Eytan Adar’s research while affiliated with University of Michigan and other places

... (1) Design for confident information sharing through client control and role-aligned input (2) Accommodate diverse preferences through customisation for both clients and designers [29]. While it is the job of designers to create a satisfying product, it is the job of clients to provide information on requirements, opinions, and preferences [9]. ...

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"If we misunderstand the client, we misspend 100 hours": Exploring conversational AI and response types for information elicitation

... While LLMs can efficiently process large datasets and identify potential citation issues, researchers caution against viewing these models as a replacement of human judgment. Ashkinaze et al. (2024) emphasize that evaluating citations often requires a deeper understanding of context, source reliability, and potential biases. In these areas, human editors are superior to current AI models. ...

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An endangered species: how LLMs threaten Wikipedia’s sustainability

... Current research reveals that LLMs exhibit a strong preference toward contextual knowledge over parametric knowledge Xie et al., 2024a). This preference becomes problematic in scenarios involving conflicting knowledge or contextual inconsistencies (Lee et al., 2024;Dai et al., 2024;Tan et al., 2024), often resulting in erroneous outputs as shown in Figure 1. Therefore, enabling large models to effectively integrate between parameter and contextual knowledge remains a critical challenge. ...

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Knowledgeable-r1: Policy Optimization for Knowledge Exploration in Retrieval-Augmented Generation

... While AI-assisted writing tools offer significant benefit, recent empirical studies have raised concerns about their impact on authorship, voice, and creativity [8,40,60,61]. For instance, Behrooz et al. [8] found that while writers may be open to receiving AI support, they stress the need for clear boundaries to maintain creative agency. ...

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StorySage: Conversational Autobiography Writing Powered by a Multi-Agent Framework

... Consequently, participants in the studied sample might have had to cross a larger barrier to relate to issues related to environmental sustainability (Spence et al. 2012), and rely on their fantasy to transpose themselves into fictitious situations (Davis 1983). This finding corroborates findings by Murphy et al. (2021), who observe that novice designers demonstrate a tendency to rely on and impose their own experiences when considering people in the design process. Additionally, these findings highlight the potential interaction between (1) the psychological distance (McDonald et al. 2015) between the designers and the problem/context, and (2) the designers' ability to relate to and identify these requirements-an implication also made by Murphy et al. (2021). ...

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Feeling the Heat: Investigating the Influence of Novice Designers’ Trait Empathy, and their Beliefs, Attitudes, and Intentions Towards Sustainability on their Identification of Problem Requirements

... 1) Geometrical Quality Metrics These metrics directly evaluate the structure and spatial accuracy of the generated 3D scene (often by comparing point clouds, meshes, or volumetric representations): Input References Text [9], [16], [21], [24], [25], [27], [28], [30], [34], [36], [37], [44], [53], [55], [56], [57], [59], [63], [67], [71], [74], [78], [86], [88], [89], [90], [91], [92], [93], [94], [95], [96], [97], [98], [102], [103], [119], [108], [109], [111], [121], [122] Image [9], [29], [70], [78], [11], [15], [16], [18], [26], [32], [39], [41], [46], [47], [48], [57], [60], [67], [69], [71], [74], [81], [83], [85], [87], [100], [104], [114], [116], [121] Text and Image [9], [29], [30], [31], [33], [34], [93], [99], [102], [103] Image and Depth [18], [42], [66] Mesh [19], [20], [38], [58], [61], [76], [78], [79], [80], [82], [101], [111], [112] Voxel [51], [64], [84] Video [110], [115] Point Cloud [43], [52], [68], [72], [73], [75], [ compare the statistical distribution of generated features with real data, which can apply in a perceptual context. Table VIII highlights a range of metrics used to evaluate the authenticity of independently generated environments, highlighting their application in Gen AI for the creation of 3D assets. ...

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AI-powered Contextual 3D Environment Generation: A Systematic Review

... References Interactive 3D Design [9], [10], [11], [12], [13], [14], [15], [16], [17], [18], [19], [20], [21], [22], [23], [24], [25], [26], [27] Image Generation [9], [28], [29], [30], [31], [32], [33], [34], [35], [36], [37] 3D Scene Generation [14], [15], [16], [17], [18], [22], [23], [24], [38], [39], [40], [41], [42], [43], [44], [45], [46], [47], [48], [49], [50], [51], [52], [53], [54], [55], [56], [57], [58], [59], [60], [61], [62], [63] 3D Reconstruction [10], [11], [13], [14], [17], [19], [22], [26], [27], [38], [41], [42], [43], [48], [49], [52], [53], [58], [59], [60], [64], [65], [66], [67], [68], [69], [70], [71], [72], [73], [74], [75], [76], [77], [78], [79], [80], [81], [82], [83], [84] 3D Segmentation [10], [18], [42], [54], [61], [68], [72], [73], [75], [78], [81], [85], [86], [87], [88], [89] Text-to-3D Generation [16], [44], [45], [53], [56], [67], [78], [90], [91], [92], [93], [94], [95], [96], [97], [98], [99] Image-to-3D Conversion [67], [78], [93], [100] Dataset Augmentation [75], [78], [81], [101] Novel View Synthesis [28], [33], [70], [87] Style Transfer in 2D [30], [34], [102] Style Transfer in 3D [15], [64], [67], [76], [86], [88], [89], [103], [104], [105], [106], [107] Design Optimization [12], [20], [22], [23], [27], [40], [50], [62], [98], [107], [108] Graph Generation [109] Procedural Generation [13], [15], [22], [26], [50], [51], [57], [82], [88], [97] Animation and Rigging [97], [98] Table III WORKS CLASSIFIED BY THE PROBLEM THEY ATTEMPT TO SOLVE deformations, while GEM3D [52] breaks down the diffusion process into medial abstractions, enabling detailed skeletal synthesis for 3D shapes. These advances emphasize the importance of structural abstraction in creating functional assets. ...

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AI-powered Contextual 3D Environment Generation: A Systematic Review

... Given its popularity and accessibility, many researchers have conducted studies in Wikipedia, exploring various aspects of the platform, such as its content, structure, and social dynamics. Those studies have provided insights into issues such as automatically assessing article quality (Dalip et al. 2009;Shen, Qi, and Baldwin 2017), analyzing citations (Piccardi et al. 2020;Baigutanova et al. 2023), images (He et al. 2018;Rama et al. 2022), andinfo-boxes (Graells-Garrido, Lalmas, andMenczer 2015;Lewoniewski 2017) or understanding readers' preferences (Lehmann et al. 2014). Other works focused on identifying underrepresented groups (Graells-Garrido, Lalmas, and Menczer 2015;Mandiberg 2023;Gallert et al. 2016;Sethuraman, Grinter, and Zegura 2020;Hoenen and Rahn 2021) and the asymmetry of the coverage across different language versions (Hale 2015;Graham 2011;Lemmerich et al. 2019;Roy, Bhatia, and Jain 2020;Ashrafimoghari 2023). ...

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Disappearing without a Trace: Coverage, Community, Quality, and Temporal Dynamics of Wikipedia Articles on Endangered Brazilian Indigenous Languages

... A list of debunking/fact-checking tools is provided in Table V along with details. In addition, several fact-checked corpora were published, such as CREDBANK [61], Check-worthy [117], and RumorLens [118]. In order to create CREDBANK, more than 1 billion tweets were tracked in real time over a period of more than three months. ...

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A Literature Review on Detecting, Verifying, and Mitigating Online Misinformation

... Despite these challenges, memes should be embraced as a useful and innovative pedagogical tool. They have already been identified as important social exchanges with the ability to raise awareness and inform (or misinform) users across cultures on emerging political and social issues (Brodie, 2009;Du et al., 2020;Simmons et al., 2011). Further, memes can also promote political change and foster feelings of connectedness (McLoughlin & Southern, 2021;Vásquez, 2019;Zhang & Pinto, 2021). ...

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Engaging with extremely online psychology students: Creating a meme "study guide"