Bettina von Helversen

dblp:175/8999 · DBLP profile ↗
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14ranked-venue papers
2as first author
7since 2021 · last 2024
0000-0003-2004-6922ORCID · verified

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

Artificial intelligence and machine learning · 14 · 2 first-author · 7 since 2021Applied, interdisciplinary, general and emerging computing · 13 · 1 first-author · 7 since 2021
YearPublicationVenuePosition
2024 Framing the Exploration-Exploitation Trade-Off: Distinguishing Between Minimizing Losses and Maximizing Gains
Ludwig Danwitz, Ann-Katrin Hosch, Bettina von Helversen
CogSci3
2024 Category Learning in Context: Modelling an Assimilation Process in Self-regulated Category Learning
Ann-Katrin Hosch, Janina A. Hoffmann, Bettina von Helversen
CogSci3
2024 Reward Count(s): Negative Recency in Probabilistic Experience-Based Learning
René Schlegelmilch, Andy J. Wills, Bettina von Helversen
CogSci3
2024 Investigating Exemplar-Based Processes in Quantitative Judgments: A Multi-Method Approach
Florian Seitz, Rebecca Albrecht, Bettina von Helversen, Jörg Rieskamp, Agnes Rosner
CogSci3
2024 XOR in Order: Category Learning of Exclusive-Or in a Temporal Sequence
Vedant Biren Shah, René Schlegelmilch, Bettina von Helversen
CogSci3
2023 Understanding Speeded Categorizations and Similarity Judgments Using Computational Cognitive Modeling
Florian Seitz, Bettina von Helversen, Rebecca Albrecht, Jörg Rieskamp, Jana Jarecki
CogSci2
2023 Learning Regularity in a Sequence of Decision-Making Tasks
Vedant Biren Shah, René Schlegelmilch, Bettina von Helversen
CogSci3
2019 Modelling eye tracking dynamics with quantum theory
Agnes Rosner, Irina Basieva, Albert Barque Duran, Andreas Gloeckner, Bettina von Helversen, Andrei Yu. Khrennikov, Emmanuel M. Pothos
CogSci5
2018 Explaining Human Decision Making in Optimal Stopping Tasks
Christiane Baumann, Henrik Singmann, Vassilios E. Kaxiras, Samuel Gershman, Bettina von Helversen
CogSci5
2018 CALM - A Process Model of Category Generalization, Abstraction and Structuring
René Schlegelmilch, Andy J. Wills, Bettina von Helversen
CogSci3
2018 Influence of consumer reviews on online purchasing decisions in older and younger adults
abstract
We investigated how product attributes, average consumer ratings, and single affect-rich positive or negative consumer reviews influenced hypothetical online purchasing decisions of younger and older adults. In line with previous research, we found that younger adults used all three types of information: they clearly preferred products with better attributes and with higher average consumer ratings. If making a choice was difficult because it involved trade-offs between product attributes, most younger adults chose the higher-rated product. The preference for the higher-rated product, however, could be overridden by a single affect-rich negative or positive review. Older adults were strongly influenced by a single affect-rich negative review and also took into consideration product attributes; however, they did not take into account average consumer ratings or single affect-rich positive reviews. These results suggest that older adults do not consider aggregated consumer information and positive reviews focusing on positive experiences with the product, but are easily swayed by reviews reporting negative experiences.
Bettina von Helversen, Katarzyna Abramczuk, Wieslaw Kopec, Radoslaw Nielek
Decis. Support Syst.1
2013 Does the Influence of Stress on Financial Risk Taking Depend on the Riskiness of the Decision?
Bettina von Helversen, Jörg Rieskamp
CogSci1
2013 Blending and choosing within one mind: Should judgments be based on exemplars, rules or both?
Stefan M. Herzog, Bettina von Helversen
CogSci2
2013 How Episodic and Working Memory Affect Rule- and Memory-Based Judgments
Janina A. Hoffmann, Bettina von Helversen, Jörg Rieskamp
CogSci2