Defense Acquisition Research Journal Issue 95

Technology Trust

https://www.dau.edu

TABLE 7. ANOVA II Model

P -value

ANOVA on VAR15; VAR115; VAR415

0.0000

ANOVA on VAR16; VAR116; VAR416

0.0000

ANOVA on VAR17; VAR117; VAR417

0.0000

ANOVA on VAR18; VAR118; VAR418

0.0000

ANOVA on VAR18; VAR118; VAR418

0.0008

ANOVA on VAR20; VAR120; VAR420

0.0003

ANOVA on VAR21; VAR121; VAR421

0.0001

ANOVA on VAR22; VAR122; VAR422

0.0000

ANOVA on VAR23; VAR123; VAR423

0.0001

ANOVA on VAR24; VAR124; VAR424

0.0000

ANOVA on VAR28; VAR128; VAR428

0.0232

ANOVA on VAR29; VAR129; VAR429

0.0157

ANOVA on VAR31; VAR131; VAR431

0.0114

ANOVA on VAR35; VAR135; VAR435

0.0089

ANOVA on VAR38; VAR138; VAR438

0.0472

ANOVA on VAR43; VAR143; VAR443

0.0324

We conclude that: • Direct-Control systems tend to benefit the most from the knowledge gained from additional information and hands-on experimentation. • Remote-Control systems tend to benefit somewhat from the knowledge gained from additional information and hands-on experimentation. • Autonomous systems tend to benefit the least from the knowl edge gained from additional information and hands-on experimentation, and in fact, the additional work performed contributes added insights to only 18% of the cases.

The formation of trust in technology is governed by two constructs: reason based trust and experience-based trust.

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Defense ARJ, January 2021, Vol. 28 No. 1 : 2-39