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<title>hfi=Opinnäytteet - ylempi korkeakoulututkinto (Limited access)|en=Master's theses (Limited access)|</title>
<link>http://trepo.tuni.fi:80/handle/10024/105889</link>
<description>fi=Pro gradut, Diplomityöt, Syventävät työt (lääketiede), Lisensiaatintyöt|en=Master's theses, Master's theses (medicine), Licentiate theses|</description>
<pubDate>Sat, 05 Sep 2026 11:16:08 GMT</pubDate>
<dc:date>2026-09-05T11:16:08Z</dc:date>
<item>
<title>Visual Augmentation and Multimodal Assistive Technology for People With Low Vision: A Literature-Driven Design Study</title>
<link>http://trepo.tuni.fi:80/handle/10024/239500</link>
<description>Visual Augmentation and Multimodal Assistive Technology for People With Low Vision: A Literature-Driven Design Study
Khatab, Hend
This thesis investigates how visual augmentation and multimodal assistive technology can be combined to support visual exploration for people with low vision. Existing assistive solutions either require native installation, lack real-time camera processing, or provide single capabilities in isolation; the dominant framing in the literature has been navigation rather than the more frequent everyday challenge of reading labels, identifying objects, and engaging with the visual environment in place.&#13;
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Three interlocking methods were used: a narrative literature review, Research through Design across ten development phases, and semi-structured expert interviews with three practitioners in vision science and accessibility, analysed using Braun and Clarke's thematic framework.&#13;
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The study produces three findings. A four-feature web-based prototype combining real-time contrast enhancement, AR text overlay, on-device OCR with audio output, and AI-assisted scene description is technically feasible on standard mobile browsers without installation. The deployment context creates a substantial gap between published benchmark performance and what runs reliably in a browser. The expert interviews generated a design-extending finding: scene description should support interactive targeted querying rather than exhaustive listing. The thesis contributes a working prototype, a documented design framework, and a conceptual reframing of visual augmentation as exploration rather than navigation. User testing with people with low vision is the essential next step.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<item>
<title>Innovaatiopolitiikka monitasoisessa hallintajärjestelmässä : Kriittinen analyysi innovaatiopolitiikasta Euroopan unionista maakuntiin</title>
<link>http://trepo.tuni.fi:80/handle/10024/239431</link>
<description>Innovaatiopolitiikka monitasoisessa hallintajärjestelmässä : Kriittinen analyysi innovaatiopolitiikasta Euroopan unionista maakuntiin
Leppänen, Ville
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<title>Ideal Customer Identification as BMI : In a Hardware Centric Industrial Firm</title>
<link>http://trepo.tuni.fi:80/handle/10024/239428</link>
<description>Ideal Customer Identification as BMI : In a Hardware Centric Industrial Firm
Wadatkar, Aditya
Hardware-centric industrial firms face growing pressure to transition the product-based sales models to an integrated hardware to software service offerings. A key yet under-theorised challenge in this shift is how firms identify and prioritise their Ideal customer profile (ICP) in a way that extends beyond traditional market segmentation and becomes a repeatable organisational capability for business model innovation (BMI). This thesis addresses this challenge through an interventionist case study of a manufacturing firm operating across five cooling-related application domains: HVAC, chillers, rooftop units, industrial refrigeration, and data centres.&#13;
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Grounded in value-in-use theory, dynamic capabilities (Teece, 2007), the desirable–feasible–viable (DFV) framework, and enabling management control systems (MCS), the study develops a four-dimensional conceptual framework that positions ICP identification as a strategic design problem. Empirical data was collected by conducting fifteen semi structured interviews with stakeholder and management by workshop outputs, internal documents, and observational data from an embedded intervention.&#13;
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The findings generate four key insights. First, customer value is highly application-specific: identical product capabilities yield different benefit–sacrifice trade-offs depending on context. For example, uptime and risk mitigation dominate in data centre liquid cooling, whereas cost-performance and ease of commissioning are more critical in rooftop applications. Second, ICP identification is not solely a market-facing activity but an internal organisational process requiring alignment across functions such as sales, R&amp;D, product management, operations, finance, and quality, each with distinct evaluative criteria. Third, ICP prioritisation becomes actionable only when linked to business model configuration through DFV logic, translating value drivers into assessments of desirability, feasibility (e.g., technological readiness, roadmap alignment), and viability (e.g., revenue potential, cost-to-serve). Fourth, sustained ICP imple-mentation depends on enabling MCS characterised by transparency, flexibility, repairability, and co-creation, rather than rigid and opaque control systems.&#13;
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Overall, the thesis reconceptualises ICP identification as a dynamic organisational capability embedded in sensing, seizing, and transforming processes. It contributes practical artefacts, including a value-in-use matrix, DFV-based evaluation tools, and a structured decision-support workflow, enabling firms to systematically prioritise segments where superior value can be created and captured.
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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<item>
<title>Työohjeiden visualisointi hyödyntäen 3D-suunnitteludataa</title>
<link>http://trepo.tuni.fi:80/handle/10024/239425</link>
<description>Työohjeiden visualisointi hyödyntäen 3D-suunnitteludataa
Kauhanen, Jaakko
</description>
<pubDate>Thu, 01 Jan 2026 00:00:00 GMT</pubDate>
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<dc:date>2026-01-01T00:00:00Z</dc:date>
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