6533b86dfe1ef96bd12cab6f

RESEARCH PRODUCT

The Interplay Between Artificial Intelligence and Users’ Personalities: A New Scenario for Human-Computer Interaction in Gaming

Khaldoon DhouBarbara Caci

subject

Settore M-PSI/01 - Psicologia Generalechess personalitymedia_common.quotation_subjectContext (language use)02 engineering and technologyvirtual humanPersonality psychologycheEmpirical researchTaxonomy (general)0502 economics and business0202 electrical engineering electronic engineering information engineeringPersonalityBig Five personality traitsgamingVirtual actormedia_commonAugmented Realitybusiness.industry05 social sciences020207 software engineeringpersonality050211 marketingAugmented realityArtificial intelligencePsychologybusiness

description

The latest business reports showed that Augmented Reality (AR) and Artificial Intelligence (AI) are ranked among the top 10 strategic trends for 2018. For these reasons, in this paper, we provide an interdisciplinary focus on design and personality issues, trying to discuss the interplay between games with personality and Artificial Intelligence. First, we describe taxonomy models on personality in games and empirical studies aimed at exploring personality traits of Pokemon GO users. Second, we explore virtual humans employed in investigating chess personalities via simulating human chess players. In this research article, the term virtual human is used to describe a computer program that simulates a human in some aspects such as playing chess. The results of personality and gaming are sparse and mixed. It remains unclear whether personality traits would similarly predict adoption and usage in the context of AR mobile game. On the contrary, results about AI showed that virtual humans have characteristics similar to those of humans and helped researchers explore existing patterns in societies. In our discussion, we try to evidence the importance of personality in gaming also considering that an increasing sale for these technologies is forecasted in 2020 to be 21 times higher than in 2016 (from US $2.9 billion to US $61.3 billion; Superdata Research, 2017).

https://doi.org/10.1007/978-3-030-60128-7_45