Sayar, Deniz
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Name Variants
Sayar D.
Job Title
Email Address
deniz.sayar@ieu.edu.tr
Main Affiliation
06.03. Industrial Design
Status
Current Staff
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ORCID ID
Scopus Author ID
Turkish CoHE Profile ID
Google Scholar ID
WoS Researcher ID
Sustainable Development Goals
1NO POVERTY
0
Research Products
2ZERO HUNGER
0
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3GOOD HEALTH AND WELL-BEING
0
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4QUALITY EDUCATION
0
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5GENDER EQUALITY
0
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6CLEAN WATER AND SANITATION
0
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7AFFORDABLE AND CLEAN ENERGY
0
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8DECENT WORK AND ECONOMIC GROWTH
1
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9INDUSTRY, INNOVATION AND INFRASTRUCTURE
2
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10REDUCED INEQUALITIES
0
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11SUSTAINABLE CITIES AND COMMUNITIES
0
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12RESPONSIBLE CONSUMPTION AND PRODUCTION
0
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13CLIMATE ACTION
0
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14LIFE BELOW WATER
0
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15LIFE ON LAND
0
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16PEACE, JUSTICE AND STRONG INSTITUTIONS
1
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17PARTNERSHIPS FOR THE GOALS
0
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Documents
5
Citations
59
h-index
3
Documents
5
Citations
78
Scholarly Output
6
Articles
3
Views / Downloads
33/33
Supervised MSc Theses
0
Supervised PhD Theses
0
WoS Citation Count
78
Scopus Citation Count
59
Patents
0
Projects
2
WoS Citations per Publication
13.00
Scopus Citations per Publication
9.83
Open Access Source
3
Supervised Theses
0
| Journal | Count |
|---|---|
| Conference on Human Factors in Computing Systems - Proceedings | 1 |
| Designing Interactive Systems Conference, Dis 2023 | 1 |
| Desıgn Journal | 1 |
| Internatıonal Journal of Desıgn | 1 |
| Journal of Engineering Design | 1 |
Current Page: 1 / 2
Scopus Quartile Distribution
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6 results
Scholarly Output Search Results
Now showing 1 - 6 of 6
Conference Object Citation - WoS: 12Citation - Scopus: 23Sketching Ai Concepts With Capabilities and Examples: Ai Innovation in the Intensive Care Unit(Association for Computing Machinery, 2024-05-11) Yildirim N.; Zlotnikov S.; Sayar D.; Kahn J.M.; Bukowski L.A.; Amin S.S.; Riman K.A.; Zlotnikov, Susanna; Yildirim, Nur; Amin, Sher Shah; Kahn, Jeremy M.; Bukowski, Leigh A.; Zimmerman, John; Sayar, DenizAdvances in artificial intelligence (AI) have enabled unprecedented capabilities, yet innovation teams struggle when envisioning AI concepts. Data science teams think of innovations users do not want, while domain experts think of innovations that cannot be built. A lack of effective ideation seems to be a breakdown point. How might multidisciplinary teams identify buildable and desirable use cases? This paper presents a first hand account of ideating AI concepts to improve critical care medicine. As a team of data scientists, clinicians, and HCI researchers, we conducted a series of design workshops to explore more effective approaches to AI concept ideation and problem formulation. We detail our process, the challenges we encountered, and practices and artifacts that proved effective. We discuss the research implications for improved collaboration and stakeholder engagement, and discuss the role HCI might play in reducing the high failure rate experienced in AI innovation. © 2024 Copyright held by the owner/author(s)Article Citation - WoS: 20Citation - Scopus: 29The Antecedents of Successful Iot Service and System Design: Cases From the Manufacturing Industry(Natl Taiwan Univ Sci & Technol, 2018) Sayar, Deniz; Er, OzlemThe Internet of Things (IoT) has enabled manufacturing companies to create significant business opportunities by extending their product-based portfolios with innovative systems that integrate products, services, and customer data. While previous literature has addressed the technical characteristics and commercial benefits of these systems, more research is needed on what makes a successful IoT system design process that can be used as a guideline by designers within the context of manufacturing. This paper aims to address this gap using a comparative case study of two leading manufacturers from the aerospace and trucking industries. Based on empirical data, the commonalities and differences between the two companies are articulated. Further analysis of the cases revealed six antecedents for successful IoT service and system design: Communicating a well-articulated system design strategy, redefining frontline employee roles and responsibilities, training and recruiting service aware staff, providing guidance to customers on system use, aligning customer focus across the business, and utilizing methods/techniques for systems thinking and creativity. These antecedents are discussed in detail with evidence from two IoT system design projects. Consequently, the findings show that successful IoT implementations require more than solid product design; they also necessitate well-executed service and system design.Conference Object Citation - WoS: 40Creating Design Resources To Scaffold the Ideation of Ai Concepts(Assoc Computing Machinery, 2023-07-10) Yıldırım, Nur; Oh, Changhoon; Sayar, Deniz; Brand, Kayla; Challa, Supritha; Turri, Violet; Walton, Nina Crosby; Zimmerman, JohnAdvances in artificial intelligence have enabled unprecedented technical 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 incorporated 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 moderate AI performance creates value. We reflect on our process and discuss research implications for creating and assessing resources to systematically explore AI's problem-solution space.Conference Object Citation - WoS: 4Citation - Scopus: 6The Transformative Effects of Digital Technologies on the Product Design Practices of Servitizing Manufacturers(Routledge Journals, Taylor & Francis Ltd, 2019-04-01) Sayar, Deniz; Er, OzlemDigital technologies have enabled manufacturing companies to extend their product-based portfolios with innovative service offerings. Various aspects of this shift have been explored from a service and system design perspective. However, the transformative effects of the deployment of digital technologies on product design practices, particularly in manufacturing firms have been relatively neglected. To explore this issue, semi-structured interviews were conducted with 22 manufacturing industry experts. Four product design practices that underwent a change process as a result of digital transformation were identified: Modifying product designs to enable diverse servicing options at the outset, redefining the role of customer data in the design process, focusing on the outcomes to facilitate cocreation, and designing feedback mechanisms about the past and current product status. The articulation of these themes contribute to the design literature on the effects of digital transformation, as well as to the literature on service transitions in manufacturing firms.Article Citation - WoS: 2Citation - Scopus: 1A Design-Oriented Framework on Theory Development Around Emerging Phenomena(Taylor & Francis Ltd, 2025-05-30) Sayar, DenizDesign is increasingly encountering new questions and topics that offer exciting research opportunities, yet developing theories around emerging phenomena is challenging. These phenomena are nonlinear, ambiguous, multi-layered, and exhibit recursive adaptation. I begin by describing why and how theory development for emerging phenomena might differ from traditional approaches. I then propose an initial framework for emergence in design research focusing on four issues: positioning, structure, communication, and evaluation, and alternating between discovery and creation views. First, the framework lays the groundwork for theorising about emerging phenomena, primarily highlighting the use and integration of new technologies that alter existing paradigms. Second, it emphasises the different characteristics of building theories for emerging phenomena, presenting it as a novel pathway compared to the 'safe' territory of traditional design research approaches. A design research use case that integrates Explainable AI (XAI) into healthcare decision-making exemplifies these characteristics. Third, to evaluate such theorising, I introduce the notion of 'adaptive rigour,' which ensures that the evaluation process remains robust and credible while being flexible enough to accommodate the evolving nature of emerging phenomena. Overall, I argue that considering the concepts in the framework can open up new possibilities and help expand our discipline's knowledge development efforts.Article Service Design for the Fitness Experience: Taking Inspiration From Game Design(2012) Sayar, Deniz[No abstract available]
