Session:「Coping with Mental Health Challenges」

Pocket Skills: A Conversational Mobile Web App To Support Dialectical Behavioral Therapy

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173972

論文アブストラクト: Mental health disorders are a leading cause of disability worldwide. Although evidence-based psychotherapy is effective, engagement from such programs can be low. Mobile apps have the potential to help engage and support people in their therapy. We developed Pocket Skills, a mobile web app based on Dialectical Behavior Therapy (DBT). Pocket Skills teaches DBT via a conversational agent modeled on Marsha Linehan, who developed DBT. We examined the feasibility of Pocket Skills in a 4-week field study with 73 individuals enrolled in psychotherapy. After the study, participants reported decreased depression and anxiety and increased DBT skills use. We present a model based on qualitative findings of how Pocket Skills supported DBT. Pocket Skills helped participants engage in their DBT and practice and implement skills in their environmental context, which enabled them to see the results of using their DBT skills and increase their self-efficacy. We discuss the design implications of these findings for future mobile mental health systems.

日本語のまとめ:

弁証法的行動療法(DBT)に基づくモバイルウェブアプリとして Pocket Skills を開発した.心理療法を行っている73名に対して4週間のフィールド調査を行った結果,参加者はうつ状態と不安感が減少し,DBTスキルが使えるようになった.

Identification of Imminent Suicide Risk Among Young Adults using Text Messages

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173987

論文アブストラクト: Suicide is the second leading cause of death among young adults but the challenges of preventing suicide are significant because the signs often seem invisible. Research has shown that clinicians are not able to reliably predict when someone is at greatest risk. In this paper, we describe the design, collection, and analysis of text messages from individuals with a history of suicidal thoughts and behaviors to build a model to identify periods of suicidality (i.e., suicidal ideation and non-fatal suicide attempts). By reconstructing the timeline of recent suicidal behaviors through a retrospective clinical interview, this study utilizes a prospective research design to understand if text communications can predict periods of suicidality versus depression. Identifying subtle clues in communication indicating when someone is at heightened risk of a suicide attempt may allow for more effective prevention of suicide.

日本語のまとめ:

自殺未遂歴がある個人のSNSのテキストデータを収集・分析し,うつ状態と自殺の期間が予測できることを明らかにした.特徴量指標としてTF-IDFとLIWCを使い,SVMとDNNを使って分類モデルを構築した.TF-IDFとDNNの組み合わせがベストであった.

Modern Bereavement: A Model for Complicated Grief in the Digital Age

論文URL: http://dl.acm.org/citation.cfm?doid=3173574.3173990

論文アブストラクト: The experience of grief and death is an inevitable part of life. Grief, a natural response to death, can be a challenging and emotionally taxing journey. Bereaved individuals often feel lost in a fog, unaware of resources available to them and unsure of which resources could be useful for supporting their healing process. Complicated grief, a more intense form of grief that extends beyond six months following the death of a loved one, presents both a unique challenge and a design opportunity for the HCI community. In this work, we present the results of a survey and interview study on the technological practices of complicated grievers. Based on themes found in the data, we propose a new model for complicated grief in the digital age, consisting of the following phases: Fog, Isolation, Exploration, Immersion, and Stabilization. We then present a set of design considerations for designers seeking to create tools for complicated grievers navigating their unique grief journeys.

日本語のまとめ:

複雑性悲嘆(愛する人を亡くして6ヶ月以上持続する深い悲しみ)の症状にある人がテクノロジーをどのように使っているか調査した.99名への質問紙調査と11名へのインタビューを実施し,複雑性悲嘆のモデルとツール開発時の検討項目を提案した.