{"id":6002,"date":"2026-07-28T12:59:34","date_gmt":"2026-07-28T10:59:34","guid":{"rendered":""},"modified":"2026-08-25T20:41:42","modified_gmt":"2026-08-25T18:41:42","slug":"about","status":"publish","type":"page","link":"https:\/\/scalableinteractionparadigms.uni-oldenburg.de\/blog\/about\/","title":{"rendered":"About"},"content":{"rendered":"\t\t
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\n\t\t\t\t\tABOUT THE PROGRAMME<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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A nationwide effort to keep interaction human<\/h1>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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SPP 2199 is a DFG Priority Programme running 2019\u20132026, investigating scalable interaction paradigms for pervasive computing environments.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\tDFG FUNDING<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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2019<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\tProgramme established by the DFG Senate<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\tThree-year funding phases (2020\u20132022 and 2023\u20132026)<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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19<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\tResearch projects across both phases<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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SPP<\/div>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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\n\t\t\t\t\tDFG Schwerpunktprogramm \u2014 coordinated Priority Programme<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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\n\t\t\t\t\tTHE RESEARCH QUESTION<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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How do we interact with large, complex pervasive computing environments \u2014 and which paradigms scale?<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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“Being at home should not feel like being inside a computer.”<\/i><\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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The computers of our everyday environments each offer consistent but subtly different interaction techniques. As computing dissolves into ensembles of devices, almost any action risks becoming \u201coperating a computer.\u201d SPP 2199 investigates interaction paradigms that remain understandable, learnable and transferable as the number and diversity of devices grow.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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\n\t\t\t\t\tTHREE RESEARCH AREAS<\/span>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Design \u00b7 Methods \u00b7 Evaluation<\/h2>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t
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Design<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Eliciting, designing, implementing and evaluating new interaction paradigms \u2014 grounded in real practices through ethnographic fieldwork, participatory design and stakeholder involvement.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Full description<\/p>

To make interaction with future computing systems possible, we need a deep understanding of the fundamental interaction paradigms for pervasive environments. Paradigms must be effective and efficient \u2014 and their usage obvious, learnable in almost no time. Users must be enabled to transfer interaction knowledge across devices, situations, and environments. Imagine \u201cgrasping\u201d a news item from a public display with a gesture and reading it on a tablet on the way home \u2014 would the same paradigm hold for grasping information from the x-ray display in an operating theatre to view it on a head-mounted display?<\/p>

Key questions:<\/strong> How can pervasive systems invite easy, accessible usage across devices, settings and domains \u2014 what are the \u201cmetaphors\u201d and the \u201cvocabulary\u201d of interacting with large ensembles? How can ensembles reveal their functionality and offer introspection and learnability to all users? How do we design for continuity and consistency across different complex environments? How does the physicality of the space affect the design of interaction paradigms?<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Methods<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Developing rigorous, scalable methods for studying and evaluating interaction across diverse devices and domains \u2014 research in the large, user simulation, transferable models.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Full description<\/p>

Current study methods in applied psychology and HCI were developed to evaluate individual devices. In the future we must study virtually unlimited combinations of devices and contexts \u2014 usability testing, focus groups, and controlled experiments do not scale with this diversity. Promising directions include \u201cresearch in the large\u201d, simulating user behavior, and models that transfer findings from one context to another. Unsupervised techniques such as logging or the Experience Sampling Method replace the obtrusive human observer with sensors and in-situ self-reporting.<\/p>

Key questions:<\/strong> With which methods do we run unsupervised studies in the wild for larger interactive systems? What are the limits of these observations regarding reliability and interpretation? How can immersive VR\/AR simulate the \u201cstudy in the wild\u201d in the lab? Can simulations of pervasive environments evaluate interaction behavior before a prototype is built? How do we employ novel sensor technology (vital signals, EEG, fNIRS, gaze) to increase the explanatory power of unsupervised observation?<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t

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Evaluation<\/h3>\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t
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Metrics, criteria and models for evaluating future interactive systems \u2014 understanding what good interaction means across pervasive, multi-device, multi-user contexts.<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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Full description<\/p>

Effectiveness, efficiency, and satisfaction \u2014 the established metrics \u2014 are not sufficient. Important dimensions include workload, social acceptability, physiological and psychological fatigue, transferability scores, and effects on group dynamics. Standard instruments such as SUS and NASA TLX must prove they capture the whole user experience of a pervasive computing environment; AttrakDiff or the Comfort Rating Scale remain limited at larger scales. We expect a multimodal sensor-fusion approach integrating behavioral and physiological metrics for post-hoc and real-time assessment.<\/p>

Key questions:<\/strong> How do we measure effectiveness and efficiency across ensembles of devices? How can unobtrusive measurement enable truly unsupervised assessment in the field? What are suitable metrics from task performance to acceptance and joy of use \u2014 including boredom, wandering and attention? What are generic testbeds for comparative analysis?<\/p>\t\t\t\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t\t<\/div>\n\t\t\t\t<\/div>\n\t\t\t\t

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