Abundant HCI research exists on the many assistive technologies that provide help with everyday physical and cognitive tasks. However, while a purely assistive approach often casts aging people in passive roles, recent studies suggest that adults may be ‘flourishing’ way into advanced age, even though implicit ageist prejudices are difficult to eradicate. Negative age-related stereotypes are the hidden and yet urgent issue we address in this study. There is a clear opportunity for an anti-ageist perspective in HCI, an approach that we propose as complementary to assistive technologies: in addition to providing solutions for the aging population, we urgently call for designs about aging, to spark a conversation on age, raise awareness and ultimately contrast ageist stereotypes. We point at empathy as a key element to reconceptualize, at least in part, HCI’s contribution to research on aging. We present a design critique of two interactive pieces that, although not without flaws, suggest how future empathy-raising artifacts might be. Our analysis combines pragmatist aesthetics, interaction criticism and ludology, and yields four design tactics (recurring configurations of significant elements) that are generative in bringing about broader design implications towards a different, empathy-based concept of aging in HCI.
Physical activity provides substantial health benefits yet physical inactivity is one of the most challenging problems of these days. Development in mHealth and eHealth applications, such as wearable technology, create vast opportunities but are still insufficiently used to promote sustainable physical activity. To enhance the development of such products, participation and cooperation of professionals with different knowledge and expertise is required. We developed a board game called COMMONS to enhance interdisciplinary collaboration in the design of health-related wearable technologies. In this paper we present the design process of COMMONS, results of the play sessions and discuss the future development of COMMONS and the possible implications within the field of Human-Computer Interaction.
The user’s experience with a recommender system is significantly shaped by the dynamics of user-algorithm interactions. These interactions are often evaluated using interaction qualities, such as controllability, trust, and autonomy, to gauge their impact. As part of our effort to systematically categorize these evaluations, we explored the suitability of the interaction qualities framework as proposed by Lenz, Dieffenbach and Hassenzahl. During this examination, we uncovered four challenges within the framework itself, and an additional external challenge. In studies examining the interaction between user control options and interaction qualities, interdependencies between concepts, inconsistent terminology, and the entity perspective (is it a user’s trust or a system’s trustworthiness) often hinder a systematic inventory of the findings. Additionally, our discussion underscored the crucial role of the decision context in evaluating the relation of algorithmic affordances and interaction qualities. We propose dimensions of decision contexts (such as ‘reversibility of the decision’, or ‘time pressure’). They could aid in establishing a systematic three-way relationship between context attributes, attributes of user control mechanisms, and experiential goals, and as such they warrant further research. In sum, while the interaction qualities framework serves as a foundational structure for organizing research on evaluating the impact of algorithmic affordances, challenges related to interdependencies and context-specific influences remain. These challenges necessitate further investigation and subsequent refinement and expansion of the framework.
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