415 citations · 424 across the 8 of their papers we have counts for
10 papers
Beyond AI advice -- independent aggregation boosts human-AI accuracy
Julian Berger, Pantelis P. Analytis, Ville Satopää +1
Artificial intelligence (AI) is broadly deployed as an advisor to human decision-makers: AI recommends a decision and a human accepts or rejects the advice. This approach, however,…
The hybrid confirmation tree: A robust strategy for hybrid intelligence
Julian Berger, Pantelis P. Analytis, Frederik Andersen +3
Combining human and artificial intelligence (AI) is a potentially powerful approach to boost decision accuracy. However, few such approaches exist that effectively integrate both t…
Social Influence Distorts Ratings in Online Interfaces
Marina Kontalexi, Alexandros Gelastopoulos, Pantelis P. Analytis
Theoretical work on sequential choice and large-scale experiments in online ranking and voting systems has demonstrated that social influence can have a drastic impact on social an…
The marginal majority effect: when social influence produces lock-in
Alexandros Gelastopoulos, Pantelis P. Analytis, Gaël Le Mens +1
People are influenced by the choices of others, a phenomenon observed across contexts in the social and behavioral sciences. Social influence can lock in an initial popularity adva…
A recommender network perspective on the informational value of critics and crowds
Pantelis P. Analytis, Karthikeya Kaushik, Stefan Herzog +2
How do the ratings of critics and amateurs compare and how should they be combined? Previous research has produced mixed results about the first question, while the second remains…
Ranking-based rich-get-richer processes
Pantelis P. Analytis, Alexandros Gelastopoulos, Hrvoje Stojic
We study a discrete-time Markov process , for which the distribution of the future increments depends only on the relative ranking of its components (descending…
A preference elicitation interface for collecting dense recommender datasets with rich user information
Pantelis P. Analytis, Tobias Schnabel, Stefan Herzog +2
We present an interface that can be leveraged to quickly and effortlessly elicit people's preferences for visual stimuli, such as photographs, visual art and screensavers, along wi…
Diversity of preferences can increase collective welfare in sequential exploration problems
Pantelis P. Analytis, Hrvoje Stojic, Alexandros Gelastopoulos +1
In search engines, online marketplaces and other human-computer interfaces large collectives of individuals sequentially interact with numerous alternatives of varying quality. In…
Ranking with social cues: Integrating online review scores and popularity information
Pantelis P. Analytis, Alexia Delfino, Juliane Kämmer +2
Online marketplaces, search engines, and databases employ aggregated social information to rank their content for users. Two ranking heuristics commonly implemented to order the av…
Social Influence and the Collective Dynamics of Opinion Formation
Mehdi Moussaid, Juliane E. Kaemmer, Pantelis P. Analytis +1
Social influence is the process by which individuals adapt their opinion, revise their beliefs, or change their behavior as a result of social interactions with other people. In ou…