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This paper provides a framework for evaluating creativity in co-creative systems: those that involve computer programs collaborating with human users on creative tasks. We situate co-creative systems within a broader context of computational creativity and explain the unique qualities of these systems. We present four main questions that can guide evaluation in co-creative systems: Who is evaluating the creativity, what is being evaluated, when does evaluation occur and how the evaluation is performed. These questions provide a framework for comparing how existing co-creative systems evaluate creativity, and we apply them to examples of co-creative systems in art, humor, games and robotics. We conclude that existing co-creative systems tend to focus on evaluating the user experience. Adopting evaluation methods from autonomous creative systems may lead to co-creative systems that are self-aware and intentional.

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Recalling medical instructions provided during a doctor's visit can be difficult due to access barriers, primarily for older adults who visit doctors multiple times per year and rely on their memory to act on doctor's recommendations. There are several interventions that aid patients in recalling information after doctors' visits; however, some have been proven ineffective, and those that are effective can present additional challenges for older adults. In this paper, we explore the challenges that older adults with chronic illnesses face when collecting and recalling medical instructions from multiple doctors' visits and discuss implications for AI-assisted tools to enable older adults better access medical instructions. We interviewed 12 older adults to understand their strategies for gathering and recalling information, the challenges they face, and their opinions about automatic transcription of their conversations with doctors to help them recall information after a visit. We found that participants face accessibility challenges such as hearing information and recalling medical instructions that require additional time or follow-up with the doctor. Therefore, patients saw potential value for a tool that automatically transcribes and helps with recall of medical instructions, but desired additional features to summarize, categorize, and highlight critical information from the conversations with their doctors. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI; • Social and professional topics → Seniors.

During doctor's visits, the medical conversations shared often contain essential instructions and tailored advice necessary for daily care, particularly among older adults who manage chronic illnesses. However, some older adult patients face barriers and accessibility challenges that limits their access to shared information. Current research to improve access to instructions provided during patientphysician conversations focuses on methods such as one-to-one sessions that can be applied during the visit but are not available after the session ends. Electronic health portals provide access to some information after the visit, but many older patients fnd it challenging to navigate and access information through portals. To address the limitations of existing methods, this paper introduces a prototype called Scribe that provides older patients with access to the transcripts of medical conversations associated with multiple doctors' visits. Scribe automatically creates notes from doctors' visits that contain key information to assist individuals in navigating through information. In a study with 10 older adults, we examined Scribe's perceived usefulness for improving access to medical conversations. Findings suggest Scribe's potential to help older patients better access shared information from doctors' visits as well as support their relationships with caregivers. We contribute considerations for improving older adults future access to medical instructions using similar technologies. CCS CONCEPTS• Human-centered computing → Empirical studies in HCI; • Social and professional topics → Seniors.