Nazli Cila

Near future cities of things: addressing dilemmas through design fiction

The smart city infrastructure will soon start to include smart agents, i.e., agentic things, which co-exist and co-perform with human citizens. This near-future scenario explores the flexible types of collaborations and relationships between the human and nonhuman citizens. Drawing on current technology forecasts and AI/robotics literature, we created five fictional concepts for reflecting on themes we deem important for such collaborations: responsibility, delegation, relationship, priority, and adaptation. The promises, challenges and threats of these themes are discussed in this paper, together with the new questions that were opened up through the use of design fiction as a method.

FIT decision aid: Matching the needs of people with dementia and caregivers with products and services

Although there exist various product and services to support people with dementia in their everyday activities and challenges, people with dementia and their informal caregivers experience many unmet needs. In this paper, we present the ongoing development process of a decision aid that aims to reveal these unmet needs and match them with relevant support and care solutions. This entails investigating the needs of people with dementia and caregivers, making an inventory of the product and service solutions, co-creating the question articulation to be used in the decision aid and developing and testing three design concepts. We aim that the insights we gained from the tests will inspire interaction designers and researchers that investigate person-centered dementia care.

Look! A Healthy Neighborhood: Means to Motivate Participants in Using an App for Monitoring Community Health

Participatory data collection relies on the commitment of the participants to report data continuously, which makes providing incentives to people crucial. In this case study, we describe how we designed a web app by using different incentive mechanisms to collect participatory data for monitoring community health. The insights we gathered through evaluating the prototype in focus groups and the lessons we learned about sustaining motivation and interest are discussed in the paper. We expect that these lessons would be useful for other participatory sensing projects that aim for constant and systematic data contribution from a large group of people.