Intergenerational co-creation using technology between grandparents and grandchildren can be challenging due to differences in technological familiarity.AI has emerged as a promising tool to support co-creative activities, offering flexibility and creative assistance, but its role in facilitating intergenerational connection remains underexplored.In this study, we conducted a user study with 29 grandparent-grandchild groups engaged in AI-supported story creation to examine how AI-assisted co-creation can foster meaningful intergenerational bonds.Our findings show that grandchildren managed the technical aspects, while grandparents contributed creative ideas and guided the storytelling.AI played a key role in structuring the activity, facilitating brainstorming, enhancing storytelling, and balancing the contributions of both generations.The process fostered mutual appreciation, with each generation recognizing the strengths of the other, leading to an engaging and cohesive co-creation process.We offer design implications for integrating AI into intergenerational co-creative activities, emphasizing how AI can enhance connection across skill levels and technological familiarity.

This study aims to identify ways to represent a conversational agent in the digital interface that can enhance older adults’ user experience focusing on both verbal (conversational form) and nonverbal factors (visual presence of conversational agent and background image). A total of 85 older adults participated in an experiment with a 2 (conversational agent: visual presence vs. no visual presence) × 2 (background image: present vs. absent) design, plus an additional condition with neither a conversational form nor manipulation of independent variables. Results highlights the importance of nonverbal factors especially environmental cues. Displaying a background image significantly increased perceived affective trust, while visual presence of the agent did not show any significant effects. Interestingly, there were interaction effects on perceived social presence, usefulness, and satisfaction. Findings also showed that using a conversational form can increase the likability, social presence, and perceived ease of use of the agent.

Novel end-user programming (EUP) tools enable on-the-fly (i.e., spontaneous, easy, and rapid) creation of interactions with robotic systems. These tools are expected to empower users in determining system behavior, although very little is understood about how end users perceive, experience, and use these systems. In this paper, we seek to address this gap by investigating end-user experience with on-the-fly robot EUP. We trained 21 end users to use an existing on-the-fly EUP tool, asked them to create robot interactions for four scenarios, and assessed their overall experience. Our findings provide insight into how these systems should be designed to better support end-user experience with on-the-fly EUP, focusing on user interaction with an automatic program synthesizer that resolves imprecise user input, the use of multimodal inputs to express user intent, and the general process of programming a robot.