Charting past, present, and future research in ubiquitous computing

By Gregory D. Abowd, Elizabeth D. Mynatt. ACM Trans. Comput. Hum. Interact., 2000

1,705 citations recorded by the source corpus.

Subfields: Computer Vision and Pattern Recognition, Information Systems and Management, Human-Computer Interaction

View Paper: https://www.semanticscholar.org/paper/976dac0c95a410843f8861ecd5ef168bda2afe2e

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Citations in the corpus

Using a Live-In Laboratory for Ubiquitous Computing Research (2006, background): “Technologies that can automatically detect and respond to context may permit the development of useful, novel, and user-friendly computational devices for the home setting [1].”
Systematic review of smartphone-based passive sensing for health and wellbeing (2017, background): “The concept of passive sensing comes from extensive research conducted in the ﬁ eld of ubiquitous computing, where it is also called ‘ context-aware computing ’ [9].”
Intelligent Space — concept and contents (2002, methodology): “The trajectory of ubiquitous computing research since the work of Weiser is well summarized in [6].”
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “Dey and Abowd [94], Abowd and Mynatt [95], and Sanchez et al. [96] deﬁned context as: “any information that can be used to characterize the situation of an entity.”
Moving on from Weiser's Vision of Calm Computing: Engaging UbiComp Experiences (2006, background): “The environment has been augmented with various computational resources to provide information and services, when and where desired, with the implicit goal of “assisting everyday life and not overwhelming it” [1].”
Making sense of sensing systems: five questions for designers and researchers (2002, background): “…of innovations in interaction mechanisms best characterized overall as sensing systems; including Ubiquitous Computing (Ubicomp) systems [1, 30]; Speech and audio input [18, 27]; Gesture-based input [31] Tangible Interfaces or ‘Phicons’ (Physical Icons) [17] and Context Aware computing [1, 9, 18].”
Simultaneous Tracking and Activity Recognition (STAR) Using Many Anonymous, Binary Sensors (2005, methodology): “The Aware Home project at Georgia Tech has built a house instrumented with ubiquitous computing technology for a variety of experiments [ 2 ].”
At Home with Ubiquitous Computing: Seven Challenges (2001, background): “Abowd and Mynatt [2] that there is a need for studies of domestic settings to inform”
A Survey on Internet of Things From Industrial Market Perspective (2015, background): “Abowd and Mynatt [25] have identiﬁed the ﬁve W’s (Who, What, Where, When, Why) as the minimum information that is necessary to understand context.”
Context Aware Computing for The Internet of Things: A Survey (2013, background): “Abowd and Mynatt [78] identified the five W’s (Who, What, Where, When, Why) as the minimum information that is necessary to understand context.”
Is It Worth the Hassle? Exploring the Added Value of Evaluating the Usability of Context-Aware Mobile Systems in the Field (2004, background): “Exceptions include studies comparing techniques yet exists within the field 62 J. Kjeldskov et al. While the literature study [10] also revealed that 71% of mobile device evaluation was done through laboratory experiments and only 19% through field studies, it in the field [1, 5, 8].”
Project Jacquard: Interactive Digital Textiles at Scale (2016, background): “Wearable and ubiquitous computing [7, 41, 43, 44], Internet-of-Things [46, 47, 45], augmented reality [48, 49] and other advanced technologies aim to seamlessly merge the everyday physical world and digital computing.”
Reconfigurable Context-Sensitive Middleware for Pervasive Computing (2002, background): “Ad hoc communication (2) Context-sensitive ad hoc communication (3)”
City Data Fusion: Sensor Data Fusion in the Internet of Things (2015, background): “Abowd and Mynatt [1] have identified 5Ws (who, what, where, when, why) as the minimum set of context information that need to be handled in a pervasive computing environment.”