EDBT 2026 Demo / reviewers in the wild / expert
Rachel Phinnemore
dblp:305/8500
· DBLP profile ↗
2ranked-venue papers
2as first author
2since 2021 · last 2023
0000-0003-2417-9802ORCID · corroborated
Domains — the database's venue-derived domains; a paper can count in several
Human-computer interaction and ubiquitous computing · 2 · 2 first-author · 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
1 paper |
Human-AI interaction · 50% Usability and user experience research · 50% |
Topics — the 2 heaviest of 2, each with the papers that count most for it
| Topic | Weight | Papers | Last | Evidence papers |
|---|---|---|---|---|
Usability and user experience research
scale development |
0.7 | 1 | 2023 | Creepy Assistant: Development and Validation of a Scale to Measure the Perceived Creepiness of Voice Assistants · CHI 2023 |
Human-AI interaction
voice assistants |
0.7 | 1 | 2023 | Creepy Assistant: Development and Validation of a Scale to Measure the Perceived Creepiness of Voice Assistants · CHI 2023 |
Methods — techniques the papers use, named apart from their topics
scale validation · 0.7
| Year | Publication | Venue | Position |
|---|---|---|---|
| 2023 | Creepy Assistant: Development and Validation of a Scale to Measure the Perceived Creepiness of Voice AssistantsabstractVoice assistants have afforded users rich interaction opportunities to access information and issue commands in a variety of contexts. However, some users feel uneasy or creeped out by voice assistants, leading to a decreased desire to use them. As there has yet to be a comprehensive understanding of the factors that cause users to perceive voice assistants as being creepy, this research developed an empirical scale to measure the creepiness inherent in various voice assistants. Utilizing prior scale creation methodologies, a 7-item Perceived Creepiness of Voice Assistants Scale (PCAS) was created and validated. The scale measures how creepy a new voice assistant would be for users of voice assistants. The scale was developed to ensure that researchers and designers can evaluate the next generation of voice assistants before such voice assistants are released to the wider public. Rachel Phinnemore, Mohi Reza, Blaine Lewis, Karthik Mahadevan, Bryan Wang, Michelle Annett, Daniel J. Wigdor |
CHI | 1 |
| 2021 | Happy Driver: Investigating the Effect of Mood on Preferred Style of Driving in Self-Driving CarsabstractSelf-driving cars are around the corner, yet little is known about how users of self-driving cars will react to the car’s driving style, and whether the driver’s mood affects their driving style preference. This paper explores the impact of users’ mood on driving style preference in self-driving cars. An experiment was conducted online (N=182) to investigate participants’ preference for three driving styles (conservative, moderate, aggressive) under three induced moods (calm, neutral, excited). Measures of arousal, valence, and driving satisfaction were recorded. Overall, participants scored the aggressive driving style lowest, irrespective of driver mood. Participants’ mood impacted preference, where a mismatch between driving style and mood induced prior to the driving style predicted lower driver satisfaction scores. We conclude with the design recommendation that driving styles in self-driving cars should not be overly aggressive, and drivers’ mood should be taken into consideration when designing driving styles. Rachel Phinnemore, Gabriele Cimolino, Pritam Sarkar, Ali Etemad, T. C. Nicholas Graham |
HAI | 1 |