Mixed Reality and Metaverse: Socio-Behavioral Applications
Permanent URI for this collectionhttps://hdl.handle.net/10125/107438
Browse
Recent Submissions
Item type: Item , Behind the Veil: Exploring Anonymity's Effect in Emerging Metaverse for Mental Health Therapy(2024-01-03) Turan Akdag, Merve; Wahl, NihalThe metaverse, a virtual reality-based platform, offers unique opportunities for immersive and interactive therapeutic sessions. With the ability to remain anonymous, it enables a greater sense of openness and honesty during their therapeutic sessions. However, the impact of anonymity on patient's intention to use the metaverse for therapeutic purposes remains unclear. Thus, we conducted a quantitative study encompassing a sample of 147 participants to investigate the relationship between anonymity and the intention to use the metaverse for therapeutic sessions. The results provide insights into how anonymity influences users' attitudes and motivations regarding the use of the metaverse for therapeutic purposes. Understanding the role of anonymity may contribute to the design and implementation of more effective therapeutic interventions in the metaverse.Item type: Item , Human-AI Interaction – Is It Trust or Emotions That Mediates Behavioral Intensions?(2024-01-03) Yao, Dongdong; Holopainen, Jani; Laukkanen, TommiIn Human-Artificial Intelligence (AI) interaction research, trust is the dominating research domain. However, based on some recent evidence, trust feelings are not as holistic determinants as emotions in predicting eventual reactions. The objective of this research is to compare whether trust or emotions are better predictors for intentions in AI domain. Accordingly, the study adopts concepts of trust and emotions. The dual process theory offers a metalevel framework explaining some of our findings. The results imply that in contrast to the prevailing research domain and opinion, emotions play a more significant role in predicting intensions than trust. In addition, AI-generated negative images seem not to raise such emotions that would have any significant effect on intentions. Instead, AI-generated positive images created emotions that had significant effects. According to the previous literature, the negative cues emphasize the effects hence, our results challenge this view.Item type: Item , How Do Personality Traits Affect Consumer Decision-Making in Metaverse?(2024-01-03) Xi, Nannan; Li, Chengyuan; Bampouni, Elpida; Hamari, JuhoThere has been increased interest in new experiential dimensions generated in the new reality enabled by various extended reality (XR) technologies — The Metaverse. It is still unclear whether consumers’ decision-making processes and patterns remain the same as in the physical world. Individual factors such as personality traits may influence decision-making in the Metaverse as such factors are usually in line with technology acceptance, efficacy, and attitude. In order to understand how personality traits influence consumer decision-making in the Metaverse, this study conducts a between-subject experiment (N=162) related to a daily-life shopping task to investigate the interaction effects between five different personality traits and two XR technologies (AR - Augmented Reality and VR - Virtual Reality) on two goals (avoidance vs. approach) which driving decision-making. The results indicate that neither VR nor AR influence decision-making goals, while consumers with high neuroticism have higher choice confidence when making decisions in VR.Item type: Item , Introduction to the Minitrack on Mixed Reality and Metaverse: Socio-Behavioral Applications(2024-01-03) Holopainen, Jani; Cheng, Xusen; Pöyry, Essi; De Vreede, Triparna