Judith Bauer

dblp:314/8808 · DBLP profile ↗
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1ranked-venue papers
0as first author
1since 2021 · last 2025
0009-0007-1989-5309ORCID · 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
Interaction techniques and input · 100%
Network and information security
1 paper
Privacy and data protection · 100%

Topics — the 2 heaviest of 2, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Interaction techniques and input
voice interaction
0.912025
Exploring the Impact of Modality and Speech Rate Manipulation in Voice Permission Requests - Limits of Applicability and Potential for Influencing Decision-Making · Int. J. Hum. Comput. Stud. 2025
Privacy and data protection › privacy compliance › consent
informed consent
0.312025
Exploring the Impact of Modality and Speech Rate Manipulation in Voice Permission Requests - Limits of Applicability and Potential for Influencing Decision-Making · Int. J. Hum. Comput. Stud. 2025

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

preregistered user study · 1.7
YearPublicationVenuePosition
2025 Exploring the Impact of Modality and Speech Rate Manipulation in Voice Permission Requests - Limits of Applicability and Potential for Influencing Decision-Making
abstract
As voice-enabled technologies are becoming increasingly more prevalent, voice-enabled permission requests become a crucial topic of investigation. It is yet unclear how to appropriately inform users in voice user interfaces (VUIs) about data processing practices. To understand how modality (text vs. voice) and the speech rate of the voice can influence users’ perceptions and decisions to grant permission, we conducted two preregistered studies (N = 343 and N = 594) and one pre-study, including two listening tasks to design potentially deceptive voice patterns. We found that users can distinguish between different levels of intrusiveness in the voice modality. However, they are less likely to accept voice-based permissions, pointing to cognitive problems associated with them. Moreover, we found that speech rate manipulations of action verbs “Accept” and “Decline” shifted users’ decisions towards acceptance, making the effect less controllable than predicted. This work highlights implications and design considerations for future voice-enabled permission requests.
Anna Leschanowsky, Anastasia Sergeeva, Judith Bauer, Sheetal Vijapurapu, Mateusz Dubiel
Int. J. Hum. Comput. Stud.3