What is he best known for?
The fields of study he is best known for:
- Social science
- The Internet
- Software
Paul Dourish mainly investigates Human–computer interaction, Knowledge management, Ubiquitous computing, Computer-supported cooperative work and World Wide Web.
His study in the fields of Adaptation under the domain of Human–computer interaction overlaps with other disciplines such as Mythology.
His research in Knowledge management focuses on subjects like Everyday life, which are connected to Information privacy, Privacy by Design, Internet privacy and Distributed operating system.
His work on Context-aware pervasive systems as part of general Ubiquitous computing study is frequently linked to Cultural anthropologist, therefore connecting diverse disciplines of science.
His Computer-supported cooperative work research incorporates a variety of disciplines, including Space, Media space, Engineering ethics, Relevance and Activity awareness.
His World Wide Web study combines topics in areas such as User experience design, Usability, Focus and User requirements document.
His most cited work include:
- Where the Action Is: The Foundations of Embodied Interaction (2506 citations)
- Awareness and coordination in shared workspaces (2134 citations)
- What we talk about when we talk about context (1193 citations)
What are the main themes of his work throughout his whole career to date?
His primary scientific interests are in Human–computer interaction, Ubiquitous computing, Knowledge management, Computer-supported cooperative work and Ethnography.
His studies in Human–computer interaction integrate themes in fields like Action, Visualization, World Wide Web and Embodied cognition.
His Ubiquitous computing study integrates concerns from other disciplines, such as Computer security, Context, Mobile computing and Internet privacy.
His biological study spans a wide range of topics, including Workflow, Information seeking and Set.
He most often published in these fields:
- Human–computer interaction (24.24%)
- Ubiquitous computing (19.70%)
- Knowledge management (16.67%)
What were the highlights of his more recent work (between 2013-2021)?
- Ethnography (8.59%)
- Engineering ethics (6.57%)
- Internet privacy (8.08%)
In recent papers he was focusing on the following fields of study:
Paul Dourish mainly focuses on Ethnography, Engineering ethics, Internet privacy, Ubiquitous computing and Aesthetics.
His Engineering ethics research incorporates elements of Systems design, Reflexivity, Management science and Knowledge management.
His Knowledge management research includes elements of Task and Value sensitive design.
The various areas that he examines in his Ubiquitous computing study include Materiality, Flourishing, Imagination and Reading.
His research investigates the link between Social relation and topics such as Information science that cross with problems in Human–computer interaction.
He has included themes like Function, Mobile computing and Interpretation in his Human–computer interaction study.
Between 2013 and 2021, his most popular works were:
- Emerging sites of HCI innovation: hackerspaces, hardware startups & incubators (142 citations)
- Resistance is futile: reading science fiction alongside ubiquitous computing (132 citations)
- Algorithms and their others: Algorithmic culture in context: (101 citations)
In his most recent research, the most cited papers focused on:
- Social science
- The Internet
- Software
Management science, Materiality, Ethnography, Narrative and Aesthetics are his primary areas of study.
His study in Management science is interdisciplinary in nature, drawing from both Reflexivity, Interpersonal relationship and Engineering ethics.
His study looks at the intersection of Materiality and topics like Vision with Ubiquitous computing.
In his papers, Paul Dourish integrates diverse fields, such as Ubiquitous computing and Entrepreneurship.
His studies deal with areas such as Temporality and Meaning as well as Ethnography.
Paul Dourish interconnects Design fiction and Popular culture in the investigation of issues within Aesthetics.
This overview was generated by a machine learning system which analysed the scientist’s
body of work. If you have any feedback, you can
contact us
here.
