nach oben

Erschienen in:

2018 | OriginalPaper | Buchkapitel

Influence of Personal Characteristics and Device Properties on Wearable’s Rank Order

verfasst von : Thea Radüntz, Uwe Rose

Erschienen in: Intelligent Human Systems Integration

Verlag: Springer International Publishing

Einloggen

Aktivieren Sie unsere intelligente Suche, um passende Fachinhalte oder Patente zu finden.

search-config

KI-gestützte Suche

Aus

Abstract

Emerging sensor technology and mobile devices offer the possibility to capture users’ current state more easily. However, the registration of users’ biosignals is still a challenge because of the lack of user acceptance.

In this article, we focus on users’ perceptions about wearable devices for registering the electroencephalogram (EEG). We consider subjects’ rankings of the wearable devices and relate them to personal characteristics on the one hand and device properties on the other. Finally, we show for each device separately which evaluation criteria accounted for the given ranking.

Thereby, our results indicated that subjects’ preference is influenced the most by the properties of the devices and to a lesser extent by the personal characteristics of the user. The results can contribute to the understanding of users’ device preference and advice developers of wearable technology regarding users’ needs.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Online-Abonnement

Mit Springer Professional "Wirtschaft+Technik" erhalten Sie Zugriff auf:

über 102.000 Bücher
über 537 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Finance + Banking
Management + Führung
Marketing + Vertrieb
Maschinenbau + Werkstoffe
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Technik"

Online-Abonnement

Mit Springer Professional "Technik" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 390 Zeitschriften

aus folgenden Fachgebieten:

Automobil + Motoren
Bauwesen + Immobilien
Business IT + Informatik
Elektrotechnik + Elektronik
Energie + Nachhaltigkeit
Maschinenbau + Werkstoffe

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Springer Professional "Wirtschaft"

Online-Abonnement

Mit Springer Professional "Wirtschaft" erhalten Sie Zugriff auf:

über 67.000 Bücher
über 340 Zeitschriften

aus folgenden Fachgebieten:

Bauwesen + Immobilien
Business IT + Informatik
Finance + Banking
Management + Führung
Marketing + Vertrieb
Versicherung + Risiko

Jetzt Wissensvorsprung sichern!

Jetzt informieren

Vorheriges Kapitel Research on the Construction of the Hierarchical Classification Model of the Urban Intelligent Lighting Appliance (UILA) Based on User Needs

Nächstes Kapitel Comparative Analysis of the Quantitative Parameters of the Different Shapes of the Heart in Human Fetuses

Knight, J.F., Deen-Williams, D., Arvanitis, T.N., Baber, C., Sotiriou, S., Anastasopoulou, S., Gargalakos, M.: Assessing the wearability of wearable computers. In: 10th IEEE International Symposium on Wearable Computers, pp. 75–82. IEEE (2006)

Wright, R., Keith, L.: Wearable technology: if the tech fits, wear it. J. Electron. Resour. Med. Libr. 11(4), 204–216 (2014)CrossRef

Rogers, J., Johnstone, S., Aminov, A., Donnelly, J., Wilson, P.H.: Test-retest reliability of a single-channel, wireless EEG system. Int. J. Psychophysiol. 106, 87–96 (2016)CrossRef

Callan, D.E., Durantin, G., Terzibas, C.: Classification of single-trial auditory events using dry-wireless EEG during real and motion simulated flight. Front. Syst. Neurosci. 9(11), (2015)

Ekandem, J., Davis, T., Alvarez, I., James, M., Gilbert, J.: Evaluating the ergonomics of BCI devices for research and experimentation. Ergonomics 5, 592–598 (2012)CrossRef

Hairston, W., Whitaker, K., Ries, A., Vettel, J., Bradford, J., Kerick, S., McDowell, K.: Usability of four commercially-oriented EEG systems. J. Neural Eng. 11(4), 046018 (2014)CrossRef

Reed, K., Doty, H.D., May, D.R.: The impact of aging on self-efficacy and computer skill acquisition. J. Manag. Issues 17(2), 212–228 (2005)

Marquie, J.C., Jourdan-Boddaert, L., Huet, N.: Do older adults underestimate their actual computer knowledge? Behav Inf. Technol. 21(4), 273–280 (2002)CrossRef

Gaul, S., Ziefle, M.: Smart home technologies: insights into generation-specific acceptance motives. In: Holzinger, A., Miesenberger, K. (eds.) HCI and Usability for e-Inclusion, USAB 2009. LNCS, vol. 5889, pp. 312–332. Springer, Heidelberg (2009)

10.

Baldi, R.A.: Training older adults to use the computer: issues related to the workplace. Attitudes Train. Educ. Gerontol. 23, 453–465 (1997)CrossRef

11.

Busch, T.: Gender differences in self-efficacy and attitudes towards computers. J. Educ. Comput. Res. 12, 147–158 (1995)CrossRef

12.

Schumacher, P., Morahan-Martin, J.: Gender, internet and computer attitudes and experiences. Comput. Hum. Behav. 17, 95–110 (2001)CrossRef

13.

Wasinger, R., Krüger, A.: Modality preferences in mobile and instrumented environments. In: Proceedings of the 11th International Conference on Intelligent User Interfaces, IUI 2006, New York, USA, pp. 336–338 (2006)

14.

Schüssel, F., Honold, F., Weber, M.J.: Influencing Factors on Multimodal Interaction at Selection Tasks. Open Access Repositorium der Universität Ulm. http://dx.doi.org/10.18725/OPARU-2425

15.

De Angeli, A., Gerbino, W., Cassano, G., Petrelli, D.: Visual display, pointing, and natural language: the power of multimodal interaction. In: Proceedings of the Working Conference on Advanced Visual Interfaces, AVI 1998, pp. 164–173. New York, USA (1998)

16.

Reis, T., de Sá, M., Carriço, L.: Multimodal interaction: real context studies on mobile digital artefacts. In: Pirhonen, A., Brewster, S. (eds.) Haptic and Audio Interaction Design. HAID 2008, LNCS, vol. 5270, pp. 60–69. Springer, Berlin, Heidelberg (2008)CrossRef

17.

Nitsch, V., Glassen, T.: Investigating the effects of robot behavior and attitude towards technology on social human-robot interactions. In: 24th IEEE International Symposium on Robot and Human Interactive Communication (RO-MAN), Kobe, pp. 535–540 (2015)

18.

Mertens, A., Wille, M., Theis, S., Rasche, P., Finken, L., Schlick, C.M.: Attitudes of elderly people towards assistive system: influence of amortization barriers on the adherence in technically assisted rehabilitation and the diffusion of health technologies. In: Proceedings of 19th Triennial Congress of the IEA, Melbourne (2015)

19.

Karrer, K., Glaser, C., Clemens, C., Bruder, C.: Technikaffinität erfassen – der Fragebogen TA-EG. In: Lichtenstein, A., Stößel, C., Clemens, C. (eds.) Der Mensch im Mittelpunkt technischer Systeme. 8. Berliner Werkstatt Mensch-Maschine-Systeme, ZMMS Spektrum, vol. 22, pp. 196–201. VDI Verlag GmbH, Düsseldorf (2009)

Titel: Influence of Personal Characteristics and Device Properties on Wearable’s Rank Order
verfasst von: Thea Radüntz
Uwe Rose
Verlag: Springer International Publishing
Buch: Intelligent Human Systems Integration
Print ISBN: 978-3-319-73887-1

Electronic ISBN: 978-3-319-73888-8

Copyright-Jahr: 2018
DOI: https://doi.org/10.1007/978-3-319-73888-8_50

Springer Professional

Abstract

Bitte loggen Sie sich ein, um Zugang zu Ihrer Lizenz zu erhalten.

Sie haben noch keine Lizenz? Dann Informieren Sie sich jetzt über unsere Produkte:

Springer Professional "Wirtschaft+Technik"

Springer Professional "Technik"

Springer Professional "Wirtschaft"