Jonathan Grudin’s research while affiliated with University of Washington and other places

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Publications (236)


ChatGPT and Chat History: Challenges for the New Wave
  • Article

May 2023

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7 Reads

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13 Citations

Computer

Jonathan Grudin

Understanding conversational agents based on large language models can benefit from examining how earlier generations of conversational agents engaged with people and explored commercial opportunities.



Using technology to improve communication in panels

November 2022

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7 Reads

interactions

The Interactions website (interactions.acm.org) hosts a stable of bloggers who share insights and observations on HCI, often challenging current practices. Each issue we'll publish selected posts from some of the leading and emerging voices in the field.



A chronology of SIGCHI conferences: 1983 to 2022
  • Article
  • Full-text available

November 2022

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79 Reads

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6 Citations

interactions

Download



Human–Computer Integration: Towards Integrating the Human Body with the Computational Machine

January 2022

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32 Reads

Human-Computer Integration (HInt) is an emerging paradigm in the human-computer interaction (HCI) field. Its goal is to integrate the human body and the computational machine. Because HInt is not an isolated area of research, the authors draw upon discussions from related perspectives, including cybernetics, augmentation, cyborgs, and wearables. While these prior works provide a basis for HInt, and some of their associated challenges also apply to HInt, the authors focus on articulating the HInt challenges that are of particular relevance to HCI. The monograph makes three contributions: First, the authors apply two key dimensions from psychology – bodily agency and bodily ownership – to enhance our understanding of HInt systems. Second, they use these two dimensions to provide new perspectives on user integration experiences and to develop an integration systems design space. Third, they use the design space and its two dimensions to articulate HInt’s key challenges and group these challenges into four areas: design, society, identity, and technology. Ultimately, the work aims to facilitate a more structured investigation into human body and computational machine integration.




Citations (75)


... LLMs are built on the transformer architecture, a neural network-based architecture that uses a self-attention mechanism to extract relevant context and produce compelling responses to human inputs, even in tasks for which it was not specifically trained (Li et al., n.d.). While neural networks have been discussed for many decades and the transformer was invented in 2017 (Li et al., n.d.), the LLM reached public prominence with the release of ChatGPT in 2022 (Grudin 2023). In recent years, there has been an increase in the development of LLMs which has led to a surge in the investigation of their utility in various fields. ...

Reference:

Artificial Intelligence Large Language Models Are Nearly Equivalent to Fourth-Year Orthopaedic Residents on the Orthopaedic In-Training Examination: A Cause for Concern or Excitement?
ChatGPT and Chat History: Challenges for the New Wave
  • Citing Article
  • May 2023

Computer

... Some social annotation tools provide more advanced social networking functions, such as upvoting an annotation and grouping [21,44]. A body of research has identified the benefits of social annotation tools to students' learning outcomes [24,40], engagement in group discussions [33], the quality of discussion [7], and deep exploration of a specific topic [46]. As online learning has been significantly accelerated by the COVID-19 pandemic, it becomes even more important to further understand how students engage in social annotation so to inform school practices that support students' online learning. ...

Supporting Interaction Outside of Class: Anchored Discussions vs. Discussion Boards
  • Citing Chapter
  • January 2023

... We are currently writing this proposal in December 2022, as Interactions' November-December 2022 issue is arriving on our desks and screens marking the 40 year anniversary of SIGCHI [24]. The issue not only provides a view of the past, present and future of SIGCHI [14] but also highlights the ways in which SIGCHI has become a global organization [22]. The internationalization of SIGCHI membership and in turn our CHI community, can be attributed to: (1) the active efforts of researchers to establish local chapters that are building and supporting HCI research communities around the world collaborating with (2) SIGCHI Initiatives to build these chapters and facilitate further collaborations across geographical divides. ...

SIGCHI at 40: celebrations and aspirations
  • Citing Article
  • November 2022

interactions

... This work follows in a line of reflexive theoretical work at CHI (e.g., [4,7,11,30,93,113]), as well as calls for greater engagement with market processes (e.g., [62,63]). Rather than a disciplinary-or conference-oriented conceptualization of the field (e.g., [47,57]), this work theorizes CHI as tightly-coupled with capital via technological capture. This work advances a theoretical position as a type of HCI contribution [109]; it is also in dialogue with applied work on capital's influence on research [37,45,104,106,110]. ...

A chronology of SIGCHI conferences: 1983 to 2022

interactions

... The results of these works suggest interesting ways forward for control in HCI research, in particular, how the design of integrated systems can consider experiential aspects, facilitating playful control experiences. Ultimately, with our work, we want to enhance our knowledge around the design of integrated control experiences to help people understand who they are, who they want to become, and how to get there [19]. Since the emergence of the notion of body-machine couplings dating back to the 1950s (e.g., Clynes and Kline, 1960), interface design and engineering has increasingly explored developing systems with varying levels of human control (e.g., full, partial) and machine control (e.g., autonomous, partial) (e.g., Casado, 2013). ...

Human–Computer Integration: Towards Integrating the Human Body with the Computational Machine
  • Citing Article
  • January 2022

Foundations and Trends® in Human-Computer Interaction

... Rooted in a crowdsourcing community of 30 million digital workers [15], macrotask crowdsourcing is flourishing in China. According to Wang et al. [46,47,50], most of these workers do not perform individually; rather they self-organize into small companies and teams explicitly focused on undertaking complex crowdwork. These structures, known as "crowdfarms" -a mix between "crowdsourcing" and "farming work out" -are rising in China, due to a unique mix of three favorable conditions. ...

The Dawn of Crowdfarms

Communications of the ACM

... While some artists assimilate the computer to their traditional media (treating it like a sophisticated brush or a fancy camera), many others recognize this machinic element as the tip of a techno-cultural iceberg leading to a post-human era. At the same time, research on the quest for a human-computer integration, that subsumes the human-computer interaction approach [28], gets meaning and a source of inspiration from those artistic adventures. ...

Next Steps for Human-Computer Integration

... Numerous surveys on crowdsourcing have been published in recent years. Some provide a general overview of crowdsourcing [209], while others focus on specific aspects such as 1) certain steps in the crowdsourcing process (e.g., worker organization [66] and task design [210]); 2) specific types of tasks (e.g., writing tasks [127] and medical image analysis [211]), and 3) specific research fields (e.g., computing vision [212] and natural language processing [171]). ...

An Examination of the Work Practices of Crowdfarms

... Through this work, we as a community aim to address classic CSCW problems like connecting people with similar interests and goals, helping them have conversations about important topics, minimizing harmful content, and more. As outlined in the joint UIST+CSCW panel at the 2020 conference [5], the decades of systems research on collaborative and social computing have led to a richer understanding of how to design these systems and important improvements in the social tools we use daily. ...

UIST+CSCW: A Celebration of Systems Research in Collaborative and Social Computing
  • Citing Conference Paper
  • October 2020