Is Implicit Authentication on Smartphones Really Popular? On Android Users’ Perception of “Smart Lock for Android”


연구 분야: Analysis



학회: MobileHCI '20: 22nd International Conference on Human-Computer Interaction with Mobile Devices and Services


초록

Implicit authentication (IA) on smartphones has gained a lot of attention from the research community over the past decade. IA leverages behavioral and contextual data to identify users without requiring explicit input, and thus can alleviate the burden of smartphone unlocking. The reported studies on users’ perception of IA have painted a very positive picture, showing that more than 60% of their respective participants are interested in adopting IA, should it become available on their devices. These studies, however, have all been done either in lab environments, or with low- to medium-fidelity prototypes, which limits their generalizability and ecological validity. Therefore, the question of “how would smartphone users perceive a commercialized IA scheme in a realistic setting?” remains unanswered. To bridge this knowledge gap, we report on the findings of our qualitative user study (N = 26) and our online survey (N = 343) to understand how Android users perceive Smart Lock (SL). SL is the first and currently only widely-deployed IA scheme for smartphones. We found that SL is not a widely adopted technology, even among those who have an SL-enabled phone and are aware of the existence of the feature. Conversely, we found unclear usefulness, and perceived lack of security, among others, to be major adoption barriers that caused the SL adoption rate to be as low as 13%. To provide a theoretical framework for explaining SL adoption, we propose an extended version of the technology acceptance model (TAM), called SL-TAM, which sheds light on the importance of factors such as perceived security and utility on SL adoption.


Author Profile
Masoud Mehrabi Koushki

University of British Columbia Canada

Canada
Author Profile
Borke Obada-Obieh

University of British Columbia Canada

Canada
Author Profile
Jun-ho Huh

Samsung Research Republic of Korea

Korea

📄 논문 정보

발행 연도 2020년
인용수 9
출판 국가 Korea, Canada
사이트 ACM
좋아요 수 0

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