Lev Tankelevitch’s research while affiliated with Cancer Research UK Cambridge Institute and other places

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Publications (15)


Hybridge: Bridging Spatiality for Inclusive and Equitable Hybrid Meetings
  • Article

November 2024

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4 Reads

Proceedings of the ACM on Human-Computer Interaction

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Lev Tankelevitch

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Becky Spittle

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[...]

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Hybrid meetings limit inclusion for remote participants. The Hybridge experimental system provides different interfaces for remote and room endpoints, focusing on improving inclusion via shared spatiality and remote agency. In-room participants see remotes on displays around a table, and remotes see video integrated into a digital twin. Remotes can choose where to appear and from where they view the room. We tested Hybridge in a within-subjects study of group survival tasks. An in-person condition was followed by a counterbalanced order of hybrid traditional videoconferencing ("Gallery") and Hybridge. We found that co-presence and agency differences between in-room and remotes were alleviated in Hybridge but remained in Gallery. Physical presence for remotes was higher in Hybridge than Gallery. Conversation flow was better in Hybridge than Gallery, but ease of awareness was not different. We argue that asymmetry should be embraced when designing hybrid meeting systems, with inclusivity achieved by tailoring features for the needs of different endpoints.


Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction

October 2024

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39 Reads

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9 Citations


"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study

July 2024

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7 Reads

Generative AI tools can help users with many tasks. One such task is data analysis, which is notoriously challenging for non-expert end-users due to its expertise requirements, and where AI holds much potential, such as finding relevant data sources, proposing analysis strategies, and writing analysis code. To understand how data analysis workflows can be assisted or impaired by generative AI, we conducted a study (n=15) using Bing Chat via participatory prompting. Participatory prompting is a recently developed methodology in which users and researchers reflect together on tasks through co-engagement with generative AI. In this paper we demonstrate the value of the participatory prompting method. We found that generative AI benefits the information foraging and sensemaking loops of data analysis in specific ways, but also introduces its own barriers and challenges, arising from the difficulties of query formulation, specifying context, and verifying results.




The CoExplorer Technology Probe: A Generative AI-Powered Adaptive Interface to Support Intentionality in Planning and Running Video Meetings

May 2024

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6 Reads

Effective meetings are effortful, but traditional videoconferencing systems offer little support for reducing this effort across the meeting lifecycle. Generative AI (GenAI) has the potential to radically redefine meetings by augmenting intentional meeting behaviors. CoExplorer, our novel adaptive meeting prototype, preemptively generates likely phases that meetings would undergo, tools that allow capturing attendees' thoughts before the meeting, and for each phase, window layouts, and appropriate applications and files. Using CoExplorer as a technology probe in a guided walkthrough, we studied its potential in a sample of participants from a global technology company. Our findings suggest that GenAI has the potential to help meetings stay on track and reduce workload, although concerns were raised about users' agency, trust, and possible disruption to traditional meeting norms. We discuss these concerns and their design implications for the development of GenAI meeting technology.






Citations (7)


... Additionally, more and better synthesized design-oriented knowledge that captures how to design for human agency, oversight, and AI literacy is pending. To date, research is revisiting the value of these design principles, e.g., in the context of AI (Long and Magerko, 2020) or generative AI (Simkute et al., 2024;Weisz et al., 2024). However, these design principles need clearer examples of how to operationalize them concretely within applications. ...

Reference:

Establishing and evaluating trustworthy AI: overview and research challenges
Ironies of Generative AI: Understanding and Mitigating Productivity Loss in Human-AI Interaction
  • Citing Article
  • October 2024

... As Generative AI (GenAI) tools achieve widespread penetration in knowledge workflows, an increasingly common observation made by user studies is that prompting, i.e., the skillful and effective use of natural language for steering and eliciting GenAI behavior, is challenging for many users in many contexts [11,34,60, 66]. The challenges range from the increased explicit metacognitive demands of prompting, to the burden of explaining detailed requirements and context in textual format, to the opaque and unpredictable mapping of naturalistic language queries to system behavior. ...

"It's like a rubber duck that talks back": Understanding Generative AI-Assisted Data Analysis Workflows through a Participatory Prompting Study
  • Citing Conference Paper
  • June 2024

... The clear definition of objectives, agendas, preparatory materials, and task-related resources is an essential aspect of efficient meeting preparation and facilitation, notably in virtual settings [19,60]. Yet, due to time constraints, both meeting planners and participants may cut corners in laying out pre-meeting preparations [92]. During the meeting, while explicit items on the agenda direct the discourse, the meeting actually often transitions through implicit phases. ...

Mental Models of Meeting Goals: Supporting Intentionality in Meeting Technologies
  • Citing Conference Paper
  • May 2024

... Penultimately, Tiffany did not engage with Alex-TA outside of the first interview, their non-engagement rationale resonates with other work we have done wherein students who were learning something they perceived as complex did not have the cognitive bandwidth to also use Alex-TA-a complex process in its own right requiring a level of task and tool meta-awareness they might develop over time but not have initially. [33,34] The integration of AI tools into the curriculum to complement and transform traditional teaching and learning methods appears both advisable and inevitable. In doing so, it is crucial to promote responsible AI use and ensure that the technology supports rather than replaces critical thinking, student growth, skill development, and intellectual advancement. ...

The Metacognitive Demands and Opportunities of Generative AI
  • Citing Conference Paper
  • May 2024

... Other work showed that automatic detection of different types of conversations [116], emotions [117], bodily cues [16], and environmental factors [20] in meetings can predict aspects of meeting effectiveness. For reducing post-meeting effort, significant research has gone into automatic generation of meeting summaries, highlights, and action items, [4,54,74,75], as well as metrics [21,43] and post-meeting dashboards that attempt to provide feedback on meeting effectiveness [86,87] Both the prior research and commercial tools show promise, but they have shortcomings if we consider the overall problems of ineffective meetings and meeting fatigue. First, they concentrate on features to improve specific pain points, usually because there is a clear technical path to a solution (e.g. ...

Meeting Effectiveness and Inclusiveness: Large-scale Measurement, Identification of Key Features, and Prediction in Real-world Remote Meetings
  • Citing Article
  • April 2024

Proceedings of the ACM on Human-Computer Interaction

... Head-tracked speakers or headphones allow us to simulate locations of sound sources around the user through spatial audio (e.g., placing a sound source in mid-air [34]). Using spatial audio for speech has been shown to aid speaker identification, improve intelligibility, reduce cognitive load, and increase social presence [2,37,43,50] and spatialized environmental sounds can lead to increased spatial awareness of objects in the space [58]. ...

Hear We Are: Spatial Audio Benefits Perceptions of Turn-Taking and Social Presence in Video Meetings
  • Citing Conference Paper
  • September 2023

... Such an observation is then used to improve the satisfaction of the users through the attraction paradigm, i.e., the tendency to like robots according to whether their traits are perceived to be similar or different [6]. Similarly, findings related to the proxemics of virtual environments can play a significant role in the the improvement of human-agent interactions [1] or the development of voice spatialisation in technology-mediated communications such as video conferencing [19] and hybrid learning [50]. ...

Spatialized Audio and Hybrid Video Conferencing: Where Should Voices be Positioned for People in the Room and Remote Headset Users?
  • Citing Conference Paper
  • April 2023