Alle Publikationen
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2014
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(2014): Factors influencing trust in Ambient Assisted Living Technology: A scenario-based analysis. In: Gerontechnology 12 (2), S. 81-100. DOI: 10.4017/gt.2013.12.2.002.00
DOI: https://doi.org/10.4017/gt.2013.12.2.002.00 Abstract: Demographic aging in Germany and the related structural change in the health care sector enable a market for assistive technologies for elderly people in a home living environment. The objective of this study is a scenario-based analysis regarding trust in Ambient Assisted Living (AAL). A standardized questionnaire survey with 292 participants from 50 to 93 years of age was conducted in Germany. Two different interview groups, people who need support in daily life due to different kinds of impairment and people without need for care, have been considered. The analysis was using correlation and stepwise regression analysis. As an important finding, a strong relationship between trust in AAL and an intention to use AAL can be highlighted. The significant influencing factors on trust are expected reliability, perceived ease of use, and perceived usefulness of AAL. Information procurement, interest in technology, and perceived health status are further variables which directly influence the end-user intention to use. People with need for care showed lower trust and intention to use values than people without need for care. The analyses show additionally that younger as well as participants with better perceived health status have higher trust values and more intention to use AAL based on the two scenarios. In contrast to a former study in the AAL context, gender has no significant influence on trust. In the future, further experimental studies with focus on elderly persons’ trust in AAL will be performed. These experiments will include, on the one hand, personal remote assistance for the end-user and, on the other hand, variation of actual reliability of AAL technology. (PsycINFO Database Record (c) 2016 APA, all rights reserved)
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(2015): Influence of trust in Ambient Assisted Living technologies Humboldt-Universität zu Berlin
DOI: https://doi.org/10.18452/17167 Abstract: Zwischenmenschliches Vertrauen spielt in Beziehungen eine wichtige Rolle und beinhaltet die Erwartung, dass auf das Wort des Anderen Verlass ist (Rotter, 1967). Auch im Zusammenhang mit Automation und Mensch-Maschine-Systemen erlangt die Betrachtung von Vertrauen in den vergangenen Jahren immer größere Bedeutung. In den Bereichen automatisierte Fahrzeugsteuerung oder militärische Freund-Feind-Erkennung wurde bereits eine Vielzahl von Erhebungen durchgeführt. Einen Forschungsgegenstand, der bislang jedoch weitestgehend unbeachtet geblieben ist, stellen Heim-Automatisierungen und Unterstützungstechnologien für ältere Personen dar. Die vorliegende Dissertation möchte einen Anstoß für die Forschungsaktivitäten im Kontext von Vertrauen in Ambient Assisted Living (AAL) Systeme geben und gleichzeitig die Möglichkeiten von Unterstützungs-technologien (für beeinträchtigte Personen) im Wohnumfeld aufzeigen. Im Fokus der Untersuchung steht dabei das Vertrauen älterer Personen, als potentielle Endnutzer, in AAL Systeme. Nach Durchführung der Literaturanalyse, wurden mittels einer Fragebogenstudie zunächst verschiedene Einflussfaktoren auf das Vertrauen in AAL sowie die Nutzungsabsicht der senioren Zielgruppe erforscht. Unter Einbeziehung der Variablen des Technology Acceptance Modells (TAM) (Davis, 1989) werden Personen mit und ohne täglichem Unterstützungsbedarf befragt. Basierend auf den dadurch gewonnenen Erkenntnissen wurden zwei Experimente durchgeführt. Die Probanden der beiden Experimente, die jeweils eine seniore Testgruppe und eine junge Kontrollgruppe umfassten, sollten mittels eines Mock-Ups auf einem Tablet-Computer verschiedene Aufgaben im Wohnumfeld bearbeiten. Im ersten Experiment wurde zusätzlich zu der Standard-Bedienoberfläche der AAL Technologie, entweder persönliche Unterstützung via Operateur oder eine technische Unterstützung zur Verfügung gestellt. Das zweite Experiment untersuchte drei unterschiedliche Stufen von Zuverlässigkeit einer AAL Applikation. Interpersonal trust as “expectancy that the verbal statements of others can be relied upon” (Rotter, 1967; p. 651) plays an important role in human relationships. But even in the context of automation and man-machine systems, the consideration of trust has acquired even greater importance in recent years. In the field of automated vehicle control systems or military friend-or-foe recognition, a large number of surveys relating to trust have been conducted. An area of research that, to date, has not been well-investigated is home automation, such as smart home and assistive technologies for older people. The present thesis aims to initiate such research activities in the context of trust in Ambient Assisted Living (AAL) systems, as well as to demonstrate the opportunities that assistive technologies present for impaired persons in the living environment. The focus of the present survey is on the trust of older people, as potential end-users, in AAL systems. To establish an understanding of the state of this research field, a literature review has been conducted. Subsequently, the various factors influencing trust in AAL and usage intention of the elderly target group are examined via a written questionnaire study. Taking into account the variables of the Technology Acceptance Model (TAM) (Davis, 1989), persons with and without need for daily support are interviewed. Based on the obtained results, two subsequent experiments were carried out. The participants in the two experiments, each including a senior test group and a young control group, worked on various tasks through a mock-up on a tablet-computer in the living environment. In the first experiment, in addition to the standard user interface of the AAL technology, either personal support via operator or a technical embedded support was provided to test the differential impact on the trust of the participants in AAL. The second experiment included three different levels of reliability of an AAL application.
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