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Reliable AI systems only emerge through design, technological understanding and data flow know-how.","7f7f3863-c029-4637-b34c-166a8dedda81",[1368,1521,1530,1588],{"_uid":1369,"intro":1370,"content":1392,"component":386},"9db552fe-b765-43ec-8d12-0aba783fa13f",[1371],{"cta":1372,"_uid":1373,"text":1374,"headline":1381,"component":320},[],"06efcc4e-a646-4319-8ac9-83d6bab26d90",{"type":17,"content":1375},[1376],{"type":20,"attrs":1377,"content":1378},{"textAlign":22},[1379],{"text":1380,"type":26},"Let’s be honest: we see too many \"AI buttons\" retrofitted to convey an impression of digital transformation. That is cosmetics, not strategy. ",{"type":17,"content":1382},[1383],{"type":20,"attrs":1384,"content":1385},{"textAlign":22},[1386,1388],{"text":1387,"type":26},"No more ",{"text":1389,"type":26,"marks":1390},"surface AI",[1391],{"type":317},[1393,1405,1423,1432,1473],{"id":41,"_uid":1394,"content":1395,"component":385},"26d25faa-7a10-4e96-9278-7d28d3c268f0",[1396],{"_uid":1397,"text":1398,"headline":41,"component":347},"35271ae2-2452-4ff0-8624-840fffb7c79c",{"type":17,"content":1399},[1400],{"type":20,"attrs":1401,"content":1402},{"textAlign":22},[1403],{"text":1404,"type":26},"Because automation can reduce routine work, the focus is shifting from detail optimization toward scaling and systems thinking. The task of design in 2026 is to transform complexity into clarity. It's not about designing individual features or buttons, but entire ecosystems where data, AI, and humans mesh seamlessly. The question is no longer \"Can we use AI here?\" but \"Can you translate this technology into AI in a way that gives us a real competitive advantage?\"",{"id":41,"_uid":1406,"content":1407,"component":385},"1cac0f52-8753-459b-8bae-e0eab92d5673",[1408],{"_uid":1409,"text":1410,"headline":1422,"component":347},"890ad742-fcd8-408a-8ef6-b25ef70fb249",{"type":17,"content":1411},[1412,1417],{"type":20,"attrs":1413,"content":1414},{"textAlign":22},[1415],{"text":1416,"type":26},"Many companies currently fear losing ground (FOMO), which increases the risk of operating expensive, generic solutions that nobody ends up using. A generic chatbot, for example, is rarely the right solution for specific problems. As operating costs for powerful models rise, no company can afford inefficient processes.",{"type":20,"attrs":1418,"content":1419},{"textAlign":22},[1420],{"text":1421,"type":26},"Employees don't want long conversations with an AI to complete a simple task; they want tools that provide targeted support. This is where design becomes an economic discipline and a strategy. Instead of \"hype features,\" tailored solutions are needed. An AI that knows your exact processes saves time and nerves. Differentiation today is no longer created by a colorful logo, but by operational superiority and optimal customer experiences.","Acceptance as an economic success factor",{"id":41,"_uid":1424,"size":1050,"asset":1425,"intro":1431,"video":41,"component":1098,"coloredBackground":45},"1e51a0f2-d0cb-4374-a738-5d2f6e20f756",{"id":1426,"alt":1427,"name":41,"focus":41,"title":41,"source":41,"filename":1428,"copyright":41,"fieldtype":43,"meta_data":1429,"is_external_url":45},141353462010388,"Laptop mit Flussdiagramm auf Holzschreibtisch neben gestapelten 3D-Würfeln mit Drähten, Stift und Notizbuch im Vordergrund.","https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F1024x1024\u002F8094be11b6\u002Fim_flow_computer.png",{"alt":1427,"size":1430,"title":41,"source":41,"copyright":41},"1016x671",[],{"id":41,"_uid":1433,"content":1434,"component":385},"8d2ece8a-9b2b-490b-8ba2-c2ff6c7300d0",[1435],{"_uid":1436,"text":1437,"headline":1472,"component":347},"b537058b-28c8-47d8-9846-4e02f2a267ab",{"type":17,"content":1438},[1439,1444,1467],{"type":20,"attrs":1440,"content":1441},{"textAlign":22},[1442],{"text":1443,"type":26},"Design today belongs in strategy as an equal partner to tech and business. Why? Because in an AI world, the interface (the screen) is shrinking, while the complexity behind it is growing.Design no longer just shapes screens, but the invisible decisions from which the customer experience emerges:",{"type":451,"content":1445},[1446,1453,1460],{"type":454,"content":1447},[1448],{"type":20,"attrs":1449,"content":1450},{"textAlign":22},[1451],{"text":1452,"type":26},"How does the AI explain its decision?",{"type":454,"content":1454},[1455],{"type":20,"attrs":1456,"content":1457},{"textAlign":22},[1458],{"text":1459,"type":26},"When does the AI only support, and when does it act autonomously?",{"type":454,"content":1461},[1462],{"type":20,"attrs":1463,"content":1464},{"textAlign":22},[1465],{"text":1466,"type":26},"How does an \"automatic response\" feel – helpful or patronizing?",{"type":20,"attrs":1468,"content":1469},{"textAlign":22},[1470],{"text":1471,"type":26},"These are not purely technical questions; they are questions of trust. Design ensures that the product remains understandable, interpretable, and consistent, even when complex logic is working in the background.","Designing the invisible",{"id":41,"_uid":1474,"content":1475,"component":385},"41f4ce5f-d85c-4f44-a262-587212db4581",[1476],{"_uid":1477,"text":1478,"headline":1520,"component":347},"fe47c845-228b-4eb8-9c0d-89ae821ad190",{"type":17,"content":1479},[1480,1485],{"type":20,"attrs":1481,"content":1482},{"textAlign":22},[1483],{"text":1484,"type":26},"In today's enterprise world, long presentations and colorful pictures no longer count. What counts are resilient foundations for decision-making. Therefore, the role of design is changing from assumptions to verifiable evidence – risk management through clarity:",{"type":451,"content":1486},[1487,1498,1509],{"type":454,"content":1488},[1489],{"type":20,"attrs":1490,"content":1491},{"textAlign":22},[1492,1496],{"text":1493,"type":26,"marks":1494},"Navigation instead of reinvention:",[1495],{"type":317},{"text":1497,"type":26}," We scan the market permanently and know which solutions and patterns already work.",{"type":454,"content":1499},[1500],{"type":20,"attrs":1501,"content":1502},{"textAlign":22},[1503,1507],{"text":1504,"type":26,"marks":1505},"Validation instead of hope:",[1506],{"type":317},{"text":1508,"type":26}," We make concepts tangible as prototypes immediately and test them before they are scaled.",{"type":454,"content":1510},[1511],{"type":20,"attrs":1512,"content":1513},{"textAlign":22},[1514,1518],{"text":1515,"type":26,"marks":1516},"Real market tests:",[1517],{"type":317},{"text":1519,"type":26}," Testing with real users creates insights that show early on whether a business case is viable.","Evidence instead of PowerPoints and assumptions",{"id":41,"_uid":1522,"size":1050,"asset":1523,"intro":1529,"video":41,"component":1098,"coloredBackground":45},"b7eb49db-cdaa-45f5-a25d-32d55f7ba368",{"id":1524,"alt":1525,"name":41,"focus":41,"title":41,"source":41,"filename":1526,"copyright":41,"fieldtype":43,"meta_data":1527,"is_external_url":45},141353462022677,"Verschiedene verbundene Diagramm-Karten und ein Kompass auf einem Holztisch, daneben ein Tablet mit ähnlichem Diagramm, mit Stift und Brille.","https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F1024x1024\u002F201d91f6c8\u002Fim_flow_desk.png",{"alt":1525,"size":1528,"title":41,"source":41,"copyright":41},"1024x663",[],{"_uid":1531,"intro":1532,"content":1550,"component":386},"a2338062-04ea-4549-8e7f-dcc17b6fa2a1",[1533],{"cta":1534,"_uid":1535,"text":1536,"headline":1539,"component":320},[],"f547d472-41bb-459a-8f9f-1e77017d57da",{"type":17,"content":1537},[1538],{"type":20},{"type":17,"content":1540},[1541],{"type":20,"attrs":1542,"content":1543},{"textAlign":22},[1544,1548],{"text":1545,"type":26,"marks":1546},"Revolution",[1547],{"type":317},{"text":1549,"type":26}," not reform",[1551],{"id":41,"_uid":1552,"content":1553,"component":385},"dceddbeb-698c-4f57-b203-8453597918cd",[1554,1568,1582],{"_uid":1555,"text":1556,"headline":41,"component":347},"3f00a1d7-d17c-45ad-b5df-5895dad351ff",{"type":17,"content":1557},[1558,1563],{"type":20,"attrs":1559,"content":1560},{"textAlign":22},[1561],{"text":1562,"type":26},"It’s not about making existing solutions just 5% more efficient. That is reform. We are in the midst of a revolution, and generative AI opens up the possibility of reimagining products from the ground up. The crucial question, therefore, is not whether we optimize an existing interface, but whether we can find a new answer to the underlying problem.",{"type":20,"attrs":1564,"content":1565},{"textAlign":22},[1566],{"text":1567,"type":26},"This requires designers with courage, vision, and foresight. AI provides logic and speed; design creates emotion, meaning, and experience. By 2026, seamless functionality is merely a prerequisite. To stand out from the competition, it is no longer enough. Design must deliver the \"WOW\" factor—not through technical gimmicks, but through a sense of magic in the user experience. A product that anticipates my needs and brings me joy is the one that wins. We must once again charge technology with delight.",{"_uid":1569,"text":1570,"headline":1581,"component":347},"6881ccce-d29b-4bc2-8cc1-f2b90d36403b",{"type":17,"content":1571},[1572],{"type":20,"attrs":1573,"content":1574},{"textAlign":22},[1575],{"text":1576,"type":26,"marks":1577},"Reliable AI systems only emerge through the interplay of design, technological understanding, and know-how about data flows. Those who know the capabilities and limits of models create trust instead of false promises. Our very own AI compass helps with this.",[1578],{"type":336,"attrs":1579},{"color":1580},"#000000","Understanding technology is no longer optional",{"_uid":1583,"link":1584,"label":1587,"component":175,"googleAnalyticsEvent":41,"trackGoogleAnalytics":45},"8774877f-b08b-4c44-85c1-8bf114fa348a",{"id":289,"url":41,"target":1585,"linktype":36,"fieldtype":66,"cached_url":1586,"prep":68},"_blank","\u002Fen\u002Finsights\u002Fblog\u002FKi-Kompass\u002F","Learn more about our AI-Compass",{"_uid":1589,"text":1590,"author":1603,"button":1604,"component":1116,"authorInfo":1605,"authorImage":1606,"authorLocation":1611},"2ee3e78c-77e7-4212-ba2f-426fc7e310d4",{"type":17,"content":1591},[1592],{"type":20,"attrs":1593,"content":1594},{"textAlign":22},[1595,1597,1601],{"text":1596,"type":26},"Design in 2026 means making the possible visible. Making the complex understandable. Making the important felt. In this landscape, ",{"text":1598,"type":26,"marks":1599},"AI is like a powerful current",[1600],{"type":317},{"text":1602,"type":26}," that teams can choose to step into. The decisive question is: Does your design harness this current and help your organization not just stay afloat, but navigate its own course?","Alyona Morozava",[],"UX Designer",{"id":1607,"alt":1608,"name":41,"focus":41,"title":41,"source":519,"filename":1609,"copyright":519,"fieldtype":43,"meta_data":1610,"is_external_url":45},11748308,"Alyona Morozova","https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F500x500\u002Fca2d937b47\u002Falyona-morozova.jpg",{},"Ergosign München",[1613],{"_uid":1614,"media":1615,"headline":1620,"component":642},"38cd4756-b7a6-4237-8fab-72bb0209e6e7",{"id":1616,"alt":1617,"name":41,"focus":41,"title":41,"source":41,"filename":1618,"copyright":41,"fieldtype":43,"meta_data":1619,"is_external_url":45},141352590172600,"Hand steuert ein kleines Fahrzeug durch eine verschnörkelte Glasbahn mit funkelnden Lichtern auf einer Steinoberfläche.","https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F1024x1024\u002Fb88aa792de\u002Fim_flow_header.png",{"alt":1617,"title":41,"source":41,"copyright":41},{"type":17,"content":1621},[1622],{"type":20,"attrs":1623,"content":1624},{"textAlign":22},[1625,1629],{"text":1626,"type":26,"marks":1627},"In flow with AI",[1628],{"type":317},{"text":1630,"type":26},": What role will design play in 2026?",[1285,644],[646,1253,1251],[1634,649],"7cd3aa22-4087-4588-b65f-aa4842e631c1",[],[1637],{"id":41,"_uid":1638,"content":1639,"headline":1654,"component":1280},"85c52f9e-0fbc-4d46-be0e-bdc62c978a86",[1640],{"_uid":1641,"text":1642,"headline":41,"component":347},"8109d3c0-baa7-40fc-b765-fcaac98e10e9",{"type":17,"content":1643},[1644,1649],{"type":20,"attrs":1645,"content":1646},{"textAlign":22},[1647],{"text":1648,"type":26},"By 2026, generative AI is no longer a promise of the future but an operational reality. AI-supported workflows and assistance systems are productively in use as a standard in many places – whether in service, sales, operations, or HR. Companies have established governance structures, clarified responsibilities, and integrated AI as a manageable investment.",{"type":20,"attrs":1650,"content":1651},{"textAlign":22},[1652],{"text":1653,"type":26},"However, a significant gap is opening: some are redesigning the future of their business models, while others use AI merely as a decorative gadget. This difference will be visible to everyone by 2026, as users are no longer impressed by the mere \"Wow, it talks!\" effect. They don't want a show; they want reliability: it simply has to work.",{"type":17,"content":1655},[1656],{"type":20,"attrs":1657},{"textAlign":22},{"id":1616,"alt":41,"name":41,"focus":41,"title":41,"source":41,"filename":1618,"copyright":41,"fieldtype":43,"meta_data":1659,"is_external_url":45},{},"6","In Flow With AI: What Role Will Design Play in 2026?",[1663],{"cta":1664,"_uid":1668,"text":1669,"headline":1672,"component":320},[1665],{"_uid":1666,"link":1667,"label":776,"component":175},"39f4b91f-3f8a-4cee-a6af-6396c26454c5",{"id":774,"url":41,"linktype":36,"fieldtype":66,"cached_url":775,"prep":68},"ab9ffe86-cab6-4058-bdef-8104960a1066",{"type":17,"content":1670},[1671],{"type":20},{"type":17,"content":1673},[1674],{"type":20,"attrs":1675,"content":1676},{"textAlign":22},[1677,1681,1686],{"text":787,"type":26,"marks":1678},[1679],{"type":336,"attrs":1680},{"color":41},{"text":792,"type":26,"marks":1682},[1683,1685],{"type":336,"attrs":1684},{"color":41},{"type":317},{"text":798,"type":26,"marks":1687},[1688],{"type":336,"attrs":1689},{"color":41},"generative ai 2026, ux design for artificial intelligence, ai product strategy, designing the invisible ui, ai acceptance business value, evidence based ux research, ai compass design, human centered ai ecosystems, scaling ai workflows, beyond the ai button, trust in ai systems ux, ai business transformation 2026",[],"im-flow-mit-ki","en\u002Fwebsite-2026\u002Finsights\u002Fblog\u002Fin-flow-with-ai",-450,[],"05897ffb-05be-4cc7-b276-976a747c8807","2026-03-26T10:36:37.607Z","im-flow-mit-ki\u002F",[],"website-2026\u002Finsights\u002Fblog\u002Fim-flow-mit-ki",[1702,1704],{"path":1703,"name":1626,"lang":811,"published":68},"website-2026\u002Finsights\u002Fblog\u002Fin-flow-with-ai",{"path":1700,"name":22,"lang":819,"published":22},{"_uid":1706,"label":1707,"links":1708,"teaser":1731,"columns":820,"component":821},"7d17b08e-b5de-4e98-bbdf-6be97f8284fe","About us",[1709,1714,1719],{"_uid":1710,"link":1711,"label":119,"component":228,"description":1713},"a450a0eb-ca7b-48ed-a9da-8ce02a6be901",{"id":110,"url":41,"linktype":36,"fieldtype":66,"cached_url":111,"prep":68,"story":1712},{"name":113,"id":114,"uuid":110,"slug":115,"url":116,"translated_name":117,"full_slug":118,"_stopResolving":68},"Professional excellence, interdisciplinary teams, and an open culture of innovation.",{"_uid":1715,"link":1716,"label":132,"component":228,"description":1718},"afe5ba7d-783f-45f7-ba46-afed907261df",{"id":123,"url":41,"linktype":36,"fieldtype":66,"cached_url":124,"prep":68,"story":1717},{"name":126,"id":127,"uuid":123,"slug":128,"url":129,"translated_name":130,"full_slug":131,"_stopResolving":68},"Apply now: Open positions, benefits, and career development opportunities.",{"_uid":1720,"link":1721,"label":1725,"component":228,"description":1730},"1b479dfb-6f7f-4299-bcdc-600664846f87",{"id":1722,"url":41,"linktype":36,"fieldtype":66,"cached_url":1723,"prep":68,"story":1724},"a213bf37-663a-48f3-9127-30a8632cbea3","\u002Fen\u002Fueber-uns\u002Fpartner\u002F",{"name":1725,"id":1726,"uuid":1722,"slug":1727,"url":1728,"full_slug":1729,"_stopResolving":68},"Partner",153111142887511,"partner","partner\u002F","en\u002Fwebsite-2026\u002Fabout-us\u002Fpartner","Our network of leading technology and service partners for holistic and scalable digital solutions.",{"name":1732,"created_at":1733,"published_at":1734,"updated_at":1735,"id":1736,"uuid":1737,"content":1738,"slug":2070,"full_slug":2071,"sort_by_date":22,"position":1071,"tag_list":2072,"is_startpage":45,"parent_id":2073,"meta_data":22,"group_id":2074,"first_published_at":2075,"release_id":22,"lang":811,"path":41,"alternates":2076,"default_full_slug":2077,"translated_slugs":2078,"_stopResolving":68},"OMR26","2026-05-18T08:28:00.680Z","2026-07-03T07:29:16.154Z","2026-07-03T07:29:16.174Z",177779837715172,"a6057e6e-68ad-453c-993d-d072a5324f52",{"seo":1739,"_uid":1742,"body":1743,"hero":1994,"contact":2012,"component":2053,"teaserImg":2054,"teaserTitle":2056,"relatedContent":2057,"searchKeywords":2058,"teaserDescription":2059,"showRelatedContent":68,"relatedContentAmount":1292,"relatedContentHeadline":2060},{"title":1740,"description":1741},"OMR Masterclass: Beyond the hype | Why AI fails in practice","Learn from the OMR Masterclass why AI often fails in practice and how real value emerges through UX, technology, and legal frameworks.","7f11f361-ec85-45c8-8e32-460d937f1e2f",[1744,1771,1780,1845,1889,1962,1971],{"id":41,"_uid":1745,"content":1746,"headline":1760,"component":1280},"ef15ae17-aa86-4cdf-821a-1865cdc54535",[1747],{"_uid":1748,"text":1749,"headline":41,"component":347},"38e144c6-4577-4f66-80fe-c560a332291f",{"type":17,"content":1750},[1751],{"type":20,"attrs":1752,"content":1753},{"textAlign":22},[1754,1756,1758],{"text":1755,"type":26},"From AI demos to real products: the masterclass showed why many companies remain stuck in the so-called “productivity paradox” — AI looks impressive in demos but often fails in everyday use, for example due to poor user experience, unwanted hallucinations, or legal uncertainties.",{"type":1757},"hard_break",{"text":1759,"type":26},"Together we, Ergosign and SKW Schwarz, used practical, real-world examples to demonstrate how AI can be successfully and legally integrated into products. One key takeaway: real value only emerges when user experience, technology, and legal frameworks such as the AI Act and the General Data Protection Regulation work hand in hand. Ergosign also introduced proven approaches such as the “AI Delegation Matrix” and “GenAI Ops,” showing how legal requirements can be embedded into product development from the very beginning — enabling AI projects that solve real problems while remaining fully compliant.",{"type":17,"content":1761},[1762],{"type":20,"attrs":1763,"content":1764},{"textAlign":22},[1765,1769],{"text":1766,"type":26,"marks":1767},"Highlights",[1768],{"type":317},{"text":1770,"type":26}," from Our Masterclass",{"id":41,"_uid":1772,"size":1773,"asset":1774,"intro":1779,"video":41,"autoplay":45,"component":1098,"showBorder":45,"coloredBackground":45},"5661c373-4de8-4bb5-8e3c-9c3590d5d602","narrow",{"id":1775,"alt":1776,"name":41,"focus":41,"title":41,"source":519,"filename":1777,"copyright":519,"fieldtype":43,"meta_data":1778,"is_external_url":45},173955920593931,"Konferenzraum bei der OMR 2026 mit Publikum und dekorativen Wänden. 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Ergosign teilt UX-Erkenntnisse, adaptive HMI-Konzepte und Engineering-UI-Frameworks aus 3 Jahren STADT:up-Forschung","b1443ca7-f7a9-46c7-927b-07d40fade350",[3313,3402,3409,3505,3512,3604,3630,3689,3741],{"_uid":3314,"intro":3315,"content":3351,"component":386},"66ba9011-2155-4dc7-8c13-e8a8bd90f036",[3316],{"cta":3317,"_uid":3330,"text":3331,"headline":3338,"component":320},[3318],{"_uid":3319,"link":3320,"label":3329,"component":175,"googleAnalyticsEvent":41,"trackGoogleAnalytics":45},"094103c8-aa22-4ab0-a99d-17ed1df92035",{"id":3321,"url":41,"target":1585,"linktype":36,"fieldtype":66,"cached_url":3322,"prep":68,"story":3323},"1b079e30-f44a-4c23-9f2b-b15975ab6abd","\u002Fen\u002Finsights\u002Fblog\u002Fstadt-up\u002F",{"name":3324,"id":3325,"uuid":3321,"slug":3326,"url":3327,"full_slug":3328,"_stopResolving":68},"STADT:up",128859649212612,"stadt-up","stadt-up\u002F","en\u002Fwebsite-2026\u002Finsights\u002Fblog\u002Fstadt-up","STADT:up — the first project year","9ac262b3-f425-411c-9842-5884349c1287",{"type":17,"content":3332},[3333],{"type":20,"attrs":3334,"content":3335},{"textAlign":22},[3336],{"text":3337,"type":26},"We have reported to STADT:up in the past. You can read our first blog post here. ",{"type":17,"content":3339},[3340],{"type":20,"attrs":3341,"content":3342},{"textAlign":22},[3343,3345,3349],{"text":3344,"type":26},"How is ",{"text":3346,"type":26,"marks":3347},"trust in autonomous vehicles",[3348],{"type":317},{"text":3350,"type":26}," built?",[3352,3377],{"id":41,"_uid":3353,"content":3354,"component":385},"7e77f763-9ae6-4607-864f-fedd851174ba",[3355],{"_uid":3356,"text":3357,"headline":3376,"component":347},"86af21fd-85f5-47d4-974c-76e0768d4ecf",{"type":17,"content":3358},[3359,3364,3369,3374],{"type":20,"attrs":3360,"content":3361},{"textAlign":22},[3362],{"text":3363,"type":26},"One of the central insights from our research: Vehicle occupants do not always want to know everything. Their need for information depends heavily on how safe or dangerous they perceive a situation to be. In critical moments — a confusing intersection, a pedestrian crossing, a sharp curve — the desire for concrete explanations increases significantly. What does the vehicle see? What is it planning? A well-designed iHMI provides information exactly when it is needed and holds back when it would be disruptive.",{"type":20,"attrs":3365,"content":3366},{"textAlign":22},[3367],{"text":3368,"type":26},"At the same time, we found that this need is highly individual. While some users prefer continuous, detailed feedback to feel safe, others quickly find the same density of information disruptive.",{"type":20,"attrs":3370,"content":3371},{"textAlign":22},[3372],{"text":3373,"type":26},"This insight has far-reaching consequences for the UX design of autonomous systems: A static interface is not enough. It requires adaptive, context-dependent, and personalizable interaction concepts upon which our overall iHMI concept is built.",{"type":20,"attrs":3375},{"textAlign":22},"The need for information is individual and changes depending on the situation",{"id":41,"_uid":3378,"content":3379,"component":385},"b214d0a5-f854-464d-87ae-e5aebbdabfb0",[3380],{"_uid":3381,"text":3382,"headline":3401,"component":347},"bc8afaa9-c6ed-4be5-a165-ccfed91051d0",{"type":17,"content":3383},[3384,3389,3394,3399],{"type":20,"attrs":3385,"content":3386},{"textAlign":22},[3387],{"text":3388,"type":26},"In the second half of 2025, we conducted a user study in Berlin with 30 participants, which evaluated our overall iHMI concept in its entirety, including the newly developed components AR Windshield (Augmented Reality windshield) and voice announcements.",{"type":20,"attrs":3390,"content":3391},{"textAlign":22},[3392],{"text":3393,"type":26},"The result for the AR visualization was clear: When the vehicle shows in real-time what it perceives and how it assesses the situation, trust increases measurably. AR creates transparency — and transparency creates acceptance. The requirement for UX design is high: the visual cues must be intuitively understandable without being overwhelming. Too much information at the wrong moment quickly achieves the opposite.",{"type":20,"attrs":3395,"content":3396},{"textAlign":22},[3397],{"text":3398,"type":26},"The evaluation of the voice announcements showed a much more nuanced picture. Auditory signals can noticeably improve the user experience, but only if they are used in a targeted and contextual manner. For HMI design, this underlines an iron clad rule: Multimodality is not an end in itself, but must specifically serve understanding and the sense of safety.",{"type":20,"attrs":3400},{"textAlign":22},"AR visualizations as a trust-building measure",{"id":41,"_uid":3403,"size":1050,"asset":3404,"intro":3408,"video":41,"autoplay":45,"component":1098,"showBorder":45,"hideControls":45,"coloredBackground":45},"96659115-ec55-4119-a864-bf2030053d91",{"id":3405,"alt":41,"name":41,"focus":41,"title":41,"source":41,"filename":3406,"copyright":41,"fieldtype":43,"meta_data":3407,"is_external_url":45},195415931247754,"https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F1309x985\u002Fba37dbf02a\u002Fstadtup_simulatorfahrt.jpg",{},[],{"_uid":3410,"intro":3411,"content":3430,"component":386},"00ed1a54-f647-463d-a427-dbf5fde6b3b2",[3412],{"cta":3413,"_uid":3414,"text":3415,"headline":3419,"component":320},[],"362c5096-0730-4038-849d-75848d4558ac",{"type":17,"content":3416},[3417],{"type":20,"attrs":3418},{"textAlign":22},{"type":17,"content":3420},[3421],{"type":20,"attrs":3422,"content":3423},{"textAlign":22},[3424,3426],{"text":3425,"type":26},"VR as a methodical ",{"text":3427,"type":26,"marks":3428},"quantum leap",[3429],{"type":317},[3431],{"id":41,"_uid":3432,"content":3433,"component":385},"4cbf11f4-5ce1-48b6-9d37-ed069089f159",[3434],{"_uid":3435,"text":3436,"headline":3504,"component":347},"492bd87b-fbcd-429a-b837-7ad9c83e0572",{"type":17,"content":3437},[3438,3443,3448,3455,3460,3487,3492,3497,3502],{"type":20,"attrs":3439,"content":3440},{"textAlign":22},[3441],{"text":3442,"type":26},"One of the most significant methodological developments in the project was the transition of our simulation environment into Virtual Reality (VR). While we still evaluated the HMI via fixed screens as vehicle windows during the previous study in Berlin, we hit spatial and technological limits there when investigating continuous drives. Furthermore, in earlier phases, we mostly tested short, isolated scenarios of about 30 seconds – good for quick iterations of individual components, but limited in realistic expressiveness.",{"type":20,"attrs":3444,"content":3445},{"textAlign":22},[3446],{"text":3447,"type":26},"In the second half of 2025, we fundamentally renewed the simulation: A continuous, four-minute drive through real urban environments, completely immersively mapped in VR. In addition, the test subjects performed a cognitive secondary task (Non-Driving Related Task \u002F NDRT) during the autonomous drive: a sequence of letters read aloud, where they had to react to specific target letters by raising their arm.",{"type":3449,"attrs":3450,"content":3452},"heading",{"level":3451,"textAlign":22},4,[3453],{"text":3454,"type":26},"Why is this relevant for UX research? ",{"type":20,"attrs":3456,"content":3457},{"textAlign":22},[3458],{"text":3459,"type":26},"Because trust in automation cannot be measured in short 30-second snippets. Trust is built through continuous experience of system behavior, through the sum of small moments in which the vehicle acts predictably, correctly, and understandably. The dual-task paradigm additionally provided us with two crucial insights:",{"type":3461,"attrs":3462,"content":3464},"ordered_list",{"order":3463},1,[3465,3476],{"type":454,"content":3466},[3467],{"type":20,"attrs":3468,"content":3469},{"textAlign":22},[3470,3474],{"text":3471,"type":26,"marks":3472},"Keeping an eye on the load limit",[3473],{"type":317},{"text":3475,"type":26},": As long as the drive is smooth, occupants can also process detailed information well. However, when a complex traffic situation and personal distraction come together, many interfaces quickly lead to measurable stress.",{"type":454,"content":3477},[3478],{"type":20,"attrs":3479,"content":3480},{"textAlign":22},[3481,3485],{"text":3482,"type":26,"marks":3483},"The pitfall of the voice assistant",[3484],{"type":317},{"text":3486,"type":26},": Our data showed that, above all, the combination of visual displays and simultaneous voice announcements distracted the test persons. When the car speaks and displays text in parallel, the occupants must constantly cross-reference both sources in their heads. This blocks mental capacities that were actually intended to be used for something else.",{"type":20,"attrs":3488,"content":3489},{"textAlign":22},[3490],{"text":3491,"type":26},"After the technical integration of the VR environment was successfully completed at the end of 2025, the final study was able to start on time in January 2026. The subsequent analysis of the data provided us with valuable insights for future HMI development, especially regarding cognitive load.",{"type":20,"attrs":3493,"content":3494},{"textAlign":22},[3495],{"text":3496,"type":26},"A clear limit to information density emerged: With a higher number of simultaneously active interfaces, the cognitive load of the test subjects increased measurably. When increased external stressors were added, conventional display concepts reached their limits.",{"type":20,"attrs":3498,"content":3499},{"textAlign":22},[3500],{"text":3501,"type":26},"The findings confirm our adaptive approach: More interfaces do not automatically mean more trust. The future of the iHMI lies in intelligent, situational orchestration that adapts both to the complexity of road traffic and to the individual preferences of the occupants. Only in this way can we create a user experience that builds trust and simultaneously relieves rather than overwhelms – thereby laying the foundation for true acceptance of autonomous driving.",{"type":20,"attrs":3503},{"textAlign":22},"From isolated scenarios to continuous driving experiences",{"id":41,"_uid":3506,"size":1050,"asset":3507,"intro":3511,"video":41,"autoplay":45,"component":1098,"showBorder":45,"hideControls":45,"coloredBackground":45},"61957154-35c3-4700-b436-09f2f3d2c2da",{"id":3508,"alt":41,"name":41,"focus":41,"title":41,"source":41,"filename":3509,"copyright":41,"fieldtype":43,"meta_data":3510,"is_external_url":45},195417161206925,"https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F3195x2396\u002F33b86e3714\u002Fstadtup_vr.jpg",{},[],{"_uid":3513,"intro":3514,"content":3533,"component":386},"d14891ff-328f-4256-9b45-f0ddb946f5f1",[3515],{"cta":3516,"_uid":3517,"text":3518,"headline":3522,"component":320},[],"8f4ac2d6-6981-4b60-b91d-0048392df7cc",{"type":17,"content":3519},[3520],{"type":20,"attrs":3521},{"textAlign":22},{"type":17,"content":3523},[3524],{"type":20,"attrs":3525,"content":3526},{"textAlign":22},[3527,3531],{"text":3528,"type":26,"marks":3529},"The Engineering UI",[3530],{"type":317},{"text":3532,"type":26},": UX Design for the invisible users",[3534,3552,3589],{"id":41,"_uid":3535,"content":3536,"component":385},"3c4a64af-baf5-4ad3-80f0-acfdb26a76ab",[3537],{"_uid":3538,"text":3539,"headline":3551,"component":347},"0c694c3a-173f-4228-a482-cf7e1c8fd004",{"type":17,"content":3540},[3541,3546],{"type":20,"attrs":3542,"content":3543},{"textAlign":22},[3544],{"text":3545,"type":26},"While the passenger perspective dominates public discourse, in Subproject 5 we dedicated ourselves to an often overlooked user group: the developers, design researchers, and engineers who train, validate, and optimize AI algorithms for autonomous vehicles. Without their daily feedback, their field work in the test vehicle, and their data work, there is no learning system and thus no autonomous mobility. Until now, however, efficient development has often failed due to the so-called \"workflow gap\" – a massive gap between technical engineering and user-centered design.",{"type":20,"attrs":3547,"content":3548},{"textAlign":22},[3549],{"text":3550,"type":26},"For them, we developed the Engineering UI: a touch-optimized, web-based application that visualizes sensor data in real time, makes recordings structured and annotatable, and makes work in and on the test vehicle significantly more efficient. The technological foundation is the Robot Operating System (ROS2) and a strategic fork of the formerly open-source Foxglove code base, extended by custom nodes developed in-house for data compression for mobile use on tablets. The result: A significant reduction in cognitive load for operators during test drives.","Who develops autonomous vehicles and what is needed for it?",{"id":41,"_uid":3553,"content":3554,"component":385},"b3ea35f0-3ee1-48eb-9627-e08f64a490ec",[3555,3565,3574,3583],{"_uid":3556,"text":3557,"headline":3564,"component":347},"b2bf4894-18e7-4567-b6c4-a454b34dba95",{"type":17,"content":3558},[3559],{"type":20,"attrs":3560,"content":3561},{"textAlign":22},[3562],{"text":3563,"type":26},"Following the UX principle of \"At-a-Glance Status Monitoring\", the sensor status view was integrated from the navigation menu into the permanent sidebar. Faulty sensors are immediately identified by warning symbols, while bandwidth and frequency are monitored in real-time to proactively detect latency fluctuations. Seconds count in the vehicle — this UX detail has direct operational relevance for avoiding cognitive overload.","What we developed and learned in the second half of 2025",{"_uid":3566,"text":3567,"headline":41,"component":347},"57faa71d-2269-46c7-a541-c5861aa4ac27",{"type":17,"content":3568},[3569],{"type":20,"attrs":3570,"content":3571},{"textAlign":22},[3572],{"text":3573,"type":26},"Finding relevant moments in hours of sensor data recordings was previously one of the biggest efficiency problems. Our further developed \"Contextual Event Flagging\" solves it: Instead of six categories, operators now only have to choose from three clearly differentiated flag types via touch during the drive: Red for critical situations, Yellow for warnings, White for information. In replay mode, events are visualized on an interactive timeline. The result: Searching large datasets is simplified and the analysis phase in post-hoc evaluation is more efficient.",{"_uid":3575,"text":3576,"headline":41,"component":347},"8faac6e2-c34c-4c44-8ba3-5c64ec41fb0e",{"type":17,"content":3577},[3578],{"type":20,"attrs":3579,"content":3580},{"textAlign":22},[3581],{"text":3582,"type":26},"The framework proves its scalability: It runs without further modifications both on the highly complex Mercedes-Benz S 580 research vehicle (15 sensors) and the compact research bicycle (FUSE-Bike) of the Munich University of Applied Sciences, as well as on the research vehicle from Opel. The underlying architecture is a dedicated proxy computer (Intel NUC) with specialized custom ROS2 nodes for data compression (downsizing), system monitoring, and bidirectional communication. To further increase performance in live operation, we also said goodbye to resource-intensive Docker containerization as an important learning and switched to a more stable native installation. This ensures an overall more stable application, making sensor recordings run more smoothly and live transmission take place with less latency.",{"_uid":3584,"media":3585,"video":41,"autoplay":45,"headline":41,"component":355,"showBorder":45,"aspectRatio":356,"hideControls":45,"preserveAspectRatio":45},"76153411-65ea-43a7-b046-9ce988098bb0",{"id":3586,"alt":41,"name":41,"focus":41,"title":41,"source":41,"filename":3587,"copyright":41,"fieldtype":43,"meta_data":3588,"is_external_url":45},195429560016249,"https:\u002F\u002Fa.storyblok.com\u002Ff\u002F180740\u002F4032x3024\u002F0ecfff93e8\u002Fstadtup_workshop.JPG",{},{"id":41,"_uid":3590,"content":3591,"component":385},"b9d8a2a5-6d6b-4056-8b3b-ee1adc30cdca",[3592],{"_uid":3593,"text":3594,"headline":3603,"component":347},"371daf49-001e-4167-8f8a-ecaebb402d29",{"type":17,"content":3595},[3596,3601],{"type":20,"attrs":3597,"content":3598},{"textAlign":22},[3599],{"text":3600,"type":26},"A conceptual step forward that points far beyond the current project phase of STADT:up: In the second half of 2025, we validated and sharpened the complementary persona \"Dara Designer\" through contextual inquiries and synthesis workshops. She complements the established \"Eggart Engineer\" and aligns the strategic focus on the future: While the technical focus in the project was on the engineers, the Engineering UI is intended to serve not only them in the future, but also to allow UX designers access to interpreted live data directly in the test vehicle. This allows visualization concepts for end users to be evaluated under real driving conditions. This is the direct bridge between technical system development and human factors research.",{"type":20,"attrs":3602},{"textAlign":22},"From persona to strategic product vision",{"_uid":3605,"text":3606,"component":3629},"91e282f9-378e-44de-afbd-86629cc62b8c",{"type":17,"content":3607},[3608],{"type":20,"attrs":3609,"content":3610},{"textAlign":22},[3611,3615,3617,3621,3623,3627],{"text":3612,"type":26,"marks":3613},"Trust in autonomous systems ",[3614],{"type":317},{"text":3616,"type":26},"is not just a",{"text":3618,"type":26,"marks":3619}," technical challenge",[3620],{"type":317},{"text":3622,"type":26},", but also a ",{"text":3624,"type":26,"marks":3625},"design problem",[3626],{"type":317},{"text":3628,"type":26},". ","CallOutQuote",{"_uid":3631,"intro":3632,"content":3653,"component":386},"17d903c3-2575-48b3-979a-641523add99d",[3633],{"cta":3634,"_uid":3635,"text":3636,"headline":3640,"component":320},[],"cc7ce357-c588-4cbd-9fbe-2d28dadf9d6b",{"type":17,"content":3637},[3638],{"type":20,"attrs":3639},{"textAlign":22},{"type":17,"content":3641},[3642],{"type":20,"attrs":3643,"content":3644},{"textAlign":22},[3645,3647,3651],{"text":3646,"type":26},"What over three years of ",{"text":3648,"type":26,"marks":3649},"research for STADT:up",[3650],{"type":317},{"text":3652,"type":26}," mean ",[3654],{"id":41,"_uid":3655,"content":3656,"component":385},"00ba6a8f-bf2d-4aa8-beca-23f9ee6e3355",[3657,3667],{"_uid":3658,"text":3659,"headline":3666,"component":347},"cb58f370-27ee-4611-bb00-d76938762238",{"type":17,"content":3660},[3661],{"type":20,"attrs":3662,"content":3663},{"textAlign":22},[3664],{"text":3665,"type":26},"The findings from STADT:up are finding their way directly into the international research community. Already in August 2025, the paper on the co-creative development of vehicle HMIs (Flohr et al., 2025) was published at the Humanist Conference in Chemnitz. A special milestone for our team: For HCI International 2026, the paper \"Beyond the Dashboard: A Collaborative UI Framework for Autonomous Systems Engineering and Design Research\" was not only submitted but also officially accepted — a direct further development of our work on the Engineering UI, together with research partners from the Munich University of Applied Sciences and Opel.","From research project to science",{"_uid":3668,"text":3669,"headline":3688,"component":347},"fd41377c-6ae8-462a-a275-a344ea4048ab",{"type":17,"content":3670},[3671,3676,3681,3686],{"type":20,"attrs":3672,"content":3673},{"textAlign":22},[3674],{"text":3675,"type":26},"It was an intensive experiment in interdisciplinary collaboration at the highest level, between OEMs like Opel and Mercedes-Benz, Tier-1 suppliers, universities, and a UX agency that firmly believes: Technology only unfolds its full potential when it is made for people.",{"type":20,"attrs":3677,"content":3678},{"textAlign":22},[3679],{"text":3680,"type":26},"The insights we take with us can be brought down to a common denominator: Trust in autonomous systems is not only a technical problem, but also a design problem. It is not built through better algorithms alone, but through understandable, adaptive, and human-centered communication between human and machine. Exactly there lies the core competence of a UX agency like Ergosign.",{"type":20,"attrs":3682,"content":3683},{"textAlign":22},[3684],{"text":3685,"type":26},"We will further develop and apply the empirical insights and methods gained — from the VR simulation environment and adaptive iHMI concepts to the scalable Engineering UI framework — in future projects. The project's major final demonstration took place in Aldenhoven in June 2026.",{"type":20,"attrs":3687},{"textAlign":22},"STADT:up was more than a research project.",{"id":41,"_uid":3690,"size":1050,"asset":3691,"intro":3697,"video":3698,"autoplay":45,"component":1098,"showBorder":45,"hideControls":45,"coloredBackground":45},"d13ce01c-7afc-4743-a4ef-317c49fa4221",{"id":3692,"alt":3693,"name":41,"focus":41,"title":3694,"source":41,"filename":3695,"copyright":519,"fieldtype":43,"meta_data":3696,"is_external_url":45},195867955793638,"Zwei Männer in einem Auto, das auf der Straße fährt, das Navigationssystem ist aktiviert. 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