Issues and Challenges in Ubiquitous Computing

By Kalle J. Lyytinen, Youngjin Yoo. 2002

636 citations recorded by the source corpus.

View Paper: https://www.semanticscholar.org/paper/c56c4923ac6880e2b98983c1f875b5a28559f357

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Citations in the corpus

Context-aware support for computer-supported ubiquitous learning (2004, background): “Context-aware computing [1] will help in the organization and mediation of social interactions wherever and whenever these contexts might occur [6].”
Switching on and off … : Does smartphone use obstruct the possibility to engage in recovery activities? (2014, background): “Advantages often associated with smartphone use are the facilitation of new forms of interaction and better collaboration between coworkers (Lyytinen & Yoo, 2002; Pica & Kakihara, 2003), increased flexibility in work schedules (Rood, 2005), and increased productivity (Locke, 2005).”
Strategic opportunities (and challenges) of algorithmic decision-making: A call for action on the long-term societal effects of 'datification' (2015, background): “However, this and other types of sensor are pervasive (Lyytinen and Yoo, 2002) (and invasive), and the data (e.g., the camera records) would be stored.”
Computing in Everyday Life: A Call for Research on Experiential Computing (2010, background): “Such embedded computing environments (Lyytinen and Yoo 2002a) are likely to change the way individuals experience the environments.”
Smartphone Use, Work–Home Interference, and Burnout: A Diary Study on the Role of Recovery (2014, background): “Smartphones may affect social relationships at the workplace by enabling new forms of interaction and collaboration between co-workers (Lyytinen & Yoo, 2002).”
To feel or not to feel: The role of affect in human-computer interaction (2003, background): “As the range of computer applications broadens, and as we approach the predicted ubiquitous computing environment (Lyytinen and Yoo, 2002), a new set of requirements begins to evolve for the human–machine interface.”
Context-Aware Computing, Learning, and Big Data in Internet of Things: A Survey (2018, background): “The objective of UbiComp is to provide a pervasive computing environment when users change locations and context [74], [75].”