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  • 2010

  • Plociennik, Christiane; Wandke, Hartmut; Kirste, Thomas (2010): What influences user acceptance of ad-hoc assistance systems? - A quantitative study. In: Mobile und ubiquitäre Informationssysteme - Technologien, Anwendungen und Dienste zur Unterstützung von mobiler Kollaboration. Bick, Markus (Ed.); Eulgem, Stefan (Ed.); Fleisch, Elgar (Ed.); Hampe, J. Felix (Ed.); König-Ries, Birgitta (Ed.); Lehner, Franz

    Abstract: Which factors influence user acceptance of Ambient Intelligence applications is an interesting question worth to be studied comprehensively. We describe a quantitative user study that investigates how experience, stress, and system behavior influence user acceptance of an ad-hoc assistance system. We find that stressed users perceive the assistance system as more useful than relaxed users. Furthermore, system behavior influences how useful people perceive the system, and experience influences how easy to use people find the system. Perceived usefulness also depends on how technophile a person is. Following our findings, we develop a scheme of user acceptance and performance.

    Keywords: Assistenz, Experience Level, Information systems, Information technology, Mensch-Roboter-Interaktion, Stress

  • 2003

  • Fonseca, Carlos M. da; Fleming, Peter J.; Zitzler, Eckart; Thiele, Lothar; Deb, Kalyanmoy (Hg.) (2003): Evolutionary Multi-Criterion Optimization. Second International Conference, EMO 2003, Faro, Portugal, April 8-11, 2003. Proceedings. Berlin; Heidelberg: Springer (Lecture Notes in Computer Science)

    DOI: http://dx.doi.org/10.1007/3-540-36970-8 

    Abstract: This book constitutes the refereed proceedings of the Second International Conference on Evolutionary Multi-Criterion Optimization, EMO 2003, held in Faro, Portugal, in April 2003. The 56 revised full papers presented were carefully reviewed and selected from a total of 100 submissions. The papers are organized in topical sections on objective handling and problem decomposition, algorithm improvements, online adaptation, problem construction, performance analysis and comparison, alternative methods, implementation, and applications

    Keywords: Artificial intelligence, Computational complexity, Computer Science, Computer software, Electronic data processing, Evolutionärer Algorithmus, Information systems, Mathematical optimization, Mehrkriterielle Optimierung
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