CarSafe

You, Chuang-Wen; Montes-de-Oca, Martha; Bao, Thomas J.; Lane, Nicholas D.; Lu, Hong; Cardone, Giuseppe; Torresani, Lorenzo; Campbell, Andrew T.

doi:10.1145/2370216.2370360

Cited by 61 publications

(2 citation statements)

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“…It can take many forms. In the case of intelligent agents it can be a very abstract, machine-readable web interface [46], a human-readable application [47] or even a humanoid template with elaborated expression capabilities [48]. For the frontend to interact with the environment, it requires two technical components; sensors and actuators.…”

Section: Layers Of Agentsmentioning

confidence: 99%

Machine Learning in Artificial Intelligence: Towards a Common Understanding

Kühl¹,

Goutier²,

Hirt³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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The application of "machine learning" and "artificial intelligence" has become popular within the last decade. Both terms are frequently used in science and media, sometimes interchangeably, sometimes with different meanings. In this work, we aim to clarify the relationship between these terms and, in particular, to specify the contribution of machine learning to artificial intelligence. We review relevant literature and present a conceptual framework which clarifies the role of machine learning to build (artificial) intelligent agents. Hence, we seek to provide more terminological clarity and a starting point for (interdisciplinary) discussions and future research.

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Section: Layers Of Agentsmentioning

confidence: 99%

Machine Learning in Artificial Intelligence: Towards a Common Understanding

Kühl¹,

Goutier²,

Hirt³

et al. 2019

Proceedings of the Annual Hawaii International Conference on System Sciences

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“…activity [133] phys. activity [38] device use [83] car speed [35] emotions [177] energy use [5] coughing [124] device position [79] device position [166] whereabouts [56] lung function [123] emotions [46] stress [134] location [163] dangerous driving [246] appliance usage [250] no. people [243] firefighters [63] walking [25] heart rate [213] transport mode [192] skin disease [77] sleep [80] car position [135] tooth brushing [114] running [88] academic performance [231] boredom [172] nursing activity [99] depression [33] alertness [1] generic [242] lung function [106] blood [229] emotions [149] mental health [230] alcohol [11] skin disease [137] blood [81] brain injury [137] emotions [143] engagement [171] heart rate [148] schizophrenia [232] whereabouts …”

Section: Ubiquitous Computing and Mobile Sensingmentioning

confidence: 99%

Computer-Cognition Interfaces: Sensing and influencing mental processes with computer interaction

Mottelson¹

2019

Preprint

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The variety of information about users hidden in the details of interaction data is increasingly being utilized for recognizing complex mental processes. Digital systems can correspondingly influence mental processes of users, paving the way for new interactive systems that interface with the human mind. This thesis presents advances to such interfaces: through four papers I show how human affect and cognition can be sensed and influenced computationally.Paper 1 presents two studies that together show that affect influences mobile interaction, which allows for binary discrimination between neutral and positive affect using sensor led machine learning classification. Paper 2 builds upon the methods presented in Paper 1 and extends the classification domain to dishonesty, also using mobile interaction data. The paper shows across three studies how dishonesty and honesty vary in interactional details, and how this difference can be utilized for estimating the veracity of user behavior based on features that are engineered by mobile interaction data.Paper 3 presents a feasibility study of conducting virtual reality studies outside a laboratory, to increase heterogeneity and power. The paper shows through two studies how a range of VR tasks can be conducted without the use of an immediate experimenter, with participants carrying out experiments themselves. In Paper 4 I apply this methodology, and conduct a VR study with more than 200 participants to study how manipulations to avatars can influence affect responses. The paper presents evidence supporting the link between affect and avatars, and additionally discusses the interplay between positive affect and body ownership.

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