ABOUT LUOBOLI
Independent inquiry into digital wellbeing and human experience.
Luoboli is an independent laboratory focused on digital wellbeing research. With a global perspective, we examine digital content, AI conversations, interactive stories and immersive experiences, reading original studies on emotional support, self-understanding and everyday relationships.
Research commentary, methods and product observations are the site’s current focus. We explain what studies did and found, including different results and evidence limits. Team surveys and untested research proposals are identified separately.
Digital wellbeing as a research question
Our interest is whether digital experiences can offer everyday emotional support and help people understand themselves. We consider immediate feelings alongside lasting change, individual differences and context. Feeling calm, understood or keen to return does not by itself establish a treatment benefit.
Research commentary, product hypotheses and tested findings are identified separately. Findings from team surveys are shared after formal publication; survey data is not used for product training or marketing.
Operations, content and product interests
Luoboli is operated by 萝钵力（北京）科技有限公司 (Luoboli Beijing Technology Co., Ltd.). AI assists with source organization, writing and Chinese and English expression. New articles explain its role at the end and state whether hands-on product testing or original interviews were conducted.
Disclosure: The operating team develops Luoboli Six Realms and provides Heart to Heart and Sleep, creating relevant commercial interests. Six Realms is one product example among the wider field. Product descriptions are presented separately from research evidence; findings about other products do not establish these owned products’ effects.
Questions about digital interactions
What makes people willing to confide in AI?
What do people hope to receive from a response? We examine self-disclosure, feeling understood and emotional expression, including how expectations vary with circumstances and personal experience.
How do trust and attachment develop?
How do repeated responses, human-like language and source disclosure shape people’s understanding of AI? We explore companionship, dependence and personal judgment, alongside relationships beyond the interaction.
What evidence would show that an experience helps?
What comparisons and measures can connect an immediate feeling with change in everyday life? We consider who findings apply to, unintended effects and differences between people.
Independent judgment, with its basis made clear
Independence means choosing research topics and forming judgments from sources readers can check, without accepting payment to alter research conclusions. It does not mean we have no interests in every product discussed. We disclose owned products and collaborations and do not present them as independent third-party testing.
Future collaborative research
We hope to discuss joint research with researchers, content creators and VR teams to better understand immersion, interaction and human feelings. This is a future direction, not a claim of established partnerships, available services or demonstrated effects.
How we approach research coverage
- Link to the original paper and explain its question, sample and methods.
- Distinguish association from causation, and separate findings, the authors’ explanations and our own interpretation.
- Each article includes an evidence rating:
- Stronger evidenceSupport across independent, relevant studies of appropriate quality, considering bias and scope
- Moderate evidenceDirectly relevant findings with limits in replication, causal interpretation, or generalizability
- Preliminary evidenceDeveloping evidence or constraints in sample, methods, or review status; see the explanation in each article
- Correct errors openly and keep a record of the changes.
- Do not accept payment to change conclusions. Clearly label collaborations and disclose relevant interests.
- New articles disclose AI involvement at the end and state whether hands-on tests or original interviews were conducted. AI source checking is not described as human review. Illustrative examples, product suggestions and untested hypotheses are clearly identified.
Corrections
Bedtime audio: corrected Chinese duration figures
The Chinese bedtime-audio article now reports the source-confirmed sleep-duration changes: about 53 minutes for stories and 33 for control, a difference of about 20 minutes. The English figures were already correct. Primary-outcome and secondary-outcome limitations remain. Read article
Clarifying figures from the Stanford AI companionship study
“Less than 12%” and “more than half” refer to answers to two different questions in the same survey, rather than a change over time. This has been corrected in “AI companionship and wellbeing: findings from a user survey”.
AI generation and sourcing: AI prepared this page from the laboratory direction confirmed by the user, existing site materials and the listed public sources. This site conducted no outcome testing of these products or original interviews. Future research directions and specific hypotheses remain untested.