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Carla Jakobowsky

dblp:289/4419 · DBLP profile ↗
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2ranked-venue papers
0as first author
2since 2021 · last 2023
0009-0007-8663-1856ORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Human-computer interaction and ubiquitous computing · 2 · 2 since 2021Artificial intelligence and machine learning · 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
2 papers
Human-AI interaction · 57% Usability and user experience research · 33% Human-robot interaction · 10%

Topics — the 3 heaviest of 4, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Human-AI interaction
virtual agents
0.712023
Virtual agents aligning to their users. Lexical alignment in human-agent-interaction and its psychological effects · Int. J. Hum. Comput. Stud. 2023
Usability and user experience research
technology acceptance
0.512021
A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots · HRI 2021
Human-robot interaction › service robot
delivery robot
0.112021
A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots · HRI 2021

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

online study · 0.5
YearPublicationVenuePosition
2023 Virtual agents aligning to their users. Lexical alignment in human-agent-interaction and its psychological effects
Tania R. Nuñez, Carla Jakobowsky, Kajetan Prynda, Kirsten Bergmann, Astrid M. Rosenthal-von der Pütten
Int. J. Hum. Comput. Stud.2
2021 A Theoretical and Empirical Reflection on Technology Acceptance Models for Autonomous Delivery Robots
abstract
In this work, we provide an argument and first empirical insights that existing technology acceptance models fall short when it comes to explaining spontaneous, unplanned and unsolicited encounters between humans and delivery robots on the street. Since technology acceptance models have been defined by the technology's perceived ease of use, perceived usefulness and behavioural intention to use, they are not well suited to explain acceptance in situations in which humans meet robots without any prior intention to use. Nevertheless, acceptance of delivery robots might be a driving force for safe navigation. Thus, the concept of acceptance should not be limited to its current focus on (planned) usage. In consequence, we i) expand the understanding of technology acceptance, ii) propose the concept of Existence Acceptance for autonomous systems, and iii) explore a new model for acceptance in an online study (n = 185). Theoretical considerations hint towards the relevance of existence acceptance models for autonomous systems.
Anna Abrams 0001, Pia S. C. Dautzenberg, Carla Jakobowsky, Stefan Ladwig, Astrid M. Rosenthal-von der Pütten
HRI3