International Journal of Human-Computer Interaction

To sustain the competition and cater to the needs of tech-savvy customers, it became imperative for banks to implement AI in service delivery. In this scenario, the present study examined the factors affecting continuance intention (CI) to use AI mobile banking (AIMB) among young users by extending the technology continuance theory (TCT) with AI characters under the stimulus-organism-response framework. We surveyed 715 Gen Y and Gen Z users with AIMB experience. The collected data were analyzed using structural equation modelling. The results show that perceived anthropomorphism and intelligence significantly improve the users’ expectation confirmation and ease of use. Perceived usefulness was neither affected by AI characters nor influenced the CI. Satisfaction and attitude underlined their role in predicting CI. The effect of perceived usefulness on attitude and satisfaction, as well as confirmation on satisfaction, significantly differed between the two generations.

Despite its popularity, knowledge of the System Usability Scale’s (SUS) psychometric quality in German is limited. This article developed a positively worded German SUS version and investigated two existing versions. In a preregistered first study (N = 250), positive alternatives for negative items were evaluated using item analyses, exploratory factor analyses, and language expert suggestions. The two existing versions were also compared. A preregistered second study (N = 877) involved participants interacting with 12 websites and completing the different SUS versions to validate the new positive-only and the original versions. Analyses included item analyses, confirmatory factor analyses, correlations with related scales, and error analyses. Findings indicated that the SUS-DE-Pos, a positive version based on Rummel, performed best. Researchers should use this version or Rummel’s version if negative items are needed. Overall, this work provides validated German SUS versions, with and without negative items, addressing a critical gap for German-speaking HCI researchers and practitioners.

Children around 5 years old exhibit a strong inclination to help others. However, they show less helping behavior when others are present, which is known as the bystander effect. As social robots enter children’s lives, children’s helping behavior may also be affected by social robots. Therefore, the purpose of this study is to find out whether children also exhibit bystander effects when confronted with a distressed robot, and its underlying factors contributing to this phenomenon. Sixty participants (Mage¼ 66.10 months, SD ¼ 4.46) were randomly assigned to three conditions: alone condition, bystander condition and bystander-unavailable condition. Children’s helping behavior was observed while interacting with the robot recipient, and then they participated in an animacy interview. The results revealed that children can attribute animacy to the robot, however, in bystander condition, their helping behavior was significantly less than in other conditions when confronted with a robot recipient, mainly due to the diffusion of responsibility.

Despite the burgeoning interest in generative artificial intelligence (AI), specifically ChatGPT, little is known about the underlying user motivations and concerns that may shape technology acceptance indicators, such as post popularity and engagement on online platforms. Guided by the uses and gratifications and technology acceptance approaches, this study utilizes ecologically valid social media data to unearth user-driven topics and themes on Reddit. We extracted six key themes: utilitarian, hedonic, and social gratifications, creativity enhancement, and technical and societal concerns. Our results showed that specific topics of gratifications and concerns predicted post scores and comments in different patterns. Our findings could offer guidance for developers and policymakers, underlining the necessity for user-centric and ethically informed generative AI systems that address technological prowess and societal implications.

This study explores the impact of 360-degree virtual reality (VR) videos on simulating test anxiety in students who already experience it. Using a phenomenological design, participants answered questions about their immersion in the virtual environment, including the realism of visuals, emotional responses, and adaptation. Seven students (four girls and three boys) were selected based on specific criteria, and the collected data underwent content analysis. Findings indicate that 360-degree VR videos effectively simulated test environments, creating a strong sense of realism and immersion. Participants reported that VR exposure elicited test anxiety symptoms similar to those experienced in real tests, with emotional distress intensifying during VR sessions. Test-anxious individuals noted that VR exposure triggered stronger emotional responses compared to imagination-based scenarios. While VR exposure proved effective in evoking realistic experiences and emotions, it was not deemed superior to real-life exposure techniques. This suggests that 360-degree VR has potential as a tool for anxiety interventions.

Augmented Reality (AR) smart glasses strengthen user interaction by merging real-world visuals with digital information. This study explores the impact of wearability, usability, and social influence on the feeling of groundedness and purchase intentions for AR smart glasses moderated by privacy concerns. Text mining and PLS-SEM were employed to analyze 3,164 Amazon smart glasses online reviews. Results suggest that the feeling of groundedness is influenced by usability and social influence, while wearability showed no significant effect. Privacy concerns moderate the relationship between groundedness and purchase intentions, emphasizing the need for privacy measures to improve user trust. These findings suggest that AR smart glasses create meaningful connections for users, affecting their preferences, choices, and willingness to pay.