Demo Data from VLDB 2026 / reviewers in the wild / expert
Jamila Smith-Loud
dblp:255/5240
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2024
0009-0007-7403-7358ORCID · reported
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 1 · 1 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
1 paper |
Human-AI interaction · 77% Design research and methods · 23% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Design research and methods › design workshops
participatory workshops |
0.2 | 1 | 2024 | How Knowledge Workers Think Generative AI Will (Not) Transform Their Industries · CHI 2024 |
Methods — techniques the papers use, named apart from their topics
qualitative analysis · 0.8participatory workshop · 0.8
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2024 | How Knowledge Workers Think Generative AI Will (Not) Transform Their IndustriesabstractGenerative AI is expected to have transformative effects in multiple knowledge industries. To better understand how knowledge workers expect generative AI may affect their industries in the future, we conducted participatory research workshops for seven different industries, with a total of 54 participants across three US cities. We describe participants’ expectations of generative AI’s impact, including a dominant narrative that cut across the groups’ discourse: participants largely envision generative AI as a tool to perform menial work, under human review. Participants do not generally anticipate the disruptive changes to knowledge industries currently projected in common media and academic narratives. Participants do however envision generative AI may amplify four social forces currently shaping their industries: deskilling, dehumanization, disconnection, and disinformation. We describe these forces, and then we provide additional detail regarding attitudes in specific knowledge industries. We conclude with a discussion of implications and research challenges for the HCI community. Allison Woodruff, Renee Shelby, Patrick Gage Kelley, Steven Rousso-Schindler, Jamila Smith-Loud, Lauren Wilcox |
CHI | 5 |