Growing Up in Pain: Anorexia Nervosa and Family Therapy in a Chinese Context

Despite the increasing visibility and complexity of anorexia nervosa (AN) in Chinese societies such as Hong Kong, family treatment for Chinese children and youths suffering from AN has been inadequately documented in the literature. In this chapter, the author will describe conceptualization of the disorder in the light of a systemic and developmental framework; describe the process of contextualizing the symptoms of AN; identify critical issues pertinent to treatment success; and highlight the therapist’s roles in the healing journey of patients with AN, using a case illustration. More importantly, the author will critically appraise, through a cultural lens, key family therapy concepts, namely emotional enmeshment versus emotional disengagement, boundary and cross-generational collusion, which have restrained the parent/s and the patient to join hands together to drive away the disorder

Decoding a Complex Visualization in a Science Museum -- An Empirical Study

This study describes a detailed analysis of museum visitors' decoding process as they used a visualization designed to support exploration of a large, complex dataset. Quantitative and qualitative analyses revealed that it took, on average, 43 seconds for visitors to decode enough of the visualization to see patterns and relationships in the underlying data represented, and 54 seconds to arrive at their first correct data interpretation. Furthermore, visitors decoded throughout and not only upon initial use of the visualization. The study analyzed think-aloud data to identify issues visitors had mapping the visual representations to their intended referents, examine why they occurred, and consider if and how these decoding issues were resolved. The paper also describes how multiple visual encodings both helped and hindered decoding and concludes with implications on the design and adaptation of visualizations for informal science learning venues.Comment: IEEE VIS (InfoVis/VAST/SciVis) 2019 ACM 2012 CCS - Human-centered computing, Visualization, Empirical studies in visualizatio

Anorexic Eating: Two Case Studies in Hong Kong

Little attention has been paid to the eating experience of anorectic females during the course of their illness. In order to enrich this understanding, two adult anorexics were selected and their emails were collected and analyzed. Analysis of these emails reveals the patients\u27 experiences with and feelings about eating, which can provide an in-depth understanding of their circumstances and family dynamics. The paper ends with a discussion of the results, limitations, and implications of using emails as the data source of a qualitative study, and how they can reveal the informants\u27 inner landscapes

Sea of Genes: Combining Animation and Narrative Strategies to Visualize Metagenomic Data for Museums

We examine the application of narrative strategies to present a complex and unfamiliar metagenomics dataset to the public in a science museum. Our dataset contains information about microbial gene expressions that scientists use to infer the behavior of microbes. This exhibit had three goals: to inform (the) public about microbes' behavior, cycles, and patterns; to link their behavior to the concept of gene expression; and to highlight scientists' use of gene expression data to understand the role of microbes. To address these three goals, we created a visualization with three narrative layers, each layer corresponding to a goal. This study presented us with an opportunity to assess existing frameworks for narrative visualization in a naturalistic setting. We present three successive rounds of design and evaluation of our attempts to engage visitors with complex data through narrative visualization. We highlight our design choices and their underlying rationale based on extant theories. We conclude that a central animation based on a curated dataset could successfully achieve our first goal, i.e., to communicate the aggregate behavior and interactions of microbes. We failed to achieve our second goal and had limited success with the third goal. Overall, this study highlights the challenges of telling multi-layered stories and the need for new frameworks for communicating layered stories in public settings.Comment: This manuscript has been accepted to VIS 2020 and TVCG 9 pages 2 reference

Through the Lens of Postmodernism: Uniqueness of the Anorectic Families

This paper challenges the monolithic assumption of the anorectic families in Hong Kong by blindly adopting the western theoretical framework of family therapy. It is problematic that family therapy lacks indigenous culture-specific knowledge and ignores the voices of these multi-categories of families. It is inappropriate to conceptualize these families as being similar and to stereotype them as experiencing particular difficulties. In order to bridge the homogeneity and address the multiplicity of these families, the paper examines both the ideologies of postmodernism and the process of confession that can enrich the understanding of anorectic families and advance family practice. The paper ends by discussing both reservations and the significance of the postmodernist thought in family therapy

Reducing sensor complexity for monitoring wind turbine performance using principal component analysis

Availability and reliability are among the priority concerns for deployment of distributed generation (DG) systems, particularly when operating in a harsh environment. Condition monitoring (CM) can meet the requirement but has been challenged by large amounts of data needing to be processed in real time due to the large number of sensors being deployed. This paper proposes an optimal sensor selection method based on principal component analysis (PCA) for condition monitoring of a DG system oriented to wind turbines. The research was motivated by the fact that salient patterns in multivariable datasets can be extracted by PCA in order to identify monitoring parameters that contribute the most to the system variation. The proposed method is able to correlate the particular principal component to the corresponding monitoring variable, and hence facilitate the right sensor selection for the first time for the condition monitoring of wind turbines. The algorithms are examined with simulation data from PSCAD/EMTDC and SCADA data from an operational wind farm in the time, frequency, and instantaneous frequency domains. The results have shown that the proposed technique can reduce the number of monitoring variables whilst still maintaining sufficient information to detect the faults and hence assess the system’s conditions

The Secrets of Self-Starvation

This is a single case study for which a life history approach was adopted. The informant, a patient suffering from anorexia nervosa (AN), was specifically selected because of her particular circumstances. Three themes emerged from her narrative that accounted for self-starvation: saving money, reserving food and competing for slenderness. The paper explores these themes and closes by emphasizing the necessity of understanding the sensitive and untold story of a patient’s self-starvation in her cultural-familial context

Towards A Holistic Landscape of Situated Theory of Mind in Large Language Models

Large Language Models (LLMs) have generated considerable interest and debate regarding their potential emergence of Theory of Mind (ToM). Several recent inquiries reveal a lack of robust ToM in these models and pose a pressing demand to develop new benchmarks, as current ones primarily focus on different aspects of ToM and are prone to shortcuts and data leakage. In this position paper, we seek to answer two road-blocking questions: (1) How can we taxonomize a holistic landscape of machine ToM? (2) What is a more effective evaluation protocol for machine ToM? Following psychological studies, we taxonomize machine ToM into 7 mental state categories and delineate existing benchmarks to identify under-explored aspects of ToM. We argue for a holistic and situated evaluation of ToM to break ToM into individual components and treat LLMs as an agent who is physically situated in environments and socially situated in interactions with humans. Such situated evaluation provides a more comprehensive assessment of mental states and potentially mitigates the risk of shortcuts and data leakage. We further present a pilot study in a grid world setup as a proof of concept. We hope this position paper can facilitate future research to integrate ToM with LLMs and offer an intuitive means for researchers to better position their work in the landscape of ToM. Project page: https://github.com/Mars-tin/awesome-theory-of-mindComment: Theme Track, Findings of EMNLP 202