Aaltodoc

Aaltodoc is the institutional repository of Aalto University.

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Otakaari 1 grandhall. Photo: Esa Kapila
 

Communities in DSpace

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Now showing 1 - 13 of 13

Recent Submissions

Sustainable Consumption: Political Economy of Sustainable Food. 2nd edition
(2025)
School of Electrical Engineering | D5 Oppikirja, ammatillinen käsi- tai opaskirja tai sanakirja
Kohti kestävää kulutusta: Kestävän syömisen poliittinen talous. 2. Painos
(2025)
School of Electrical Engineering | D5 Oppikirja, ammatillinen käsi- tai opaskirja tai sanakirja
Vakuumiprässin käyttö nahanmuovauksessa
(2025) Mikkola, Ilmari
 School of Arts, Design and Architecture | S harjoitus- ja seminaarityöt
Evaluating distributed intelligence and sentiment sensing in smart buildings
(2025-03-27) Nguyen, Thinh
 School of Business | Master's thesis
This thesis focuses on analyzing the market potential and delineating the adoption of distributed intelligence and sentiment sensing technologies in smart buildings. This research is a collaboration of the EU-funded SUST(AI)N project with School of Business at Aalto University. The outcomes bridge the gap between academia and industry by identifying commercial opportunities and challenges of these emerging technological innovations with smart buildings as an addressable market. This study is an application of the technology-organization-environment (TOE) framework with quantitative methods to provide a comprehensive analysis of new technologies in the target market. A survey utilizing the TOE model and 5-point Likert scale is conducted to collect expert opinions from organizations that own, manage, or develop properties. The primary end users include both commercial and institutional buildings. The empirical results suggest that distributed intelligence and sentiment sensing are beneficial to smart buildings by delivering relevant values in process efficiency, adaptability, user comfort, and cost. There is a prominent willingness among the experts to integrate these technologies in the building technical systems to realize the aforementioned benefits. The perceived trends also favour the implementation of distributed intelligence and sentiment sensing as a means of smart building transformation. On the other hand, this study reveals major obstacles that hamper the entry of these technologies to the smart building sector, for example, technical challenges, lacking top management support and resources, a need for standards and regulatory frameworks to foster technology investments. Major challenges are attributed to the fact that these technologies are currently in their infancy and hence have a limited awareness among market players. To narrow this gap, the findings highlight the wide applicability of distributed intelligence and sentiment sensing innovations to multiple aspects of smart building development.
The augmented designer: How generative AI is reshaping the role of designers
(2025-03-26) el Kordy, Jasmin
 School of Business | Master's thesis
Recent advancements in artificial intelligence (AI), particularly those focused on replicating creativity, have sparked ongoing discussions about their impact on the role of designers. At the same time, as AI becomes increasingly embedded into design solutions, the value of expertise in design is gaining greater recognition in ensuring the human-centric design of AI solutions. This thesis explores how emerging AI technologies are transforming design work, focusing on how designers collaborate with AI in the creative process and how this collaboration and the changing needs of the environment impact their roles. Drawing on qualitative interviews with 17 design professionals engaged in strategic design work, this thesis examines their perceptions and experiences with AI as well as their views on how their roles may evolve. The research reveals the diverse ways in which designers are integrating AI into their work to increase efficiency and work quality, while also highlighting the unique value that designers continue to offer, emphasising the irreplaceable aspects of human creativity and expertise in guiding development toward meaningful outcomes. The findings underline the continued significance of a problem-oriented approach, contextual awareness, and human-centred design in creating impactful and effective solutions. They also underscore the value of relational expertise in design, which manifests through collaboration and interaction. Furthermore, the study identifies key skills that design professionals must cultivate to adapt to the evolving landscape. These skills include AI literacy, interdisciplinary knowledge, and human interaction skills that are all essential for fostering effective collaboration in AI-related projects.