Logo des Repositoriums

Auflistung nach Autor:in "Steinert, Anika"

1 - 3 von 3
  • Konferenzbeitrag
    Acceptance and Usage of an Online-based Cognitive Group Training for Older Adults
    (i-com: Vol. 15, No. 1, 2016) Haesner, Marten; Steinert, Anika; O’Sullivan, Julie; Steinhagen-Thiessen, med. Elisabeth
    Age-related decline in cognitive capacity can lead to functional restriction in everyday life. Therefore, interventions that aim to maintain and facilitate the individual cognitive capacity are becoming increasingly important. Computer-based cognitive learning is a promising approach to combat age-related loss of functional capabilities. The publicly funded project LeVer was developed especially for older adults and consisted of an online virtual cognitive training platform that enabled older adults to train on their own and in groups. Apart from investigating how older adults interacted with the platform, acceptance towards computer-based group training and audio-video communication was also analyzed. During the 20 to 30 minutes long sessions of the group training, learning units that included memory strategies as well as everyday exercises to intensify those strategies were taught. The group training was divided into four modules. The content of each session was structured using evidence-based cognitive training methods and manuals. Of the 40 older adults who used the individual online cognitive training (IOCT), half of the participants (11♀, 9♂) took part in all of the four sessions of group training. 14 participants (9♀, 5♂) aged 62–77 years ( = 69.56; S = 3.99) answered a proprietary evaluation questionnaire after all of the group sessions. The opinion of the participants about the content and design of the group training was rated on a 4 point Likert-scale with 43 items. Group training was generally rated as a positive experience. The online video communication was new for the majority of participants and was rated as enjoyable. The answers to the open questions in the evaluation questionnaire revealed that group size, topics covered during training and the exercises were seen mostly positive. Criticism was focused almost solely on technical problems, which occurred before or during the training sessions, such as loosing audio or video or an intermittent Internet connection. In this study online-based cognitive group training (OCGT) for older adults via video communication was confirmed by the participants to be a useful and positively received method to facilitate cognitive function. Participants that did not complete the training to the end did so due to time or technical problems. Since this type of training is rather cost effective and easily accessible and can be used at home, it is a favorable alternative to conventional face-to-face training. Training to better use these devices and technical support on hand is necessary to take care of participants during the group training.
  • Zeitschriftenartikel
    Automatic Detection of Visual Search for the Elderly using Eye and Head Tracking Data
    (KI - Künstliche Intelligenz: Vol. 31, No. 4, 2017) Dietz, Michael; Schork, Daniel; Damian, Ionut; Steinert, Anika; Haesner, Marten; André, Elisabeth
    With increasing age we often find ourselves in situations where we search for certain items, such as keys or wallets, but cannot remember where we left them before. Since finding these objects usually results in a lengthy and frustrating process, we propose an approach for the automatic detection of visual search for older adults to identify the point in time when the users need assistance. In order to collect the necessary sensor data for the recognition of visual search, we develop a completely mobile eye and head tracking device specifically tailored to the requirements of older adults. Using this device, we conduct a user study with 30 participants aged between 65 and 80 years ($$avg = 71.7,$$avg=71.7, 50% female) to collect training and test data. During the study, each participant is asked to perform several activities including the visual search for objects in a real-world setting. We use the recorded data to train a support vector machine (SVM) classifier and achieve a recognition rate of 97.55% with the leave-one-user-out evaluation method. The results indicate the feasibility of an approach towards the automatic detection of visual search in the wild.
  • Konferenzbeitrag
    Einflussfaktoren auf die Nutzung von Internetkommunikation älterer Menschen / Impact on the Use of Internetcommunication in Older Adults
    (i-com: Vol. 12, No. 2, 2013) Steinert, Anika; Haesner, Marten; Steinhagen-Thiessen, Elisabeth; Gövercin, Mehmet
    Im Gegensatz zu anderen Altersgruppen ist die Erfassung des Kommunikationsverhaltens älterer Menschen ein bisher vernachlässigtes Thema. Dabei besitzt Kommunikation besonders für ältere Menschen eine hohe Bedeutung. Insbesondere die Kommunikation im Internet kann eine Möglichkeit bieten, den häufig im Alter auftretenden Problemen wie Einsamkeit und Isolation entgegenzuwirken. Auf Grundlage einer Literaturrecherche wurde innerhalb der vorliegenden Studie ein Fragebogen entwickelt und 150 Personen über 60 Jahre zu ihrem Kommunikationsverhalten befragt. Neben soziodemografischen Angaben wurden Daten zur Kommunikationsdauer und -häufigkeit, zu Gesprächspartner und zur Nutzung verschiedener Kommunikationswege erhoben. Zudem wurden die Probanden zu Vor- und Nachteilen verschiedener Kommunikationswege befragt. Fast 50 % der Befragten gaben an, das Internet zur Kommunikation mit anderen zu nutzen. Hierbei beeinflussen insbesondere soziodemografische Faktoren wie das Alter, das Geschlecht und der Bildungsstand die Nutzung von Internetkommunikation. Weiterhin konnte festgestellt werden, dass die tägliche Nutzung des Telefons einen signifikanten Einfluss auf die Nutzung des Internets zur Kommunikation hat. Bisher wird das Internet erst von einem geringen Teil der Älteren genutzt. Um die Nutzung von Internetkommunikation in der älteren Bevölkerung zu stärken, ist es notwendig, die Faktoren zu kennen, welche diese beeinflussen.