What are the human-centered design methods?4 answersHuman-centered design methods include Extremes and Mainstreams, Journey Mapping, Co-Creation Sessions, building empathy through body mapping, using observation to gain design insights, co-designing with personalized body scans, mapping the clothing taskscape, immersive interview protocols, design cards, card sorting, affinity diagrams, and conjecture mapping. These methods aim to understand the interactions among people and elements of a system, facilitate storytelling, identify design criteria, gain design insights, and engage stakeholders in the design process. Extremes and Mainstreams is a purposive sampling method that selects individuals based on characteristics beyond demographics. Journey Mapping is a visual tool that helps individuals identify key moments and decision points during an experience. Co-Creation Sessions involve individuals contributing to the design of a solution alongside research or design team members. Body mapping, observation, and immersive interview protocols are used to build empathy and gain design insights. Design cards, card sorting, and affinity diagrams are collaborative methods for organizing stakeholders' ideas and concepts. Conjecture mapping is used to document relevant features of a learning experience and predict their outcomes.
How has human-robot interaction affected value co-creation process?5 answersHuman-robot interaction has had a significant impact on the value co-creation process. The physical embodiment of social robots allows for the study of how creative artifacts emerge from robots' actions and engagements with the material and social world, leading to the production of novel and useful artifacts. Incorporating human aspects into technology-based efforts focused on value co-creation can result in the effective utilization of collaborative robots and humanoids in smart service systems designs. The direct interaction between humans and robots influences user opinions of robot roles and value-in-use, highlighting the changing nature of service encounters and the need for marketers to promote positive interactions. Co-creation activities that enable children to express themselves and have their expressions acknowledged by the robot facilitate co-regulation and increase acceptance of the robot. In the context of full-service hotels, the perceived privacy, functional benefits, and appearance of service robots positively influence consumers' attitude towards adoption and acceptance of the robots.
What does Care mean in more-than-human design practices?5 answersCare in more-than-human design practices refers to a shift away from solely focusing on human needs and considering the needs of nonhuman entities as well. It involves recognizing the interdependence, vulnerability, and relationality that exist across human and nonhuman worlds. This approach acknowledges that humans are just one species among many and emphasizes the importance of understanding and addressing the needs of all entities involved in the design process. By adopting a more-than-human perspective, designers can develop methods and tools that consider the wellbeing of both humans and nonhumans, leading to more sustainable and inclusive design outcomes. This expanded understanding of care challenges traditional notions of autonomy and individualism, and instead highlights the interconnectedness and mutual dependence of all beings. Through more-than-human design practices, designers can contribute to creating a future that promotes the wellbeing of all entities involved, fostering a more sustainable and ethical approach to design.
How can ethical design be applied to graphic design posters?5 answersEthical design can be applied to graphic design posters by considering the social and environmental impact of the design. Designers should focus on creating designs that are useful, understandable, innovative, aesthetic, unobtrusive, honest, long-lasting, thorough to the last detail, environmentally friendly, and involve as little design as possible. They should also be aware of and follow accessibility laws and standards, and prioritize the needs of the people who will use their designs. Additionally, designers should adopt a sustainable approach by using new raw materials, applying advanced technology, and shifting from fast fashion to circular fashion. The ethical approach to design should involve considering the three pillars of sustainability: environmental, social, and economic. By critically considering the ethicality of their own practices, designers can contribute to the qualification of good design and support ethical design in the real world.
What are the values and features of human-AI collaboration in design engineering?3 answersHuman-AI collaboration in design engineering offers several values and features. The integration of AI into the design process allows for a fresh form of self-expression and communication, augmenting human creativity. AI can aid in the creative phases of design, enabling conceptual form exploration and iterative interplay between human designers and AI collaborators. The proposed Disruptive Interjector (DI) AI system encourages consideration of other possibilities, aiding in idea generation and problem-solving in a human-AI team. AI systems can be reliable teammates, helping manage the complexity of projects and establishing different types of human-AI collaboration. Different configurations of human-AI collaboration can contribute to greater trust and role clarity, emphasizing the role of work design in building trust and acceptance with technology.
How can we embed values in artificial intelligence?4 answersEmbedding values in artificial intelligence (AI) systems involves designing and incorporating ethical principles and societal concerns into the development process. This can be achieved through various methods such as the use of design principles like accountability, responsibility, and transparency (ART). AI systems are considered sociotechnical systems that consist of technical artifacts, human agents, institutions, artificial agents, and technical norms that regulate interactions. The challenges and opportunities of embedding values in AI systems are discussed, emphasizing the need for intentional design activities to embed values in these systems. Values can be unintentionally embedded in technological systems, making it difficult to observe or detect. The embedding of values becomes particularly significant when AI is used in legal technological systems, where machine learning and other AI techniques are employed. Overall, embedding values in AI systems requires a combination of technical and normative considerations, with a focus on aligning AI with instructions, intentions, preferences, and values.