Filtered by themeParticipation & collaboration27 papersclear ✕

Granting Non-AI Experts Creative Control Over AI SystemsMIchelle S. Lam · 2024Many harmful behaviors and problematic deployments of AI stem from the fact that AI experts are not experts in the vast array of settings where AI is applied. Non-AI experts from these domains hold promising potential to contribute their expertise and directly design the AI systems that impact them, but they face substantial technical and efort barriers. Could we redesign AI development tools to match the language of non-technical end users? My re­ search develops novel systems allowing non-AI experts to defne AI behavior in terms of interpretable, self-defned concepts. Mono­ lithic, black-box models do not yield such control, so we introduce techniques for users to create many narrow, personalized models that they can better understand and steer. We demonstrate the success of this approach across the AI lifecycle: from designing AI objectives to evaluating AI behavior to authoring end-to-end AI systems. When non-AI experts design AI from start to fnish, they notice gaps and build solutions that AI experts could not—such as creating new feed ranking models to mitigate partisan animosity, surfacing underreported issues with content moderation models, and activating unique pockets of LLM behavior to amplify their personal writing style. Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for proft or commercial advantage and that copies bear this notice and the full citation on the frst page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). UIST Adjunct ’24, October 13–16, 2024, Pittsburgh, PA, USA © 2024 Copyright held by the owner/author(s). ACM ISBN 979-8-4007-0718-6/24/10 [https://doi.org/10.1145/3672539.3686714](https://doi.org/10.1145/3672539.3686714)

UX of AI & PersonalizationResearch Papers

Shaping Human-AI Collaboration: Varied Scafolding Levels in Co-writing with Language ModelsSomayeh Molaei · 2024Advances in language modeling have paved the way for novel human-AI co-writing experiences. This paper explores how vary­ ing levels of scafolding from large language models (LLMs) shape the co-writing process. Employing a within-subjects feld experi­ ment with a Latin square design, we asked participants (N=131) to respond to argumentative writing prompts under three randomly sequenced conditions: no AI assistance (control), next-sentence sug­ gestions (low scafolding), and next-paragraph suggestions (high scafolding). Our fndings reveal a U-shaped impact of scafold­ ing on writing quality and productivity (words/time). While low scafolding did not signifcantly improve writing quality or productivity, high scafolding led to signifcant improvements, es­ pecially benefting non-regular writers and less tech-savvy users. No signifcant cognitive burden was observed while using the scaf­ folded writing tools, but a moderate decrease in text ownership and satisfaction was noted. Our results have broad implications for the design of AI-powered writing tools, including the need for personalized scafolding mechanisms. CCS CONCEPTS • Human-centered computing → Collaborative and social computing design and evaluation methods; Empirical studies in collaborative and social computing.

UX of AI & PersonalizationResearch Papers

Creating Design Resources to Scafold the Ideation of AI ConceptsNur Yildirim · 2023Advances in artifcial intelligence have enabled unprecedented tech­ nical capabilities, yet making these advances useful in the real world remains challenging. We engaged in a Research through Design process to improve the ideation of AI products and services. We developed a design resource capturing AI capabilities based on 40 AI features commonly used across various domains. To probe its usefulness, we created a set of slides illustrating AI capabilities and asked designers to ideate AI-enabled user experiences. We also in­ corporated capabilities into our own design process to brainstorm concepts with domain experts and data scientists. Our research revealed that designers should focus on innovations where mod­ erate AI performance creates value. We refect on our process and discuss research implications for creating and assessing resources to systematically explore AI’s problem-solution space. CCS CONCEPTS • Human-centered computing → Interaction design process and methods.

UX of AI & PersonalizationResearch Papers

Designing Responsible AI: Adaptations of UX Practice to Meet Responsible AI ChallengesQiaosi Wang∗ · 2023Technology companies continue to invest in eforts to incorporate responsibility in their Artifcial Intelligence (AI) advancements, while eforts to audit and regulate AI systems expand. This shift towards Responsible AI (RAI) in the tech industry necessitates new practices and adaptations to roles—undertaken by a variety of prac­ titioners in more or less formal positions, many of whom focus on the user-centered aspects of AI. To better understand practices at the intersection of user experience (UX) and RAI, we conducted an interview study with industrial UX practitioners and RAI subject matter experts, both of whom are actively involved in addressing RAI concerns throughout the early design and development of new AI-based prototypes, demos, and products, at a large technology company. Many of the specifc practices and their associated chal­ lenges have yet to be surfaced in the literature, and distilling them ofers a critical view into how practitioners’ roles are adapting to meet present-day RAI challenges. We present and discuss three emerging practices in which RAI is being enacted and reifed in UX practitioners’ everyday work. We conclude by arguing that the emerging practices, goals, and types of expertise that surfaced in our study point to an evolution in praxis, with associated challenges that suggest important areas for further research in HCI. CCS CONCEPTS • Human-centered computing → Empirical studies in HCI;

UX of AI & PersonalizationResearch Papers

Understanding Design Collaboration Between Designers and Artificial Intelligence: A Systematic Literature ReviewYang Shi, Tian Gao et al. · 2023Recent interest in design through the artificial intelligence (AI) lens is rapidly increasing. Designers, as a special user group interacting with AI, have received more attention in the Human-Computer Interaction community. Prior work has discussed emerging challenges that persist in designing for AI. However, few systematic reviews focus on AI for design to understand how designers and AI can augment each other's complementary strengths in design collaboration. In this work, we conducted a landscape analysis of AI for design, via a systematic literature review of 93 papers. The analysis first provides a bird's eye view of overall patterns in this area. The analysis also reveals three themes interpreted from the paper corpus associated with AI for design, including AI assisting designers, designers assisting AI, and characterizing designer-AI collaboration. We discuss the implications of our findings and suggested methodological proposals to guide HCI toward research and practices that center on collaborative creativity.

UX of AI & PersonalizationResearch Papers

Tracing and Visualizing Human-ML/AI Collaborative Processes through Artifacts of Data WorkJen Rogers · 2023Automated Machine Learning (AutoML) technology can lower bar- riers in data work yet still requires human intervention to be func- tional. However, the complex and collaborative process resulting from humans and machines trading off work makes it difficult to trace what was done, by whom (or what), and when. In this research, we construct a taxonomy of data work artifacts that captures Au- toML and human processes. We present a rigorous methodology for its creation and discuss its transferability to the visual design process. We operationalize the taxonomy through the development of AutoML Trace a visual interactive sketch showing both the con- text and temporality of human-ML/AI collaboration in data work. Finally, we demonstrate the utility of our approach via a usage sce- nario with an enterprise software development team. Collectively, our research process and findings explore challenges and fruitful avenues for developing data visualization tools that interrogate the sociotechnical relationships in automated data work. Availability of Supplemental Materials: https://osf.io/3nmyj/ ?view_only=19962103d58b45d289b5c83421f48b36 This work is licensed under a Creative Commons Attribution International 4.0 License. CHI ’23, April 23–28, 2023, Hamburg, Germany © 2023 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-9421-5/23/04. https://doi.org/10.1145/3544548.3580819 CCS CONCEPTS • Human-centered computing →Visualization theory, concepts and paradigms; • Computing methodologies →Artificial intelli- gence.

UX of AI & PersonalizationResearch Papers

Collaboration with Conversational AI Assistants for UX EvaluationEmily Kuang · 2023EMILY KUANG, Golisano College of Computing and Information Sciences Rochester Institute of Technology, USA EHSAN JAHANGIRZADEH SOURE, School of Computer Science University of Waterloo, Canada MINGMING FAN∗ , Computational Media and Arts Thrust The Hong Kong University of Science and Technology (Guangzhou), China and Division of Integrative Systems and Design & Department of Computer Science and Engineering The Hong Kong University of Science and Technology, China

UX of AI & PersonalizationResearch Papers

Data in design: How big data and thick data inform design thinking projectsStefano Magistretti b, Claudio Dell'Era b · 2023Scholars and practitioners have recognized that making innovation happen today requires renewed approaches focused on agility, dynamicity, and other organizational capabilities that enable firms to cope with uncertainty and complexity. In turn, the literature has shown that design thinking is a useful methodology to cope with ill- defined and wicked problems. In this study, we address the question of the little-known role of different types of data in innovation projects characterized by ill-defined problems requiring creativity to be solved. Rooted in qualitative observation (thick data) and quantitative analyses (big data), we investigate the role of data in eight design thinking projects dealing with ill-defined and wicked problems. Our findings highlight the practical and theoretical implications of eight practices that differently make use of big and thick data, informing academics and practitioners on how different types of data are utilized in design thinking projects and the related principles and practices.

UX of AI & PersonalizationResearch Papers

A study of UX practitioners roles in designing real-world, enterprise ML systemsSabah Zdanowsk · 2022Opportunities for AI and machine learning (ML) are vast in current interactive systems development. However, comparatively little is known about how functionality for the system behind the interface is designed and how design methodologies such as user-centered de- sign have influence. This research focuses on how interdisciplinary teams that include UX practitioners design real-world enterprise ML systems outside of big technology companies. We conducted a survey with product managers, and interviews with interdisci- plinary teams and individual UX practitioners. The findings show that nontechnical UX practitioners are highly capable in designing AI/ML systems. In addition to applying UX and interaction design expertise to make decisions regarding functionality, they employ skills that aid collaboration across interdisciplinary teams. How- ever, our findings suggest existing HCI design techniques such as prototyping and simulating complexity of enterprise ML systems are insufficient. We propose adaptations to design practices and conclude that some existing research should be reconsidered. CCS CONCEPTS • Human-centered computing →Empirical studies in HCI; • Software and its engineering →Designing software.

UX of AI & PersonalizationResearch Papers

How Designers Find Their Ways in Shaping Algorithmic SystemsJeremie Poiroux · 2022Digital products and services now commonly include algorithmic personalization or recommendation features. This has raised concerns of reduced user agency and their unequal treat- ment. Previous research hence called for increasing the participation of, among others, designers in the development of these features. To achieve this, researchers have suggested the development of better educational material and tools to enable prototyping with data and machine learning models. However, previous studies also suggest designers may find other ways to impact the development and implementation of such features, for instance through collaboration with data scientists. We build on that line of inquiry, through 19 in-depth interviews with designers working in small to large international companies to investigate how they actually intervene in shaping products includ- ing algorithmic features. We outline how designers intervene at different levels of the algorithmic systems: at a technical level, for instance by providing better input data ; at an interface or infor- mation architecture level, sometimes circumventing algorithmic discussions ; or at a organizational level, re-centering the outcome of algorithmic systems around product-centric questions. Building upon these results, we discuss how supporting designers engagement and influence on algorithmic systems may not only be a problem of technical literacy and adequate tooling. But that it may also involve a better awareness of the power of interface work, and a stronger negotiation skills and power literacy to engage in strategic discussions. Key Words: Agency, Artificial intelligence, Interventions, Machine learning, Design, User expe- rience, Algorithmic systems (2024) 33:173–204 J´er´emie Poiroux et al.

UX of AI & PersonalizationResearch Papers

Human-Machine Co-Creation in the Rise of AIWai Lok Woo · 2020A note from Melanie Ooi: In this issue, Wai Lok Woo shares with us some insights into how we will evolve with the rise of artificial intelligence. It is an extremely engaging column that applies to almost all of our work in instrumentation and measurement today. I hope you will enjoy reading this as much as I did.

UX of AI & PersonalizationResearch Papers

Putting Humans in the Natural Language Processing Loop - A SurveyDongjin Choi · 2020How can we design Natural Language Process- ing (NLP) systems that learn from human feed- back? There is a growing research body of Human-in-the-loop (HITL) NLP frameworks that continuously integrate human feedback to improve the model itself. HITL NLP research is nascent but multifarious—solving various NLP problems, collecting diverse feedback from different people, and applying different methods to learn from collected feedback. We present a survey of HITL NLP work from both Machine Learning (ML) and Human- Computer Interaction (HCI) communities that highlights its short yet inspiring history, and thoroughly summarize recent frameworks fo- cusing on their tasks, goals, human interac- tions, and feedback learning methods. Finally, we discuss future directions for integrating hu- man feedback in the NLP development loop.

UX of AI & PersonalizationResearch Papers

Crowdsourcing Interface Feature Design with Bayesian OptimizationUnknown · 2019Designing novel interfaces is challenging. Designers typi- cally rely on experience or subjective judgment in the ab- sence of analytical or objective means for selecting interface parameters. We demonstrate Bayesian optimization as an ef- ficient tool for objective interface feature refinement. Specif- ically, we show that crowdsourcing paired with Bayesian optimization can rapidly and effectively assist interface de- sign across diverse deployment environments. Experiment 1 evaluates the approach on a familiar 2D interface design problem: a map search and review use case. Adding a de- gree of complexity, Experiment 2 extends Experiment 1 by switching the deployment environment to mobile-based vir- tual reality. The approach is then demonstrated as a case study for a fundamentally new and unfamiliar interaction design problem: web-based augmented reality. Finally, we show how the model generated as an outcome of the refine- ment process can be used for user simulation and queried to deliver various design insights. CCS CONCEPTS • Human-centered computing →Systems and tools for interaction design.

UX of AI & PersonalizationResearch Papers

Identifying the Intersections: User Experience + Research Scientist Collaboration in a Generative Machine Learning InterfaceClaire Kayacik, Sherol Chen et al. · 2019Creative generative machine learning interfaces are stronger when multiple actors bearing different points of view actively contribute to them. User experience (UX) research and design involvement in the creation of machine learning (ML) models help ML research scientists to more effectively identify human needs that ML models will fulfill. The People and AI Research (PAIR) group within Google developed a novel program method in which UXers are embedded into an ML research group for three months to provide a human-centered perspective on the creation of ML models. The first full-time cohort of UXers were embedded in a team of ML research scientists focused on deep generative models to assist in music composition. Here, we discuss the structure and goals of the program, challenges we faced during execution, and insights gained as a result of the process. We offer practical suggestions Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the owner/author(s). CHI’19 Extended Abstracts, May 4–9, 2019, Glasgow, Scotland UK © 2019 Copyright held by the owner/author(s). ACM ISBN 978-1-4503-5971-9/19/05. https://doi.org/10.1145/3290607.3299059 CHI 2019 Case Study CHI 2019, May 4–9, 2019, Glasgow, Scotland, UK CS09, Page 1 for how to foster communication between UX and ML research teams and recommended UX design processes for building creative generative machine learning interfaces. CCS CONCEPTS • Human-centered computing; • Human computer interaction; • Interaction paradigms; • Collaborative interaction;

UX of AI & PersonalizationResearch Papers

UX Research on Conversational Human AI interaction - A Literature Review of the ACM Digital LibraryQingxiao Zheng · 2013Early conversational agents (CAs) focused on dyadic human-AI interaction between humans and the CAs, followed by the increasing popularity of polyadic human-AI interaction, in which CAs are designed to mediate human-human interactions. CAs for polyadic interactions are unique because they encompass hybrid social interactions, i.e., human-CA, human-to-human, and human-to- group behaviors. However, research on polyadic CAs is scattered across different fields, making it challenging to identify, compare, and accumulate existing knowledge. To promote the future design of CA systems, we conducted a literature review of ACM publications and identified a set of works that conducted UX (user experience) research. We qualitatively synthesized the effects of polyadic CAs into four aspects of human-human interactions, i.e., communication, engagement, connection, and relationship maintenance. Through a mixed-method analysis of the selected polyadic and dyadic CA studies, we developed a suite of evaluation measurements on the effects. Our findings show that designing with social boundaries, such as privacy, disclosure, and identification, is crucial for ethical polyadic CAs. Future research should also advance usability testing methods and trust-building guidelines for conversational AI.

UX of AI & PersonalizationResearch Papers

COLLABORATIVE EMOTIONAL MAPPING AS A TOOL FOR URBAN MOBILITY PLANNING2021In this article, we present a framework to collect and represent people’s emotions, considering the urban mobility context of Curitiba. As a procedure, we have interviewed individuals during an intermodal challenge. The participants have described their experiences of urban mobility while using different transport modes. We have we used emojis as graphic symbols representing emotional data, once it is a modern language widely incorporated in everyday life as well as evokes a natural emotional association with the data we collected. We built an online geoinformation solution for visualising the emotional phenomenon. As a result, we found that the proposed methodology captures environmental factors as well as specific urban features triggering positive and negative/neutral emotions. Therefore, we validated the methodology of collaborative emotional mapping through volunteered geographic information, collecting and representing emotions on maps through emojis. Thus, here we argue this is a valid way to represent emotions and incorporate a modern language to maps. Based on the results and broader literature, we affirm this is a valuable alternative to increase knowledge about cities, once mapping emotions could assist urban planners in identifying variables, generating positive and negative feelings over the city space, which drives urban planning within a citizen-centred perspective.

Emotional DesignResearch Papers

Emotional Maps: Participatory Crowdsourcing of Citizens´ Perceptions of Their Urban Environment2018*Public participation and civic engagement in the urban planning process are societal trends that stretch across countries, cultures, and classes. After decades of communist regimes in the Eastern Bloc, where there was basically no civic participation, civic society in the Czech Republic began to engage in discussions with the authorities, and citizens became more active in local planning. In 1994 eleven municipalities started the Network of Healthy Cities of the Czech Republic as a platform for sharing good practices in sustainable development and local participation. In the last three years, members of the Network have used emotional mapping activities to facilitate and improve the process of participatory planning. This paper describes the timeline of development and the deployment of an emotional mapping methodology in various workshops in the Healthy Cities network. A total of forty-six emotional mapping workshops were organised in thirty-five municipalities of the Czech Republic. The paper presents the change from crayon-based maps to digital web-mapping platforms; and presents a case study of the Prague 12 district, where emotional mapping workshops were used to explore the perception of safety, among other issues.*

Emotional DesignResearch Papers

Personas and user-centered design: How can personas benefit product design processes?Tomasz Miaskiewicz, Kenneth A. Kozar · 2011This paper investigates personas, an alternative method for representing and communicating customer needs. By using a narrative, picture, and name, a persona provides product designers with a vivid representation of the design target. Numerous benefits of incorporating personas into product design approaches have been suggested, but the present literature fails to identify the most significant and universal advantages of persona use. By incorporating expert opinion through the use of Delphi methodology, this research first examines the benefits of incorporating personas into design processes. After gaining consensus on the perceived importance of the individual benefits, this paper then elaborates on the most significant benefits of persona use and needed future research on the personas method.

Emotional DesignResearch Papers

Exploring Collaboration Patterns and Strategies in Human-AI Co-creation through the Lens of Agency: A Scoping Review of the Top-tier HCI LiteratureShuning Zhang, Hui Wang et al. · 2025As Artificial Intelligence (AI) increasingly becomes an active collaborator in co-creation, understanding the distribution and dynamic of agency is paramount. The Human-Computer Interaction (HCI) perspective is crucial for this analysis, as it uniquely reveals the interaction dynamics and specific control mechanisms that dictate how agency manifests in practice. Despite this importance, a systematic synthesis mapping agency configurations and control mechanisms within the HCI/CSCW literature is lacking. Addressing this gap, we reviewed 134 papers from top-tier HCI/CSCW venues (e.g., CHI, UIST, CSCW) over the past 20 years. This review yields four primary contributions: (1) an integrated theoretical framework structuring agency patterns, control mechanisms, and interaction contexts, (2) a comprehensive operational catalog of control mechanisms detailing how agency is implemented; (3) an actionable cross-context map linking agency configurations to diverse co-creative practices; and (4) grounded implications and guidance for future CSCW research and the design of co-creative systems, addressing aspects like trust and ethics.

HCI & Adaptive InterfacesResearch Papers

DESIGN RESEARCH IN THE DIGITAL ERAIlaria Mariani · 2020The Design International series is thus born as a cultural setting for the sharing of ideas and experiences from the different fields of design, a place in which you can discover the wealth and variety of design research, where different hypotheses and different answers present themselves, in an attempt to draw up a map of Italian design, though in a continuous comparison with the world scene.

HCI & Adaptive InterfacesResearch Papers

Article Methodologies of Learning Served by Virtual Reality: A Case Study in Urban InterventionsRicardo Torres-Kompen, David Fonsec · 2019A computer-simulated reality and the human-machine interactions facilitated by computer technology and wearable computers may be used as an educational methodology that transforms the way students deal with information. This turns the learning process into a more participative and active process, which fits both the practical part of subjects and the learner’s profile, as students nowadays are more technology-savvy and familiar with current technological advances. This methodology is being used in architectural and urbanism degrees to support the design process and to help students visualize design alternatives in the context of existing environments. This paper proposes the use of virtual reality (VR) as a resource in the teaching of courses that focus on the design of urban spaces. A group of users—composed of architecture students and professionals related to the architecture field—participated in an immersing VR experience and had the opportunity to interact with the space that was being redesigned. Later, a quantitative tool was used in order to evaluate the effectiveness of virtual systems in the design of urban environments. The survey was designed using as a reference the competences required in the urbanism courses; this allowed the authors to identify positive and negative aspects in an objective way. The results prove that VR helps to expand digital abilities in complex representation and helps users in the evaluation and decision-making processes involved in the design of urban spaces.

HCI & Adaptive InterfacesResearch Papers

Virtual Urbanism: A User-Centered ApproachMónica V. Sánchez-Sepúlveda, David Fonseca-Escudero et al. · 2019The cities in which we live are changing rapidly, presenting the scenery to debate future visions of transformative designs and its impact on the city. The decisive influence of new technologies is important for the generation of a new reality from the economic, social and urban point of view. It is a challenge for organizations and society to question the status quo and experiment often. To take advantage of the changes and opportunities offered by the inclusion of digital technologies, accommodation of the digital transformation into the visualization of Urbanism is required. The interests of citizens are coming to the forefront nowadays with the awareness that a livable city does not only consist of good infrastructure and sustainable energy supply but also citizen input and feedback. The main goal of the paper is to present the use of digital transformation in processes of urban design through Virtual Reality in which specialized users can analyze, represent and transmit ideas, problems and solutions for the design of urban space. The hypothesis is based on demonstrating the following two statements: (1) the implementation of virtual gamified strategies in the field of urban design helps to critically evaluate the result of urban design, make decisions and understand the location conditions, dimensions and relationships of urban spaces thanks to enhanced visual technologies. (2) The interactive Virtual Reality system helps for the understanding of three-dimensional space and the human scale immersive perception in Virtual Reality could be a tool to defend the arguments of urban projects. The urban project we work on, promoted by the Barcelona City Council, aims to generate spaces that are designed to meet the needs of the users. The spaces are modeled virtually, intended to be an accessible environment where users (professionals related to the construction and design field) can interact –play– with, to recreate new spaces. These spaces are meant to have maximum realism, including the materials, textures, movements, and even sounds of the environment. The system is tested on the Barcelona Building Construmat Fair using a quantitative method. The data obtained from the assessment exemplify the effectiveness of virtual systems on the urban design process. The results obtained from inquiries to 79 citizens –specialized in the construction and design field –, showed that it is possible to empower Digital Transformation as Virtual Reality systems increase th

HCI & Adaptive InterfacesResearch Papers

Mapping citizens' emotions: participatory planning support system in Olomouc, Czech RepublicJiří Pánek · 2018Community mapping and emotional cartography have close links to participatory planning in the urban environment. The case study presented in this paper describes the deployment of the Emotional Maps platform for the collection and visualisation of spatial data related to the participatory planning of public space. The results (Main Map) presented are a combination of paper-based and web-map surveys. 2117 respondents from Olomouc (2% of the city’s population) marked 25,760 points, lines and polygons, and made 4801 comments. Six spatial questions were asked in the survey and four of them are presented in the attached map. The questions were related to the general attractiveness of the city, safety, satisfaction with public transport and suggestions for the future development of some areas. The outcomes of the survey served as the groundwork for the Strategic Plan of Olomouc for 2017–2023. ARTICLE HISTORY Received 24 October 2017 Revised 6 November 2018 Accepted 7 November 2018

HCI & Adaptive InterfacesResearch Papers

Virtual and Augmented Reality in Architectural Design and EducationJulie Milovanovic, Guillaume Moreau et al. · 2017Virtual Reality and Augmented Reality research in the architecture field show a variety of possible uses of systems to accompany designers, laymen and decision makers in their architectural design process. This article provides a survey of VR and AR devices among a corpus of papers selected from conferences and journals on CAAD (Computer Aided Architectural Design). A closer look at some specific research projects highlights their potentials and limits, which formalize milestones for future challenges to address. Identifying advantages and drawbacks of those devices gave us insights to propose an alternative type of system, CORAULIS, including both VR and SAR technologies, in order to support collaborative design to be implemented in a pedagogical environment.

HCI & Adaptive InterfacesResearch Papers

Interactive architectural approach (interactive architecture): An effective and adaptive process for architectural designMojtaba Parsaee, Parinaz Motealleh et al. · 2015This research attempts to offer a new approach for architectural design process that the concepts of interaction and multi-relations are being achieved through it. This approach, which is identified as an interactive architecture, suggests a process that a dynamic and mutual relation will create among all factors and parameters of design and the effects of each factor or parameters on final design will be considered. In fact, the main axis of the suggested approach is comprehensive interaction with all various aspects of design, since the design problems have multi-aspects, mostly. Thus, the final design will be resulted based on these mutual relations and it is a production which will have a maximum and optimum adaption with all factors and parameters. What makes this atti- tude more significant and crucial is the chaotic situation that is produced in architecture and urban designing of most cities especially in developing countries and leads to lack of identity in these cities. So, the interactive approach can be able to eliminate the challenges and create the fields of sustain- able architecture and urban development through an effective method. However, this process encounters to some constraints and challenges along with some potentials which are discussed in this essay. The research method is analytical-interpretative and based on qualitative analyses. ª 2015 The Authors. Production and hosting by Elsevier B.V. on behalf of Housing and Building National Research Center. This is an open access article under the CC BY-NC-ND license (http:// creativecommons.org/licenses/by-nc-nd/4.0/).

HCI & Adaptive InterfacesResearch Papers

INSPIRING ENGAGEMENT THROUGH THE USER EXPERIENCE:Lisa Joy Gumerman · 2014INSPIRING ENGAGEMENT THROUGH THE USER EXPERIENCE: A PROJECT WITH THE FORT COLLINS MUSEUM OF DISCOVERY This project focused on user experience to create a plan for a web application that would increase engagement with the audience of a local museum. With the support of the Fort Collins Museum of Discovery, the researcher performed user experience research to create an interactive feature on the museum's website that can showcase the experiences and history and science content the museum has to offer. The project was conducted using a human-centered design framework and focused on engagement and user experience. Activity theory and the user experience framework drove the method. The process started with five stakeholder interviews, then proceeded to four observation sessions, five personas, and rounds of prototyping and testing. The final deliverable to the Fort Collins Museum of Discovery was a project plan – including specific design, content and technology recommendations resulting from research and development – they can use to implement the web application on their currently existing site to increase engagement and their audience size. ii

HCI & Adaptive InterfacesResearch Papers

UTOPIA: Participatory Design from Scandinavia to the WorldYngve Sundblad · 2011Studies and design of information technology support for workplaces, especially workshop floors, office floors and hospital floors, have a strong tradition in Scandinavia, involving workplace users and their trade unions and other stakeholders. The projects emphasize the active cooperation between researchers and workers in the organizations to help improve their work situation. This tradition is analyzed in its historic perspective, starting with the roots in Norway in the early 1970s while highlighting the seminal UTOPIA project from the early 1980s. Today computer use and interaction possibilities are changing quickly with use contexts and application types radically broadening. Technology no longer consists of static tools belonging only to the workplace; it permeates work activity, homes, and everyday lives. The Scandinavian tradition of user involvement in development is facing up with the challenges of new contexts. The influence on past and current practices for international ICT system design is described and analyzed.

HCI & Adaptive InterfacesResearch Papers