Demo Data from EDBT 2026 / reviewers in the wild / expert
Neil Horrocks
dblp:256/7906
· DBLP profile ↗
1ranked-venue papers
0as first author
1since 2021 · last 2021
—ORCID · none
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.
| Interdisciplinary, comprehensive, and emerging computing
1 paper |
Energy systems and smart grids · 100% | |
| Network and information security
1 paper |
Privacy and data protection · 100% |
Topics — the 1 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Energy systems and smart grids
demand response |
0.5 | 1 | 2021 | Neighbourhood Wattch: Using Speculative Design to Explore Values Around Curtailment and Consent in Household Energy Interactions · CHI 2021 |
Methods — techniques the papers use, named apart from their topics
values-based approach · 1.0speculative design · 1.0semi-structured interviews · 1.0
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2021 | Neighbourhood Wattch: Using Speculative Design to Explore Values Around Curtailment and Consent in Household Energy InteractionsabstractSmart energy technologies provide new opportunities for network demand management, while generating data that can provide inference into household activities and which is increasingly valuable for user profiling and targeted marketing. This paper explores the human values implicated by smart energy technologies as energy consumption emerges as a potentially sensitive and attributable data trail. Using a values-based approach involving semi-structured interviews with 39 Australians, we use speculative design to engage participants with the implications of high frequency household energy data and understand users’ values and attitudes towards curtailment, surveillance, accountability and consent. The principal contributions are (1) a nuanced understanding of user values around privacy, responsibility, trust, collectivism and curtailment in relation to interpersonal household energy use data and considerations for speculative designs in this space, and (2) reflections on the design of mechanisms for consumer participation in demand response for energy networks. Stephen Snow, Awais Hameed Khan, Mashhuda Glencross, Neil Horrocks |
CHI | 4 |