{"title":"Differential Utility: Accounting for Correlation in Performance Among Design Alternatives","authors":"Sahar Jolini, G. Hazelrigg","doi":"10.1115/detc2021-67944","DOIUrl":"https://doi.org/10.1115/detc2021-67944","url":null,"abstract":"\u0000 Recognizing expected utility as a valid design criterion, there are cases where uncertainty is such that this criterion fails to distinguish clearly between design alternatives. These cases may be characterized by broad and significantly overlapping utility probability distributions. Not uncommonly in such cases, the utility distributions of the alternatives may be highly correlated as the result of some uncertain variables being shared by the alternatives, because modeling assumptions may be the same across alternatives, or because difference information may be obtained by means of an independent source. Because expected utility is evaluated for alternatives independently, maximization of expected utility typically fails to take these correlations into account, thus failing to make use of all available design information. Correlation in expected utility across design alternatives can be taken into account only by computing the expected utility difference, namely the “differential expected utility,” between pairs of design alternatives. However, performing this calculation can present significant difficulties of which excessive computing times may be key. This paper outlines the mathematics of differential utility and presents an example case, showing how a few simplifying assumptions enabled the computations to be completed with approximately 24 hours of desktop computing time. The use of differential utility in design decision making can, in some cases, provide significant additional clarity, assuring better design choices.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"123142872","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Reducing Waste Outflow to Motivate Water Conservation","authors":"S. Halabieh, L. Shu","doi":"10.1115/detc2021-70670","DOIUrl":"https://doi.org/10.1115/detc2021-70670","url":null,"abstract":"\u0000 Resource-consumption systems can be defined by a resource inlet, a control volume where the resource is used, and a waste outlet. Specific to water, many existing conservation strategies focus on reducing the in-flow of water into a control volume. Instead, this work explores reducing waste out-flow, which causes accumulation in the control volume. This strategy aims to motivate users to reduce resource in-flow in response to accumulation in the control volume, and thus modify behavior.\u0000 To test this strategy, Amazon Mechanical Turk workers completed three randomly ordered handwashing simulations with different sink-outflow rates online. Study participants (N = 74) significantly reduced consumption of water when it accumulated quickly in the sink (p < 0.0001). Participants reduced water consumption, on average by 14% at lower outflow rates, as they decreased inflow rates to prevent sink overflow.\u0000 Many pro-environmental behavior interventions are limited in their reliance on user motivation and intention to reduce resource consumption. In contrast, the reduced-outflow intervention significantly reduced water usage (p < 0.001) of individuals, regardless of self-reported daily pro-environmental behavior. This result suggests that the developed intervention relies less on user intention. Overall results support that reducing outflow can increase sustainable user behavior when properly executed. In-person testing is discussed as future work.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"127080430","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"There Is No “I” in Team but There Is in Innovation: How Individual Attributes Impact Team Ideation and Selection Practices","authors":"Aoran Peng, Sam Hunter, Scarlett R. Miller","doi":"10.1115/detc2021-70915","DOIUrl":"https://doi.org/10.1115/detc2021-70915","url":null,"abstract":"\u0000 While teaming is a vital component of engineering, it is important to remember that there is no team without individuals and individual behavior can drive team outputs. One of these individual factors that may manifest itself at the team level is individual risk-taking attitudes, which can be impacted by personality and preferences for creativity. However, a gap exists in research on the impact of the team composition in these factors on creative outputs, as previous research has found that team composition plays a key role in team performance. The current work was developed to examine how the elevation and diversity of team personality and preferences for creativity impact the novelty and quality of ideas generated and selected by the team through a simulation study of 60,831 simulated teams. The results of this study show that the novelty and quality of ideas generated and selected can be predicted by the elevation and diversity of the simulated teams’ personality and PCS factors. In addition, it was found that the impact of the individual elevation and diversity factors can vary depending on the ideation trait (novelty and quality) and design stage (concept generation and selection). However, there was one variable that had a consistent positive impact on team behavior — the elevation of the Creative Confidence of the Simulated Team Members. These findings provide preliminary evidence on how individual attributes manifest themselves at the team level to impact team ideation and selection performances.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"59 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"116732886","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Caseysimone Ballestas, Senthil K. Chandrasegaran, Euiyoung Kim
{"title":"A Framework for Centralizing Ethics in the Design Engineering of Spatial Computing Artifacts","authors":"Caseysimone Ballestas, Senthil K. Chandrasegaran, Euiyoung Kim","doi":"10.1115/detc2021-71203","DOIUrl":"https://doi.org/10.1115/detc2021-71203","url":null,"abstract":"\u0000 Creating Spatial Computing (SComp) artifacts (including Virtual Reality, Augmented Reality, Mixed Reality, and Ambient Intelligent artifacts) is a rapidly-emerging domain in need of new design methodologies. In this paper, we examine whether and how ethics are procedurally integrated into the creations of SComp artifacts. After an introduction to terminology — including a reframed definition of Spatial Computing — findings of interviews with Spatial Computing practitioners are shared. The interviews indicated an awareness among professionals about the inordinate vulnerability of SComp artifacts, and about the need for — and the lack thereof — processes and tests to mitigate negative effects of SComp artifacts. Results from the domain expert interviews are integrated into a proposed framework: The Framework for Ethical Spatial Computing Design Engineering. Our framework serves to support researchers and practitioners in devising new methodologies unique to Spatial Computing by highlighting considerations central to the creation of ethical artifacts. The framework integrates the findings from the in-depth interview study and builds on existing models in Design Process, Methods, and Human-Computer Interaction (HCI) Research that highlight important barriers and opportunities between research and practice. It maps the three-phases journey consisted of (1) Enablers, (2) Synthesizers, and (3) SComp Artifacts. We trust that our work sheds light on considerations necessary to the creation of ethical Spatial Computing artifacts.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"116 1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128671078","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Ashish M. Chaudhari, Roshan Suresh Kumar, Daniel Selva
{"title":"Supporting Designer Learning and Performance in Design Space Exploration: A Goal-Setting Approach","authors":"Ashish M. Chaudhari, Roshan Suresh Kumar, Daniel Selva","doi":"10.1115/detc2021-71257","DOIUrl":"https://doi.org/10.1115/detc2021-71257","url":null,"abstract":"Design space exploration (DSE) is an important knowledge discovery process in the early design phase of complex systems. The outcomes of this process generally include the performance of the designs generated and designer learning. The latter broadly refers to the designer’s knowledge of the mapping between the design space and the objective space. Despite the integration of visual and data analytics in DSE, there is a lack of emphasis on a human designer’s learning as a basis for increasing the effectiveness of DSE. To address this gap, we investigate the use of goal-setting as a motivating factor to improve DSE outcomes. Previous research suggests that the goal of designing (i.e., finding good designs) and the goal of learning (i.e., learning useful knowledge) are inextricably interlinked. We test the hypothesis that giving designers an explicit goal of learning vs an explicit goal of designing generates different learning and performance outcomes, despite the two goals being interlinked. To this hypothesis, we conduct a between-subject experiment in which participants (N = 14) use a DSE tool to explore mechanical metamaterial designs. Subjects in the first conditions are incentivized to maximize the number of correct answers in learning tests administered after using the tool. Subjects in the second condition are incentivized to maximize the performance of designs they generate. The results show that the subjects with the goal of learning perform better on the learning tests, with a large but mildly significant effect. Whereas, the subjects with the designing goal generate better design performance, with a small but significant effect. This study suggests that there may exist a trade-off between the designing and learning goals, despite their interconnections, and designers can target one at the expense of the other through goal-setting.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"35 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"126521572","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Tobias Mahan, P. Saravanan, Sandeep Krishnakumar, H. Nolte, Christopher McComb, Jessica Menold
{"title":"When the Going Gets Tough: Exploring Changes in the Startup Landscape Due to the Challenges of 2020","authors":"Tobias Mahan, P. Saravanan, Sandeep Krishnakumar, H. Nolte, Christopher McComb, Jessica Menold","doi":"10.1115/detc2021-71798","DOIUrl":"https://doi.org/10.1115/detc2021-71798","url":null,"abstract":"\u0000 Crowdfunding platforms like Kickstarter provide new product developers with a novel and readily accessible platform to interact with potential customers, seek funding, and gain valuable feedback from target users. Successful startup design processes are often praised due to startups’ agility and ability to adapt to changing markets under extreme resource constraints. The COVID-19 pandemic changed the market in a number of significant ways, and publicly available data on Kickstarter provides valuable insight into the fundamental ways that product developers adapt to volatiles markets created by a global crisis. Leveraging linguistic analysis, topic modelling, k-means clustering, and principal component analysis, startup data was analyzed to identify overarching trends in startup launch campaigns across years. Specifically, this work identifies emerging trends in the Kickstarter market in 2020 to understand how external factors affect launch practices. Subtle yet significant changes in Kickstarter campaigns show that new clusters of campaigns emerged during 2020, not present in prior years, indicating that product developers adapted language to meet the needs of a changing market. Findings motivate a more thorough investigation of the relationships between startup market trends and external events to build a deeper understanding of the fundamental ways developers adapt design processes due to external stimuli.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"65 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128116864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Design Embedding: Representation Learning of Design Thinking to Cluster Design Behaviors","authors":"Molla Hafizur Rahman, Charles Xie, Zhenghui Sha","doi":"10.1115/detc2021-72406","DOIUrl":"https://doi.org/10.1115/detc2021-72406","url":null,"abstract":"\u0000 Design thinking is essential to the success of a design process as it helps achieve the design goal by guiding design decision-making. Therefore, fundamentally understanding design thinking is vital for improving design methods, tools and theories. However, interpreting design thinking is challenging because it is a cognitive process that is hidden and intangible. In this paper, we represent design thinking as an intermediate layer between human designers’ thought processes and their design behaviors. To do so, this paper first identifies five design behaviors based on the current design theories. These behaviors include design action preference, one-step sequential behavior, contextual behavior, long-term sequential behavior, and reflective thinking behavior. Next, we develop computational methods to characterize each of the design behaviors. Particularly, we use design action distribution, first-order Markov chain, Doc2Vec, bi-directional LSTM autoencoder, and time gap distribution to characterize the five design behaviors. The characterization of the design behaviors through embedding techniques is essentially a latent representation of the design thinking, and we refer to it as design embeddings. After obtaining the embedding, an X-mean clustering algorithm is adopted to each of the embeddings to cluster designers. The approach is applied to data collected from a high school solar system design challenge. The clustering results show that designers follow several design patterns according to the corresponding behavior, which corroborates the effectiveness of using design embedding for design behavior clustering. The extraction of design embedding based on the proposed approach can be useful in other design research, such as inferring design decisions, predicting design performance, and identifying design actions identification.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"27 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"134287141","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Lisa Tang, Arnav Patel, Daniel J. Sweeney, Nilanjana Banerjee, A. Thakur, Pranava Chaudhari, Rahul Kumar, J. Joshi
{"title":"Understanding Household Energy Challenges in Himalayan Communities Using Participatory Design Approaches","authors":"Lisa Tang, Arnav Patel, Daniel J. Sweeney, Nilanjana Banerjee, A. Thakur, Pranava Chaudhari, Rahul Kumar, J. Joshi","doi":"10.1115/detc2021-67972","DOIUrl":"https://doi.org/10.1115/detc2021-67972","url":null,"abstract":"\u0000 Traditional biomass-burning stoves are used for cooking and heating across the globe. These stoves generate smoke that results in household air pollution, which poses a significant risk to human health. In the past decades, there have been many efforts to promote the adoption of improved cookstove designs, but uptake of improved stoves is often slow due to high costs, inconsistent supply chains, and incompatibility with local cooking practices. This paper presents survey results from rural villages in Uttarakhand, India regarding routines and attitudes on cooking and space heating. Significant findings include the dual use of liquified petroleum gas and biomass fuels, the interconnected and seasonal nature of cooking and space heating, the cultural significance of traditional cookstoves, and the prominence of locally available materials in cookstove construction and maintenance. Comparisons of these surveys’ findings to previous investigations on energy use in the Himalayan region show many common trends, but also reveal regional differences. The paper concludes that due to the significance of culture and context in cookstove design, understanding user needs and behaviors and working with local communities are integral parts the design methodology for clean cookstoves. These results provide a case study which agrees with existing literature on the importance of participatory design in global development.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"32 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"131019969","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Challenges and Strategies in Remote Design Collaboration During Pandemic: A Case Study in Engineering Education","authors":"Élise Bélanger, C. Bartels, Jinjuan She","doi":"10.1115/detc2021-68485","DOIUrl":"https://doi.org/10.1115/detc2021-68485","url":null,"abstract":"\u0000 The COVID-19 pandemic forced college education to shift from face-to-face to online instruction. This effort is particularly challenging for freshmen and sophomore students, in engineering design projects where collaborations are needed. The study aims to qualitatively understand challenges and possible strategies revealed by students in remote design collaboration through the lens of an undergraduate-level engineering design introduction class. The authors closely observed team members’ struggles and how they handled them through bi-weekly and final reflections in a semester-long project. The challenges and strategies from 11 teams (42 students) were analyzed and implications for future engineering design education were discussed. The findings provide insights to experimentations that aim to establish a successful remote learning environment that reaches core education objectives of engineering design while also helping students adapt to a geographically distributed engineering workforce in future. The study also illustrated the usefulness of reflections as a tool to capture students’ learning dynamics.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"52 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"128809157","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Developing a Supply Chain Modeling Approach to Facilitate Ecology-Inspired Design for Sustainability and Resilience","authors":"T. Wilson, Abheek Chatterjee, A. Layton","doi":"10.1115/detc2021-70782","DOIUrl":"https://doi.org/10.1115/detc2021-70782","url":null,"abstract":"\u0000 Supply chain policies and design efforts are traditionally focused on efficiency objectives such as reducing operational costs. With the occurrence of the most devastating pandemic in decades and the continually increasing prevalence of natural disasters, this focus has been challenged, and the need to focus on supply chain resilience has become apparent. Achieving long-lasting sustainable development in supply chains requires a balance of efficiency-focused measures that enhance economic and environmental sustainability and resiliency measures. Ecological Network Analysis has revealed a unique balance between pathway efficiency and redundancy in ecosystems’ network architecture. This enables both efficient operations under normal circumstances and resilience to perturbations. This same analysis can be used to evaluate the balance of sustainability and resilience in supply chain networks, providing insights into what kind of supply chain design and policy decisions lead to more ecosystem-like architectures. This study lays the groundwork for such efforts by studying four supply chain topologies (formed by prevalent supply chain strategies) using ENA. Inventory (storage) is not well understood in the typical flow analysis used in ENA but is an essential facet of supply chain design and must be included in a supply chain analysis. This study overcomes this limitation by proposing a method to include inventory in the ENA framework. The analysis conducted revealed two significant insights: (a) the agile supply chain strategy is the most ecologically similar and (b) it is possible that there are optimal inventory levels (given partnership strategies) to utilize bio-inspiration in supply chain design.","PeriodicalId":261968,"journal":{"name":"Volume 6: 33rd International Conference on Design Theory and Methodology (DTM)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0,"publicationDate":"2021-08-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"129592608","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}