Akademik Veri Yönetim Sistemi
International Eastern Conference on Human-Computer Interaction (IECHCI), Erzurum, Türkiye, 23 - 25 Kasım 2023, ss.158-159
Artificial intelligence (AI) is predominantly
incorporated into all domains of life and the world we live in is
increasingly shaped by Al. As a result of this widespread
integration, a growing body of research has focused on the
profound implications and consequences of Al’s integration in
different domains. Among these domains, education stands out as
an area with immense potential to influence both learners’ and
academics’ preferences, particularly as they seek assistance and
guidance in their professional and academic lives. Regarding this
influence, this ongoing study aims to investigate the extent to
which users are influenced in the decision-making process when
making choices with the help of Al tools. The participants selected
for this study are a diverse group, encompassing students and
academics who share a common interest in the field of education,
where AI is actively used. The study employs a 3-point Likert
questionnaire and a question with multiple choices on their
experiences to explore why AI-driven recommendations influence
their decision-making process. 12 education-related decision
scenarios have been presented to the participants. Task
complexity, users’ decision-making process and their trust in AI
recommendations are the key considerations of the study.
Preliminary findings suggest that users tend to exhibit a positive
attitude toward accepting Al’s recommendations, especially when
AI systems provide transparent explanations for their
recommendations and offer insights into the decision-making
process. Perceived AI competence and trustworthiness are also
predicted to strongly influence the decision-making process. These
predicted results will underline the importance of user trust in AI
tools and confirm that they are effective tools in the lives of
individuals. To sum up, as AI's influence continues to shape
decision-making environments, it is needed to unravel the
potential deficiencies in the decision-making processes, enhance
the quality of user experiences and foster their confidence. In this
sense, this study contributes significantly to our understanding of
human-AI interaction and suggests practical implications for the
design and implementation of AI systems.