Abstract
We present the findings of a study to determine which interaction technique (touch control, voice control, gesture control, or activity control) is preferred by the elderly to control smart home devices. We conducted a workshop with eight senior citizens during which they were introduced to smart home devices in a smart living laboratory and learned how to control them. After experiencing the interaction techniques, they were asked about their experience, what they liked and disliked and which was their most and least favorite interaction technique for a specific scenario. We compared the results to their previous opinion gained from a postal survey conducted a year before the workshop to validate our assumption that senior citizens, when asked about which interaction technique they like most, will pick the technique they know best, i.e. touch control, instead of what would actually be the easiest and most intuitive way to control a smart home device. In the postal survey, most participants selected touch control as their favorite interaction technique. During the workshop it became apparent that many of them would prefer voice control or gesture control as it is close to how they would interact with a human being and they experienced it as a very natural, thus intuitive, form of communication.
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References
Dorofte, A.: OPINION: BMW Gesture Control really improves in-car operation. https://www.bmwblog.com/2019/11/08/opinion-bmw-gesture-control-really-improves-in-car-operation/. Accessed 07 Feb 2022
Alazrai, R., Zmily, A., Mowafi, Y.: Fall detection for elderly using anatomical-plane-based representation. In: 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, pp. 5916–5919 (2014). https://doi.org/10.1109/EMBC.2014.6944975
Ayubi, S.A., Sudiharto, D.W., Jadied, E.M., Aryanto, E.: The prototype of hand gesture recognition for elderly people to control connected home devices. J. Phys. Conf. Ser. 1201(1), 012042 (2019). https://doi.org/10.1088/1742-6596/1201/1/012042
Bara, C.-D., Cabrita, M., op den Akker, H., Hermens, H.J.: User interaction concepts in smart caring homes for elderly with chronic conditions. In: Geissbühler, A., Demongeot, J., Mokhtari, M., Abdulrazak, B., Aloulou, H. (eds.) ICOST 2015. LNCS, vol. 9102, pp. 38–49. Springer, Cham (2015). https://doi.org/10.1007/978-3-319-19312-0_4
Barnard, Y., Bradley, M.D., Hodgson, F., Lloyd, A.D.: Learning to use new technologies by older adults: perceived difficulties, experimentation behaviour and usability. Comput. Hum. Behav. 29(4), 1715–1724 (2013). https://doi.org/10.1016/j.chb.2013.02.006. https://www.sciencedirect.com/science/article/pii/S0747563213000721
Bejarano, A., Fernández, A., Jimeno, M., Salazar, A., Wightman, P.: Towards the evolution of smart home environments: a survey. Int. J. Autom. Smart Technol. 6, 105–136 (2016). https://doi.org/10.5875/ausmt.v6i3.1039
Chernbumroong, S., Cang, S., Atkins, A., Yu, H.: Elderly activities recognition and classification for applications in assisted living. Expert Syst. Appl. 40(5), 1662–1674 (2013). https://doi.org/10.1016/j.eswa.2012.09.004
Dickinson, A., Arnott, J., Prior, S.: Methods for human - computer interaction research with older people. Behav. Inf. Technol. 26(4), 343–352 (2007). https://doi.org/10.1080/01449290601176948
Jakob, D., Wilhelm, S., Gerl, A., Ahrens, D.: A quantitative study on awareness, usage and reservations of voice control interfaces by elderly people. In: Stephanidis, C., et al. (eds.) HCII 2021. LNCS, vol. 13096, pp. 237–257. Springer, Cham (2021). https://doi.org/10.1007/978-3-030-90328-2_15
Kobayashi, M., Hiyama, A., Miura, T., Asakawa, C., Hirose, M., Ifukube, T.: Elderly user evaluation of mobile touchscreen interactions. In: Campos, P., Graham, N., Jorge, J., Nunes, N., Palanque, P., Winckler, M. (eds.) INTERACT 2011. LNCS, vol. 6946, pp. 83–99. Springer, Heidelberg (2011). https://doi.org/10.1007/978-3-642-23774-4_9
Lentzas, A., Vrakas, D.: Non-intrusive human activity recognition and abnormal behavior detection on elderly people: a review. Artif. Intell. Rev. 53(3), 1975–2021 (2019). https://doi.org/10.1007/s10462-019-09724-5
Sahlab, N., Sailer, C., Jazdi, N., Weyrich, M.: Designing an elderly-appropriate voice control for a pill dispenser (2020). https://doi.org/10.18416/AUTOMED.2020
Schak, M., Blum, R., Bomsdorf, B.: Smart home for the elderly - a survey of desires, needs, and problems. In: Gao, Q., Zhou, J. (eds.) HCII 2022. LNCS, pp. 107–121. Springer, Cham (2022). https://doi.org/10.1007/978-3-031-05654-3_7
Silva, P.A., Nunes, F.: 3 x 7 usability testing guidelines for older adults. In: MexIHC 2010 (2010)
Sucerquia, A., López, J.D., Vargas-Bonilla, J.F.: Real-life/real-time elderly fall detection with a triaxial accelerometer. Sensors 18(4) (2018). https://doi.org/10.3390/s18041101
Thakur, N., Han, C.Y.: Framework for an intelligent affect aware smart home environment for elderly people. CoRR abs/2106.15599 (2021). https://arxiv.org/abs/2106.15599
Vorwerg, S., Eicher, C., Ruser, H., Piela, F., Obée, F., Kaltenbach, A., Mechold, L.: Requirements for gesture-controlled remote operation to facilitate human-technology interaction in the living environment of elderly people. In: Zhou, J., Salvendy, G. (eds.) HCII 2019. LNCS, vol. 11592, pp. 551–569. Springer, Cham (2019). https://doi.org/10.1007/978-3-030-22012-9_39
Wang, R.J., Lai, S.C., Jhuang, J.Y., Ho, M.C., Shiau, Y.C.: Development of smart home gesture-based control system. Sens. Mater. 33, 3459 (2021). https://doi.org/10.18494/SAM.2021.3522
Zeckhauser, R., Samuelson, W.: Status quo bias in decision-making. J. Risk Uncertain. 1, 7–59 (1988). https://doi.org/10.1007/BF00055564
Acknowledgement
The authors acknowledge the financial support by the Federal Ministry of Education and Research of Germany (BMBF) in the framework of “Innovative Hochschule” (project number 03IHS052, Regionales Innovationszentrum Gesundheit und Lebensqualität Fulda (RIGL), Umsetzungsprojekt GetAll - Gesundheitstechnik für die Alltagsbewältigung).
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Schak, M., Bürkner, I., Blum, R., Bomsdorf, B. (2023). Smart Home for the Elderly - A Comparative Study on Interaction Techniques. In: Gao, Q., Zhou, J. (eds) Human Aspects of IT for the Aged Population. HCII 2023. Lecture Notes in Computer Science, vol 14043. Springer, Cham. https://doi.org/10.1007/978-3-031-34917-1_5
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