Computer Interfaces to Organizations: Perspectives on Borg-Human Interaction Design

We use the term borg to refer to the complex organizations composed of people, machines, and processes with which users frequently interact using computer interfaces and websites. Unlike interfaces to pure machines, we contend that borg-human interaction (BHI) happens in a context combining the anthropomorphization of the interface, conflict with users, and dramatization of the interaction process. We believe this context requires designers to construct the human facet of the borg, a structure encompassing the borg's personality, social behavior, and embodied actions; and the strategies to co-create dramatic narratives with the user. To design the human facet of a borg, different concepts and models are explored and discussed, borrowing ideas from psychology, sociology, and arts. Based on those foundations, we propose six design methodologies to complement traditional computer-human interface design techniques, including play-and-freeze enactment of conflicts and the use of giant puppets as interface prototypes.Comment: 10 page

Association between change in Hsp90 expression and cell line generation time between 2% and 20% O₂ culture.

<p>P<0.005.</p><p>Changes in cell line generation time were correlated with changes in Hsp90 expression between the 2% and 20% O₂ culture conditions.</p

Association between change in Hsp90 expression and cell line viability between 2% and 20% O₂ culture.

<p>P<0.01.</p><p>Changes in cell line viability were correlated with changes in Hsp90 expression between the 2% and 20% O₂ culture conditions.</p

Effect of low oxygen culture on melanoma cell line generation time and viability.

<p>Eighteen melanoma cell lines were cultured under identical conditions in 2% and 20% O₂ for five days. Following the culture period, the cell lines were harvested and living and dead cells enumerated using trypan blue. Total number of living cells was used to calculate generation time, and ratio of live to dead cells was used as a marker of cell viability.</p

Cell surface expression of hsps on melanoma cell lines.

<p>Ten melanoma cell lines were cultured in 20% O₂ for five days. Following the culture period cell lines were harvested, stained for cell surface Hsp90, Hsp70, Hsp60, Hsp40 and Hsp32 and protein expression assessed by flow cytometry. A Fluorescence Index was calculated (fold increase in mean fluorescence of the stained cells compared with the unstained cells) and was used as a comparative measure of protein expression.</p

Correlation between Hsp90 expression and cell line ligand adhesion.

<p>Hsp expression was tested for correlation with the adhesion ability of these cell lines to the collagen type IV, fibronectin and laminin ligands.</p

Effect of low oxygen culture on hsp expression.

<p>Forty two melanoma cell lines were cultured in 20% O₂ and 18 of these cell lines additionally in 2% O₂ for five days. Following the culture period, the cell lines were harvested and the number of living and dead cells determined using trypan blue. The ratio of live to dead cells was used as a marker of cell viability.</p

Change in hsp expression in response to low oxygen tension.

<p>Eighteen melanoma cell lines were cultured under identical conditions in 2% and 20% O₂. After five days the cell lines were harvested, stained with PE-conjugated hsp antibodies and protein expression assessed by flow cytometry. A Fluorescence Index was calculated (fold increase in mean fluorescence of the stained cells compared with the unstained cells) and was used as a comparative measure of protein expression.</p

Relationship between hsp expression and patient clinical parameters.

<p>Hsp expression was investigated for association with melanoma patient clinical parameters.</p

Multiparameter flow cytometric analysis of CD4 and CD8 T cell subsets in young and old people-0

D8+ T cells were subdivided into the main T cell subsets using CD45RA and CCR7. (C) The CD45RA+CCR7+ N, CD45RA-CCR7+ CM, CD45-CCR7- EM and CD45RA+ CCR7- TEMRA CD8+ T cells were plotted against CD27 and CD28. According to the subset model (Figure 1) the different CD27 and CD28 dependent subpopulations (D) CM, (E) N, (F) EM and (G) TEMRA subsets were analyzed for CD57 and KLRG1.<p><b>Copyright information:</b></p><p>Taken from "Multiparameter flow cytometric analysis of CD4 and CD8 T cell subsets in young and old people"</p><p>http://www.immunityageing.com/content/5/1/6</p><p>Immunity & Ageing : I & A 2008;5():6-6.</p><p>Published online 25 Jul 2008</p><p>PMCID:PMC2515281.</p><p></p