Detecting privacy in attention aware system

Abstract

Privacy and security are important issues for acceptation of ambient technology. For this reason, we propose a detector of relations between users and objects based on attention aware system. This detector is inspired by social sciences and completes the representation -driven model mainly used in ontology-based approaches. We discuss the role of context in these approaches and managing privacy. An attention model is derived from the gravitation model and cognitive psychology approaches. This model exploits contextual elements such as position, speed and saliency of objects in a scene to estimate shared attention. An application has been developed to demonstrate the efficiency of this system when managing windows applications, while guaranteeing the security and privacy of users.

Starting engagement detection towards a companion robot using multimodal features

“…[27] proposes an engagement estimator using head pose associated to audio features in a face-to face conversational agent sitting interaction. Some articles invoke interest of sound localization in attention or focus estimation [23].…”

Ontologies for Privacy Requirements Engineering: A Systematic Literature Review

“…1 ----9 ACM 11 [253] ----1 1 10 ACM 13 [181] 1 --1 -11 ACM 14 [144] 1 1 1 1 -4 12 ACM 16 [28] 1 1 1 1 -13 ACM 17 [53] 1 ----1 14 ACM 18 [262] 1 ----15 ACM 19 [168] 1 ----1 16 ACM 22 [226] 1 1 -1 -17 ACM 23 [176] 1 --1 1 3 18 ACM 24 [227] -----19 ACM 26 [157] 1 ----1 20 ACM 28 [206] -----21 ACM 30 [258] 1 1 -1 -3 22 ACM 32 [5] 1 1 ---23 ACM 34 [80] ------24 ACM 35 [211] 1 1 1 1 -25 ACM 36 [22] --1 --1 26 ACM 37 [54] -----27 ACM 40 [248] 1 1 1 -1 4 28 IEEE 03 [142] 1 1 ---29 IEEE 09 [193] 1 --1 -2 30 IEEE 11 [151] 1 ----31 IEEE 12 [221] 1 1 1 1 1 5 32 IEEE 13 [56] -1 ---33 IEEE 14 [259] 1 ---1 2 34 IEEE 15 [235] 1 1 1 -1 35 IEEE 18 [223] 1 1 -1 -3 36 IEEE 19 [86] 1 1 ---37 IEEE 21 [249] 1 -1 1 -3 38 IEEE 25 [44] 1 --1 1 39 IEEE 26 [4] -----0 40 IEEE 28 [52] 1 ----41 IEEE 30 [160] 1 --1 -2 42 IEEE 33 [95] -----43 IEEE 35 [39] 1 1 -1 -3 44 IEEE 36 [209] 1 ----45 IEEE 38 [147] 1 --1 -2 46 IEEE 41 [96] 1 ----47 IEEE 42 [82] 1 --1 1 3 48 IEEE 48 [50] 1 --1 -49 IEEE 49 [21] 1 ---1 2 50 IEEE 50 [100] 1 1 1 1 1 51 IEEE 51 [110] 1 1 1 --3 52 IEEE 52 [105] 1 ----53 IEEE 54 [25] 1 --1 1 3 54 IEEE 56…”