Hatice Şahin

Hatice Şahin
Carl von Ossietzky Universität Oldenburg · Department of Computing Science

Master of Science
PhD candidate

About

10
Publications
869
Reads
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5
Citations
Citations since 2016
10 Research Items
5 Citations
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Additional affiliations
May 2020 - present
Carl von Ossietzky Universität Oldenburg
Position
  • PhD Student
Description
  • Acceptance and Social Interaction of Humans with Automated Vehicles
March 2020 - March 2020
October 2019 - February 2020
Carl von Ossietzky Universität Oldenburg
Position
  • Lecturer
Education
October 2017 - March 2020
Carl von Ossietzky Universität Oldenburg
Field of study
  • Neurocognitive Psychology
September 2015 - June 2016
Middlesex University, UK
Field of study
  • Psychology
January 2014 - July 2017
Yeditepe University
Field of study
  • Psychology

Publications

Publications (10)
Article
Full-text available
Recent evidence suggests that the assumed conflict-avoidant programming of autonomous vehicles will incentivize pedestrians to bully them. However, this frequent argument disregards the embedded nature of social interaction. Rule violations are socially sanctioned by different forms of social control, which could moderate the rational incentive to...
Poster
Full-text available
Poster of work in progress paper: Signalling Yielding Intent with eHMIs: the Timing Determinates an Efficient Crossing
Conference Paper
Full-text available
While different studies have investigated the different types of signals to communicate that an automated vehicle will or will not yield, the question of "when" signaling intent is contributing best to cooperation is still open. We conducted a study investigating the effects of eHMIs' signaling yielding intent to pedestrians at different times rela...
Conference Paper
Full-text available
Prosocial Behavior" means cooperating and acting in a way to benefit others. Since more and more diverse road users (such as electronic bicycles, scooters, etc.) but also vehicles at different levels of automation are sharing the safety-critical road environment, acting prosocial will become increasingly important in the future for both human and a...
Poster
Full-text available
An Exploration of Potential Factors Influencing Trust in Automated Vehicles
Chapter
Full-text available
Trust, which is one of the main components for acceptance of automated vehicles could be affected by different factors. We have investigated the influence of prior information regarding the safety of Automated Vehicles, different light conditions and the malfunction of external Human-Machine Interfaces on trust. Despite a small sample, we have foun...
Thesis
Implicit motor imagery is defined as a cognitive process where individuals perform the movements mentally without their awareness. It can be induced in mental rotation tasks such as the Hand Laterality Task (HLT). In the HLT, participants are asked to judge the laterality of the rotated hand images shown to them. The HLT has a promising use in situ...
Article
Development of a child is a complex process. There are many environmental factors influencing the child development such as education of the parents, who the caretaker is and if the child goes to kindergarten or not. In this research, we analyze the Ankara Developmental Screening Inventory results of the children along with their family variables s...

Network

Cited By

Projects

Project (1)
Project
Acceptance and Social Interaction of Humans with Automated Vehicles This project explores the acceptance and cooperation of ACPS in the safety critical domain of mobility. Soon, there will be mixed traffic scenarios in which autonomous vehicles will coexist and cooperate with human traffic participants, including pedestrians and cyclists. Many interactions in urban traffic are not or only weakly legally regulated and observed. Instead, interactions of traffic participants are embedded in established social norms and practices. In this research project, we aim to understand the role of social norms for the recursive relationship between autonomous vehicles and the behavior of human traffic participants. How will automated and autonomous vehicles change social practices of cooperating in urban traffic scenario? Which social cues in addition to the technical signals of an automated vehicle are necessary for the acceptance of autonomous vehicles in daily road traffic? To answer these questions M1 draws on theoretical insights from behavioral social science and computer science. In methodological terms, M1 implements a rigorous set of experimental designs, ranging from large-scale online experiments to VR- and field-scenarios.