Acceptance and Preferences of Using Ambient Sensor-Based Lifelogging Technologies in Home Environments

Sensors, vol. 21, pp. 8297

Abstract

Diverse sensor-based technologies can be used to track (older and frail) people's movements and behaviors in order to detect anomalies and emergencies. Using several ambient sensors and integrating them into an assisting ambient system allows for the early identification of emergency situations and health-related changes. Typical examples are passive infrared sensors (PIR), humidity and temperature sensors (H&T) as well as magnetic sensors (MAG). So far, it is not known whether and to what extent these three specific sensor types are perceived and accepted differently by future users. Therefore, the present study analyzed the perception of benefits and barriers as well as acceptance of these specific sensor-based technologies using an online survey (reaching N=312 German participants). The results show technology-related differences, especially regarding the perception of benefits. Furthermore, the participants estimated the costs of these sensors to be higher than they are, but at the same time showed a relatively high willingness to pay for the implementation of sensor-based technologies in their home environment. The results enable the derivation of guidelines for both the technical development and the communication and information of assisting sensor-based technologies and systems.

Authors 5

1. Julia Offermann corresponding Aachen Human-Computer Interaction Center

   RWTH Aachen University

   Affiliation as printed

   Human-Computer Interaction Center, RWTH Aachen University, Campus-Boulevard 57, 52074 Aachen, Germany

2. Wiktoria Wilkowska Aachen Human-Computer Interaction Center

   RWTH Aachen University

   Affiliation as printed

   Human-Computer Interaction Center, RWTH Aachen University, Campus-Boulevard 57, 52074 Aachen, Germany

3. Angelica Poli

   Marche Polytechnic University

   Affiliation as printed

   Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy

4. Susanna Spinsante

   Marche Polytechnic University

   Affiliation as printed

   Department of Information Engineering, Università Politecnica delle Marche, 60131 Ancona, Italy

5. Martina Ziefle Aachen Human-Computer Interaction Center

   RWTH Aachen University

   Affiliation as printed

   Human-Computer Interaction Center, RWTH Aachen University, Campus-Boulevard 57, 52074 Aachen, Germany