Elena Simperl
Biographic Data
| ID | 7716845 |
|---|---|
| NAME | Elena Simperl |
| GIVEN NAMES | Elena |
| FAMILY NAME | Simperl |
| SIGNATURE | SIMPERL E |
| AFFILIATIONS | King's College London |
| ORCID | 0000-0003-1722-947X |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 4 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Talking datasets – Understanding data sensemaking behaviours
UX of data
This forum provides a space to engage with the challenges of designing for intelligent algorithmic experiences. We invite articles that tackle the tensions between research and practice when integrating AI and UX design. We welcome interdisciplinary debate, artful critique, forward-looking research, case studies of AI in practice, and speculative design explorations. --- Juho Kim and Henriette Cramer, Editors
Everything you always wanted to know about a dataset
Summarising data as text helps people make sense of it. It also improves data discovery, as search algorithms can match this text against keyword queries. In this paper, we explore the characteristics of text summaries of data in order to understand how meaningful summaries look like. We present two complementary studies: a data-search diary study with 69 students, which offers insight into the information needs of people searching for data; and …
Smoking gun
No abstract available
No prominent works on this page.
Everything you always wanted to know about a dataset
Summarising data as text helps people make sense of it. It also improves data discovery, as search algorithms can match this text against keyword queries. In this paper, we explore the characteristics of text summaries of data in order to understand how meaningful summaries look like. We present two complementary studies: a data-search diary study with 69 students, which offers insight into the information needs of people searching for data; and …
Smoking gun
No abstract available
Talking datasets – Understanding data sensemaking behaviours
UX of data
This forum provides a space to engage with the challenges of designing for intelligent algorithmic experiences. We invite articles that tackle the tensions between research and practice when integrating AI and UX design. We welcome interdisciplinary debate, artful critique, forward-looking research, case studies of AI in practice, and speculative design explorations. --- Juho Kim and Henriette Cramer, Editors
Computer Science (3 works) · Data science (2 works) · Crowdsourcing (1 work) · Data Quality and Management (1 work) · Data Visualization and Analytics (1 work) · Engineering (1 work) · Engineering ethics (1 work) · Epistemology (1 work) · Ethics and Social Impacts of AI (1 work) · Human–computer interaction (1 work)