The identity design of artificial agents carries growing ethical, psychological, and cultural weight, as ubiquitous language models and diverse robotic forms are blended into everyday use. However, structured approaches to designing coherent and interpretable artificial identities remain limited. To address urgent challenges in artificial identity design, including harmful stereotypes and deceptive practices, we introduce the Identity Design (ID) Framework and an accompanying research agenda. Drawing on emerging work on artificial identity in human-robot interaction and taking an interdisciplinary perspective, we propose twelve design principles across three levels: individual (recognisability, behavioural consistency, identity continuity, memory, persistent goals), group (membership signalling, social alignment, role clarity), and societal (benevolence, artificiality, social justice, transparency). The research agenda outlines open questions around the operationalisation and measurement of identity, social dynamics, and ethical considerations for identity design. Together, they lay the groundwork for future research and responsible practice in robotic, virtual, and multi-embodied agents.

Time is increasingly researched in HCI, yet design often remains tied to normative temporal constructs, e.g., clocks and calendars. This is especially limiting in dementia contexts, where temporal experience is altered. Existing approaches largely enforce normative time and overlook futures, prioritizing the past for people with dementia. To explore how people with dementia and their partners experience time, we designed the Temporal Snapshots probe for 12 participants to reflect on temporal subjectivity across past and future moments. The probe surfaced layered narratives. Participants articulated fluid temporal associations, anchored narratives to personally meaningful moments, and situated themselves within future and past trajectories. We contribute empirical insights into how couples experience subjective time, a dual temporal lens for HCI, design directions for reframing time in dementia contexts, and methodological reflections on researching temporality. We foreground time as relational and co-constructed, challenging assumptions of linearity and fixed orientation in interaction design.

Intertemporal reflection, flexibly thinking forward and backward in time, is vital for one's future planning.Yet, cultivating intertemporal reflection about encountering difficult futures, e.g., developing a progressive cognitive condition like dementia, can be challenging.We assessed people's attitudes towards dementia following conversing with a chatbot presented as either neurotypical or simulating dementia symptoms.While neither the chatbot's presentation nor the framing of participants' future selves impacted attitudes toward dementia, it influenced participants' experiences.When framed as future selves, the chatbot evoked a strong emotional connection, leading to reflection on aging, particularly with the chatbot simulating dementia symptoms.Participants interacting with the chatbot framed as a stranger with simulated symptoms often felt frustrated, especially when they had a task-oriented mindset.Chatbots can be promising tools for prompting reflections on challenging futures, such as dementia, although their effectiveness varies due to the tensions between simulated cognitive decline and expectations for effective communication.