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Keren Henderson

dblp:319/8847 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2024
0000-0002-4770-5038ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Human-computer interaction and pervasive computing
2 papers
Human-AI interaction · 88% User interface design and tools · 12%
Computer graphics and multimedia
1 paper
Visualization and visual analytics · 77% Visual content generation and editing · 23%

Topics — the 3 heaviest of 5, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Visualization and visual analytics › visual storytelling
storyboard generation
0.812024
ReelFramer: Human-AI Co-Creation for News-to-Video Translation · CHI 2024
Human-AI interaction
human-AI co-creation
0.812024
ReelFramer: Human-AI Co-Creation for News-to-Video Translation · CHI 2024
Visual content generation and editing › image retargeting
content-aware image resizing
0.212024
ReelFramer: Human-AI Co-Creation for News-to-Video Translation · CHI 2024

Methods — techniques the papers use, named apart from their topics

user study · 2.2large language model · 0.7interviews · 0.7
YearPublicationVenuePosition
2024 ReelFramer: Human-AI Co-Creation for News-to-Video Translation
abstract
Short videos on social media are the dominant way young people consume content. News outlets aim to reach audiences through news reels—short videos conveying news—but struggle to translate traditional journalistic formats into short, entertaining videos. To translate news into social media reels, we support journalists in reframing the narrative. In literature, narrative framing is a high-level structure that shapes the overall presentation of a story. We identified three narrative framings for reels that adapt social media norms but preserve news value, each with a different balance of information and entertainment. We introduce ReelFramer, a human-AI co-creative system that helps journalists translate print articles into scripts and storyboards. ReelFramer supports exploring multiple narrative framings to find one appropriate to the story. AI suggests foundational narrative details, including characters, plot, setting, and key information. ReelFramer also supports visual framing; AI suggests character and visual detail designs before generating a full storyboard. Our studies show that narrative framing introduces the necessary diversity to translate various articles into reels, and establishing foundational details helps generate scripts that are more relevant and coherent. We also discuss the benefits of using narrative framing and foundational details in content retargeting.
Sitong Wang 0001, Samia Menon, Tao Long 0003, Keren Henderson, Dingzeyu Li, Kevin Crowston, Mark Hansen, Jeffrey V. Nickerson, Lydia B. Chilton
CHI4
2023 AngleKindling: Supporting Journalistic Angle Ideation with Large Language Models
abstract
News media often leverage documents to find ideas for stories, while being critical of the frames and narratives present. Developing angles from a document such as a press release is a cognitively taxing process, in which journalists critically examine the implicit meaning of its claims. Informed by interviews with journalists, we developed AngleKindling, an interactive tool which employs the common sense reasoning of large language models to help journalists explore angles for reporting on a press release. In a study with 12 professional journalists, we show that participants found AngleKindling significantly more helpful and less mentally demanding to use for brainstorming ideas, compared to a prior journalistic angle ideation tool. AngleKindling helped journalists deeply engage with the press release and recognize angles that were useful for multiple types of stories. From our findings, we discuss how to help journalists customize and identify promising angles, and extending AngleKindling to other knowledge-work domains.
Savvas Petridis, Nicholas Diakopoulos, Kevin Crowston, Mark Hansen, Keren Henderson, Stan Jastrzebski, Jeffrey V. Nickerson, Lydia B. Chilton
CHI5