:30pm - Meet and greet with refreshments
6:00pm - Talk with Xudong Tang, PhD Student, Computer Science, NICO, and the Human-AI Collaboration Lab, Northwestern University
TALK TITLE:
Human and Machine Perception of Voice Similarity
ABSTRACT:
Modern voice cloning systems generate synthetic speech that listeners frequently cannot identify as being synthetic. But a voice can sound natural without sounding like the intended person, and what determines whether a clone is heard as a particular person is an open question. Here we report a large-scale preregistered experiment in which we collected 92,239 responses from 175 participants on their perception of pairs of real recordings, voice clones, and continuously morphed voices drawn from 100 contemporary celebrities across 20 speaker groups. We find that voice clones do not reliably preserve perceived speaker identity, reducing same-speaker judgments by 12.7 percentage points even though the clones are produced by a state-of-the-art text-to-speech model, while leaving different-speaker judgments unchanged. Using continuously morphed stimuli, we find that speakers vary substantially in how much variation their perceived identity tolerates, and that this variation is not predicted by speaker demographics. Speaker embeddings account for 58.9\% (95\% CI = [55.7, 61.9]) of variance in identity judgments, which is more than acoustic features, social attributes, and clone status combined. Once all these observed features are accounted for, clone status adds no additional predictive power. These results shows that the perceptual impact of voice cloning is positional rather than categorical: we can model how listeners judge a voice by how close it falls to the perceptual boundary that defines each speaker's recognizable voice, applying the same criterion to real and synthetic speech alike.
DATA SCIENCE NIGHTS are monthly meetings featuring presentations and discussions about data-driven science and complex systems, organized by Northwestern University graduate students and scholars. Students and researchers of all levels are welcome! For more information: http://bit.ly/nico-dsn
FUTURE DATES:
Data Science Nights will return in September!
Time
Thursday, May 28, 2026 at 5:30 PM - 7:00 PM
Location
M416, Technological Institute Map
Contact
Calendar
Northwestern Institute on Complex Systems (NICO)