Risk　assessment　of　in-vehicle　devices　is　an　important　part　of　the　study　of　distracted　driving.　In　this　study,　a　visual　distraction　assessment　method　was　formulated　based　on　the　AttenD　algorithm.　Driving　simulator　experiments　were　conducted　with　five　secondary　tasks　including　navigation,　tuning　the　radio,　replying　to　a　text　message,　replying　to　a　voice　message,　and　making　a　phone　call.　Drivers＇　general　visual　and　visual　characteristics　in　the　process　of　performing　different　secondary　tasks　were　observed.　An　assessment　method　of　secondary　tasks　based　on　the　AttenD　algorithm　is　proposed,　and　the　degree　of　visual　distraction　of　drivers　with　different　experience　and　ages　under　different　secondary　tasks　was　evaluated　and　ranked.　The　results　show　that　a　significant　difference　exists　among　visual　features　under　different　secondary　tasks;　drivers＇　experience　and　age　and　secondary　tasks　had　an　interaction　effect　on　visual　features.　This　assessment　method　lays　the　foundation　for　the　visual-manual　standard　development　of　in-vehicle　information　systems.