This research paper aims to explore the knowledge gap among young designers in relation to sustainable human-computer interaction (HCI), focusing on Interaction Design, and investigating the necessary resources for designing sustainable HCI. Lack of knowledge among young designers regarding sustainable practices in digital design contributes to the overconsumption of energy, and increased carbon emissions, highlighting the need to raise awareness and bridge the knowledge gap in Sustainable Human-Computer Interaction (HCI) design among youth. Using qualitative methods, including 14 semi-structured interviews with informatics students in Jönköping, Sweden, the study identifies three main themes: Lack of Knowledge, Resource Needs, and Concerns About the Design Process. The findings highlight a limited understanding of sustainable HCI among young designers, emphasizing the significance of educational modules in sustainability within digital design. This study provides insights and recommendations for digital designers, educators, and policymakers to implement sustainable digital design practices in order to lessen environmental impact and promote sustainability within the digital world. The implications of this study include addressing the knowledge gap, fostering educational initiatives, and serving as a foundation for future research in sustainable digital design and HCI. This study addresses the challenge of motivating young designers to learn more about sustainable HCI while identifying essential resource requirements, education, design tools, eco-feedback technology, and support.

<p>  </p> <p>Heating and cooling (HC) energy use account for about 40% of the total annual energy consumption and cost of an average household in the U.S and it is significantly affected by residents’ energy-related behavior. This is particularly important for low-income residents in the U.S. who spend a larger portion of their income (i.e., about 16%) on home energy costs compared to average-income households (i.e., 4%). To address opportunities for reducing residential HC energy usage without requiring physical building upgrades, this thesis presents a new paradigm for smart and connected energy-aware communities that leverage smart eco-feedback devices and social games to engage residents in understanding and reducing their home energy use.</p> <p><br></p> <p>First, this Thesis presents a new modeling approach for personalized eco-feedback design integrated with a collaborative social game to assist residents to enhance their thermostat use while promoting community-level energy savings. The modeling framework is integrated into a cloud-based application, MySmartE, with visual (wall-mounted tablet) and voice (Alexa) user interfaces to facilitate behavioral changes in a user-centric approach. The platform is deployed in a multi-unit residential community in Fort Wayne, IN and the experimental data are used to investigate: (i) how occupants’ thermostat behaviors changed after using the MySmartE app; (ii) how users interacted with the app during the game; and (iii) how was users’ experience with the developed platform. Despite the heterogeneous characteristics of households, the results from the field study show the positive effect of the intervention in the thermostat-adjustment behaviors, which results in an increase in the indoor temperature during the cooling season compared to the baseline period. Findings from the user interaction analysis and post-experiment interviews also reveal the significant potential to nudge households’ energy conservation behaviors with the developed platform along with the challenges that should be tackled to derive long-term behavior changes. </p> <p><br></p> <p>Second, this Thesis introduces a sociotechnical modeling approach based on utility theory to reveal causal effects in human decision-making and infer attributes affecting households’ thermostat responses during an eco-feedback intervention. This modeling approach (i) is based on a utility model that quantifies residents’ preferences over indoor temperatures given decision attributes related to their thermal environment and eco-feedback and (ii) incorporates latent parameters that are inferred to determine the unique behavioral characteristics of each household. For parameter learning, a hierarchical Bayesian model is developed with a non-centered parameterization and calibrated to the field data. Based on the calibration results, the proposed model quantifies the impact of the eco-feedback on households’ thermostat-adjustment behaviors and serves as a foundation for analyzing resident behavior in connected residential communities with eco-feedback energy-saving programs.</p> <p><br></p> <p>Finally, this Thesis presents a modeling approach for investigating the decision trends of residents in goal-oriented collaborative social games while considering their decision preferences and goal achievement capabilities. The proposed approach involves a mechanism design method that derives optimal decisions by conducting counterfactual simulations given various scenarios of goal and reward sets. This modeling approach (i) re-defines utility functions to include decision attributes that reflect user preferences on the game status; (ii) calibrates the model to learn the decision preferences of the residents; (iii) simulates the decision-making process of residents by solving the Nash Equilibrium for a given set of game scenarios. The results revealed the decision trends of the residents given the various goals and rewards along with the potential goal achievement trends and the resulting variations in the marginal community utility.</p>

Sustainable development as a research topic is becoming more prevalent across different fields. From a computer science perspective sustainability can incorporate anything from how to develop low-resource-use algorithms to human-computer-interaction oriented applications for behavior change. Eco-feedback systems is the collective term for solutions that can give consumers feedback regarding the environmental impact from their product use. This thesis explores how Persuasive Systems Design (PSD) and eco-feedback can be merged for a digital context, i.e. during the use of computers and software. Two design prototypes were developed where one was considered neutral and the other had PSD applied. The prototypes were included in two separate questionnaires and distributed to capture participants' use intention and perceived persuasive potential of the different designs. Further on, the PSD prototype was used in a usability test and short interview with the intention to gather more opinions in addition to the questionnaire. The results show no significant difference in the response towards the neutral against the persuasive systems design. In total the perceived ease of use and usability score high, meaning the participants regard the design to be easy to use. The response differs greatly when it comes to usefulness and intention to use a similar system in the future. The results of this thesis give an indication of where the user interest is currently at. However, further evaluation and more research is necessary to develop stronger conclusions regarding how different users perceive eco-feedback systems.