Demographic change demands new concepts for the support of computer work by aging employees. In particular, computer interaction presents a barrier due to a lack of experience and age-specific changes in performance. This article presents a study in which different input devices (mouse, touch screen and eye-gaze input) were analyzed regarding their usability and according to age diversity. Furthermore, different Hybrid Interfaces that combine eye-gaze input with additional input devices were investigated.
Get full access to this article
View all access options for this article.
References
1.
ArningK.ZiefleM. (Development and validation of a computer expertise questionnaire for older adults, In: Behaviour and Information Technology.
2.
CzajaS. J.RogersW. A.FiskA. D.WalkerN. (1996). Aging and acquisition of Computer skills, In: Aging and Skilled Performance: Advances in Theory and Applications, 202–221.
GlennF. A.IavecchiaH. P.RossL. V.StokesJ. M.WeilandW. J.WeissD. Z.AllenL. (1986). Eyevoice-controlled interface. Proceedings of the Human Factors Society, 322–326.
5.
GoggingN. L.StelmachG. E. (1990). Age-related Differences in a Kinematic Analysis of Precued Movements, In: Canadian Journal on Aging9, 371–385.
6.
GrandtM.PfendlerC.MooshageO. (2003). Empirical Comparison of Five Input Devices for Anti-Air Warfare Operators. In: Proceedings of the 8th International Command and Control Research and Technology Symposium (ICCRTS) on Information Age Transformation, Washington DC.
7.
HawthornD. (1998). Psychophysical Aging and Human Computer Interface Design, In: Proceeding of the Australasian Computer Human Interaction Conference.
8.
IwaseH.MurataA. (2002). Empirical study on improvement of usability -for touch-panel for elderly - comparison of usability between touch-panel and mouse, IEEE International Conference on Systems, Man and Cybernetics, 252–257.
9.
JacobR. J. K. (1991). The use of eye movements in human-computer interaction techniques: What you look at is what you get. ACM Transactions on Information Systems, 9, 152–169.
10.
JacobR. J. K. (1993). Eye Movement-Based Human-Computer Interaction Techniques: Toward Non-Command Interfaces, In: Advances in Human-Computer Interaction. 4, 151–190.
MurataA. (2006). Eye-Gaze Input Versus Mouse: Cursor Control as a Function of Age, In: International Journal Of Human Computer Interaction21, 1–14.
13.
ParkD. C.SchwarzN. (2000). Cognitive Aging: A Primer, In: Psychology Press, 292.
14.
PitrellaF. D.KäpplerW.-D. (1988). Identification and Evaluation of Scale Design Principles in the Development of the Sequential Judgment, Extended Range Scale. Forschungsinstitut für Anthropotechnik. FAT-Bericht Nr. 80. Wachtberg.
15.
SengpielM.StruveD.DittbernerD.WandkeH. (in press). Entwicklung von Trainingsprogrammen für ältere Benutzer von IT- Systemen. Wirtschaftspsychologie aktuell, Themenheft “Alter und Arbeit”.
16.
SibertL. E.JacobR. J. K. (2000). Evaluation of eye gaze interaction. Proceedings of CHI2000, 282–288.
17.
SmithM. W.SharitJ.CzajaS. J. (1999). Aging; Motor Control, and the Performance of Computer Mouse Tasks, In: Human Factors, Hrs.: Human Factors and Ergonomics Society, Vol. 41, 3, 389–396.
18.
WalkerN.MilliansJ.WordenA. (1996). Mouse Acceleration and Performance of older Computer Users, In: Processings of the Human Factors and Ergonomics Society 40th Annual Meeting, 151–154.
19.
WareC.MikaelinH. H. (1987). An evaluation of an eye tracker as a device for computer input. Proc. ACM CHI87, 183–188.
20.
XiaoM.HyppoliteJ. R.PomplunM.SunkaraS.CarboneE. (2005). Compensating for the Eye-Hand Span Improves Gaze Control in Human-Computer Interfaces, In: Proceeding of the HCI 2005.
21.
ZhaiS.MorimotoC.IhdeS. (1999). Manual and Gaze Input Cascaded (MAGIC) Pointing. Proc. ACM CHI 99, 246–253.
